From 528cd79d40c2e6c0a079a46c1274c4512bc16869 Mon Sep 17 00:00:00 2001 From: Martijn Remmen Date: Mon, 16 May 2022 15:40:48 +0200 Subject: [PATCH] work in progress gemerged --- appendix/interview.tex | 10 +- appendix/survey.tex | 18 +- bibliography.bib | 132 ++-- chapters/1 - inleiding.tex | 4 +- chapters/3 - methode.tex | 43 +- chapters/4 - resultaten.tex | 309 ++++++--- chapters/5 - conclusie.tex | 122 +++- chapters/6 - discussie.tex | 6 + data-analyse/survey.ipynb | 893 ++++++++++++++++++++++++-- data-analyse/topdesk_changes.ipynb | 86 ++- data-analyse/topdesk_incidenten.ipynb | 2 +- figures/src/continuous_practices.dot | 37 ++ figures/src/event_based_model.dot | 4 + figures/src/onderzoeksopzet.dot | 4 +- figures/src/root_cause.dot | 17 + main.tex | 7 +- 16 files changed, 1451 insertions(+), 243 deletions(-) create mode 100644 chapters/6 - discussie.tex create mode 100644 figures/src/continuous_practices.dot create mode 100644 figures/src/event_based_model.dot create mode 100644 figures/src/root_cause.dot diff --git a/appendix/interview.tex b/appendix/interview.tex index 86bef3e..fec5bee 100644 --- a/appendix/interview.tex +++ b/appendix/interview.tex @@ -2,17 +2,17 @@ \item Wat is jouw functie binnen KEMBIT en het Expert Team Networking?\\ > Teamleider van het Expert Team Networking. Vertegenwoordigt het networking team tegenover KEMBIT. \item Wat zijn jouw specialisaties?\\ - > Powershell, Ansible, een beetje Python. Networking expert. Gebruiksvriendelijkheid en optimalisatie van bussiness processen. + > Powershell, Ansible, een beetje Python. Networking expert. Gebruiksvriendelijkheid en optimalisatie van business processen. \item Zou je een beknopte omschrijving kunnen geven van de dienstverlening van het expertteam networking?\\ > ETN biedt dienstverlening omtrent connectiviteit, network security, bedenken, bouwen, beheren. \item Wat voor een activiteiten zijn hiermee geassocieerd?\\ - > De algemene categorieen voor activiteiten zijn als volgt: facturatie, process, onderhoudsproces, securityproces, monitoringproces, backupproces, beheerproces. - \item Van deze activiteiten, welke zijn in jouw mening het meest ingrijpend en/of het meest interesant om automatisering op toe te passen?\\ - > De meeste tijd gaat naar het voorbereiden van onderhoud. De tweede is security. Hier moet namelijk worden geinventariseerd welke apparaten beinvloed worden, hier gaat het bijvoorbeeld om de ios versie of bepaalde configuraties. De bestede tijd staat geregistreerd in topdesk voor beheer en security. + > De algemene categorieën voor activiteiten zijn als volgt: facturatie, proces, onderhoudsproces, securityproces, monitoringproces, back-upproces, beheerproces. + \item Van deze activiteiten, welke zijn in jouw mening het meest ingrijpend en/of het meest interessant om automatisering op toe te passen?\\ + > De meeste tijd gaat naar het voorbereiden van onderhoud. De tweede is security. Hier moet namelijk worden geïnventariseerd welke apparaten beïnvloed worden, hier gaat het bijvoorbeeld om de ios versie of bepaalde configuraties. De bestede tijd staat geregistreerd in topdesk voor beheer en security. \item Zijn er al oplossingen onderzocht en/of momenteel in gebruik om deze activiteiten te automatiseren?\\ > We hebben een onderzoek gedaan naar het automatiseren van backups. Er is daarnaast een onderzoek gedaan naar automatiseringstools, hier is toen vastgesteld dat ansible zeer interessant is voor netwerkautomatisering dankzij de beschikbare ansible modules gericht op netwerkapparatuur. \item Wat zijn de bevindingen over deze oplossingen?\\ > Deze onderzoeken zijn interessant maar hebben niet veel nieuwe informatie/inzichten kunnen bieden in het concept en mogelijkheden. \item Heb je een bepaald toekomstbeeld van de manier waarop ETN te werk gaat?\\ - > (1) ad-hoc werkzaamheden met een automatiseringstool. (2) basic settings globaal kunnen configureren. (3) standaard changes geautomatiseerd uitvoeren. (4) Self service bieden aan klanten. (5) langer termijn, CI/CD. + > (1) ad-hocwerkzaamheden met een automatiseringstool. (2) basic settings globaal kunnen configureren. (3) standaard changes geautomatiseerd uitvoeren. (4) Selfservice bieden aan klanten. (5) langer termijn, CI/CD. \end{enumerate} \ No newline at end of file diff --git a/appendix/survey.tex b/appendix/survey.tex index 468cab0..6ec3b58 100644 --- a/appendix/survey.tex +++ b/appendix/survey.tex @@ -1,17 +1 @@ -\subsubsection*{Functie / rol} -\begin{enumerate} - \item Junior/medior/senior - \item Specialisatie - Wireless/Routing/Switching/Firewall -\end{enumerate} - -\subsubsection*{Kennis \& ervaring} -\begin{enumerate} - \item Programmeren - -\end{enumerate} - -\subsubsection*{Opinie netwerk automatisering} -\begin{enumerate} - \item Maak je momenteel gebruik van automatisering voor het uitvoeren van jouw werkzaamheden? - \item Zou je gebruik willen maken van automatisering voor het uitvoeren van jouw werkzaamheden? - \item Waarom wel/niet? -\end{enumerate}s \ No newline at end of file +TODO: Voeg notebook in? \ No newline at end of file diff --git a/bibliography.bib b/bibliography.bib index 26fa939..fa550ae 100644 --- a/bibliography.bib +++ b/bibliography.bib @@ -1,43 +1,3 @@ -@article{einstein, - author = "Albert Einstein", - title = "{Zur Elektrodynamik bewegter K{\"o}rper}. ({German}) - [{On} the electrodynamics of moving bodies]", - journal = "Annalen der Physik", - volume = "322", - number = "10", - pages = "891--921", - year = "1905", - DOI = "http://dx.doi.org/10.1002/andp.19053221004", - keywords = "physics" -} - -@book{dirac, - title={The Principles of Quantum Mechanics}, - author={Paul Adrien Maurice Dirac}, - isbn={9780198520115}, - series={International series of monographs on physics}, - year={1981}, - publisher={Clarendon Press}, - keywords = {physics} -} - -@online{knuthwebsite, - author = "Donald Knuth", - title = "Knuth: Computers and Typesetting", - url = "http://www-cs-faculty.stanford.edu/~uno/abcde.html", - keywords = "latex,knuth" -} - -@inbook{knuth-fa, - author = "Donald E. Knuth", - title = "Fundamental Algorithms", - publisher = "Addison-Wesley", - year = "1973", - chapter = "1.2", - keywords = "knuth,programming" -} - - @book{richards_fundamentals_2020, address = {Sebastopol, CA}, edition = {First edition}, @@ -47,4 +7,94 @@ publisher = {O'Reilly Media, Inc}, author = {Richards, Mark}, year = {2020}, -} \ No newline at end of file +} + +@online{topdesk_asset_management, + author = {TOPdesk}, + title = {Asset Management}, + year = 2022, + url = {https://www.topdesk.com/nl/features/asset-management-software/ }, + urldate = {2022-05-02} +} + +@online{topdesk_itsm, + author = {TOPdesk}, + title = {IT Service Management}, + year = 2022, + url = {https://www.topdesk.com/nl/itsm-software/ }, + urldate = {2022-05-02} +} + +@online{superputty, + author = {Jim Radford}, + title = {SuperPuTTY}, + year = 2022, + url = {https://github.com/jimradford/superputty }, + urldate = {2022-05-02} +} + +@online{openssh, + author = {OpenSSH}, + title = {OpenSSH SSH Protocol Suite Features}, + year = 2022, + url = {https://www.openssh.com/features.html }, + urldate = {2022-05-02} +} + +@online{cattools, + author = {Solarwinds}, + title = {Kiwi CatTools -- Network Automation and Configuration Management software}, + year = 2022, + url = {https://www.kiwisyslog.com/kiwi-cattools }, + urldate = {2022-05-02} +} + +@online{prtg, + author = {Paessler}, + title = {PRTG Network Monitor}, + year = 2022, + url = {https://www.paessler.com/prtg }, + urldate = {2022-05-02} +} + +@online{ansible, + author = {Red Hat}, + title = {Ansible}, + year = 2022, + url = {https://www.ansible.com/ }, + urldate = {2022-05-02} +} + +@online{ansible_install_requirements, + author = {Red Hat}, + title = {Ansible Installation Prerequisites}, + year = 2022, + url = {https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html#prerequisites }, + urldate = {2022-05-06} +} + +@article{shahin_continuous_2017, + title = {Continuous {Integration}, {Delivery} and {Deployment}: {A} {Systematic} {Review} on {Approaches}, {Tools}, {Challenges} and {Practices}}, + volume = {5}, + issn = {2169-3536}, + shorttitle = {Continuous {Integration}, {Delivery} and {Deployment}}, + url = {http://ieeexplore.ieee.org/document/7884954/}, + doi = {10.1109/ACCESS.2017.2685629}, + abstract = {Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. With the increasing interest in the literature on continuous practices, it is important to systematically review and synthesize the approaches, tools, challenges, and practices reported for adopting and implementing continuous practices. This paper aimed at systematically reviewing the state of the art of continuous practices to classify approaches and tools, identify challenges and practices in this regard, and identify the gaps for future research. We used the systematic literature review method for reviewing the peerreviewed papers on continuous practices published between 2004 and June 1, 2016. We applied the thematic analysis method for analyzing the data extracted from reviewing 69 papers selected using predefined criteria. We have identified 30 approaches and associated tools, which facilitate the implementation of continuous practices in the following ways: 1) reducing build and test time in continuous integration (CI); 2) increasing visibility and awareness on build and test results in CI; 3) supporting (semi-) automated continuous testing; 4) detecting violations, flaws, and faults in CI; 5) addressing security and scalability issues in deployment pipeline; and 6) improving dependability and reliability of deployment process. We have also determined a list of critical factors, such as testing (effort and time), team awareness and transparency, good design principles, customer, highly skilled and motivated team, application domain, and appropriate infrastructure that should be carefully considered when introducing continuous practices in a given organization. The majority of the reviewed papers were validation (34.7\%) and evaluation (36.2\%) research types. This paper also reveals that continuous practices have been successfully applied to both greenfield and maintenance projects. Continuous practices have become an important area of software engineering research and practice. While the reported approaches, tools, and practices are addressing a wide range of challenges, there are several challenges and gaps, which require future research work for improving the capturing and reporting of contextual information in the studies reporting different aspects of continuous practices; gaining a deep understanding of how software-intensive systems should be (re-) architected to support continuous practices; and addressing the lack of knowledge and tools for engineering processes of designing and running secure deployment pipelines.}, + language = {en}, + urldate = {2022-05-09}, + journal = {IEEE Access}, + author = {Shahin, Mojtaba and Ali Babar, Muhammad and Zhu, Liming}, + year = {2017}, + pages = {3909--3943}, + file = {Shahin et al. - 2017 - Continuous Integration, Delivery and Deployment A.pdf:/home/martijn/Zotero/storage/YVLT9AMI/Shahin et al. - 2017 - Continuous Integration, Delivery and Deployment A.pdf:application/pdf}, +} + +@online{cisco_netwerk_security, + author = {Cisco}, + title = {Wat is netwerk security?}, + year = 2022, + url = {https://docs.ansible.com/ansible/latest/installation_guide/intro_installation.html#prerequisites }, + urldate = {2022-05-12} +} + diff --git a/chapters/1 - inleiding.tex b/chapters/1 - inleiding.tex index d232330..c028675 100644 --- a/chapters/1 - inleiding.tex +++ b/chapters/1 - inleiding.tex @@ -1 +1,3 @@ -\chapter{Inleiding} \ No newline at end of file +\chapter{Inleiding} + +Dit document bevat de methodes, resultaten en conclusie van het onderzoek dat is uitgevoerd voor het Expert Team Networking van KEMBIT. Er is onderzoek gedaan naar knelpunten en mogelijkheden in het toepassen van netwerkautomatisering. En hoe netwerkautomatisering toegankelijk kan worden gemaakt voor de medewerkers van het Expert Team Networking. \ No newline at end of file diff --git a/chapters/3 - methode.tex b/chapters/3 - methode.tex index b843682..7812382 100644 --- a/chapters/3 - methode.tex +++ b/chapters/3 - methode.tex @@ -1,7 +1,12 @@ \chapter{Methode} +Om de onderzoeksvragen te beantwoorden zijn verschillende methodes gebruikt. De samenhang tussen deze methodes is te zien in afbeelding \ref{fig:onderzoeksopzet}. Ten eerste wordt een survey, data-analyse en interview verricht om informatie uit het applicatiedomein te verzamelen. Deze informatie wordt verwerkt en geanalyseerd, hier zullen de behoeftes van de opdrachtgever uit blijken. Het kan ook zijn dat gedurende het interview of survey directe eisen ter sprake komen, deze kunnen gelijk als eis worden opgenomen. + +Daarnaast wordt een literatuurstudie verricht met name om verder te gaan op bestaand onderzoek en bekende oplossingen toepassen op het vervullen van vastgestelde problemen, eisen en mogelijkheden. Op basis hiervan wordt een ontwerp gemaakt van een technische oplossingen en deze wordt uitgewerkt in een Proof of Concept. Met het Proof of Concept kan vervolgens worden gereflecteerd op de eisen samen met de opdrachtgever of door field tests in het applicatiedomein. Dit kan leiden tot het aanpassen, herprioriteren of toevoegen van eisen. + \begin{figure}[h] \centering + \label{fig:onderzoeksopzet} \includegraphics[scale=0.7]{onderzoeksopzet.pdf} \caption{Onderzoeksopzet diagram} \end{figure} @@ -13,7 +18,15 @@ KEMBIT maakt gebruikt van een IT-servicemanagement systeem, genaamd TOPDesk. Dit De informatie in het IT-servicemanagement systeem kan dus worden gebruikt voor het beantwoorden van deelvragen 1 en 2 en daarmee inzichten krijgen in de beste plek in het proces om automatisering toe te passen. -De data-analyse is uitgevoerd met een interactief Python-notebook. In dit interactieve notebook is de code te zien waarmee de resulterende grafieken zijn gemaakt en kan zelfs worden aangepast en opnieuw uitgevoerd om andere inzichten te creeren (interactief). Door deze methode is de validiteit van de gemaakte grafieken goed te controleren. +De data-analyse wordt uitgevoerd met een interactief Python-notebook. In dit interactieve notebook is de code te zien waarmee de resulterende grafieken zijn gemaakt en kan zelfs worden aangepast en opnieuw uitgevoerd om andere inzichten te creëren (interactief). Door deze methode is de validiteit van de gemaakte grafieken goed te controleren. + +De data-analyse zal inzichten genereren over data die voldoet aan de volgende criteria: + +\begin{enumerate} + \item Het ticket of wijziging is aangemaakt tussen de jaartallen 2020 en 2022. + \item Het ticket of wijziging is afgerond. + \item Het ticket of wijziging staat op de behandelaarsgroep van het Expert Team Networking. +\end{enumerate} \section{Interview} @@ -37,9 +50,9 @@ De volgende onderwerpen zullen gedurende het interview behandeld worden, zie app \section{Survey} -Het expertteam networking is de doelgroep voor de uiteindelijke oplossing, zij zullen de automatseringsoplossing moeten kunnen toepassen in hun eigen werkzaamheden. Om ervoor te zorgen dat de oplossing is afgestemd op deze eindgebruikers zal een survey worden uitgevoerd. Uit de survey zal moeten blijken onder andere het algemene kennisniveau is binnen automatisering en wat de verwachtingen, wensen en eisen zijn van het Expert Team Networking. +Het Expert Team Networking is de doelgroep voor de uiteindelijke oplossing, zij zullen de automatiseringsoplossing moeten kunnen toepassen in hun eigen werkzaamheden. Om ervoor te zorgen dat de oplossing is afgestemd op deze eindgebruikers zal een survey worden uitgevoerd. Uit de survey zal moeten blijken onder andere wat het algemene kennisniveau is binnen automatisering en wat de verwachtingen, wensen en eisen zijn van het Expert Team Networking. -De resultaten van de survey moeten inzichten geven waarmee de onderzoeksvragen 4 \& 5 beantwoord kunnen worden. De volgende onderwerpen zullen behandeld worden in de survey (zie appendix \ref{appendix:survey} voor de exacte vragen): +De resultaten van de survey moeten inzichten geven waarmee de onderzoeksvragen 4 \& 5 beantwoord kunnen worden. De volgende onderwerpen zullen behandeld worden in de survey: \begin{itemize} \item Functie @@ -65,10 +78,32 @@ Op de resultaten van het interview, survey en data-analyse zal een root cause an In een literatuurstudie wordt gezocht naar nieuwe informatie (literatuur). Het doel van de literatuurstudie in dit onderzoek is het vinden van nieuwe manieren om de probleemstelling op te lossen (of met andere woorden; het realiseren van de requirements). -Gedurende de literatuurstudie worden verschllende zoekmethodes gehanteerd, namelijk: +Gedurende de literatuurstudie worden verschillende zoekmethodes gehanteerd, namelijk: \begin{itemize} \item \textit{Sneeuwbalmethode} - Het doorzoeken op inhoudelijke resultaten van vorige zoekopdrachten. \item \textit{Parelgroeimethode} - Het doorzoeken op zoekresultaten (niet inhoudelijk, maar het gebruiken van nieuwe zoektermen op basis van zoekresultaten) \item \textit{Citatiezoeken} - Zoeken naar publicaties welke de gevonden publicatie citeerd. Op deze manier kunnen nieuwe publicaties over een vergelijkbaar onderwerp worden gevonden. +\end{itemize} + +Bij het uitvoeren van de literatuurstudie is gebruik gemaakt van de volgende zoekmachines: \href{https://www.google.nl/}{google.com} voor het vinden van documentatie, handleidingen en artikelen. En \href{https://bibliotheek.zuyd.nl/}{bibliotheek.zuyd.nl} voor het vinden van academische artikelen. + +Voor het beoordelen van de resultaten zijn een aantal criteria aangehouden. Het doel van het aanhouden van deze criteria is alleen hoogwaardige correcte bronnen toelaten in het onderzoek. + +\begin{enumerate} + \item Het betreft een publicatie geschreven door een organisatie of auteur met bepaalde vastgestelde autoriteit op dat domein (bijvoorbeeld Red Hat over Ansible) + \item Publicatie heeft 30+ citaties. + \item Publicatie is Engels of Nederlandstalig. +\end{enumerate} + +De volgende zoektermen zijn gebruikt: + +\begin{itemize} + \item Software development best practices + \item Ansible + \item Networkautomation + \item declarative and imperative + \item CI/CD + \item PRTG + \item TOPdesk (Asset Management) (API) \end{itemize} \ No newline at end of file diff --git a/chapters/4 - resultaten.tex b/chapters/4 - resultaten.tex index 26f1d0a..3fc05d8 100644 --- a/chapters/4 - resultaten.tex +++ b/chapters/4 - resultaten.tex @@ -1,42 +1,5 @@ \chapter{Resultaten} -\begin{itemize} - \item Wat is automatisering - \begin{itemize} - \item Toelichting belang data (management) - \end{itemize} - \item Huidige situatie - \begin{itemize} - \item Data management - \item Processen - \item Resultaten Data analyse en relatie processen - \item Kennis \& ervaring (interview en survey) - \item Toekomstbeeld - \item Kansen - \end{itemize} - \item Mogelijkheden automatiseren (mooie marketing) - \begin{itemize} - \item Keuze maken voor ansible - \item Werking toelichten - \end{itemize} - \item Hoe implementeer je automatisering binnen business - \begin{itemize} - \item Toelichting tool - \begin{itemize} - \item Modules - \item Inventory - \end{itemize} - \item Roadmap voor opdrachtgever - \begin{itemize} - \item Dynamic inventory (poc) - \item Integratie(s) binnen business - \item Lab omgeving - \item Cultuurchange - \item Bedrijfsdocumentatie - \end{itemize} - \end{itemize} -\end{itemize} - \section{Introductie tot automatisering} @@ -170,15 +133,17 @@ Er zijn vele tools welke automatisering bevorderen of volledig zijn geoptimalise \subsection{Ansible} -Ansible is een op Python gebaseerde tool waarmee zeer diverse soorten automatiseringen kunnen worden gerealiseerd dankzij een uitgebreid assortiment aan eenvoudig te gebruiken modules en een YAML gebaseerde "Domain Specific Language". +Ansible is een op Python gebaseerde tool waarmee zeer diverse soorten automatiseringen kunnen worden gerealiseerd dankzij een uitgebreid assortiment aan eenvoudig te gebruiken modules en een YAML gebaseerde "Domain Specific Language" \cite{ansible}. Ansible is door KEMBIT als automatiseringstool naar keuze verkozen dankzij de flexibiliteit, uitbreidbaar, gebruiksvriendelijkheid en inzetbaarheid in haar huidige productieomgevingen. De tool is initïeel in gebruik genomen door het Expert Team Infrastructure, een ander team binnen KEMBIT gespecialiseerd in het beheren van servers. -Na evaluatie door het networking team wordt de tool als zeer potentieel beschouwd dankzij het uitgebreide assortiment aan netwerkmodules en officiele ondersteuning voor het automatiseren van netwerk gerelateerde taken waaronder configuratie. +Na evaluatie door het networking team wordt de tool als zeer potentieel beschouwd dankzij het uitgebreide assortiment aan netwerkmodules en officiele ondersteuning voor het automatiseren van netwerk gerelateerde taken waaronder configureren. \subsubsection*{Declaratieve Domain Specific Language} -Met Ansible kunnen gebruikers de gewenste staat van hun infrastructuur vastleggen in een Domain Specific Language (afgekort 'DSL'). Deze DSL is gebaseerd op YAML in combinatie met text templating door Jinja2. De doelstelling van deze DSL is om relatief gemakkelijk te kunnen schrijven, lezen en onderhouden zonder over uitgebreide programmeerervaring te beschikken. Daarnaast is het doel om alsnog zeer flexibel te zijn door onder andere het aanbieden van text templating functionaliteit waardoor het onder andere mogelijk is om gebruik te maken van bepaalde variabelen in text (zie regel 8 in figuur \ref{fig:playbook_voorbeeld}). +Met Ansible kunnen gebruikers de gewenste staat van hun infrastructuur vastleggen in een Domain Specific Language (afgekort 'DSL'). Een DSL is een benaming voor een programmeertaal die is geoptimaliseerd voor een bepaalde usecase. + +Ansibles DSL is gebaseerd op YAML in combinatie met text templating door Jinja2. De doelstelling van deze DSL is om relatief gemakkelijk te kunnen schrijven, lezen en onderhouden zonder over uitgebreide programmeerervaring te beschikken. Daarnaast is het doel om alsnog zeer flexibel te zijn door onder andere het aanbieden van text templating functionaliteit waardoor het onder andere mogelijk is om gebruik te maken van bepaalde variabelen in text (zie regel 8 in figuur \ref{fig:playbook_voorbeeld}). \begin{figure}[h] \begin{lstlisting}[numbers=left] @@ -197,20 +162,54 @@ Met Ansible kunnen gebruikers de gewenste staat van hun infrastructuur vastlegge \end{figure} +\subsubsection*{Werking} -\subsubsection*{Functionaliteit voor netwerkautomatie} +Ansible werkt op basis van een 'agentless' architectuur. Dit betekent dat er geen software nodig is op de apparatuur die beheerd wordt met Ansible. In het geval van het beheren van netwerkapparatuur is dit een vereiste. Dit komt doordat geen conventionele besturingssystemen worden uitgevoerd op deze apparaten maar een vrij minimalistisch besturingssysteem zonder de mogelijkheid om externe applicaties uit te voeren. +Bij het aansturen van een traditionele server met bijvoorbeeld Linux werkt Ansible door het overzetten van een Python script. Dit Python script wordt door Ansible zelf gegenereerd op basis van het playbook. Vervolgens wordt dit Python script uitgevoerd op het doelsysteem. Dit betekent wel dat Python hierop geinstalleerd moet zijn. +Ansible heeft ook ondersteuning voor verschillende andere soorten van verbindingen in plaats van het overzetten van een script en het uitvoeren hiervan op het doelsysteem. Deze andere soorten verbindingen worden mogelijk gemaakt door 'connection plugins'. Dit zijn plugins die definieren hoe Ansible kan communiceren met apparatuur en/of systemen. Omdat de meeste netwerkapparatuur in beheer door het Expert Team Networking (en netwerkapparatuur in het algemeen) geen ondersteuning biedt voor het uitvoeren van applicaties zoals Python zullen deze apparaten op een andere manier aangestuurd dienen te worden. +Om netwerkapparaten aan te sturen zijn verschillende andere mogelijkheden. Ansible biedt de volgende connection plugins voor netwerkapparatuur: + +\begin{itemize} + \item networkcli + \item netconf + \item napalm + \item httpapi +\end{itemize} \subsubsection*{Uitbreidbaarheid} -Ansible is zeer uitbreidbaar door het creeren van in Python geschreven modules waarmee bijna alle gewenste additionele koppelingen en/of functionaliteiten kunnen worden toegevoegd aan de automatietool. Ansible kent de volgende vormen van uitbreidbaarheid: +Ansible is zeer uitbreidbaar door het creeren van in Python geschreven modules waarmee bijna alle gewenste additionele koppelingen en/of functionaliteiten kunnen worden toegevoegd aan de automatietool. Ansible kent vele vormen van uitbreiding. Hiermee kunnen verschillende aspecten van de tool worden uitgebreid. Met name modules en inventory plugins -\begin{enumerate} - \item -\end{enumerate} + +\subsection{Continuous Practices} + +Continuous practices zoals continuous integration, delivery en deployment zijn praktijken in de software development sector die ervoor zorgen dat met hoge kwaliteit, regelmaat en betrouwbaarheid nieuwe features en producten kunnen worden uitgebracht \cite{shahin_continuous_2017}. + +\begin{figure}[h] + \centering + \includegraphics[scale=0.55]{continuous_practices.pdf} + \caption{Relatie tussen continuous integration, delivery en deployment \cite{shahin_continuous_2017}} +\end{figure} + + +\textbf{Continuous Integration (CI)} betekent het geautomatiseerd uitvoeren van tests op een codebase nadat hier een wijziging heeft plaatsgevonden. Dit motiveert om regelmatig aanpassingen te maken en publiceren. \cite{shahin_continuous_2017} + +De voornaamste redenen voor het toepassen van continuous integration zijn als volgt: + +\begin{itemize} + \item Verminderen van \textit{build en test tijden} bij het ontwikkelen en onderhouden van een actieve codebase \cite{shahin_continuous_2017}. + \item Vergroten van de \textit{zichtbaarheid en bekendheid} van testresultaten door deze centraal inzichtelijk te maken \cite{shahin_continuous_2017}. +\end{itemize} + +In de context van netwerkbeheer kan dat betekenen om netwerkconfiguraties te controleren op bijvoorbeeld security of correctheid wanneer deze worden aangepast in een gecentraliseerde repository. + +\textbf{Continuous DElivery (CDE)} betekent om op een geautomatiseerde manier nadat de continuous integration tests volledig zijn doorstaan de nieuwe release naar een testomgeving wordt gepubliceerd en vervolgens handmatig naar een productieomgeving. \cite{shahin_continuous_2017} + +\textbf{Continuous Deployment (CD)} gaat een stap verder en publiceert changes structureel en geautomatiseerd naar een productieomgeving. Het gebruik van CD impliceert ook het gebruik van CDE. Alleen is de finale stap van het publiceren naar een productieomgeving niet meer handmatig maar automatisch. \cite{shahin_continuous_2017} \section{Huidige situatie} @@ -220,22 +219,18 @@ Ansible is zeer uitbreidbaar door het creeren van in Python geschreven modules w Het Expert Team Networking beheert een groot aantal netwerkapparaten verspreid over verschillende fysieke locaties en klanten. Om deze apparaten gecentraliseerd te kunnen beheren wordt gebruik gemaakt van virtuele machine die verbonden is met alle locaties door tunnels. Door in te loggen op deze server kan alle apparatuur worden bereikt ondanks deze verschillende fysieke locaties staan en zonder daar naartoe te hoeven gaan om toegang te krijgen tot deze apparatuur. -Op de virtuele machine wordt met name gerbruik gemaakt van 'SuperPuTTY', dit is een opensource tool geoptimaliseerd om een groot aantal apparaten te beheren. Dit doet het door meerdere openstaande beheerverbindingen als tabbladen weer te geven en aan de zijkant een paneel met een overzicht van alle netwerkapparatuur te presenteren. Hierdoor kan een beheerverbinding worden opgezet door op het gewenste apparaat te klikken. Het overzicht van alle netwerkapparatuur wordt gegenereerd door een koppeling met TOPDesk Asset Management, een CMDB waar het Expert Team Networking gegevens opslaat over de netwerkapparaten. +Op de virtuele machine voorzien van Windows Server wordt met name gebruik gemaakt van 'SuperPuTTY', dit is een opensource tool geoptimaliseerd om een groot aantal apparaten te beheren \cite{superputty}. Dit doet het door meerdere openstaande beheerverbindingen als tabbladen weer te geven en aan de zijkant een paneel met een overzicht van alle netwerkapparatuur te presenteren. Hierdoor kan een beheerverbinding worden opgezet door op het gewenste apparaat te klikken. Het overzicht van alle netwerkapparatuur wordt gegenereerd door een koppeling met TOPDesk Asset Management, een CMDB waar het Expert Team Networking gegevens opslaat over de netwerkapparaten. Onder 'beheerverbinding' is in dit geval sprake van SSH (secure shell). Dit is een veelzijdig protocol voor het uitwisselen van versleutelde gegevens. In het geval van beheerwerkzaamheden wordt het gebruikt voor het overzetten van commando's en de output van deze commando's. SSH is de primaire manier om verbinding te maken met een netwerkapparaat en deze te configureren of commando's uit te voeren voor bijvoorbeeld troubleshooting. -Naast het bieden van toegang tot een shell maakt SSH nog veel meer mogelijk zoals het (veilig) overzetten van bestanden en het tunnelen van netwerkverkeer. +Naast het bieden van toegang tot een shell maakt SSH nog veel meer mogelijk zoals het (veilig) overzetten van bestanden en het tunnelen van netwerkverkeer \cite{openssh}. \subsection{Bestaande automatiseringen} Het Expert Team Networking heeft al enkele tools in gebruik die gedeeltelijke automatisering mogelijk maken. Zoals vernoemd in het vorige hoofdstuk is de koppeling tussen TOPDesk Asset Management en SuperPuTTY een voorbeeld van een relatief kleine maar waardevolle automatisering. -Zo zijn verschillende PowerShell tools geschreven om bepaalde functionaliteiten te bieden zoals - -powershell -cattools - +Zo zijn verschillende PowerShell tools gemaakt om bepaalde functionaliteiten te bieden zoals het uitvoeren van een commando op een groter aantal netwerkapparaten tegelijkertijd. Hiernaast wordt gebruik gemaakt van Kiwi CatTools \cite{cattools}, een tool die wordt gebruikt om backups te maken van productie netwerkapparatuur op een tijdschema. \subsection{Data management} @@ -245,14 +240,14 @@ Gezien het belang van data is voor het mogelijk maken van automatiseren wordt te \begin{itemize} \item TOPDesk \item TOPDesk Asset Management - \item PRTG + \item PRTG \cite{prtg} \end{itemize} \subsubsection{Topdesk} -Topdesk is een IT-servicemanagent tool die wordt gebruikt door KEMBIT in het uitvoeren van hun werkzaamheden. TOPDesk faciliteerd in het beheren van het ITIL proces door het bieden van een centraal systeem voor incidenten, changes en projecten. +Topdesk is een IT-servicemanagent tool die wordt gebruikt door KEMBIT in het uitvoeren van hun werkzaamheden. TOPDesk faciliteerd in het beheren van het ITIL proces door het bieden van een centraal systeem voor incidenten, changes en projecten \cite{topdesk_itsm}. Omdat TOPDesk als centraal punt dient in de dienstverling van KEMBIT kan het integreren hiermee mogelijkheden bieden voor automatisering waaronder: @@ -266,7 +261,7 @@ Omdat TOPDesk als centraal punt dient in de dienstverling van KEMBIT kan het int \subsubsection{Topdesk Asset Management} -Topdesk Asset Management is een module voor Topdesk die CMDB-functionaliteit toevoegd. Een 'configuration management database' is een systeem die wordt gebruikt voor het opslaan van informatie over hardware en software 'assets'. Dit is handig voor verschillende redenen bijvoorbeeld het bijhouden van bepaalde werkzaamheden die zijn uitgevoerd op een bepaald apparaat zoals reparaties. +Topdesk Asset Management is een module voor Topdesk die CMDB-functionaliteit toevoegd. Een 'configuration management database' is een systeem die wordt gebruikt voor het opslaan van informatie over hardware en software 'assets'. Dit is handig voor verschillende redenen bijvoorbeeld het bijhouden van bepaalde werkzaamheden die zijn uitgevoerd op een bepaald apparaat zoals reparaties \cite{topdesk_asset_management}. Een bedrijf kan elk soort apparaat in een CMDB willen opnemen, afhankelijk van het type bedrijf. Voor elk soort apparaat kunnen andere eigenschappen relevant zijn om op te nemen in het CMDB. Bij een server misschien hoeveel memory of harde schijven deze heeft. Maar bij een monitor misschien de resolutie of ondersteunde inputs (vga, hdmi enzovoorts). @@ -288,13 +283,14 @@ Het Expert Team Networking gebruikt Asset Management voor het opslaan van alle n \item UPS \end{enumerate} -Onderling zijn er relatief weinig verschillen in deze templates behalve de naam. +Onderling zijn er relatief weinig verschillen in deze templates behalve de naam, dit is te zien in tabel \ref{tbl:template_verschil}. \newcommand{\gray}{\cellcolor{lightgray}} \begin{table}[h] \centering \caption{Templates met dezelfde eigenschappen (aangegeven met een '+')} + \label{tbl:template_verschil} \begin{tabular}{r | r | r | r | r | r | r | r | r | r | r | r |} & \rotatebox[origin=l]{90}{Switch 8 Poorten}& @@ -337,13 +333,67 @@ Onderling zijn er relatief weinig verschillen in deze templates behalve de naam. \subsection{Analyse tijdsbesteding} +Om inzicht te krijgen in de huidige verdeling van tijd per werkzaamheden is een analyse gemaakt van afgeronde tickets en changes door het Expert Team Networking in de periode 2020 tot 2022. Alle grafieken presenteren genormaliseerde waardes (percentages) in plaats van daadwerkelijke tijdseenheden. + +Incidenten en Changes in TOPDesk kennen een hoofd- en subcategorie. Deze categorieën kunnen zelf worden aangemaakt door de beheerder aan de hand van de context waarin het systeem wordt gebruikt. Vervolgens kan per incident en/of wijziging een categorie worden geselecteerd. De analyses zijn gemaakt op basis van de ingevulde categorie en gespendeerde tijd per incident en wijziging. Houd rekening met het discussiepunt omtrent het gebruik van de TOPdesk categorieën toegelicht in hoofdstuk \ref{discussie_topdesk_categorie}. + +Binnen KEMBIT zijn de categorieën aangemaakt zoals te zien in de volgende tabel: + +\begin{tabular}{p{0.2\linewidth} p{0.6\linewidth}} + \toprule + \textbf{Categorie} & \textbf{Omschrijving}\\ + \midrule + + Internet& + Het ticket of wijziging heeft betrekking tot internet biedende functionaliteiten.\\ + + Router / Modem& + Het incident of wijziging heeft betrekking tot router(s) en/of modem(s).\\ + + Firewall& + Het incident of wijziging heeft betrekking tot firewall(s).\\ + + Wifi& + Het incident of wijziging heeft betrekking tot de werking of apparatuur gerelateerd aan het WiFi.\\ + + Switch& + Het incident of wijziging heeft betrekking tot het apparaat type switch.\\ + + VPN& + Het incident of wijziging heeft betrekking tot bepaalde netwerktunnels.\\ + + Bekabeling& + Het incident of wijziging heeft betrekking tot netwerkbekabeling.\\ + + SAN / NAS& + Het incident of wijziging heeft betrekking tot opslagapparatuur op een netwerk.\\ + + Appliance& + Het incident of wijziging heeft betrekking tot een appliance (meestal een virtuele machine)\\ + + UPS& + Het incident of wijziging heeft betrekking tot Uninteruptable Power Supply. Een apparaat welke andere netwerkapparatuur voorziet van energie in het geval van een stroomstoring.\\ + + Overig& + Alle overige incident(en) en/of wijziging(en).\\ + + \bottomrule + +\end{tabular} + +In de context van dit project is het met name relevant om het type changes/incidenten te analyseren waar potentieel automatisering bij kan worden toegepast om een beeld te krijgen van de hoeveelheid tijd die kan worden bespaard. Automatisering is met name interessant om toe te passen bij werkzaamheden wanneer een groter aantal apparaten moet worden geconfigureerd of bepaalde informatie van moet worden verkregen. + +In afbeelding \ref{fig:changes_tijd_categorie} is de totale verdeling van gespendeerde tijd te zien per categorie. Uit deze grafiek blijkt dat de meeste tijd wordt besteed aan de 'overige' en 'internet' categorieën. + \begin{figure}[h] \centering \includegraphics[scale=0.6]{changes_tijd_categorie.pdf} - \caption{Totaal bestede tijd per categorie (percentage)} + \caption{Totaal bestede tijd aan changes per categorie (percentage)} \label{fig:changes_tijd_categorie} \end{figure} +In figuur \ref{fig:changes_aantal_categorie} is het aantal changes per categorie te zien. Hieruit is af te leiden dat changes met betrekking tot 'Router / Modem' het meest voorkomen maar gemiddeld minder tijd in beslag nemen dan changes die behoren tot de 'Overig' en 'Internet' categorieën. + \begin{figure}[h] \centering @@ -355,18 +405,10 @@ Onderling zijn er relatief weinig verschillen in deze templates behalve de naam. \begin{figure}[h] \centering \includegraphics[scale=0.6]{changes_tijd_gemiddeld_categorie.pdf} - \caption{Gemiddelde bestede tijd per categorie (genormaliseerd)} + \caption{Gemiddelde bestede tijd aan changes per categorie (genormaliseerd)} \label{fig:changes_tijd_gemiddeld_categorie} \end{figure} - -\begin{figure}[h] - \centering - \includegraphics[scale=0.8]{changes_tijd_categorie_tijd.pdf} - \caption{Gespendeerde tijd per categorie over de periode 2020 t/m 2022 (genormaliseerd)} - \label{fig:changes_tijd_categorie_tijd} -\end{figure} - \begin{figure}[h] \centering \includegraphics[scale=0.6]{incidenten_tijd_categorie.pdf} @@ -377,29 +419,132 @@ Onderling zijn er relatief weinig verschillen in deze templates behalve de naam. \subsection{Processen en werkwijze} -\textbf{TODO} -\begin{enumerate} - \item Intro van werkzaamheden - \item Kort overzicht van processen -\end{enumerate} - -\begin{itemize} - \item Facturatieproces - \item Onderhoudsproces - \item Securityproces - \item Monitoringsproces - \item Backupproces - \item Beheerproces -\end{itemize} +Dit hoofdstuk documenteert de processen binnen het Expert Team Networking. -\section{Implementeren van netwerk automatisering} +\subsubsection*{Back-upproces} + +Binnen het back-upproces valt back-ups maken van gegevens die op netwerkcomponenten staan. Dit betreft voornamelijk de configuratie van het apparaat. Op deze manier kan, wanneer het apparaat uitvalt, snel een vervangend apparaat worden geconfigureerd op basis van de back-up. + +Daarnaast is van de back-ups ook af te leiden wat veranderd is sinds de vorige back-up. + +Voor dit proces wordt momenteel de tool Kiwi CatTools \cite{cattools} gebruikt. Deze tool wordt uitgevoerd vanaf de beheerserver op een vast tijdschema. + + +\subsubsection*{Beheerproces} + +Het beheerproces bestaat uit diverse taken om de netwerkdiensten mogelijk te kunnen maken. Zoals het afhandelen van incidenten, defecte apparatuur vervangen of opsturen voor reparaties. + + +\subsubsection*{Facturatieproces} + +Klanten die netwerkdiensten afnemen bij KEMBIT betalen maandelijks op basis van de hoeveelheid en type apparaten die het Expert Team Networking in beheer heeft voor deze klant. + +Op basis van TOPdesk Asset Management wordt een rapportage gegenereerd. Deze rapportage bevat alle apparatuur inclusief type en tot welke klant deze behoort en wordt door de financiële afdeling binnen KEMBIT gebruikt om een factuur te maken. + + +\subsubsection*{Monitoringsproces} + +Het Expert Team Networking verricht monitoring op de werking en operationele status van alle netwerkapparatuur. Op deze manier kunnen storingen worden gedetecteerd direct wanneer deze voorkomen. + +Het Expert Team Networking maakt gebruik van de monitoringsoftware PRTG \cite{prtg} om inzicht te krijgen in de operationele status van netwerken. + + +\subsubsection*{Onderhoudsproces} + +Het Expert Team Networking zorgt ervoor dat alle apparaten voorzien zijn van software-updates. Dit is van belang omdat oudere softwareversies kwetsbaarheden kunnen bevatten die mogelijk het netwerk minder veilig kunnen maken. + +Het uitvoeren van dit proces begint bij het selecteren van welke apparaten worden meegenomen en naar welke softwareversie deze apparaten geupgraded worden. Met het selecteren van een nieuwe softwareversie moet ook rekening gehouden worden met eventuele bekende bugs in deze nieuwe softwareversie. Indien een nieuwere softwareversie wordt gevonden met reeds bekende bugs die geen of weinig invloed hebben op de manier waarop de apparatuur gebruikt wordt kan het onderhoud voorbereid worden. + +Het onderhoud voorbereiden betekent het overzetten van de nieuwe software naar de apparatuur. Vervolgens kan het onderhoud uitgevoerd worden in het geplande onderhoudsvenster door de apparatuur te rebooten en de nieuwe softwareversie actief te maken. + + +\subsubsection*{Securityproces} + +Kwetsbaarheden in netwerkinfrastructuur kunnen een mogelijke aanvaller toegang geven tot gevoelige systemen en/of informatie. Binnen het securityproces valt het monitoren en reageren op securityincidenten. Dit wordt onder andere gedaan door security adviezen van het nationaal cyber security centrum te evalueren en indien nodig hier actie op te ondernemen. + +Naast het opvolgen van security adviezen wordt gedurende de designfase van netwerkinfrastructuur ook rekening gehouden met networksecurity gerelateerde principes om het design zo veilig mogelijk te maken. Dit kan bijvoorbeeld worden gedaan door het toepassen van netwerksegmentering, toegangscontrole en firewalling \cite{cisco_netwerk_security}. + + +\section{Visie en wensen} + +KEMBIT en het Expert Team Networking willen in de toekomst meer werkzaamheden uitvoeren met automatiseringstools, dit blijkt uit de survey afgenomen van het Expert Team Networking en het interview met opdrachtgever Patrick Kuepers. + +In afbeelding \ref{fig:survey_pie_meer_automatisering_mening} is te zien dat het Expert Team Networking gelooft dat automatisering een positief effect heeft op de kwaliteit en tijdigheid van hun dagelijkse werkzaamheden. Daarnaast blijkt uit het antwoord dat medewerkers graag meer gebruik willen maken van automatiseringstools. Als reden wordt voornamelijk voor tijdsbesparing gekozen (afbeedling \ref{fig:suvey_survey_waarom_automatiseren}). + +\begin{figure}[h!] + \centering + \includegraphics[scale=0.7]{survey_pie_meer_automatisering_mening.pdf} + \caption{Antwoord op de vraag over het meer gebruikmaken van automatisering in de dagelijkse werkzaamheden.} + \label{fig:survey_pie_meer_automatisering_mening} +\end{figure} + +\begin{figure}[h!] + \centering + \includegraphics[scale=0.7]{suvey_survey_waarom_automatiseren.pdf} + \caption{Waarom medewerkers meer gebruik willen maken van automatiseringstools} + \label{fig:suvey_survey_waarom_automatiseren} +\end{figure} + +Wanneer gevraagd wordt waar de hoogste behoefte ligt aan automatisering wordt het meest gekozen voor beheer gerelateerde werkzaamheden. Dit is te zien in de grafiek in afbeelding \ref{fig:suvey_mening_toepassingsgebied_automatisering}. + +\begin{figure}[h!] + \centering + \includegraphics[scale=0.7]{suvey_mening_toepassingsgebied_automatisering.pdf} + \caption{Surveyvraag waar automatisering het meest waardevol is.} + \label{fig:suvey_mening_toepassingsgebied_automatisering} +\end{figure} + +In de surveyvraag in afbeelding \ref{fig:survey_leren_automatiseren} is gevraagd of werknemeners van het Expert Team Networking het gemakkelijk vinden om te leren over hoe ze automatiseringen toe kunnen passen. Hier geeft ruim de helft van de werknemers aan dat dit niet gemakkelijk is. + +\begin{figure}[h!] + \centering + \includegraphics[scale=0.7]{survey_leren_automatiseren.pdf} + \caption{Is het gemakkelijk om te leren over automatiseren?} + \label{fig:survey_leren_automatiseren} +\end{figure} -\section{Roadmap} +\subsection{Korte termijn} + +Uit de survey en het interview blijkt dat medewerkers veel behoefte hebben aan het gebruikmaken van automatiseringstools met name voor werkzaamheden gerelateerd tot onderhoud. Met name een tool waarmee ad hoc commando's uitgevoerd kunnen worden op meerdere apparaten tegelijkertijd. +\subsection{Lange termijn} + +Naast de wens om meer gebruik te maken van automatiseringstools in de dagelijkse werkzaamheden is er ook een visie om een selfservice oplossing te bieden aan klanten, namelijk een dashboard waarin klanten zelf interactief wijzigingen kunnen aanbrengen aan de werking van de netwerkinfrastructuur die wordt beheerd door het Expert Team Networking. + +Naast het aanbieden van een self service portal is er een wens om CI/CD toe te passen. 'CI' staat voor continuous integration in betekent het geautomatiseerd uitvoeren van tests. In de context van netwerkbeheer kan dat betekenen om configuraties te controleren op bijvoorbeeld security of correctheid voordat deze worden toegepast. + +'CD' staat voor continuous delivery en betekent het geautomatiseerd opzetten van een testomgeving gebaseerd op de huidige configuraties. Vervolgens bestaat ook nog continuous deployment, dit is het geautomatiseerd upgraden van een productieomgeving. + +Met het toepassen van CI/CD wilt het Expert Team Networking een nieuwe manier van netwerkbeheer toepassen die meer gecentreerd is rond automatisering. +\section{Analyse} + +In dit hoofdstuk wordt een analyse toegepast op de resultaten om vast te stellen wat de situatie is van het Expert Team Networking en waar de grootste kansen en problemen liggen bij het toepassen van netwerkautomatisering in de praktijk. Het is duidelijk dat het Expert Team Networking hoge verwachtingen heeft van het toepassen van automatiseringstools in de dagelijkse werkzaamheden, dit is gebleken uit de survey (afbeelding \ref{fig:survey_pie_meer_automatisering_mening}). De voornaamste redenen hiervoor zijn (1) het besparen van tijd, (2) gemak, (3) voorkomen van fouten die worden gemaakt bij repetitieve taken en (4) het bieden van een selfservice portal voor klanten. + +\begin{figure}[h!] + \centering + \includegraphics[scale=0.7]{root_cause.pdf} + \caption{Root Cause analyse} + \label{fig:root_cause} +\end{figure} + + +\subsection{Lastig om te leren} + +Zoals vastgesteld in afbeelding \ref{fig:survey_leren_automatiseren} vinden de meeste werknemers van het Expert Team Networking het lastig om te leren over het toepassen van netwerkautomatisering in hun dagelijkse werkzaamheden. + + +\subsection{Niet mogelijk in de huidige beheeromgeving} + +Het is niet mogelijk om gebruik te maken van Ansible in de huidige beheeromgeving. Dit komt doordat Ansible alleen geïnstalleerd kan worden op unix-achtige besturingssystemen \cite{ansible_install_requirements} en een op Windows-gebaseerde beheerserver wordt gebruikt. + + +\subsection{Geen integratie met gebruikte applicaties} + +Ansible heeft geen bestaande modules en/of plugins om gebruik te kunnen maken van TOPdesk en TOPdesk Asset Management. Dit maakt het minder makkelijk om Ansible te gebruiken, zeker in de dagelijkse werzaamheden. diff --git a/chapters/5 - conclusie.tex b/chapters/5 - conclusie.tex index c6cd123..1a2c507 100644 --- a/chapters/5 - conclusie.tex +++ b/chapters/5 - conclusie.tex @@ -1,11 +1,117 @@ \chapter{Conclusie} -Ten eerste kunnen de volgende primaire knelpunten worden gedefinieerd voor het implementeren van netwerkautomatisering in de praktijk: -\begin{enumerate} - \item Reeds gerealiseerde en op Powershell gebaseerde automatiseringen die niet volledig overdragen naar het implementeren van Ansible in de praktijk. Dit maakt investeringen in het realiseren van Ansible op de kortere termijn minder waardevol omdat deze functionaliteiten al mogelijk waren met de oude tools. Hiernaast zijn deze investeringen hoger omdat het nu in een nog relatief onbekende manier moet worden geimplementeerd. - \item De reeds bestaande kennis over PowerShell in het netwerking team is niet of minder relevant bij het in gebruik nemen van Ansible. Dit presenteerd weer op de kortere termijn een extra drempel voor het in gebruik nemen van Ansible omdat het nu meer tijd kost om even effectief te zijn met de bestaande powershell tools en/of kennis. - \item \label{knelpunt:am_useability} Een relatief complexe API van Asset Management (voornamelijk veroorzaakt door de meta-modeleer functionaliteit). Dit verhoogd de vereiste tijdsinvestering en minimale complexiteit om tools te maken die integreren met deze API - \item Geen bestaande integraties met Asset Management. Terwijl het gebruik maken van deze API (direct of indirect) een vereiste is voor het toepassen van Ansible in productie netwerken voor het genereren van een ansible inventory. Dit in combinatie met punt \ref{knelpunt:am_useability} veroorzaakt dat het niet mogelijk is om Ansible te gebruiken en het een hoge upfront investering vereist om op te lossen. - \item Asset Management lijkt nog niet volledig optimaal te worden ingezet aan de hand van de templates die grotendeels hetzelfde zijn. Hierdoor is er een grote kans dat de inventory plugin voor Ansible op korte termijn moet worden aangepast om eventuele herstructureringen in Asset Management te reflecteren. -\end{enumerate} \ No newline at end of file + +\section{Bevindingen} + +In dit hoofdstuk worden een aantal bevindingen beschreven die zijn getrokken uit het onderzoek. De bevindingen hebben te maken met het (succesvol) toepassen van netwerkautomatisering in de dagelijkse werkzaamheden van het Expert Team Network en probeert inzicht te geven in de huidige situatie. + + +\subsection{Suboptimale inrichting van TOPdesk Asset Management} + +Asset Management lijkt nog niet volledig optimaal te worden ingezet aan de hand van de templates die grotendeels hetzelfde zijn. Hierdoor is er een grote kans dat eventuele tooling die gebruik maakt van de Asset Management API moet worden aangepast wanneer de configuratie van de templates van Asset Management veranderd worden. + + +\subsection{Geen bestaande integraties met TOPdesk (Asset Management)} + +TOPdesk en TOPdesk Asset Management is een belangrijk onderdeel van de manier waarop het Expert Team Networking te werk gaat. Het ontbreken van bestaande integraties met Ansible maakt het minder gemakkelijk om Ansible in de dagelijkse werkzaamheden toe te passen. + +Met name het ontbreken van een manier waarop een Ansible inventory kan worden gemaakt op basis van TOPdesk Asset Management zorgt ervoor dat Ansible niet gemakkelijk gebruikt kan worden in de dagelijkse werkzaamheden. + + +\subsection{Gebruikersvriendelijkheid TOPdesk Asset Management}\label{knelpunt:am_useability} + +Een relatief complexe API van Asset Management (voornamelijk veroorzaakt door de meta-modeleer functionaliteit). Dit verhoogd de vereiste tijdsinvestering en minimale complexiteit om tools te maken die integreren met deze API. + + +\subsection{Bestaande tooling en kennis omtrent PowerShell} + +De reeds bestaande kennis over PowerShell in het netwerking team is niet of minder relevant bij het in gebruik nemen van Ansible. Dit presenteert een drempel voor het in gebruik nemen van Ansible omdat het meer tijd kost om even effectief te zijn met de bestaande PowerShell tools en/of kennis. + +Reeds gerealiseerde en op Powershell gebaseerde automatiseringen die niet volledig overdragen naar het implementeren van Ansible in de praktijk. Dit maakt investeringen in het realiseren van Ansible op de kortere termijn minder waardevol omdat deze functionaliteiten al mogelijk waren met de oude tools. Hiernaast zijn deze investeringen hoger omdat het nu in een nog relatief onbekende manier moet worden geimplementeerd. + + +\section{Wensen en eisen} + +Dit hoofdstuk documenteert de wensen en eisen die volgen uit het onderzoek en worden direct of indirect gesteld door de opdrachtgever aan het implementeren van automatisering. Die eisen zijn opgedeeld in functionele- (tabel \ref{tbl:requirements_functioneel}) en niet functionele eisen (tabel \ref{tbl:requirements_nietfunctioneel}). + + +\newcounter{magicrownumbers} +\newcommand\rownumber{\stepcounter{magicrownumbers}\arabic{magicrownumbers}} + +\begin{table}[ht] + + \caption{Functionele eisen} + \label{tbl:requirements_functioneel} + + \centering + \begin{tabular}{l p{0.2\linewidth} p{0.5\linewidth} l } + \toprule + & \textbf{Naam}& \textbf{Omschrijving}& \textbf{Prioriteit}\\ + \midrule + + \rownumber& + Asset Management koppeling& + De automatiseringstool moet de apparaten kunnen verkrijgen uit het TOPdesk Asset Management systeem.& + Must\\ + + \rownumber& + Toepassing beheer& + De automatiseringstool kan worden gebruikt in beheerwerkzaamheden.& + Must\\ + + \rownumber& + TOPdesk incidenten koppeling& + Het is mogelijk om via TOPdesk incidenten aan te maken en/of te wijzingen.& + Could\\ + + \rownumber& + TOPdesk changes koppeling& + Het is mogelijk om via TOPdesk changes aan te maken en/of te wijzigen.& + Could\\ + + \bottomrule + + \end{tabular} + +\end{table} + +\begin{table}[ht] + \caption{Niet-functionele eisen} + \label{tbl:requirements_nietfunctioneel} + \centering + \begin{tabular}{l l p{0.5\linewidth} l } + \toprule + & \textbf{Naam}& \textbf{Omschrijving}& \textbf{Prioriteit}\\ + \midrule + + \rownumber& + Compatability& + De automatiseringstool kan worden ingezet in de huidige beheeromgeving en kan werken met de apparatuur die wordt beheerd door het Expert Team Networking.& + Must\\ + + \rownumber& + Extensibility& + De automatiseringstools kunnen worden uitgebreid met additionele functionaliteit.& + Must\\ + + \rownumber& + Usability& + De automatiseringstools kunnen met minimale training en/of kennis gebruikt worden zodanig dat de doelstelling bereikt kan worden zoals gesteld door de eindgebruiker.& + Must\\ + + \rownumber& + Scalability& + Het automatiseringssysteem kan worden ingezet op een grote hoeveelheid netwerkapparaten& + Should\\ + + + \rownumber& + Maintainability& + De automatiseringstools kunnen worden onderhouden door het Networking Team.& + Could\\ + + \bottomrule + + \end{tabular} +\end{table} diff --git a/chapters/6 - discussie.tex b/chapters/6 - discussie.tex new file mode 100644 index 0000000..dbbc6ae --- /dev/null +++ b/chapters/6 - discussie.tex @@ -0,0 +1,6 @@ +\chapter{Discussie}\label{chap_discussie} + + +\section{Categorieën in de TOPdesk data analyse}\label{discussie_topdesk_categorie} + +De categorie van TOPDesk incidenten en wijzigingen worden door de afdeling 'MSC' ingevuld en niet door het Expert Team Networking zelf. Dit houdt in dat de meeste incidenten worden ingedeeld onder 'internet' of 'wifi' omdat de melder deze twee meestal vernoemd bij een netwerkprobleem terwijl dit niet de oorzaak hoeft te zijn. Het Expert Team Networking maakt over het algemeen geen wijzigingen aan deze categorie. Hierdoor kan een tijdsanalyse uitsluitend gebaseerd op tijd geen volledig correcte representatie zijn van de daadwerkelijke tijdsverdeling van het Expert Team Networking. \ No newline at end of file diff --git a/data-analyse/survey.ipynb b/data-analyse/survey.ipynb index f1a6426..b20de4f 100644 --- a/data-analyse/survey.ipynb +++ b/data-analyse/survey.ipynb @@ -1,21 +1,57 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd" - ] - }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "data = pd.read_csv(\"survey.csv\")" + "import pandas as pd\n", + "\n", + "from textwrap import fill\n", + "\n", + "FIGURES_DIRECTORY = '../figures'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Unnamed: 0', 'ID', 'Start time', 'Completion time',\n", + " 'Wat is jouw functie?', 'Hoelang ben je werkzaam bij KEMBIT?',\n", + " 'Beheerwerkzaamheden', 'Troubleshooting\\n', 'Design',\n", + " 'Automatisering\\n', 'Beheerwerkzaamheden2', 'Troubleshooting',\n", + " 'Design2',\n", + " 'Hoeveel ervaring heb je met programmeren (naar inschatting)',\n", + " 'Met welke programmeertalen heb je ervaring?',\n", + " 'Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?',\n", + " 'Welke automatiseringstools gebruik je momenteel?',\n", + " 'Voor welk type werkzaamheden gebruik je deze tool(s)?',\n", + " 'Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?',\n", + " 'Waarom niet?', 'Waarom wel?',\n", + " 'Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?',\n", + " 'Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?',\n", + " 'Topdesk (voor incidenten, changes en project management)',\n", + " 'Topdesk Asset Management', 'PRTG', 'SuperPuTTY',\n", + " 'Wat kost jou als medewerker de meeste tijd?',\n", + " 'Waarom kost dit veel tijd?', 'Welk proces kan volgens jou beter?',\n", + " 'Waarom kunnen deze processen beter?',\n", + " 'Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?'],\n", + " dtype='object')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = pd.read_csv(\"survey.csv\", mangle_dupe_cols=True)\n", + "data.columns" ] }, { @@ -27,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -36,7 +72,7 @@ "9" ] }, - "execution_count": 15, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -49,27 +85,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Verdeling functies" + "## Wat is jouw functie?" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 57, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -79,56 +115,25 @@ } ], "source": [ - "data[\"Wat is jouw functie?\"].value_counts().plot(kind='pie')" + "q = \"Wat is jouw functie?\"\n", + "\n", + "(\n", + " data[q]\n", + " .value_counts(dropna=True)\n", + " .plot(kind='pie', ylabel=False, autopct='%1.1f%%')\n", + ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Hoelang in dienst" + "## Hoelang ben je werkzaam bij KEMBIT?" ] }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "order = [\n", - " \"Minder dan 2 jaar\\n\",\n", - " \"2 t/m 4 jaar\\n\",\n", - " \"5 t/m 8 jaar\\n\",\n", - " \"9+ jaar\\n\"\n", - "]\n", - "\n", - "data[\"Hoelang ben je werkzaam bij KEMBIT?\"].value_counts().loc[order].plot(kind='pie')" - ] - }, - { - "cell_type": "code", - "execution_count": 92, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -137,7 +142,65 @@ "" ] }, - "execution_count": 92, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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1EJC3X1s+4E7g562pLSoVeFREQsA/2Ht3uAC3iMh8nPnKBwH9ou99paqz29BGQ4Xt3M/zrkp5dngWu3a4XYfZ4/S8wtKJbhfhthaDSkRScULqKVV9rpXH3X98quFl1kiDnyMcOE7WHacH9raIVADjgJcaG1Bv4BpgHXAkzjw/u69Dn4sz2D1aVUdFt9l9083OVn6WfRUF8oHT27VvF+AX7Xtv6r2ftbyl6URXu12A21q66ifAdKBMVe9sZtMdOAGze58jgM/bU5CqblPV3qqap6p5OIsinL7/GNV+AsCa6ID4+Thd5t2vr1fVOhE5EYjF9K+/pLHboRPIib7Px31DVrftdNjE0xl5haUD3C7CTS31qCbi/MX/loh8Hv1qbGL6vwLXishc4BhgrnbOnaS723gAKBCReThPou/uLT0FjImeEl4AdGxQsigwGKeXltBESP9zWvE6t+swe6QAF7tdhJtifme6iFwPLFHVv8b0wAe2Mxq4U1Unx7OdfRQF7sQ5zUwK02qv+uyVyLFHu12HAWAVkFdRPKXe7ULcEPM701X1pk4IqTHATODueLazj6JADzyyUENnuSv1ge62yrJnDAK+73YRbumSj9Co6hxVHd6Gwf1YOA/nJrykkSF1w36V8rTdruAdl7pdgFu6ZFC55H/cLsANF/pnBXPZscXtOgwA38orLB3hdhFusKBqjaLAkTg3uyYdn9DjkbQ7Q27XYfa4xO0C3GBB1ToFbhfgprGyaMJhUrHU7ToMAAV5haWZbhfR2SyoWuJMjPcjt8twkwgpT6bdutXtOgzg3BuY8LfI7M+CqmWTgaS+2Q6gr2wbfbb/rU/crsMAFlSmET92uwCvuCnl8X6peGvSpiQ1Pq+wNKvlzRKHBVXLvud2AV6RJuGhN6U87snFIJJMGk5PP2lYUDWnKDASsFkWGzjb//bRfdliqyy7z3MrUsSTBVXzml41IEmJ0P3xtNuSfiI3D0iq300LquYl1S9Dax0uFRPHSnmZ23UkuZHJNKd6S3OmJ6+iQBowKZaH/HpbhAte2MW6SkUELj46lavGpXPta9X888t60vxwSE8fT3y/G7kZ0qp9Aa57vZp/LalnVH8/f57qLM/3l/m1bKxSro5uE0si+B5Lu73uyJrHYn5s0yYnAX9xu4jOYD2qpo1n7xzsMZHigztOyWDhZdnMvjCL+/9Tx8INYU4+JIUvLs1i/iXZDO/p4w/vHbicW1P7bqtWPlsbZv4l2aT5IbQuzK465YnP67hsbFojVcRGQKqO+F9/afNrVZl4S5pxKguqpsX8l2BAdx9HD3Dm9OueLuT38bFqu3LKISmk+Jwe1LjBflbuOHBBnKb29QnUhZ3lo6rqlFQ/3P5hLVcck0aqP77z+xWmzMzrRk1VXBsxzbGgMvG9/FuxNcLcNWGOHezf5/XHP6/j1G82f0becN/u6cJpw1I46uGdDMj2EUgXPl4V5owRqfEsH4AUiQy8PfUhuwnUPYPyCks9sbRzvNkYVdPitr5dZa1y1t+ruOs7GeSk7+313PxuDSk+ODfYdMg0tu8vJ6bzy4nOWNT/vrSL352YzmOf1fLa0nqO6Ofn+kmxH6fa7TTfx8cOlg2rV2qfgXFrxDTnZCDhL2xYj6oxRYEhQG48Dl0XdoLm3GAqZ+bvDaQnP6/l5cX1PHVmN6SJZfWa2ne3uWvCqMKhvXz8Y2Edf/9hJku3RFi8KX5z34nQrSS12OZXd88xbhfQGSyoGjcyHgdVVS58qZr83n5+Nn5vL+eVJfX88YNaXvpRNzJTGw+ppvZt6Ia3avj9t9Kpi0A4OszlA6rqYv1J9nWIb834E3yfz49vK6YJ33C7gM5gQdW4uJz2ffB1mBnz6/j38npGPVTJqIcqmbW4jstn7WJHrXLyjCpGPVTJtJd3AbB6R4TTnqpqdt/dXiivY8xAHwO7+8jNEEb19xN8sJLqsHJkf3+j9cTS/al3pwqRA68CmHhLiqCK+eIOCaEoMANn6mHTBnfXT33vT/U/PN7tOpJQVkXxlIS++mo9qsbFbSA9kV3uf2FENlWtWUnbxFbC96osqPZXFPDjrA1o2sgv2uf+1Hvmul1HEjrY7QLizYLqQP2A+F3PT3CTfPPHD5OVFW7XkWSsR5WE+rpdQFcmQlpJ2q02DUznsqBKQhZUHTRQNo39ru+jT92uI4lYUCUhC6oYuD31oVw/4aRcftwFNkaVhPq5XUAiyJC6Q65P+YvNrtA5LKiSkPWoYqTA/+oRPdi+2e06kkBmXmFpT7eLiCcLqgNZUMWIT8h9LO2OL9yuI0lkuF1APFlQHaiH2wUkkqNl8cQjZOlit+tIAvGf18dFFlQHiu9sc0lGBP8TaX+sdLuOJBC/6Vw9wILKxF0v2XHUOf43Pna7jgRnPSpjOurGlJIBadQdOBm8iZWE7lHZDJ8mruqhvjQ7a+6juTl1k5bcsOLqF8N5oprpdl2JZmdqN6F4ittlxI0FlYmLT9PTy+7rEdjwaUZ6voqMBfgqH36T41v0uxlhn1+xqYtjqHvdrvhN4+oBFlQmZlal+Fffnxv48tWsrCG1PskHDlh4YPEgOfTSy/zr//RIeEFmLYe7UGaiSuinACyoDmQzCbZBpciOGYHu857O6Z691ec7EpEWe0pbukvfi67y59w2PfzhwM1M6Iw6k4D1qJLMDrcL8Lp6qJ+VnTn30UCgriI15ShEjmvrMepSJOPqn6ZMuPr58NsTyvWEOJSZbLa5XUA8WVAdaL3bBXjVZ+lpZff1yN0wp8G4U0fdNdV/wpefRD4seDNytCT43dVxFAESemodC6oDrXO7AC9ZleJf/UBu4MtXmhl36qhZx/gmfNWPBTfMjPTxqT3C1A6b88vL7NQvySR9j2r3uNPMnO5ZW1o57tRRC4b6Dr9imqy+47Hwoow6Do13ewkm4f9xtaA6UFIGVRjC/8rKnPtIbqB2eTvHnTpqQ64MvOhK/847Hw1/3Gc7x3Z2+11Ywv/OWlAdKOH/dWro8/S08vt65K77T0Z6fkRkjNv11KRJ1uWX+scW/j3y9lHLbJC9lSyoklDC/09fneJf82BuYNG/sjIH1/h8I/DYqjsq4vvDf/tPOOv9yPtnvxc5RhL88ZAYSPh/XC2oDrQO556U+C8v3Il2ilRG73fKjI47DXC7ppY8e5zvuGX9mXfdPyKDfdDL7Xo8bLXbBcSbrZTcmKJAGR7rZbRHGMKvOONONcuccacu+YzdgE264rbp4bq0MIe4XYtHfS+/vOxlt4uIJ+tRNS5EFw6qeelpi+7rkbv2E4+MO3XUml5y0MVX+rff+Wh4Ts9KuvzniYOQ2wXEm/WoGlMUuAH4ndtltMUav3/Ngz0Ci2ZlZQ6q8fmGuV1PPPgiGr7h6fD7h3/N5I4e69dr1vDOzkp6+v28dLCz2tQrO7Zz/8aNLKut5W9DhzIyo1ur9wW4Y8N63qvcyYiMdIoHOHd0vLRtG1vDYS7oGbcpzbfnl5cF4nVwr7D5qBrXJeb53ilS+Ugg5/3JBw2ae8qQgf2e7559QqKGFEDEJ/4bz0uZ/OI4eVc7+BDu1ECARwYP2ee1YWnp3DNoEGO6NR5Qze27IxxmYXU1Lxx8MKkifFlTTXUkwvPbt/HjHnGd3bpL/K52lJ36Nc6zXekwhF+Njjstdel+J7c9daJ/0tL+kc+ueSFyiEC7ehNjMjNZVVe7z2uHpKe3e1+fQL0qqkp1RElBeGLzZs7N7UGqxHV2a8/+rsaSBVXjlgFVgGcGn+enpy26t0dg7ScZGSMSYdypo2bn+47+RS9ZfusT4a0pEYa6XU+Wz8+krGzO/KqCcZmZdPf7mV+9i0t694530xZUSatoW4SiwAIgJg/ettdav3/tgz0C5aXOuNOhYI+WNPR1Xzn44iv8W+56JDw3ZxdHuV3Phb16cWEv5y6KG9au4YrefXhm61Y+qNrJoenpTOsVl9CaH4+Deo2NUTXtfTcarRLZ+Wgg54MTDhr02clDBvZ9LsHHnTqqMlN6/PQK/8glA3jP7Vp2W1hdjQJ5aWm8umMHfxo4iBW1dVTU1ra4bxvVAHNifVAvsqBq2hud1VAYIv/Kyvz0jEH9Pzh26GDu6Zk7cZPffzQi9v+nFcJ+Sf2/n6Qc/+pR8o46U5646t6NG7iyd2/qVQlH52H0CVRHYl7ah/nlZbtifVAvslO/pr0D1BLHxzdCaWlf3tsjsObjbhkjIiKj49VOspj+Hf/kJYMi/7n05cgIge7NbfuL1av4pKqKreEwJy5dwuW9ehPw+7l5/To2h8NcsnIlI9IzeHTIENbX13HD2rU8HL3S19i+Z+XmAvDGjh0cnpFB3xRn9aoR6Rl8f/lyhqenMyIj5tNtvR7rA3qV3UfVnKLAO8CkWB5ynd+/7sHcQHlpduaAap9veCyPbRyHrNHFN/053M0fYbDbtcTZMfnlZf9xu4jOYKcWzYvJv1hVIjunB3I+OHHIoE9PGjKw97M52ZMtpOJn6QAZNu0yf/rO9IS+IrYZ+LSpN0XkKhH5QkQWiMjV7WlARAaKyDPtLTCWrEfVnKLAscDs9uwagchrWZlzH87NqV6SmjoKkawYV2dakFKvNbc+EZ4zZCMT3a4lDp7JLy/7YWNviMhI4K/AMTjDF68A01R1yX7bVahqXrwLFRHByZp2D9JZj6p5c4Ctbdnhi7S0xdP69Xn7qLwh667t23v0krS0iRZS7qhPkfSfX5Qy8d3D5W1NvNWFmrvYkw98rKpVqlqPM956ZlsbEJE8Efmiwffvichn0a8J0dezReTN6GshEfl+g+0Xicifce6eH9J0S62oxXpULSgKzAR+1Nwm6/z+dQ/l5pS/nJ3Vv9q538l4zCmfRmZf+FrkCPHQTbwdoEBefnnZisbeFJF84EVgPLALeBOYo6pX7Lddsz0qEckDXlbVkeLMvBFR1WoRGQbMVNUxIpICZKrqdhHpjXMGMgwYinPj9ARVbddZSUN21a9lf6WRoNolUjUzJ3vujJyc9I1+31GIdPhBWRM/r432jVvRV8p++1S4h1/p73Y9HfRhUyEFoKplInIr8BqwE/ic6Lp/IvJrYPcp40AR+Tz6/QeqelkzbaYC94nIqOixdo+xCnCLiEzCuTVkENAv+t5XsQgpsKBqjX/hnP7lRiDyRma3zx/qEaha7Iw7JeLYR8IqHyL5l1/qX3vnI+GybnWxX02nE81saQNVnQ5MBxCRW4CV0ddvBm6Ovl6hqqNa2eY1OJNKHokzZFQdff1coA8wWlXrRKSCvcue7WzlsVtkY1QtKdpWOzc9bfol0XGnn/frc/TitLTjEMl2uzTTdptypP9FV/mHrs1t30USDwgD/2hpIxHpG/3zIJzxqac72G4AWBMdED+fvTPgBoD10ZA6EeLz3KUFVStcMLD/i+9ndjsh0gWm7zUtq02VzCun+Y/9ZJi843Yt7fBKfnlZa+b1f1ZEFgL/BC5T1a3tbG/3IPYDQIGIzMOZVHJ3b+kpYIyIhIALgPJ2ttMsG0xvpWBJcBF7z8tNgjh9duSDc9+KjBFo3Rwv7jsrv7zsuc5oSJynJe5UVdfHX61H1XrT3S7AxN5L43wTb/qRb3FEusSS6BtwekhxJ85UQjOBuzujvZZYULVeCR2cVdJ4U+hg38grp/lra1JY7HYtLSjJLy+r64yGVHWOqg5X1U7pvbXEgqqVQgWhdUCp23WY+FifK4Muuso/YGN3PnG7libUAne5XYRbLKja5k9uF2DipzpNsi+7zD9mXp4nB9n/kl9etsrtItxiQdUGoYLQO3TiPFWm86mI7+Yf+yc/M1HeU+iU06xWUOA2t4twkwVV2/3a7QJM/P19kv/4287yLVDY4nYtwIv55WVxuezfVVhQtVGoIPQJznNUJsHNGe4b9bOL/Nvr/Cx3uZRil9t3nQVV+9yAB6a8NfG3qrcMvfgKf8+tWU3P/RRn7+SXl33sUtueYUHVDqGCUAjnYWWTBHZ2k8C0y/1HLhrEuy40f6MLbXqOBVX7/Ra7ryppRHyScsMFKZNKx8o7Gp2JoBM8n19e9lYnteVpFlTtFCoILQGedLsO07lKTvJPvud031yFbXFuqgb4eZzb6DIsqDrmdzi/UCaJfHC4b8wv/59/Y72PJueEioE788vL3B7E9wwLqg4IFYS+Bh5yuw7T+b7qJ4dMu9yftSODeXE4/Brgljgct8uyoOq4m3AmFDNJZnuW9Prplf78ir4xX1X7V/nlZZUxPmaXZkHVQaGC0EbgQrfrMO6o90vaLy9MOe7NI+XtGK3S/Anw5xgcJ6HYfFQxEiwJPgT81O06OiJSG2H5H5aj9YqGlZyxOfSb2o+V01dSXVGNqpLeP51B/zsIf4Z/n32rllWx+onVe37ue0ZfckbnUL+9nhX3riBcFabfmf3IGZ0DwFd3f8XACwaS2iO1Uz9jPJ04L/LJtFmRwwTaO/trNTA6v7xsYSzrSgQWVDESLAlmAXNxVuDoklSVSE0Ef4YfrVeW3bKMAecMIH1QOv5uTjCtmbmGlO4p9Plun332jdREkBRB/ELd1jqW3LCEEXeNYPO/N+PP8pMzOoeKOyv4xq++wfa529lVsYt+U/s1VkaX9s1Vuuj3M8LZfmVQO3a/Or+8zBPzP3mNnfrFSKggtBM4jy58b5WI7OkpadjpVSHsCSlVRWud1/bnS/chfucNrWuwjd/pqWm9Ij5Bw8qm1zbR57Q+Bx4kASwZJIdecrk/rSqNBW3c9XXgnnjUlAisRxVjwZLgb+jCdxNrRFn626XUrq+l57d70v9sZ2WplY+tZMf8HWQMzGDoNUPxpR/4b1zV0ipWTV9F3aY6Bl88mJzROYSrwnz90NfUb6+n/9n9qVlVgy/DR4/je3T2R+tUqfVa/cfHw58N2sSEVmy+GQjml5etbnHLJGVBFWPBkqAfeB8Y53YtHRHeGWbFvSsYcN4AMgY7qx9pRFnzlzV0O7hbs0FTvbqaVY+u4uBfHYwvbW+ghXeGWfHACg664iDWPr2WcFWY3t/pTeY3E2FN0MZd9UL47QllOlka7YfucXZ+eVmLK8skMzv1i7FQQSiMs5xQzNY0c4M/y09WfhaVob1XycUnBI4NsH3O9mb3zRiYgS/DR82qfe+FXf/Sevp8tw/bZm8jc3gmgy8azPoXWrOgStd19xn+E548yTdbnRWLGzPDQqplFlRxEH285hq362ir+u31hHc6j7FFaiNULqgkrX8aNeucwFFVts/dTtqAtAP2rd1Q64xpAbUba6lZU0Nq771X9GrW1lC3uY7s/GwitZE9/YtIbeJPQvGvsb7xN57jXx6RA+63WwA0tzqxibJTvzgKlgT/AfzA7Tpaq/rralY+uhKNKCgEjgnQ53t9WH7LcsLVYVDIGJLBwIKB+Lv5nat3y3fR78x+bPlgCxtLNzoD6j7oe3rfPbciAKy4fwX9zupHev906rfX89U9XxGpitB3al8CYwMufurO03ubrrnz0fC2jDpG4IxLjc0vL1vmdl1dgQVVHAVLghnAq8Akt2sx3pBeqztvmx6e138rv80vL7NprVvJgirOgiXBAPA2MMrdSoyHTAsVhB52u4iuxMao4ixUENoGfAdY6nYtxhOKLaTazoKqE0TXBPwvYK3btRhXPQ38n9tFdEV26teJgiXBI4F3gOQYPTYNvQ38V6ggVOt2IV2R9ag6UaggNA84HefhU5M8ZgNTLaTaz4Kqk4UKQu8CP6Lz5t027noF+HaoILTV7UK6MgsqF4QKQi8CF+GsgGsS19PA6aGCUJXbhXR1FlQuCRWEnsB51MZOBxLTPcB5oYKQV5aF79JsMN1lwZLgicDz2AB7Irk+VBC62e0iEokFlQcES4IjgVnAELdrMR0SAS4JFYQecbuQRGNB5RHBkuBA4GXgKLdrMe1SA5wbKgg963YhicjGqDwiVBBaDRyHLRXfFe0ATrOQih/rUXlQsCT4C6AY8Le0rXHdJziD5ovdLiSRWY/Kg0IFoduBU3GmAjHeFMaZcnqihVT8WY/Kw4IlwTxgOvAtl0sx+1qC04v62O1CkoUFVRcQLAn+BLgD6OlyKQYeBa6JrjpkOokFVRcRLAn2Be4CfuxyKclqA3BhqCD0T7cLSUYWVF1MsCR4GvAgcJDbtSSRl3FCKrFXovAwC6ouKLoq803AldgFkXhaC9wQKgg95nYhyc6CqgsLlgTHAo8BR7hdS4LZDPwRuNceKPYGC6ouLlgSTAEuB34BDHK5nK5uB8444B3RKaSNR1hQJYhgSTANOA+4FhjhcjldTTVwP8585hvdLsYcyIIqwQRLggKcAVwHHOtuNZ5Xh3Of2u+jjzAZj7KgSmDBkuAJOIH1HZdL8ZpanGcqbwwVhGwB0C7AgioJRBeVuA44m+R+fvALnB7UjFBBaJPbxZjWs6BKIsGS4FDgh8BUYDwg7lbUKbYDfwces0deui4LqiQVLAn2B76PM571LSDN1YJiqxL4J/A34JVQQajG5XpMB1lQGYIlwRxgCk5P61Qg292K2mUF8AHwHFAaKgjtcrkeE0MWVDEgIhU49+CEgXpVHdPINmcAX6rqwgavjQMuVNWL2tHmQUAJkIsz7lSoqrP222YgcI+q/qC1xw2WBNOBk4Dv4Vw1PBxIbWt9cVYNfAp8hLNm3kd21S6xWVDFQDSoxqhqk/fgiMiTwMuq+kyD124E5qtqm2eGFJFHgLmq+qCIHAbMUtW8th6nJcGSYLqG9QiUMZIiRwNHAocCObFuqxkVNAgl4HNb3SW5pLhdQDIQkQk4KyRPFpHrgbNUdSnwbeBOEfkJzlhRFjAMuB1nzOh8nLm4T1PV/SfRU/aGRQA4oEchInk44Tgy+v2MaBsAl6vqhyKSDbwI9MDpOV2vqi9Gt38V+BgYHa3hwd3HDpYEB+AE1ojon72ix97/K7vB9w1/32qB9dGvdfv92fD7lXYTprEeVQyIyHJgC054PKyqB6xCsn+PSkR6A/9Q1ROjQXU9zsIOGTgTs12nqg+JyJ+Ar1T1rv2ONwB4DSdgsoCTVPXT/bbJY29QZQIRVa0WkWHATFUdIyIpQKaqbo/WNBsnLIcCy4AJqjq74/+V9tw9nwWorRxs2sJ6VLFxnKquEpG+wOsiUq6q77awzyk4QbPbW6q6A9ghIttwrloBhGj8oeMfA0+q6h0iMh6YISIjVTXSRHupwH0iMgpnLG149HUBbhGRSTjLPQ0C+kXf+ypWIQUQKgjVYguumnawKUJiQFVXRf9cj7OY6DGt2O1U4JUGPze8hB5p8HOExv9BuRDn/iBU9SOcnljvZtq7Bud06khgDHtvRzgX6AOMVtVR0W0you/ZLJbGEyyoOkhEskSk++7vcXpKXzSy6Q5g93aC00v6vANNr8AZ40JE8nHCZUMz2weANdEe1/nsvUM9AKxX1ToRORHnlM8YT7Gg6rh+wPsiMg9n6aRSVX2lke3+ClwrInNxelxztWMDhD8HLoq2OxP4SRPH2/3aA0BBdPsR7O0tPQWMEZEQcAFQ3oGajIkLG0x3QfTK3xJVjetioyIyGrhTVSfHsx1j4s2CKkGJyBjgaZwbQZ9zux5jOsKCyhjjeTZGZYzxPAsqY4znWVAZYzzPgsoY43kWVMYYz7OgMsZ4ngWVMcbzLKiMMZ5nQWWM8TwLKmOM51lQGWM8z4LKGON5FlTGGM+zoDLGeJ4FlTHG8yyojDGeZ0FljPE8CypjjOdZUBljPM+CyhjjeRZUxhjP+/+E7wqUc5iGbgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = \"Hoelang ben je werkzaam bij KEMBIT?\"\n", + "\n", + "order = [\n", + " \"Minder dan 2 jaar\\n\",\n", + " \"2 t/m 4 jaar\\n\",\n", + " \"5 t/m 8 jaar\\n\",\n", + " \"9+ jaar\\n\"\n", + "]\n", + "\n", + "(\n", + " data[q]\n", + " .value_counts()\n", + " .loc[order]\n", + " .plot(kind='pie', ylabel='', autopct='%1.1f%%')\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hoe regelmatig verricht je activiteiten welke tot de volgende categorieën behoren?" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, @@ -169,7 +232,717 @@ " \"Bijna elke dag\\n\"\n", "]\n", "\n", - "data[columns].apply(pd.value_counts).loc[order].transpose().plot(kind='barh', stacked=True)" + "(\n", + " data[columns]\n", + " .apply(pd.value_counts)\n", + " .loc[order]\n", + " .transpose()\n", + " .plot(kind='barh', stacked=True)\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Welke werkzaamheden zouden volgens jou het meest waardevol zijn om automatisering bij toe te passen?" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "q = \"Welke werkzaamheden zouden volgens jou het meest waardevol zijn om automatisering bij toe te passen?\"\n", + "\n", + "columns = [\n", + " 'Beheerwerkzaamheden2',\n", + " 'Design2',\n", + " 'Troubleshooting'\n", + "]\n", + "\n", + "names = [\n", + " 'Beheerwerkzaamheden',\n", + " 'Design',\n", + " 'Troubleshooting'\n", + "]\n", + "\n", + "translation_table = dict(zip(columns, names))\n", + "\n", + "order = [\n", + " \"Geen\\n\",\n", + " \"Een beetje\\n\",\n", + " \"Redelijk\\n\",\n", + " \"Veel\"\n", + "]\n", + "\n", + "order_display = [\n", + " \"Geen\",\n", + " \"Een beetje\",\n", + " \"Redelijk\",\n", + " \"Veel\"\n", + "]\n", + "\n", + "order_display_lookup = dict(zip(order, order_display))\n", + "\n", + "plot = (\n", + " data[columns]\n", + " .replace(order_display_lookup)\n", + " .apply(pd.value_counts)\n", + " .rename(columns=translation_table)\n", + " .loc[order_display]\n", + " .transpose()\n", + " .plot(kind='barh', stacked=True, figsize=(8,4), title=fill(q, 60))\n", + ")\n", + "\n", + "plot.legend(title='Antwoord', bbox_to_anchor=(1,1), loc=\"upper left\", frameon=False)\n", + "fig = plot.get_figure()\n", + "fig.tight_layout()\n", + "fig.savefig(f'{FIGURES_DIRECTORY}/suvey_mening_toepassingsgebied_automatisering.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hoeveel ervaring heb je met programmeren (naar inschatting)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data['Hoeveel ervaring heb je met programmeren (naar inschatting)'].value_counts().plot(kind='pie', ylabel='', autopct='%1.1f%%')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Met welke programmeertalen heb je ervaring?" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "lan = ''.join(data['Met welke programmeertalen heb je ervaring?'].to_list()).split(';')[:-1]\n", + "\n", + "lan = pd.Series(lan)\n", + "\n", + "lan.value_counts().plot(kind='pie', ylabel=False, autopct='%1.0f%%')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?'\n", + "\n", + "data[q].value_counts().plot(kind='pie', autopct='%1.0f%%', ylabel='', title=fill(q, 40))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Welke automatiseringstools gebruik je momenteel?" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Welke automatiseringstools gebruik je momenteel?'\n", + "\n", + "tools = ''.join(data[q].dropna().to_list()).split(';')[:-1]\n", + "tools = pd.Series(tools)\n", + "\n", + "tools.value_counts().plot(kind='pie', autopct='%1.0f%%', title=fill(q, 40))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Voor welk type werkzaamheden gebruik je deze tool(s)?" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data['Voor welk type werkzaamheden gebruik je deze tool(s)?'].dropna().value_counts().plot(kind='pie', autopct='%1.1f%%', ylabel='')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?'\n", + "\n", + "plot = (\n", + " data[q]\n", + " .value_counts()\n", + " .plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(q, 50))\n", + ")\n", + "\n", + "fig = plot.get_figure()\n", + "fig.tight_layout()\n", + "fig.savefig(f'{FIGURES_DIRECTORY}/survey_pie_meer_automatisering_mening.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Waarom niet?" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4 Geen tijd voor\\n;\n", + "Name: Waarom niet?, dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = 'Waarom niet?'\n", + "\n", + "data[q].dropna()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Waarom wel?" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Waarom wel?'\n", + "\n", + "title = ('Waarom denk je dat je jouw werkzaamheden beter en/of '\n", + " 'sneller uit kan voeren door het gebruikmaken van automatiseringstools?')\n", + "\n", + "wel = ''.join(data[q].dropna()).split(';')[:-1]\n", + "\n", + "wel = pd.Series(wel)\n", + "\n", + "plot = wel.value_counts().plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(title, 50))\n", + "\n", + "fig = plot.get_figure()\n", + "fig.tight_layout()\n", + "fig.savefig(f'{FIGURES_DIRECTORY}/suvey_survey_waarom_automatiseren.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?'\n", + "\n", + "plot = data[q].value_counts().plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(q, 50))\n", + "\n", + "fig = plot.get_figure()\n", + "fig.tight_layout()\n", + "fig.savefig(f'{FIGURES_DIRECTORY}/survey_leren_automatiseren.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?'\n", + "\n", + "data[q].value_counts().plot(kind='pie', ylabel='')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Helpen de volgende applicaties jou met het sneller en/of beter uitvoeren van jouw werkzaamheden?" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "q = [\n", + " 'Topdesk (voor incidenten, changes en project management)',\n", + " 'Topdesk Asset Management',\n", + " 'PRTG',\n", + " 'SuperPuTTY'\n", + "]\n", + "\n", + "names = [\n", + " 'TOPdesk ITSM',\n", + " 'TOPdesk Asset Management',\n", + " 'PRTG',\n", + " 'SuperPuTTY'\n", + "]\n", + "\n", + "translation_table = dict(zip(q, names))\n", + "\n", + "ans = [\n", + " 'Nee',\n", + " 'Kan beter',\n", + " 'Redelijk',\n", + " 'Ja'\n", + " \n", + "]\n", + "\n", + "(\n", + " data[q]\n", + " .apply(pd.value_counts)\n", + " .rename(columns=translation_table)\n", + " .fillna(0)\n", + " .loc[ans]\n", + " .transpose()\n", + " .plot(kind='barh', stacked=True)\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wat kost jou als medewerker de meeste tijd?" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Wat kost jou als medewerker de meeste tijd?'\n", + "\n", + "plot = (\n", + " pd.Series(\n", + " ''.join(data[q]).split(';')[:-1])\n", + " .value_counts()\n", + " .plot(kind='pie', ylabel='', title=q, autopct='%1.0f%%')\n", + ")\n", + "\n", + "fig = plot.get_figure()\n", + "fig.tight_layout()\n", + "fig.savefig(f'{FIGURES_DIRECTORY}/survey_pie_meeste_tijd.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Waarom kost dit veel tijd?" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Bepaalde stappen zijn overbodig afhankelijk va...\n", + "1 veel handwerk, bijv. transfer van nieuw image ...\n", + "2 Teveel repeterende werkzaamheden. \n", + "3 Veel handmatige controlen/handelingen\n", + "4 Regievoering en projecten hebben lange doorloo...\n", + "5 Handmatig invoeren van gegevens uit Topdesk\n", + "6 niet alles geautomatiseerd (updates zouden al ...\n", + "7 Veel repetitieve zaken worden handmatig gedaan...\n", + "8 Onderdeel van takenpakket\n", + "Name: Waarom kost dit veel tijd?, dtype: object" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = 'Waarom kost dit veel tijd?'\n", + "\n", + "data[q]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Welk proces kan volgens jou beter?" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = 'Welk proces kan volgens jou beter?'\n", + "\n", + "pd.Series(''.join(data[q]).split(';')[:-1]).value_counts().plot(kind='pie')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Waarom kunnen deze processen beter?" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Handmatige handelingen die gemakkelijk geautom...\n", + "1 monitoring: automatisch ticket logging in topd...\n", + "2 Omdat in alle processen nog sprake is van hand...\n", + "3 Ontbreken van informatie die handmatig verwerk...\n", + "4 Security inzake de netwerkapparatuur moet omho...\n", + "5 Tijdsbesparing\n", + "6 tickets worden niet autoamtisch gemaakt, backu...\n", + "7 Er zijn nog veel aspecten die geautomatiseerd ...\n", + "8 Er zijn te veel mensen met een beheeractivitei...\n", + "Name: Waarom kunnen deze processen beter?, dtype: object" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = 'Waarom kunnen deze processen beter?'\n", + "\n", + "data[q]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Beschrijf welke processen geautomatiseerd gaan...\n", + "7 Goed bezig Martijn!\n", + "Name: Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?, dtype: object" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q = 'Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?'\n", + "\n", + "data[q].dropna()" ] }, { @@ -199,7 +972,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" + "version": "3.10.4" }, "orig_nbformat": 4 }, diff --git a/data-analyse/topdesk_changes.ipynb b/data-analyse/topdesk_changes.ipynb index 4881e2d..cedfb64 100644 --- a/data-analyse/topdesk_changes.ipynb +++ b/data-analyse/topdesk_changes.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -47,7 +47,8 @@ " \"timeSpent\",\n", " \"category.name\",\n", " \"subcategory.name\",\n", - " \"creationDate\"\n", + " \"creationDate\",\n", + " \"finalDate\"\n", "]\n", "\n", "results = topdesk.get_changeactivities(query, fields)" @@ -64,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -77,6 +78,8 @@ "\n", "df.creationDate = pd.to_datetime(df.creationDate)\n", "\n", + "df.finalDate = pd.to_datetime(df.finalDate)\n", + "\n", "# df.timeSpent = df.timeSpent / 3600 # twee keer delen door 60 om naar uren te zetten" ] }, @@ -89,12 +92,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -123,6 +126,52 @@ "fig.savefig(f'{FIGURES_DIRECTORY}/changes_tijd_categorie_tijd.pdf')" ] }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot = (\n", + " df\n", + " .groupby([pd.Grouper(key='finalDate', freq='M')])\n", + " .sum()\n", + " # .transform(lambda x: (x - x.min()) / (x.max() - x.min()))\n", + " .plot(kind='line', figsize=(8,4), xlabel='Aanmaak datum', ylabel='Gespendeerde tijd (genormaliseerd)')\n", + " )\n", + "\n", + "plot\n", + " \n", + "# plot.grid(axis='y')\n", + "# plot.legend(title='Change categorie', bbox_to_anchor=(1,1), loc=\"upper left\", frameon=False)\n", + "# fig = plot.get_figure()\n", + "# fig.tight_layout()\n", + "# fig.savefig(f'{FIGURES_DIRECTORY}/changes_tijd_categorie_tijd.pdf')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -132,12 +181,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -158,7 +207,7 @@ " .sum()\n", " .apply(normalize)\n", " .sort_values(by='timeSpent', ascending=True)\n", - " .plot(kind='barh', xlabel='Change categorie', legend=False)\n", + " .plot(kind='barh', xlabel='', legend=False)\n", ")\n", "\n", "plot.grid(axis='x')\n", @@ -176,12 +225,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -200,7 +249,7 @@ " .mean()\n", " .transform(lambda x: (x - x.min()) / (x.max() - x.min()))\n", " .sort_values(by='timeSpent')\n", - " .plot(kind='barh', title='Gemiddelde bestede tijd per categorie (genormaliseerd)', legend=False)\n", + " .plot(kind='barh', legend=False, xlabel='')\n", ")\n", "\n", "plot.grid(axis='x')\n", @@ -218,12 +267,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -240,7 +289,7 @@ " .value_counts(normalize=True)\n", " .mul(100)\n", " .sort_values()\n", - " .plot(kind='barh', title=\"Aantal changes per categorie (percentage)\")\n", + " .plot(kind='barh')\n", ")\n", "\n", "plot.grid(axis='x')\n", @@ -255,7 +304,7 @@ "hash": "575fec65d45321c352903a66d850f258e7db7eb07d7e800b3ab1ae68e5593d3c" }, "kernelspec": { - "display_name": "Python 3.10.0 ('venv': venv)", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -269,9 +318,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" - }, - "orig_nbformat": 4 + "version": "3.10.4" + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/data-analyse/topdesk_incidenten.ipynb b/data-analyse/topdesk_incidenten.ipynb index b877919..0122ab8 100644 --- a/data-analyse/topdesk_incidenten.ipynb +++ b/data-analyse/topdesk_incidenten.ipynb @@ -128,7 +128,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" + "version": "3.10.4" }, "orig_nbformat": 4 }, diff --git a/figures/src/continuous_practices.dot b/figures/src/continuous_practices.dot new file mode 100644 index 0000000..f6e5d4a --- /dev/null +++ b/figures/src/continuous_practices.dot @@ -0,0 +1,37 @@ +digraph G { + + node [shape=box] + rankdir="LR" + compound=true + + "Developers" -> "Repository" [label="Commit"] + + subgraph cluster_0 { + rankdir="TB" + label = "Continuous Integration" + "Build" -> "Test" + } + + subgraph cluster_1 { + rankdir="TB" + label = "Continuous Delivery" + cd_at [label="Acceptance Test"] + cd_prod [label="Production"] + cd_at -> cd_prod [label="Manual"] + } + + subgraph cluster_2 { + rankdir="TB" + label = "Continuous Deployment" + cde_at [label="Acceptance Test"] + cde_prod [label="Production"] + + cde_at -> cde_prod [label="Auto"] + } + + "Repository" -> "Build" [lhead=cluster_0] + + "Test" -> cde_at [lhead=cluster_2 ltail=cluster_0] + "Test" -> cd_at [lhead=cluster_1 ltail=cluster_0] + +} \ No newline at end of file diff --git a/figures/src/event_based_model.dot b/figures/src/event_based_model.dot new file mode 100644 index 0000000..452a39b --- /dev/null +++ b/figures/src/event_based_model.dot @@ -0,0 +1,4 @@ +digraph { + "Initiating Event" -> "Event Channel" + "Event Channel" -> "Event Processor" +} \ No newline at end of file diff --git a/figures/src/onderzoeksopzet.dot b/figures/src/onderzoeksopzet.dot index c115cdd..bddc776 100644 --- a/figures/src/onderzoeksopzet.dot +++ b/figures/src/onderzoeksopzet.dot @@ -1,8 +1,8 @@ digraph { node [shape=box] "Data-analyse" -> "Root Cause analyse" - "Survey" -> "Root Cause analyse" [label="1"] - "Survey" -> "Requirements" [label="2"] + "Survey" -> "Root Cause analyse" + "Survey" -> "Requirements" "Interview" -> "Root Cause analyse" "Interview" -> "Requirements" "Root Cause analyse" -> "Requirements" diff --git a/figures/src/root_cause.dot b/figures/src/root_cause.dot new file mode 100644 index 0000000..677f94f --- /dev/null +++ b/figures/src/root_cause.dot @@ -0,0 +1,17 @@ +digraph { + node [shape=box] + "Tijdsbesparing" -> "Automatisering" + "Foutpreventie" -> "Automatisering" + "Innovatie" -> "Automatisering" + "Self Service Portal" -> "Automatisering" + "Automatisering" -> "In gebruik nemen Ansible" + "In gebruik nemen Ansible" -> "Lastig om te leren" +// "Lastig om te leren" -> "ETN Networking Lab" +// "Lastig om te leren" -> "ETN eigen knowledge base / documentatie" + "In gebruik nemen Ansible" -> "Niet mogelijk met\nhuidige beheeromgeving" +// "Niet mogelijk met huidige beheeromgeving" -> "Installeer WSL op beheerserver" +// "Niet mogelijk met huidige beheeromgeving" -> "SSH proxy" + "In gebruik nemen Ansible" -> "Geen integratie met\ngebruikte applicaties" +// "Geen integratie met gebruikte applicaties" -> "TOPdesk" +// "Geen integratie met gebruikte applicaties" -> "TOPdesk Asset Management" +} diff --git a/main.tex b/main.tex index 123901f..db8e4d5 100644 --- a/main.tex +++ b/main.tex @@ -70,6 +70,9 @@ Martijn Remmen \usepackage[pdftex, pdfauthor={\auteur}, pdftitle={\titel}, + colorlinks=true, + linkcolor=black, + citecolor=black, pdfsubject={\project}]{hyperref} \titleformat{\chapter}[hang] @@ -94,14 +97,12 @@ Martijn Remmen \input{chapters/3 - methode.tex} \input{chapters/4 - resultaten.tex} \input{chapters/5 - conclusie.tex} + \input{chapters/6 - discussie.tex} \appendix \chapter{Interview Patrick Kuepers}\label{appendix:interview} \input{appendix/interview.tex} - - \chapter{Survey Expert Team Networking}\label{appendix:survey} - \input{appendix/survey.tex} \printbibliography