Cloud agnostic continuous quality assurance
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presentation on cloud adnostic continuous quality assurance at Software Quality Days 2019
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Cloud agnostic continuous quality assurance
- 1. Cloud agnostic continuous quality assurance Software Quality Days 2019 Andreja Sambolec Cloud agnostic continuous quality assurance
- 2. Cloud agnostic continuous quality assurance Speaker/company introduction ▪ Software developer at Splendit IT-Consulting GmbH ▪ Developing Eclipse plugin for automatic Java code refactoring Slide 2
- 3. Cloud agnostic continuous quality assurance Agenda ▪ Why cloud agnostic ▪ Source control ▪ Code review ▪ Build automation ▪ Code quality ▪ Processes Slide 3
- 4. Cloud agnostic continuous quality assurance Why cloud agnostic Slide 4
- 5. Cloud agnostic continuous quality assurance Why cloud agnostic ▪ Exit cost for cloud provider ▪ GitHub acquisition ▪ Services being abandoned (Stride from atlassian) ▪ EU data shield ▪ Migration from datacenter ▪ Move to using common source control ▪ Move to cloud deployment with already familiar tool Slide 5
- 6. Cloud agnostic continuous quality assurance Toolset ▪ Toolset for demo ▪ Docker • Container implementation • Docker makes running services much easier ▪ Docker compose • Used for defining environment setup • Basically starting up multiple containers ▪ Using docker hub images ▪ Demo code available on GitHub • https://github.com/asambolec/code-pipeline.git Slide 6
- 7. Cloud agnostic continuous quality assurance Source control - Intro Slide 7
- 8. Cloud agnostic continuous quality assurance Source control Slide 8
- 9. Cloud agnostic continuous quality assurance Source control ▪ Problem ▪ More than one developer working on project need to share same code base ▪ Solution ▪ Source control offers elegant solution for collaboration ▪ Widely adopted ▪ Implementation ▪ Gerrit implements free and open source git source code repository ▪ Clients available and integrated in IDE’s and CLI ▪ Quality assurance ▪ Easy refactoring ▪ History containing information about changes and authors ▪ Teaching opportunity Slide 9
- 10. Cloud agnostic continuous quality assurance Source control ▪ When to use source control ▪ Rule of thumb: Always ▪ There is no project small enough that it should not be put into source control ▪ Even POC or hello world projects can be valuable for someone ▪ Early implementation problems get documented in history ▪ Warning ▪ Source control tools usually offer statistics about user activities, don’t use them to measure your developer productivity • They will just do more commits to improve their statistics • It will not give you any information about quality of work ▪ Guidelines ▪ It is very important to have common non IDE dependant code formatting • i.e. Google code formatter ▪ Commit messages are important Slide 10
- 11. Cloud agnostic continuous quality assurance Source control - demo Demo video https://www.youtube.com/watch?v=LpdLwDJzkJI Slide 11
- 12. Cloud agnostic continuous quality assurance Code review Slide 12
- 13. Cloud agnostic continuous quality assurance Code review ▪ Pair programming has great impact on code quality ▪ Code review is trying to mimic pair programming without overhead ▪ Code Quality impact ▪ More experienced programmers can review code to maintain quality standards ▪ All code gets second view with different perspective ▪ Gerrit ▪ Implementation of code review as pull requests ▪ Allows integration with other tools to do automated approval ▪ Very advanced CLI support ▪ New and shiny polymer UI in version 2.16 Slide 13
- 14. Cloud agnostic continuous quality assurance Code review ▪ Guidelines ▪ Pull requests as small as possible ▪ Avoid starvation of junger developers ▪ Be flexible (for skeleton teams approvals can be big overhead) to avoid • blocking developers by waiting for approval • overwhelming senior developers with too much requests Slide 14
- 15. Cloud agnostic continuous quality assurance Code review - Demo Slide 15 Demo video https://www.youtube.com/watch?v=uJTNeOZxFEY
- 16. Cloud agnostic continuous quality assurance Build automation Slide 16
- 17. Cloud agnostic continuous quality assurance Build automation ▪ Problem ▪ Deployments are Error prone and builds are not repeatable ▪ Information about environment status can be lost ▪ Knowledge exchange about build and deployment processes ▪ Level of automation ▪ Automate as much as possible ▪ All non automated things will come back later as technical dept • As lost knowledge due to people change • As time consuming items when scaling up ▪ Naming conventions are most important consideration (Prefix all the stuff) ▪ Jenkins ▪ Generic extendable build and delivery automation tool ▪ Trunk based development and delivery pipelines are first class citizens Slide 17
- 18. Cloud agnostic continuous quality assurance Build automation ▪ Guidelines ▪ Use build automation tools (Maven, Gradle) on all projects from start ▪ Use CI/CD tools as soon as possible on any project ▪ Deploy small batches to production ▪ Don't tightly couple projects, independent life cycles bring more value • Integration tests are easier to maintain and write • Deployment process is simpler Slide 18
- 19. Cloud agnostic continuous quality assurance Build automation - Demo Slide 19 ● Update docker-compose.yaml with Jenkins container ● Create Jenkinsfile (right) and pom.xml in hello-world project ● Commit and push to master
- 20. Cloud agnostic continuous quality assurance Build automation - Demo Slide 20 Demo video https://www.youtube.com/watch?v=8_MLtyo7fac
- 21. Cloud agnostic continuous quality assurance Code quality control Slide 21
- 22. Cloud agnostic continuous quality assurance Code quality control ▪ Problem ▪ Wasted time on pull requests for common code issues (i.e. formatting) ▪ Measure quality of code and give measurable code quality targets ▪ Danger zone ▪ Eliyahu M. Goldratt: Tell me how you measure me, and I will tell you how I will behave ▪ Most important goal is to avoid developers doing things just to improve metrics (Code coverage most likely candidate) ▪ SonarQube ▪ Implements automated solution for code quality analyzes ▪ Automatically checks for 400+ common code quality issues and smells Slide 22
- 23. Cloud agnostic continuous quality assurance Code quality control - Demo Slide 23 ● Update docker-compose.yaml with SonarQube container ● Update Jenkinsfile with Sonar stage ● Commit and push to master
- 24. Cloud agnostic continuous quality assurance Code quality control - Demo Slide 24 Demo video https://www.youtube.com/watch?v=Q0UoiEt6qeY
- 25. Cloud agnostic continuous quality assurance Processes Slide 25
- 26. Cloud agnostic continuous quality assurance Processes ▪ How to improve ▪ Use code review to protect coding standards and teach new developers ▪ Automate build and deployment ▪ Write tests to make refactoring safe ▪ Split monolith into microservices ▪ Reduce deployment cycle • Ideally each microservice independant release cycle with each commit being deployed to production before next merge is done ▪ Measure quality using metrics tool Slide 26
- 27. Cloud agnostic continuous quality assurance WTFs/Minute Slide 27
- 28. Cloud agnostic continuous quality assurance Summary ▪ Any dependency to specific cloud provider should be carefully considered with exit cost in mind ▪ Every project must have ▪ Code repository ▪ Build automation and dependency management ▪ Every project should have ▪ Code review ▪ Delivery pipeline ▪ Code quality analysis Slide 28
- 29. Cloud agnostic continuous quality assurance Thank you for your attention! Any questions…? Andreja Sambolec andreja.sambolec@gmail.com https://github.com/asambolec https://www.linkedin.com/in/andreja-sambolec-22aa6396/