Ep 89: Tubular bells and whistles

This week I talk to Abby Bangser about pipelines!

This episode is based a bit on a workshop that Abby and previous guest Lisa Crispin will be giving at ETC next year.

Things we cover:

  1. Brief definition of and difference between:
    1. Continuous Integration
      1. The practice of merging all developer working copies to a shared mainline several times a day
        I think it was Jez Humble who likes to ask a set of questions when discussing continuous integration. He has everyone who is doing CI raise their hands. Then he asks an array of questions like: anyone who has branches that live more than a week lower their hands. Then anyone who does not merge back to master at least daily lower their hands. Then anyone who does not run automated tests on every check in lower their hands. And when I saw him do this about a year ago he said it was a much better turn out (maybe 50%?) than when he had first started that years ago.
    2. Continuous delivery
      1. The practice of treating every commit as if it could be pulled into a release to production at any time.
        The challenges here are that if any commit could go to production, you need to be able to have WIP safely committed. This usually begins the debate of branching vs toggling. Additionally, toggling usually gets a big boost when looking at continuous delivery for two reasons. 1) sending fixs through a branching scheme requires those issues to be fixed on trunk as well as the release branches causing risk of regression. And 2) the ability to turn off new features through flexible toggles is one way to handle release risk.
    3. Continuous Deployment
      1. The practice of pushing any proven check in to production without manual intervention. The biggest point that should be made here, is that we are not just pushing anything to production. We are pushing only fully tested and fully proven changes. This can include automated security, performance, and accessibility testing. It can also include automated documentation and auditing functions as well.
        While zero downtime deployment strategies can be employed at any time, when choosing to follow continuous deployment this is a definite necessity.
  2. Key differences
    1. They kind of build on each other. There is some great work by Maaret P a while ago in 2014 about how regular (though maybe not continuous) deployment can be possible with some manual testing included (http://visible-quality.blogspot.co.uk/2014/04/continuous-releases-are-way-forward.html). In any case, it is important to remember the reason for each of the practices. CI is to get fast feedback and high collaboration, Delivery is to think sustainably and provide a faster MTTR. And deployment is to remove technical limitations to business goals of releasing value to the end user with specific / quick timelines.
  3. What do we mean by pipeline?
    1. Pipelines: Dictionary style: a direct channel for information / a process or channel of supply
    2. Tech style: progressively giving feedback to the team and visibility into the flow of changes to everyone involved in delivering the new feature/s.
    3. So really the hidden value: is when you treat them more like sifters. When trying to sort through stones, you can get a set of sifters with different sizes until what is left is the stones which pass properly through each sifter or “test”.
  4. And where are they hiding in your project work?
    1. Yes we of course have the major one…Idea to production, but realistically isn’t it split?
      1. Idea to ready for dev
      2. Development to prod
  5. Why identify them?
    1. Before you can optimise, you have to know where bottlenecks are (great example in the Phoenix Project). Use long standing value stream mapping techniques to identify stages, actors, queue times, rework etc to identify which parts of the pipeline have snags and then look to zoom in and figure out how to improve them.
  6. How are they useful for teams, and testers in particular? My thoughts here are testers who may have previously not been involved in the release of software at all, and maybe looking at growing in DevOps/CD/CI and not sure why they should be looking at this
    1. Absolutely! Pipelines are about reducing risk. If when you get the application into “QA” environments you could already be sure that it is properly configured, passing basic regression tests, able to connect to external dependencies, etc, you could look to focus on the more interesting risks.
    2. Why go through the (sometimes painful) exercise of deploying an application to a test environment if you could have found out that it was not passing basic validations ahead of time?
    3. Look at current feedback loops and try to evaluate if your sifters are out of order. Or maybe the feedback loops test completely different things (rather than increasing in risk/complexity/cost issues) and you can find ways to parallelise. An example could be doing static analysis reviews while also running unit tests rather than waiting to kick off unit tests until after static analysis is done.
    4. They can work like sifters making things more and more refined along the process
    5. Find pain points in the pipeline and then gather information about that pain point
    6. Even if you can’t fix the issue, gathering information is an important step to go towards fixing or improving the issue
    7. Talk to people! The pipeline is made of people, so find out what people do, what they want to do, what they need, and what they find difficult or a blocker. They will be happy to share!

Other things we mention:
Kim Knup on testing in a CD environment.

Abby’s blog

Leave Comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.