11 Golden Rules to De-stress Your DevOps Process

Mar 14, 2018 9:44:08 AM

With development teams working on 3-4 releases in parallel and releasing at least once a quarter, we often see release overhead consuming an average of 20-30% of development and operations resources. Enterprises releasing every month, week, or even day suffer from even larger overhead. Here is what you can do to free up most of these 20-30% for the faster creation of new critical software features: to enhance customer value:

11 Golden Release Rules for DevOps

  1. Involve developers, sales, pre-sales, support engineers, operators, and of course executives in determining quality metrics and release gates.
  2. Ensure that all quality metrics can be quantitatively measured.
  3. Provide role-specific health dashboards to all of the above stakeholder groups.
  4. Do not accept any excuses for any red numbers on the dashboard. If it is red the issue has to be addressed or the metric is invalid and must be changed immediately.
  5. All builds, without exception, must be checked in and tested daily. "Build success" must be part of the DevOps dashboard. Absolutely no exceptions.
  6. Test automation has to be part of the DevOps process and automatically kick off after the build.
  7. Compliance and security scans must happen daily after code-checking. These scans must be defined and monitored by the responsible security and compliance staff.
  8. Pre-sales, sales, support, and IT have to be part of all gate reviews.
  9. Pre-sales, sales, support, and IT must be able to create automated sandbox environments within less than 24 hours.
  10. Automate all release workflows, machine to machine and machine to human.
  11. No exceptions!

You notice, I didn't mention the term "containers" even once, however, containers are an infrastructure technology that can help implementing the above rules. For details, please take a look at the #EMATop3 Research Report at www.ematop3.com.

 

Torsten Volk

Written by Torsten Volk

With over 15 years of enterprise IT experience, including a two-and-a-half-year stint leading ASG Technologies' cloud business unit, Torsten returns to EMA to help end users and vendors leverage the opportunities presented by today's hybrid cloud and software-defined infrastructure environments in combination with advanced machine learning. Torsten specializes in topics that lead the way from hybrid cloud and the software-defined data center (SDDC) toward a business-defined concept of enterprise IT. Torsten spearheads research projects on hybrid cloud and machine learning combined with an application- and service-centric approach to hyperconverged infrastructure, capacity planning, intelligent workload placement, public cloud, open source frameworks, containers and hyperscale computing.

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