you build it, you run it
TRANSCRIPT
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2 May 2023
You Build It, You Run It!
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Who the hell are you?
Ex:Kayak
VMwareEverbread
Alex PopovSkyscannerSite Engineering Lead, SofiaEstimated Pricing Tribe Lead
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nobody reads these…
“You build it, you run it. This brings developers … into day-to-day contact with the customer. This customer feedback loop is essential for improving the quality of the service.”, Werner Vogels, CTO Amazon
Source: ACM Interview with Werner Vogels, June 2006
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Not My Problem!
“Bad behavior arises when you abstract people away from the consequences of their actions.”Jez HumbleSource: There is no such thing as “DevOps Team”!
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42!
What does YBYR mean?
Engineers are responsible for the full release cycle!
• Definition of requirements (w/ Product)• Code (MVP style)• Data (w/ Data Eng)• Testing and Automation (w/ Test Eng)• Continues Delivery Pipelines (w/ Dev Enablement)• Infrastructure (w/ INFX/Cloud Ops)• Ops/Monitoring/Availability (w/ Dev Ops)
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Yes!
PROS:
Faster delivery of features is a highly successful practice!
• Fewer PROD failures• Much faster recovery• Much more frequent releases• Delivery is sustainable• Higher performance• Testing is done at scale and performs far better
Source: State of Dev Ops Report 2015
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S**t!
CONS:
There is no silver bullet!
• It is a Culture thing• Requires a change in ‘mind set’ across the organization• No ‘one size fits all’• Depends on the context and the environment• Requires a sync between leadership/process/organization• Works best if everyone is following the practices behind it• Disrupts delivery
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We Know What Works
The Goal:
• Release as fast as possible the new features you produce• A commit should end up on PROD in minutes
• What is released should fail rarely• The system should not allow bad code to propagate to PROD
• When something fails, recovery should be fast (automated)• Monitoring is key. Automated reaction to a failure is a must
• Testing should be fully automated• No team of testers can scale to cover all that needs to be
covered. Manual testing cripples CD and fast releases• Whether a release stays, or is reverted, should be automated• Decisions should be data driven. Blue/Green deployments
• The right metrics are the key. Store as much data as possible and use it to automate all steps in a release cycle
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No Silver Bullet!
The How:
• Everyone knows what works. Nobody has it perfect.• Depends on context/business/environment.• Remove all non software engineering roles? ‘ You f**ing nuts?• Frameworks/tooling are the key.• Focussed specialists should coach, not do.• Possible but not easy.• Not being perfect is no blocker.
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Hmmm…
So shall we do it?
• Absolutely!• It will be hard.• It will take time.• It will make things worse before they get better.• Once in place, you can grow exponentially.
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Mail: [email protected]@long404