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Endigest AI Core Summary
Slack describes how they improved Chef infrastructure safety by splitting environments and implementing a release train model without disrupting existing cookbooks or roles.
•Single production Chef environment was split into prod-1 through prod-6, mapped by Availability Zone to reduce blast radius during large scale-out events
•Poptart Bootstrap tool (baked into base AMIs) was extended to inspect AZ ID and assign nodes to the appropriate numbered Chef environment at boot time
•prod-1 serves as a canary environment, receiving updates every hour with the latest cookbook changes to catch issues early
•prod-2 through prod-6 follow a release train model where each environment must successfully receive a version before it propagates to the next
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Changes flow through sandbox and dev environments at the top of the hour, then into production environments starting at 30 minutes past the hour via a Kubernetes cron job
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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