Context, Motivation, and Theory

We have a microservices environment with Kubernetes(k8s), in which we develop a service that requires a database. We decided to do the migration management of the database using Liquibase.

Eventually, we realized that some deploys left the database locked. After some research, we found the key. The k8s itself, if a deployment process takes longer than a certain time if the failureThreshold is exceeded combined with the initialDelaySeconds in the startupProbe, in our example, while applying migrations, it assumes that the Pod has been left in a corrupt and/or inconsistent state and kills the process.

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