A batch job on Kubernetes can be restarted, replaced, skipped, or started twice. This article explains the Pod, Job, and CronJob rules behind that, how requests and limits decide placement and failure, and what the program must do to stay correct.
A worked example of a containerized batch job: a Dockerfile that rebuilds quickly, read-only inputs and separate outputs, clean shutdown, and a release record that names an image by digest.
Inspect files, permissions, processes, and logs with Bash, then track and review changes with Git.
Trace network and storage delays, handle uncertain writes safely, and verify a download before making it visible.
Before any pipeline runs, one agreement has to hold: what do these bytes mean?
How data engineering connects source meaning, pipeline state, platform architecture, and consumer commitments.