Container Orchestration
Container orchestration automates container work across several machines. It places work, keeps the requested count, replaces failures, and connects services.
desired workload state -> schedule -> run -> observe -> reconciledesired 3 ≠ actual 2↻desired workload state -> schedule -> run -> observe -> reconcileOPSAnother example
A team asks for three checkout copies. The orchestrator places them, replaces a failed copy, and routes traffic to ready copies.
Main parts
- 01Desired workload rules
- 02Scheduler
- 03Controllers and reconciliation
- 04Nodes and runtimes
- 05Service networking
- 06Health, scale, and rollout
Use it when
Use orchestration when many container workloads need shared rules for scheduling, scaling, recovery, networking, and rollout.
Do not use it when
Do not call a build or test pipeline orchestration. CI/CD delivers releases; orchestration manages running workloads.
Name used in code
desired workload state -> schedule -> run -> observe -> reconcile Before you ship
Before publishing, check the exact repository, branch, target, and diff. Keep unpublished work. Pass review and CI checks. Record conflict and data-loss risks, release order, traceability, recovery, and rollback.
Outcome: Use Container Orchestration to release or recover the change safely, with a clear record. User context: A team asks for three checkout copies. The orchestrator places them, replaces a failed copy, and routes traffic to ready copies. Delivery concept or operation: Container Orchestration. Why it fits: Use orchestration when many container workloads need shared rules for scheduling, scaling, recovery, networking, and rollout. Do not use it when: Do not call a build or test pipeline orchestration. CI/CD delivers releases; orchestration manages running workloads. Delivery requirements: Name the code repository and target. List preconditions, changes, review and CI checks, conflict and data-loss risks, release order, and the rollback or recovery command. Repository safeguards: Keep unpublished work and a clear history. Do not run destructive steps without an explicit backup. Check the exact code diff and remote target before publishing. Acceptance criteria: Review the intended diff and pass all required checks. Keep the target version traceable. Practice failure recovery and keep published history clear. Evidence and limits (evidence boundary): No single official standard controls the whole term. Its meaning may change across teams, platforms, or frameworks. Unknowns to confirm: Repository, branch, team activity, release environment, approval owner, protected checks, and rollback target.
Check this request
Review the current use of Container Orchestration. Definition: Container orchestration automates container work across several machines. It places work, keeps the requested count, replaces failures, and connects services. Release checks: Before publishing, check the exact repository, branch, target, and diff. Keep unpublished work. Pass review and CI checks. Record conflict and data-loss risks, release order, traceability, recovery, and rollback. Before changing code, report the evidence you found, gaps, severity, and the smallest safe fix.