Deployment Strategies and Surge Controls

Deployment Strategies and Surge Controls

This lesson deepens Kubernetes Workloads & Configuration using the same subject areas emphasized by official documentation: Kubernetes official docs: ConfigMaps, Secrets, probes, resources, workload controllers, jobs and autoscaling. The goal is to turn Deployment Strategies and Surge Controls into a production skill: you should know the concept, the configuration surface, the safety controls, the operational checks, and the rollback path.

Documentation Coverage

• Core terms and object model for this topic.
• Configuration options, defaults, and lifecycle behavior from the docs.
• Security, reliability, and ownership boundaries.
• Validation steps before and after the change.
• Common failure modes and diagnostic signals.

Production Implementation Flow

1. Define the source of truth: Git, configuration, API, state file, or control plane.
2. Design the safest repeatable workflow, including dry-run or plan output where possible.
3. Attach CI/CD, policy, security, and peer-review gates.
4. Observe metrics, logs, events, or traces after the change.
5. Document rollback, escalation owner, and evidence for the change record.

kubectl config current-context
kubectl -n platform get deploy,svc,ingress
kubectl -n platform rollout status deploy/example-api
kubectl -n platform describe pod -l app=example-api

Mastery Standard

You understand Deployment Strategies and Surge Controls when you can explain it, configure it, test it, monitor it, and recover it under incident pressure without relying on undocumented manual steps.