Jenkins Kubernetes Integration: Dynamic Pod Agents, Pod Templates, and In-Cluster Builds

Jenkins Kubernetes Integration#

The kubernetes plugin gives Jenkins elastic build capacity. Each build spins up a pod, runs its work, and the pod is deleted. No idle agents, no capacity planning, no snowflake build servers.

The Kubernetes Plugin#

The plugin creates agent pods on demand. When a pipeline requests an agent, a pod is created from a template, its JNLP container connects back to Jenkins, the build runs, and the pod is deleted.

Jenkins Pipeline Patterns: Declarative and Scripted Pipelines, Shared Libraries, and Common Workflows

Jenkins Pipeline Patterns#

Jenkins pipelines define your build, test, and deploy process as code in a Jenkinsfile stored alongside your application source. This eliminates configuration drift and makes CI/CD reproducible across branches.

Declarative vs Scripted#

Declarative is the standard choice. It has a fixed structure, better error reporting, and supports the Blue Ocean visual editor. Scripted is raw Groovy – more flexible, but harder to read and maintain. Use declarative unless you need control flow that declarative cannot express.

Jenkins Setup and Configuration: Installation, JCasC, Plugins, Credentials, and Agents

Jenkins Setup and Configuration#

Jenkins is a self-hosted automation server. Unlike managed CI services, you own the infrastructure, which means you control everything from plugin versions to executor capacity. This guide covers the three main installation methods and the configuration patterns that make Jenkins manageable at scale.

Installation with Docker#

The fastest way to run Jenkins locally or in a VM:

docker run -d \
  --name jenkins \
  -p 8080:8080 \
  -p 50000:50000 \
  -v jenkins_home:/var/jenkins_home \
  jenkins/jenkins:lts-jdk17

Port 8080 is the web UI. Port 50000 is the JNLP agent port for inbound agent connections. The volume mount is critical – without it, all configuration and build history is lost when the container restarts.

kind Validation Templates: Cluster Configs and Lifecycle Scripts

kind Validation Templates#

kind (Kubernetes IN Docker) runs Kubernetes clusters using Docker containers as nodes. It was designed for testing Kubernetes itself, which makes it an excellent tool for validating infrastructure changes. It starts fast, uses fewer resources than minikube, and is disposable by design.

This article provides copy-paste cluster configurations and complete lifecycle scripts for common validation scenarios.

Cluster Configuration Templates#

Basic Single-Node#

The simplest configuration. One container acts as both control plane and worker. Sufficient for validating that deployments, services, ConfigMaps, and Secrets work correctly.

Knative: Serverless on Kubernetes

Knative: Serverless on Kubernetes#

Knative brings serverless capabilities to any Kubernetes cluster. Unlike managed serverless platforms, you own the cluster – Knative adds autoscaling to zero, revision-based deployments, and event-driven invocation on top of standard Kubernetes primitives. This gives you the serverless developer experience without vendor lock-in.

Knative has two independent components: Serving (request-driven compute that scales to zero) and Eventing (event routing and delivery). You can install either or both.

kubectl Debugging: A Practical Command Reference

kubectl Debugging#

When something breaks in Kubernetes, you need to move through a specific sequence of commands. Here is every debugging command you will reach for, plus a step-by-step workflow for a pod that will not start.

Logs#

kubectl logs <pod-name> -n <namespace>                           # basic
kubectl logs <pod-name> -c <container-name> -n <namespace>       # specific container
kubectl logs <pod-name> --previous -n <namespace>                # previous crash (essential for CrashLoopBackOff)
kubectl logs -f <pod-name> -n <namespace>                        # stream in real-time
kubectl logs --since=5m <pod-name> -n <namespace>                # last 5 minutes
kubectl logs -l app=payments-api -n payments-prod --all-containers  # all pods matching label

The --previous flag is critical for crash-looping pods where the current container has no logs yet. The --all-containers flag captures init containers and sidecars.

Kubernetes API Deprecation Guide: Detecting and Fixing Deprecated APIs Before Upgrades

Kubernetes API Deprecation Guide#

Kubernetes deprecates and removes API versions on a predictable schedule. When an API version is removed, any manifests or Helm charts using the old version will fail to apply on the upgraded cluster. Workloads already running are not affected – they continue to run – but you cannot create, update, or redeploy them until the manifests are updated. This guide walks through the complete workflow for detecting and fixing deprecated APIs before an upgrade.

Kubernetes Audit Logging: Policies, Backends, and Threat Detection

Kubernetes Audit Logging#

Kubernetes audit logging records every request to the API server: who made the request, what they asked for, and what happened. Without audit logging, you have no visibility into who accessed secrets, who changed RBAC roles, or who exec’d into a production pod. It is the foundation of security monitoring in Kubernetes.

Audit Policy#

The audit policy defines which events to record and at what detail level. There are four levels:

Kubernetes Cost Audit and Reduction: A Systematic Operational Plan

Kubernetes Cost Audit and Reduction#

Kubernetes clusters accumulate cost waste silently. Resource requests padded “just in case” during initial deployment never get revisited. Load balancers created for debugging stay running. PVCs from deleted applications persist. Over six months, a cluster originally running at $5,000/month can drift to $12,000 with no corresponding increase in actual workload.

This operational plan works through cost reduction systematically, starting with visibility (you cannot cut what you cannot see), moving through quick wins, then tackling the larger structural optimizations that require data collection and careful rollout.

Kubernetes Deployment Strategies: Rolling, Blue-Green, and Canary

Kubernetes Deployment Strategies#

Every deployment strategy answers the same question: how do you replace running pods with new ones without breaking things for users? The answer depends on your tolerance for downtime, risk appetite, and infrastructure complexity.

Rolling Update (Default)#

Rolling updates replace pods incrementally. Kubernetes creates new pods before killing old ones, keeping the service available throughout. This is the default strategy for Deployments.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: web-api
spec:
  replicas: 4
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 1
  minReadySeconds: 10
  selector:
    matchLabels:
      app: web-api
  template:
    metadata:
      labels:
        app: web-api
    spec:
      containers:
      - name: web-api
        image: web-api:2.1.0
        readinessProbe:
          httpGet:
            path: /healthz
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5

Key parameters: