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Container Orchestration

cloud PHP 5.0+ Advanced

Also Known As

Kubernetes K8s Docker Swarm EKS GKE

TL;DR

Automating the deployment, scaling, networking, and health management of containers across a cluster of machines — Kubernetes is the dominant solution.

Explanation

Kubernetes (K8s) manages containerised workloads: Pods (one or more containers), Deployments (desired replica count), Services (stable network endpoint), Ingress (HTTP routing), ConfigMaps/Secrets (configuration), and PersistentVolumes (storage). The control plane schedules and monitors; worker nodes run containers. Key operations: rolling updates, health checks, automatic restarts, horizontal pod autoscaling. For PHP: PHP-FPM runs in containers behind an nginx sidecar, scaled by HPA based on CPU or request rate.

Diagram

flowchart TD
    subgraph Kubernetes Cluster
        API[API Server]
        subgraph Node 1
            P1[Pod: PHP-FPM]
            P2[Pod: Worker]
        end
        subgraph Node 2
            P3[Pod: PHP-FPM]
            P4[Pod: Nginx]
        end
    end
    SVC[Service - stable DNS] --> P1 & P3
    ING[Ingress - routes traffic] --> SVC
    HPA[HPA - auto-scales pods<br/>on CPU or custom metrics] --> P1 & P3
    CM[ConfigMap - env config] -.-> P1 & P2 & P3
    SEC[Secret - credentials] -.-> P1 & P2 & P3
style ING fill:#d29922,color:#fff
style HPA fill:#238636,color:#fff
style SVC fill:#1f6feb,color:#fff

Common Misconception

Kubernetes is required for production — it adds significant operational complexity; a managed PaaS (Render, Fly.io, Railway) or serverless approach is often better for teams without dedicated DevOps.

Why It Matters

Kubernetes standardises deployment, scaling, and self-healing across any cloud — a workload running on local K8s runs identically on EKS, GKE, or AKS.

Common Mistakes

  • Running a database in Kubernetes without understanding persistent storage — container restarts lose data without PVCs.
  • Not setting resource requests and limits — containers without limits steal CPU/memory from neighbours.
  • Not implementing readiness and liveness probes — Kubernetes cannot route traffic away from broken pods without them.
  • Storing secrets in ConfigMaps — use Kubernetes Secrets or an external secrets manager.

Code Examples

✗ Vulnerable
# Deployment without resource limits or health probes:
apiVersion: apps/v1
kind: Deployment
spec:
  template:
    spec:
      containers:
      - name: php-fpm
        image: myapp:latest
        # No resources: limits — can consume all node CPU/memory
        # No readinessProbe — traffic sent to broken pods
        # No livenessProbe — dead pods never restarted
✓ Fixed
spec:
  containers:
  - name: php-fpm
    image: myapp:1.2.3  # Pinned version, not 'latest'
    resources:
      requests: { cpu: 250m, memory: 256Mi }
      limits:   { cpu: 500m, memory: 512Mi }
    readinessProbe:
      httpGet: { path: /health, port: 80 }
      initialDelaySeconds: 5
    livenessProbe:
      httpGet: { path: /ping, port: 80 }
      periodSeconds: 10

Added 15 Mar 2026
Edited 22 Mar 2026
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DEV INTEL Tools & Severity
🟡 Medium ⚙ Fix effort: High
⚡ Quick Fix
Use managed Kubernetes (EKS, GKE, AKS) rather than self-hosted — the control plane management overhead is significant; focus on deploying your PHP app, not operating Kubernetes
📦 Applies To
PHP 5.0+ web cli
🔗 Prerequisites
🔍 Detection Hints
Running PHP on self-managed k8s without platform team; missing resource limits on PHP pods; no network policies between services
Auto-detectable: ✗ No kubectl k9s helm terraform
⚠ Related Problems
🤖 AI Agent
Confidence: Low False Positives: Medium ✗ Manual fix Fix: High Context: File

✓ schema.org compliant