Enterprise Tooling

Kubernetes

Production-grade container orchestration for automating deployment, scaling, and management.

5/5
Pricing: Free, Open Source (Apache 2.0); Managed options vary by providerVisit Website
Kubernetes cluster architecture

Pros

  • Industry standard
  • Extensive ecosystem
  • Cloud portability
  • Active development

Cons

  • Operational complexity
  • Learning curve
  • Resource overhead
  • Security complexity

Best Use Cases

  • Microservices
  • Container orchestration
  • CI/CD pipelines
  • Hybrid cloud

Overview

Kubernetes (K8s) has become the standard platform for container orchestration, providing a portable, extensible foundation for running containerized workloads.

Key Features

Declarative Configuration

Define application deployments, services, and configurations in YAML:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    spec:
      containers:
      - name: nginx
        image: nginx:1.21

Self-Healing

Automatically replaces failed containers, reschedules workloads, and manages rollouts.

Horizontal Scaling

Scale applications based on CPU, memory, or custom metrics.

Service Discovery

Built-in DNS and load balancing for service communication.

Best For

  • Microservices architectures
  • Organizations standardizing on containers
  • Teams requiring portability across clouds
  • Applications needing high availability

Limitations

  • Significant operational complexity
  • Steep learning curve
  • Overhead for simple applications
  • Security requires careful configuration

Our Take

Kubernetes is essential for organizations running containerized workloads at scale. The learning investment pays off in operational consistency and ecosystem access.