Docker & Kubernetes Orchestrator

Containerize each service with multi-stage Dockerfiles to optimize image size, then define Kubernetes Deployments, Services, and Ingress resources to orchestrate them. This approach provides reproducible builds, non-root security, resource constraints, and robust deployment strategies for production environments.

Multi-stage Dockerfiles separate build and runtime layers, reducing final image size by excluding build dependencies. This technique applies to Node.js and Python applications, improving deployment speed and security by minimizing the attack surface in production containers.

Use Kubernetes ConfigMaps for non-sensitive configuration and Secrets for sensitive data like credentials and API keys. These resources decouple configuration from application code, enabling secure, reusable deployments across environments without hardcoded values.

Yes. Docker Compose orchestrates multi-container applications locally for development and testing, while Kubernetes provides production-grade orchestration with service discovery, health checks, autoscaling, and high availability. Both use similar container concepts but differ in scale and features.

Horizontal Pod Autoscaling automatically adjusts replica counts based on CPU and memory utilization metrics. This ensures applications scale efficiently under load, optimize resource usage, and maintain performance without manual intervention.

Run containers as non-root users, apply resource constraints, manage secrets separately from code, and use health checks for reliability. These practices reduce vulnerability exposure, prevent resource exhaustion, and ensure only authorized processes access sensitive data.