Cloud-Native Evolution Containers remain core. Security Improvements Rootless and scanning. Long-Term Outlook Docker stays relevant.
Production Requirements Monitoring, security, backups. Immutable Infrastructure Replace, don’t patch. Reliability Design for failure.
Cost Efficiency Better resource usage. Scalability Grow without redesign. Competitive Advantage Faster time to market.
Typical Errors Running as root, large images. Prevention Best practices and reviews. Continuous Improvement Audit regularly.
What to Back Up Volumes and images. Backup Automation Scheduled jobs. Recovery Planning Test restore procedures.
Why Private Registries Security and control. Access Management Authentication and auditing. Enterprise Use Cases Compliance and reliability.
Multi-Stage Builds Separate build and runtime. Minimal Base Images Alpine, distroless. Cleanup Strategies Remove unnecessary files.
CPU and Memory Flags Prevent resource exhaustion. Performance Monitoring Detect bottlenecks early. Production Tuning Essential for stability.
Service Isolation One container per service. Independent Scaling Scale services individually. Deployment Benefits Faster releases.
Development vs Production Different requirements. Storage Considerations Persistent volumes required. Backup Strategy Critical for stateful services.
Daemon vs Daemonless Podman runs without a daemon. Security Model Rootless containers. Ecosystem Comparison Docker has broader adoption.
Logging Drivers json-file, syslog, fluentd. Monitoring Metrics CPU, memory, I/O. Observability Stack Prometheus, ELK.
Common Risks Outdated images, exposed sockets. Mitigation Techniques Image scanning, least privilege. Continuous Security Security is ongoing.
Build Once, Run Everywhere Same image across stages. Automation Benefits Repeatable, reliable deployments. Common CI Tools GitHub Actions, GitLab CI.
Environment Parity Match production locally. Faster Onboarding New developers start quickly. Tooling Integration Works with IDEs and CI.
docker-compose.yml Declarative service definitions. Common Commands up, down, logs, exec. Use Cases Local development environments.
Default Bridge Network Basic container-to-container communication. Custom Networks Improved isolation and DNS-based discovery. Security Considerations Network segmentation matters.
Why Volumes Matter Containers are ephemeral by design. Volume Types Named volumes and bind mounts. Common Use Cases Databases, uploads, logs.
Use Minimal Base Images Reduce attack surface. Avoid Root User Run containers as non-root. Handle Secrets Securely Never hardcode credentials.
What Is a Dockerfile? A build recipe for Docker images. Common Instructions FROM, RUN, COPY, CMD, ENTRYPOINT. Example Use Case Packaging a web application.
Layered File System Each Dockerfile instruction creates a new layer. Build Cache Unchanged layers are reused to speed up builds. Best Practices Optimize layers to reduce image size.
Linux Installation Docker runs natively and offers best performance. Windows and macOS Docker Desktop uses lightweight virtualization. Verifying Installation Use docker version and docker run hello-world.
Docker Images Immutable templates used to create containers. Docker Containers Running instances of images with isolated processes. Docker Registries Centralized storage for Docker images.
Architecture Differences Virtual machines emulate full operating systems, while containers share the host kernel. Performance and Resource Usage Containers are faster, consume fewer resources, and scale more efficiently. When to Use Each VMs: strong isolation Containers: […]
What Is Docker? Docker is a containerization platform that packages applications and their dependencies into isolated units called containers. Why Docker Matters Docker ensures consistency across environments, reduces deployment issues, and accelerates development cycles. Key Benefits […]