CI/CD Pipeline Overview
CI/CD pipelines from commit checks to build, release, and deployment.
Delivery pipelines, infrastructure automation, release controls, and operational feedback loops that shape how software ships safely and repeatedly.
CI/CD pipelines from commit checks to build, release, and deployment.
Docker through layered images, namespaces, cgroups, and daemon-managed containers.
Kubernetes reconciles container workloads to a declared cluster state.
DevOps and NoOps compared through ownership, automation, and managed services.
Nginx gained popularity through event-driven proxying, caching, and static serving.
Command-line log parsing with grep, cut, sed, awk, sort, uniq, and jq.
Logs, traces, and metrics as complementary signals for system observability.
Service deployment strategies through rolling, blue-green, canary, and rollback control.
DevOps, SRE, and platform engineering compared by ownership and reliability.
Terraform execution through state, dependency graphs, planning, and provider APIs.
Kubernetes deployment strategies through rolling, blue-green, and canary releases.
Kubernetes commands for inspecting state, changing workloads, and debugging clusters.
CI/CD workflow stages from code change to tested, deployed release.
Docker concepts for image builds, runtime isolation, storage, networking, and registries.
Nine Docker practices for image builds, isolation, configuration, and runtime hygiene.
Netflix's CI/CD pipeline through planning, immutable artefacts, rollout control, and telemetry.
Kubernetes tooling across packaging, delivery, observability, security, and networking.
Kubernetes tooling across provisioning, delivery, networking, observability, and policy.
Cloud-native failure patterns in scaling, state, coupling, and operations.
Kubernetes Service types for internal discovery, node exposure, and external access.
Time-series database choices for high-ingest metric collection systems.
Push and pull metrics collection compared through discovery, delivery, and control.
Developer-to-tester ratios through automation, continuous delivery, and quality ownership.
DevOps books covering delivery, reliability, team structure, and operational design.
Kubernetes patterns for health checks, placement, scaling, config, and rollout control.