20 practical guides
Cloud and DevOps Guides
Learn how to deploy and operate cloud systems with explicit failure boundaries, reviewed automation, useful telemetry, protected state, and tested recovery procedures.
Built for developers and operations teams deploying reliable systems who need concrete design checks and safe operating practices.
Regions, zones, and availability
Design a cloud workload across failure boundaries, define its availability target, and test whether traffic and data survive a zone outage.
Cloud network foundations
Plan address space, subnet boundaries, routes, and controlled connectivity so cloud workloads communicate without accidental exposure.
Traffic distribution layers
Route requests through health-aware front doors, preserve client context, and diagnose traffic behavior without exposing application instances.
Containers and virtual machines
Compare isolation, packaging, startup, operations, and workload constraints before choosing containers, virtual machines, or both.
Production Dockerfiles
Build reproducible container images with pinned inputs, multi-stage builds, non-root runtime users, clear startup behavior, and supply-chain evidence.
Local development with Compose
Define a safe multi-service local stack with health-aware startup, persistent test data, profiles, and clear reset procedures.
Core Kubernetes workloads
Connect Kubernetes workload units, rollout controllers, and stable network endpoints into one practical application deployment model.
Kubernetes application configuration
Separate ordinary configuration from confidential values, control access, trigger reliable rollouts, and verify how updates reach Pods.
Application autoscaling
Choose demand signals, capacity bounds, warm-up behavior, and load tests that let applications scale predictably without hiding bottlenecks.
Terraform infrastructure as code
Model cloud resources declaratively, review plans, organize modules, and apply changes through a controlled Terraform workflow.
Terraform state and backends
Protect Terraform state, prevent concurrent writes, separate environments, and recover state without unsafe manual editing.
CI/CD pipeline design
Build once, verify an immutable artifact, promote it through protected environments, and retain evidence plus a practiced recovery path.
Blue-green and canary releases
Choose between environment switching and gradual traffic exposure using measurable risk, capacity, state compatibility, and rollback needs.
Logs, metrics, and traces
Instrument services with correlated events, time-series signals, and request traces that answer operational questions without leaking sensitive data.
Service level objectives
Turn user expectations into measurable service indicators, objectives, error budgets, and response rules that guide reliability work.
Cloud cost optimization
Allocate cloud spend, find idle and oversized resources, evaluate commitments, and verify savings without weakening reliability or ownership.
Database backup and restore
Set recovery targets, create protected backups, restore into isolation, validate data and applications, and retain evidence that recovery works.
Disaster recovery planning
Connect business priorities, recovery targets, dependency maps, recovery patterns, and exercises into an executable cloud disaster plan.
Production configuration management
Classify settings, establish authoritative sources, validate changes, protect secrets, and roll production configuration through observable releases.
Diagnose cloud application latency
Bound a latency incident, follow one request across dependencies, test evidence-based hypotheses, and recover without destructive guesswork.