SRE Golden Signals Monitoring Guide
Learn the four golden signals of monitoring from Google SRE and how to implement them with Prometheus for reliable production systems.
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Learn the four golden signals of monitoring from Google SRE and how to implement them with Prometheus for reliable production systems.
Learn how to define SLIs, set SLOs, and use error budgets to balance reliability with feature velocity in your engineering team.
Learn how to build, structure, and publish Terraform modules to create reusable, composable infrastructure as code.
Learn how to use HashiCorp Vault to store, access, and rotate secrets securely across your infrastructure and applications.
Automate server configuration with Ansible — inventory, playbooks, modules, roles, and idempotent infrastructure management.
Configure Nginx as a reverse proxy — upstream servers, load balancing, SSL termination, WebSocket support, and caching.
Set up application monitoring with Prometheus and Grafana — metrics, PromQL queries, alerting rules, and building dashboards.
Learn Terraform from scratch — providers, resources, variables, state, modules, and deploying your first infrastructure as code.
Learn how to design CI/CD pipelines for monorepos using affected detection, build graphs, and caching to keep builds fast as the repo grows.
Compare rolling, blue/green, canary, shadow, and feature flag deployments. Learn when to pick each strategy and the trade-offs in risk and cost.
Speed up CI builds with dependency caches, layer caches, remote build caches, and content-addressed storage. Learn what to cache and what to skip.
Keep API keys, tokens, and database credentials safe in CI/CD with rotation, scoping, secret managers, and OIDC-based authentication.
Stop copy-pasting CI YAML across repos. Learn how to build reusable GitHub Actions workflows with inputs, secrets, outputs, and per-environment overrides.
How S3 bucket policies, IAM policies, and ACLs interact, how to write least-privilege bucket policies, and patterns for cross-account access without footguns.
How to run a blameless postmortem that actually improves your systems. Covers the philosophy, the meeting structure, a template you can copy, and the traps that turn a good process bad.
How to design a CI/CD pipeline that stays fast, reliable, and reversible: stages, caching, parallelism, environments, and rollback strategies that scale with the team.
An introduction to chaos engineering: hypothesis-driven failure injection that finds weaknesses before customers do.
Feature flags decouple deploy from release. Learn flag types, rollout strategies, and how to keep your codebase from drowning in stale toggles.
A practical playbook for running production incidents: roles, comms, mitigation order, and the postmortem that turns pain into improvement.
A practical tour of monitoring services with Prometheus for metrics collection and Grafana for dashboards, alerts, and SLO tracking.
A tour of the modern observability stack: metrics, logs, traces, and events. Learn how the pillars fit together and how to choose tooling without drowning in dashboards.
How to write runbooks that on-call engineers actually use at 3am. Covers structure, tone, automation hand-offs, and how to keep runbooks alive instead of letting them rot.
Service Level Indicators, Objectives, and error budgets demystified: how to pick the right metric, set a target, and use the budget as a decision tool.
How Docker multi-stage builds work, why they shrink images dramatically, and patterns for Python, Node, and Go services that need a clean runtime layer.
How Pods, ReplicaSets, and Deployments relate, why you almost never create Pods directly, and how rolling updates and rollbacks actually happen.
Why Terraform state exists, how it maps configuration to real infrastructure, and how to set up remote backends, locking, and workspaces without losing your mind.
Network aliases let containers reach each other under multiple names. Learn how aliases work in Compose, when to use them, and the gotchas to avoid.
A pragmatic comparison of Docker Compose and Kubernetes covering scope, operational cost, and the signals that tell you it is time to graduate.
Healthchecks tell Docker if a container is alive. Restart policies tell it what to do when it is not. Together they keep your services running.
Set up Git LFS to version large binaries like images, models, and datasets without bloating your repository, including tracking, migration, and CI tips.
An honest comparison of Maven and Gradle. Understand their philosophies, performance, ecosystem, and how to choose the right build tool for your Java project.
Learn how Kubernetes init containers work, when to use them for setup tasks, and how to build robust pod initialization pipelines with real YAML examples.
Understand the difference between readiness and liveness probes in Kubernetes, when to use each, and how to configure them safely in production workloads.
Practical patterns for managing Kubernetes Secrets safely: encryption at rest, external secret stores, RBAC scoping, rotation, and avoiding common leaks.
Learn how AWS IAM roles, trust policies, and permissions policies work together. Build a small role from scratch and assume it from another account.
A practical Docker Compose tutorial. Define services, networks, and volumes in one YAML file, then start and stop a full local stack with a single command.
Learn how Docker volumes keep your data alive between container restarts. Compare bind mounts, named volumes, and tmpfs, and see when to use each in real projects.
Compare trunk-based development, gitflow, and GitHub flow. Learn when each strategy fits, how they affect release cadence, and which commands to actually use day to day.
Learn how to store, scope, and rotate secrets in GitHub Actions. Cover repository, environment, and organization secrets, plus OIDC for cloud access without static keys.
Understand the real differences between Deployments and StatefulSets in Kubernetes. Learn which workloads belong in each, with concrete YAML and rollout behavior.
A clear guide to Kubernetes Services. Learn what ClusterIP, NodePort, LoadBalancer, and headless Services do, and when to use each in real clusters.
Write, enable, and debug systemd services on Linux. Learn unit files, dependencies, restart policies, and journalctl logs through a small hands-on example.
Generate strong SSH keys, configure your ~/.ssh/config, lock down sshd, and use agent forwarding and jump hosts to access servers safely without passwords.
A practical roadmap to becoming a DevOps Engineer. Linux, scripting, Docker, CI/CD, Kubernetes, Terraform, AWS, and observability, in the right order.
ArgoCD makes Git the source of truth for your Kubernetes clusters. Learn the GitOps pattern, the App-of-Apps model, and sync strategies that work.
Use the matrix strategy in GitHub Actions to test across Node versions, operating systems, and dependency sets without duplicating workflow files.
Set up NGINX as a reverse proxy for Node, Python, or container backends with the right headers, timeouts, and TLS configuration for production.
Learn the foundations of Terraform: writing HCL, configuring providers, managing state, and creating your first cloud resource the right way.