Structured, phase-by-phase tutorials for Kubernetes, Terraform, and 66+ other DevOps, cloud, and AI/ML tools — each with real topics, not a generic checklist.
Install, spin up a local cluster, deploy, expose, scale, roll out, and debug — all hands-on.
From your first container to lean, secure multi-stage images and multi-service Compose stacks.
Declare infrastructure, master state, build reusable modules, and collaborate with remote state.
Scrape metrics, write PromQL, record rules, alert with Alertmanager, and harden for production.
Wire up data sources, build panels, template with variables, alert, and manage dashboards as code.
GitOps for Kubernetes — deploy from Git, auto-heal drift, roll back, and scale to many apps.
Agentless automation — idempotent playbooks, templates, secrets with Vault, and reusable roles.
Build CI/CD with events, jobs, matrices, caching, secrets, environments, and secure deploys.
Package Kubernetes apps — install charts, template your own, manage values, and roll back safely.
Master the three trees, branch and merge, rebase vs merge, undo anything safely, and a PR workflow that scales.
Filesystem, permissions, processes and signals, the text-processing toolkit, systemd, and troubleshooting reflexes.
Pipeline-as-code with stages, triggers, credentials, parallel matrices, agents, and shared libraries.
Write safe, reusable scripts — quoting, exit codes, loops, functions, strict mode, and shellcheck habits.
The mental model that matters — IAM, VPC networking, compute, S3, cost guardrails, and a security baseline.
Centralize secrets — KV, least-privilege policies, auth methods, dynamic credentials, and Transit encryption.
Serve static files, reverse-proxy apps, terminate TLS, load-balance, cache, rate-limit, and harden.
Environments, the scripting toolkit, calling cloud/K8s APIs, testing, and packaging installable CLIs.
The cloud-native language — types, errors, goroutines, an HTTP service, and tiny static container images.
Memory safety without a GC — ownership, enums/match, Result, traits, fearless concurrency, static binaries.
Index documents, write queries and aggregations, map fields, ingest logs, and scale with shards.
Columnar analytics at scale — MergeTree and sort keys, batch loads, materialized views, partitioning, and TTL.
Capture packets, read TCP flags, write BPF filters, save to pcap, and debug which side of the wire is broken.
Event-driven autoscaling — scale on queues, Kafka lag, PromQL, or cron, all the way to zero, with ScaledObjects/Jobs.
Kubernetes policy-as-code in YAML — validate, mutate, generate, verify images, and roll out audit-then-enforce.
General-purpose policy with Rego — evaluate decisions, guard Kubernetes via Gatekeeper, and test configs with conftest.
Chaos engineering on Kubernetes — inject pod, network, and stress faults with a hypothesis and a small blast radius.
Vendor-neutral traces, metrics, and logs — instrument once, run the Collector, propagate context, and sample smartly.
Cloud governance as YAML — find and remediate untagged, public, idle, or unencrypted resources with filters and actions.
ML on Kubernetes — pipelines, distributed training operators, Katib tuning, and KServe serving for reproducible MLOps.
Orchestrate data pipelines as code — DAGs, the TaskFlow API, operators/connections, idempotent runs, and executors.
Extend Kubernetes — CRDs plus a controller and the reconcile loop, level-triggered and idempotent, with Kubebuilder.
Load testing as code — virtual users, checks, SLO thresholds that gate CI, realistic load profiles, and custom metrics.
Reliable end-to-end browser testing — resilient locators, auto-waiting, auth reuse, network mocking, and the trace viewer.
Security in every stage — shift left, SAST/DAST/SCA, secrets and policy-as-code, a fail-fast pipeline, and the metrics that prove it works.
Fast SAST with code patterns, not regex — run scans, write custom rules and taint mode, autofix, and gate CI on the diff.
One scanner for images, filesystems, IaC misconfig, secrets, and SBOMs — filter to fixable CVEs and gate CI on severity.
SBOM-first vulnerability scanning with Syft — scan images and SBOMs, filter fixable findings, and fail the build on Critical.
Stop secrets before they leave your laptop — pre-commit hooks, history scans, custom rules, baselines, and the leak response.
Secret scanning that verifies whether a key is live — scan Git, S3, and images, and gate CI only on confirmed-working credentials.
Phase-by-phase paths from fundamentals to certification — pick a tool to follow its full learning path.