DevOps foundations
Start at a Linux prompt and finish by repairing a Kubernetes rollout. Every module ends with evidence you can explain in an interview.
11 modules · 66 topics · 6 labs
Browser simulations today. Disposable Linux and Kubernetes environments are the next infrastructure phase.
Unlocked by the Academy Cloud + DevOps plan or Pro.
CHECKPOINT 01
Reason about how a request reaches a service, and debug an unreachable endpoint layer by layer.
IP addressing and subnets
Ports, TCP and UDP
DNS resolution
HTTP and TLS
Routing, NAT and firewalls
Packet capture and diagnosis
Portfolio proof
Trace a failing service call from client to server and pinpoint the broken layer with evidence.
CHECKPOINT 02
Inspect an unfamiliar server, repair common failures, and explain what changed.
Shell navigation
Files and permissions
Users and groups
Processes and services
Packages
Logs, disk and networking
Portfolio proof
Produce a server health report and restore a failed web service from evidence.
CHECKPOINT 03
Turn a repeated operational task into reviewed, testable automation.
Bash variables and quoting
Exit codes and pipes
Functions and arguments
Git commits and branches
Pull requests
CI workflows and secrets
Portfolio proof
Build a safe deployment-check script and run it in a pull-request workflow.
CHECKPOINT 04
Design a pipeline that builds, tests and ships on every change, with secrets kept out of logs.
Workflows, jobs and triggers
Runners and matrix builds
Caching and artifacts
Secrets and OIDC
Reusable workflows
Deployment gates and environments
Portfolio proof
Build a pull-request pipeline that tests, scans and blocks the merge on any failure.
CHECKPOINT 05
Build, run, connect, inspect and secure a containerized application.
Images and containers
Dockerfiles
Layers and build cache
Volumes and networks
Compose
Image and runtime security
Portfolio proof
Package a small API and database with Compose, health checks and a non-root image.
CHECKPOINT 06
Deploy a workload, expose it safely, and diagnose why a rollout is unhealthy.
Pods and Deployments
Services and ingress
Config and secrets
Probes and resources
Storage and scaling
RBAC and network policy
Portfolio proof
Ship the containerized API to a local cluster with safe defaults and a rollback runbook.
CHECKPOINT 07
Package a Kubernetes app as a reusable chart and run safe upgrades and rollbacks.
Charts and releases
Templates and values
Dependencies and subcharts
Hooks and tests
Upgrades and rollbacks
Repositories and packaging
Portfolio proof
Convert raw manifests into a parameterised chart and perform a versioned upgrade with rollback.
CHECKPOINT 08
Provision and change cloud infrastructure declaratively, safely, and reproducibly.
Providers and resources
Variables and outputs
State and locking
Modules
Plan, apply and drift
Remote state and workspaces
Portfolio proof
Provision a small VPC and service with a reusable module, then detect and reconcile drift.
CHECKPOINT 09
Automate operational work in Python — parsing, APIs, shell orchestration and cloud SDKs.
Python essentials for ops
Files, JSON and YAML
Calling REST APIs
Running shell commands safely
Cloud SDKs (boto3)
Packaging and error handling
Portfolio proof
Write a resilient script that audits cloud resources via SDK and reports drift from policy.
CHECKPOINT 10
Ship small, fast operational tools as single static binaries.
Go basics for tooling
CLI flags and config
HTTP clients and services
Running system commands
Concurrency for parallel work
Cross-compiled static binaries
Portfolio proof
Build a concurrent health-check CLI and cross-compile it to a single portable binary.
CHECKPOINT 11
Instrument a service and use its signals to detect, diagnose and prevent incidents.
Logs, metrics and traces
The four golden signals
Dashboards and alerts
SLOs and error budgets
Incident response basics
Blameless postmortems
Portfolio proof
Instrument a service with metrics and alerts, then run a mock incident through to a written postmortem.
What this is
This is an original KnightVerse learning route inspired by the industry-standard DevOps progression. It does not reproduce another provider’s lessons. Lab terminals are deterministic simulations and are labelled as such.
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