DevOps Engineering

1

DevOps Culture & Fundamentals

What DevOps really is: breaking silos, CALMS, the delivery lifecycle, and how big tech ships software.

2

Linux Fundamentals

The terminal, filesystem, users and permissions, processes and packages — the bedrock of every DevOps role.

3

Linux System Administration

systemd, storage and filesystems, performance analysis, kernel tuning and hardening production servers.

4

Shell Scripting & Automation

Professional Bash: scripting, text processing with grep/sed/awk, error handling and scheduled automation.

5

Networking Essentials for DevOps

TCP/IP, DNS, HTTP/HTTPS and TLS, load balancing, firewalls and the debugging toolbox (dig, curl, tcpdump).

6

Git & Collaboration Workflows

Git internals, branching strategies, trunk-based development, code review and monorepo practices at scale.

1

Python for DevOps Automation

Automation scripts, REST APIs, cloud SDKs, CLI tools and writing maintainable operational Python.

2

Web Servers & Reverse Proxies

Nginx and Apache in production: virtual hosts, reverse proxying, TLS termination, caching and tuning.

3

Continuous Integration Fundamentals

CI principles, pipeline design, build/test gates, artifacts and the fast-feedback culture of elite teams.

4

GitHub Actions in Depth

Workflows, runners, matrices, reusable workflows, OIDC to cloud, caching and securing pipelines.

5

Jenkins & Enterprise CI/CD

Jenkins pipelines as code, shared libraries, agents at scale and operating CI for large organizations.

6

Docker & Containerization

Images, Dockerfiles, registries, networking, volumes and the container fundamentals everything else builds on.

1

Advanced Docker & Container Security

Multi-stage builds, BuildKit, distroless images, image scanning, runtime security and Compose for local stacks.

2

Kubernetes Fundamentals

Cluster architecture, pods, ReplicaSets, Deployments, Services and the kubectl workflow.

3

Kubernetes Workloads & Configuration

ConfigMaps, Secrets, probes, resource management, StatefulSets, DaemonSets, Jobs and autoscaling workloads.

4

Kubernetes Networking & Storage

CNI, Services deep-dive, Ingress, NetworkPolicies, DNS, and persistent storage with PVs, PVCs and StorageClasses.

5

Advanced Kubernetes Operations

RBAC, admission control, operators and CRDs, cluster upgrades, multi-tenancy and running clusters at scale.

6

Helm & Kubernetes Packaging

Charts, templates, values, dependencies, chart repositories and managing releases across environments.

1

GitOps with ArgoCD & Flux

Git as the source of truth: reconciliation, ArgoCD and Flux, environment promotion and drift detection.

2

Cloud Fundamentals: AWS Core Services

IAM, EC2, S3, EBS, RDS and the managed building blocks, with the CLI and well-architected thinking.

3

AWS Networking & Identity

VPC design, subnets and routing, security groups, load balancers, Route 53 and advanced IAM patterns.

4

Cloud Architecture & Landing Zones

Multi-account strategies, landing zones, hybrid connectivity and designing cloud foundations like big tech.

5

Multi-Cloud: Azure & GCP

The Azure and GCP equivalents of the AWS stack, multi-cloud trade-offs and portability strategies.

6

Terraform Fundamentals

HCL, providers, resources, state, variables and modules — infrastructure as code done right.

7

Advanced Terraform & IaC Patterns

Remote state at scale, workspaces, module design, testing, Terragrunt and policy as code for IaC.

8

Configuration Management with Ansible

Playbooks, inventories, roles, idempotency, Vault and automating fleets of servers.

9

Secrets Management & PKI

HashiCorp Vault, cloud KMS, certificate lifecycles, rotation and eliminating secrets from code.

10

Artifact Management & Release Engineering

Registries, semantic versioning, release pipelines, changelogs and reproducible builds.

11

Deployment Strategies & Progressive Delivery

Blue-green, canary, rolling and shadow deployments, feature flags and automated rollback.

12

Observability Foundations

Metrics, logs and traces; SLIs and SLOs; instrumenting systems so you can ask them anything.

13

Prometheus & Grafana

The pull model, PromQL, exporters, recording and alerting rules, Alertmanager and Grafana dashboards.

14

Logging at Scale: ELK & Loki

Structured logging, the ELK stack, Loki, log pipelines, retention and cost-aware log architecture.

15

Distributed Tracing & OpenTelemetry

Spans and context propagation, OpenTelemetry SDKs and the Collector, Jaeger/Tempo and sampling strategies.

16

Site Reliability Engineering (SRE)

The Google SRE model: error budgets, toil, reliability engineering practice and SLO-driven operations.

17

Incident Management & On-Call

On-call done right, severity levels, incident command, runbooks and blameless postmortems.

18

Chaos Engineering & Resilience

Hypothesis-driven failure injection, game days, chaos tooling and building antifragile systems.

19

DevSecOps & Supply Chain Security

Shift-left security: SAST/DAST, dependency and container scanning, SBOMs, signing and SLSA.

20

Cloud & Kubernetes Security Hardening

CSPM, least privilege, Kubernetes hardening (PSS, NetworkPolicies, runtime security) and zero trust.

21

Compliance & Policy as Code

OPA and Gatekeeper, audit trails, change management and meeting SOC2/ISO style controls with automation.

22

Databases in Production

HA and replication, backups and restores that actually work, zero-downtime migrations and connection management.

23

Caching & Messaging Infrastructure

Operating Redis and Kafka in production: clustering, persistence, monitoring and capacity.

24

Performance & Load Testing

Load testing with k6/JMeter, profiling, finding bottlenecks and performance budgets in CI.

25

Capacity Planning & Autoscaling

Forecasting demand, HPA/VPA/cluster autoscaling, queue-based scaling and right-sizing fleets.

26

Disaster Recovery & Multi-Region

RTO/RPO, backup strategies, failover architectures, multi-region patterns and DR testing.

27

FinOps & Cloud Cost Optimization

Cost visibility, tagging, rightsizing, savings plans/spot, unit economics and a cost-aware culture.

28

Platform Engineering & Developer Experience

Internal developer platforms, golden paths, Backstage, self-service infrastructure and platform-as-product.

29

Service Mesh: Istio & Linkerd

Sidecars and ambient mesh, mTLS, traffic management, resilience policies and mesh observability.

30

Serverless & Event-Driven Operations

Lambda-style functions, event buses and queues, operational patterns, cold starts and serverless observability.

31

MLOps & DevOps for AI Systems

Model pipelines, registries, GPU infrastructure, model serving, monitoring drift and LLM operations.

32

Capstone: A Big-Tech Production Platform

Design and assemble a complete production platform end to end: infra, CI/CD, Kubernetes, observability, security and SRE...