DevOps & Site Reliability Engineering (SRE) Track: Comprehensive Learning & Engineering Roadmap
Automate planetary infrastructure: Linux kernel administration, Infrastructure as Code with Terraform, container runtimes, Kubernetes cluster operations, and SRE observability.
Architecture & Competency Framework
This engineering track is structured as a sequential dependency graph. Rather than teaching disparate syntax in isolation, each milestone reinforces mathematical foundations, systems invariants, low-level execution semantics, and production debugging patterns. Developers navigating this roadmap progress from memory models and runtime primitives directly into scalable architectural designs and real-world failure handling.
Phase 1: Foundations
Core execution models, compiler toolchains, memory allocations, and baseline theoretical algorithms.
Phase 2: Concurrency & Networks
Asynchronous event loops, socket multiplexing, threading synchronization, and distributed protocols.
Phase 3: Production Scale
Distributed telemetry, fault tolerance, containerization, performance profiling, and systems tuning.
Curriculum Breakdown & Stage-by-Stage Milestones
1. Linux Kernel & System Administration
Operate modern Linux servers: Linux namespaces, cgroups v2 resource limits, process scheduling priorities, systemd daemon lifecycle, and /proc virtual filesystem auditing.
Key Competencies & Core Topics:
- Linux Namespaces (PID, Mount, Net, IPC) container foundations
- Control Groups (cgroups v2) CPU & Memory Quota Throttling
- Systemd Unit Files, Journald Logging, and Socket Activation
- Network Socket Diagnostics with ss, ip, and iptables/nftables
2. Infrastructure as Code & Immutable Cloud
Automate cloud topologies deterministically: Terraform state locking, reusable HCL modules, drift detection, and GitOps synchronization with ArgoCD.
Key Competencies & Core Topics:
- Terraform Remote State & DynamoDB Distributed Locking
- Modular HCL Architecture & Environment Workspace Isolation
- GitOps Reconciliation Loops with ArgoCD & Flux
- Immutable Infrastructure vs In-Place Configuration Drift
3. Container Runtimes & OCI Standards
Master container internals: Open Container Initiative (OCI) image specs, runc low-level runtime execution, containerd socket communication, and rootless security.
Key Competencies & Core Topics:
- OCI Image Specification: Tar Layers & OverlayFS Union Mounts
- Low-Level Container Execution with runc and containerd
- Rootless Container Execution & User Namespace Mapping
- Container Vulnerability Scanning with Trivy and Grype
4. Kubernetes Production Cluster Orchestration
Operate enterprise Kubernetes clusters: kube-apiserver etcd state, CoreDNS routing, Custom Resource Definitions (CRDs), Ingress controllers, and Horizontal Pod Autoscaling (HPA).
Key Competencies & Core Topics:
- Kubernetes Control Plane Architecture: etcd, Controller Manager & Scheduler
- Custom Resource Definitions (CRDs) & Golang Operator SDK
- Kubernetes Networking Model: CNI Plugins (Cilium / Calico)
- Horizontal Pod Autoscaler (HPA) using Custom Prometheus Metrics
5. SRE Observability & Chaos Engineering
Maintain four nines (99.99%) reliability: Service Level Objectives (SLOs) and Error Budgets, distributed tracing with OpenTelemetry, Prometheus metrics alerts, and Chaos Engineering.
Key Competencies & Core Topics:
- Service Level Objectives (SLOs), SLIs, and Error Budget Policies
- Distributed Tracing: OpenTelemetry W3C Trace Context Propagation
- Prometheus Multi-Dimensional Time-Series & PromQL Alerting
- Chaos Engineering: Injecting Latency and Pod Failures with Chaos Mesh
Hands-on Engineering Practice & Next Milestones
Completing this roadmap equips you with end-to-end fluency across the stack. Practice by writing production tests, profiling CPU cache misses, tracing network packets with Wireshark/eBPF, and benchmarking system throughput under simulated latency.