role-based roadmap · DevOps
Site Reliability Engineer Roadmap
A beginner-to-job-ready path covering Linux, networking, coding, observability, CI/CD, and SRE principles needed to operate and scale reliable production systems.
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1. Stage 1: Linux & Networking Foundations
Linux Command Line & Administration
SREs live in terminals; Linux is the universal server OS.
Networking Fundamentals (TCP/IP, DNS, HTTP)
Diagnosing outages requires deep network protocol knowledge.
Shell Scripting (Bash)
Automating repetitive ops tasks is a core SRE responsibility.
System Performance Basics
Identifying CPU, memory, and I/O bottlenecks is daily SRE work.
2. Stage 2: Programming & Scripting Proficiency
Python for Automation & Tooling
Python is the dominant language for SRE scripts and tooling.
Go (Golang) Fundamentals
Most SRE-critical tools (Kubernetes, Prometheus) are written in Go.
Git & Version Control
All infrastructure and code changes must be version-controlled.
Data Formats: JSON, YAML, Regex
Config files, APIs, and log parsing all rely on these formats.
3. Stage 3: Containers, Orchestration & Infrastructure as Code
Docker & Containerization
Modern services run in containers; SREs must build and debug them.
Kubernetes
Kubernetes is the standard for deploying and scaling containerized workloads.
Terraform – Infrastructure as Code
Reproducible infrastructure requires declarative IaC tooling.
Cloud Platforms (AWS / GCP / Azure)
Most production infrastructure runs on public cloud providers.
4. Stage 4: Observability – Monitoring, Logging & Tracing
Metrics & Prometheus
SREs measure system health through metrics; Prometheus is the standard.
Grafana for Dashboards
Visualizing metrics enables fast incident detection and review.
Centralized Logging (ELK / Loki)
Logs are essential evidence for diagnosing production failures.
Distributed Tracing with OpenTelemetry
Tracing pinpoints latency sources across microservice boundaries.
5. Stage 5: CI/CD, Release Engineering & Incident Management
CI/CD Pipelines (GitHub Actions / Jenkins)
Reliable, automated deployments reduce human error in releases.
GitOps with ArgoCD / Flux
GitOps makes deployment state auditable and self-healing.
Incident Management & Postmortems
Structured incident response minimizes MTTR and prevents recurrence.
Chaos Engineering
Proactively injecting failures builds confidence in system resilience.
6. Stage 6: SRE Principles, SLOs & Reliability Design
SLIs, SLOs, and Error Budgets
Error budgets balance reliability and feature velocity systematically.
Capacity Planning & Load Testing
Predicting and validating capacity prevents saturation incidents.
Toil Reduction & Automation Strategy
Eliminating toil is the SRE mandate that frees time for engineering.
Security & Compliance Basics for SRE
SREs own production; secure defaults and access controls are essential.
7. Stage 7: Job Readiness & Career Launch
SRE Interview Preparation
System design and coding interviews gate SRE job offers.
Build a Portfolio & Home Lab
Demonstrable projects prove hands-on skills to employers.
Certifications (CKA, AWS SAA)
Recognized certs validate Kubernetes and cloud skills to hiring managers.
Community & Continuous Learning
SRE practices evolve rapidly; community keeps skills current.