skill-based roadmap · Architecture
Microservices Roadmap
A beginner-to-job-ready path covering microservices architecture, design patterns, communication, containers, orchestration, observability, and security.
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1. Stage 1: Foundations
How the Web & HTTP Work
Microservices communicate over HTTP; fundamentals are essential.
REST API Design
REST is the dominant protocol for inter-service communication.
Linux & Command Line Basics
Servers and containers run on Linux; CLI skills are mandatory.
Choose a Backend Language
You need a language to build services (Node.js, Go, Java, Python).
2. Stage 2: Monolith vs Microservices & Architecture Fundamentals
Monolithic vs Microservices Architecture
Understanding the trade-offs drives every architectural decision.
Domain-Driven Design (DDD) Basics
DDD defines bounded contexts that map to individual services.
12-Factor App Principles
These principles make services portable and cloud-native.
API Gateway Pattern
A gateway provides a single entry point for all client requests.
3. Stage 3: Containers & Orchestration
Docker Fundamentals
Containers are the standard deployment unit for microservices.
Docker Compose for Multi-Service Dev
Compose lets you run multiple services locally with one command.
Kubernetes Fundamentals
Kubernetes is the industry standard for orchestrating microservices.
Helm Charts
Helm packages Kubernetes manifests for repeatable deployments.
4. Stage 4: Communication & Data Patterns
Synchronous Communication & gRPC
gRPC offers high-performance typed RPC for inter-service calls.
Asynchronous Messaging with Kafka
Message queues decouple services and enable event-driven flows.
Saga Pattern & Distributed Transactions
Sagas maintain data consistency without distributed ACID transactions.
Database per Service Pattern
Each service owning its data prevents tight coupling.
CQRS & Event Sourcing
CQRS separates reads from writes for scalability and auditability.
5. Stage 5: Observability & Resilience
Structured Logging
Centralized logs are the first tool for debugging distributed systems.
Distributed Tracing
Traces reveal latency bottlenecks across service call chains.
Metrics & Prometheus + Grafana
Metrics expose service health and trigger automated alerts.
Circuit Breaker & Retry Patterns
Resilience patterns prevent cascading failures across services.
6. Stage 6: Security & Service Mesh
OAuth 2.0 & JWT for Service Auth
Secure inter-service and client-to-service authentication is critical.
mTLS & Zero-Trust Networking
Mutual TLS encrypts and authenticates all inter-service traffic.
Service Mesh with Istio or Linkerd
A service mesh handles traffic management, mTLS, and observability.
Secrets Management with Vault
Centralized secrets management prevents credential sprawl.
7. Stage 7: CI/CD, Cloud & Job Readiness
CI/CD Pipelines for Microservices
Automated pipelines enable independent per-service deployments.
Infrastructure as Code with Terraform
IaC provisions cloud resources reproducibly and at scale.
Cloud Platforms (AWS/GCP/Azure)
Major cloud providers offer managed services that accelerate microservices.
System Design for Microservices Interviews
Senior roles require you to design scalable distributed systems on-the-spot.