Microservices
Microservices architecture is the dominant approach for building large-scale software systems, decomposing applications into independently deployable services. Used by Netflix, Amazon, Uber, and virtually every major tech company, understanding microservices is a required skill for senior backend engineers working on scalable systems.
What is Microservices?
Microservices architecture involves decomposing a monolithic application into small, independently deployable services that communicate via APIs (REST, gRPC) or message queues (Kafka, RabbitMQ). Key concerns include service boundaries (Domain-Driven Design), API gateway patterns, distributed tracing (OpenTelemetry, Jaeger), service mesh (Istio), container orchestration (Kubernetes), and handling the distributed systems challenges (eventual consistency, fault tolerance) that microservices introduce.
Why Microservices matters for your career
Microservices enable independent scaling, deployment, and team autonomy — allowing large engineering organisations to ship faster without coordination bottlenecks. Engineers who understand both the benefits and the significant operational complexity of microservices are in high demand for senior and architect roles.
Career paths using Microservices
Microservices expertise is expected of Senior Backend Engineer, Solutions Architect, Platform Engineer, and Engineering Lead roles at mid-to-large tech companies. It's also relevant for DevOps and SRE roles managing microservices infrastructure.
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Frequently asked questions
Should all applications use microservices?▼
No. Microservices add significant operational complexity and are only beneficial at a certain scale or team size. Starting with a well-structured monolith and extracting services as needed ('modular monolith first') is widely recommended.
What's the hardest part of microservices?▼
Distributed data management — especially maintaining consistency across service boundaries without distributed transactions. This requires understanding eventual consistency, sagas, and event-driven patterns.