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Learn Microservices

Split a system into small, independent services, and know when not to.

Free to start. Built from a single prompt. No credit card.

Microservices is an architectural style where an application is built as a set of small services, each owning one business capability and its own data, deployed independently and communicating over APIs or message queues. Done well, it lets separate teams release on their own schedules and scale busy parts on their own. Done too early, it adds network failures, data consistency problems and operational overhead that a well-structured monolith avoids. Learning it means understanding boundaries, communication patterns and observability, not just containers. Learnr builds a personalized microservices course and teaches it in short lessons with design exercises.

How to learn Microservices, step by step

Build a well-structured monolith first. Write a small app such as an online shop as one codebase with clean internal modules for catalog, orders and payments. Clear module boundaries are the skill microservices depend on.
Learn to find service boundaries. Study bounded contexts from domain-driven design and map which data each part owns. A good service can change and deploy without coordinating with others, so avoid splitting by technical layer.
Practice both communication styles. Connect two services with REST or gRPC, then replace one call with an event on RabbitMQ or Kafka. Notice what changes about coupling, latency and what happens when one side is down.
Handle distributed data deliberately. Give each service its own database and implement an order flow as a saga with compensating actions. Learn the outbox pattern so a database write and its event cannot get out of sync.
Design for failure. Add timeouts, retries with backoff and circuit breakers, then stop a service on purpose and watch the system degrade. Make sure every retried operation is idempotent.
Run and observe the system. Deploy the services with Docker Compose or Kubernetes behind an API gateway and add distributed tracing with OpenTelemetry. Learnr's short daily lessons help the patterns and their trade-offs stick.

What you'll learn

Explain when microservices help and when a monolith is wiser
Draw service boundaries around business capabilities
Choose between synchronous APIs and asynchronous messaging
Keep data consistent across services with events and sagas
Trace, log and monitor requests across several services

What's inside your Microservices course

A sample path Learnr builds for Microservices. Your real course adapts to your goal and level.

1. Monoliths, modular monoliths and microservices
2. Domain-driven design and service boundaries
3. REST, gRPC and asynchronous messaging
4. Data ownership, events and sagas
5. Resilience: timeouts, retries and circuit breakers
6. Deployment, API gateways and observability

How long does it take to learn Microservices?

Understanding the core patterns takes 1 to 2 months at 5 to 8 hours a week for an experienced developer. Designing and operating real microservices well comes from months to years of production experience with distributed systems.

What you need before you start

Solid backend development in at least one language, REST APIs, a relational database and basic Docker. System design fundamentals make the trade-offs much clearer.

Common mistakes to avoid

Starting a new product as microservices before the domain is understood. Begin with a modular monolith and extract services when there is a clear reason.
Sharing one database across services, which couples them as tightly as a monolith. Each service should own its data and expose it through an API or events.
Chaining many synchronous calls per request, so one slow service stalls everything. Use timeouts, caching and asynchronous messaging where possible.

How Learnr builds your course

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Microservices questions, answered

Are microservices always better than a monolith?

No. They trade code complexity for operational complexity. Small teams and young products are often faster with a monolith, while large organizations benefit when teams need to deploy independently.

Do I need Kubernetes for microservices?

No. Kubernetes is a common way to run many services, but they can also run on managed container platforms or virtual machines. The architecture is about boundaries, not a specific tool.