Marcin Grzejszczak

Cohort 1

Cohort 2

Have you seen microservices with mqtt? How to test those? Check out this video!

Microservices and MQTT?


When two apps talk to each other so many things can go wrong... Have you ever integration tested their communication? Are you really sure that the tests are telling the truth? Learn about contract testing from me, the maintainer of Spring Cloud Contract :)

Integration testing microservices

When dealing with microservices it's difficult to do proper testing. Especially when you're doing message based communication - have you actually considered all scenarios when transactions come into play? Check this video for more information :)

Testing your messaging application

Either for a monolith or a microservice you need observability. You need to know what is going on with your application. In this video you can learn how to do observability of Java applications.

Application observability


Microservices are great...but are they? Should you always use them? When should you actually avoid using microservices? Let's look at some research papers related to the topic.

When to avoid microservices?


Although it's been 7 years since I did this presentation some things haven't changed... Those are the concepts behind doing zero downtime deployment with microservices! You can check out my presentation from Spring.IO conference where I've been talking about the said topic :)

Doing zero downtime deployment with microservices

Learn how to do Java Microservices with Spring with the Spring Framework and Micrometer committer.

OSS / Author / Mentor / Trainer

Java Champion, authored of over 150 presentations and workshops. OSS committer.

Java Microservices with Spring

Senior Test Automation Engineer

Diagnose, fix, and prevent the distributed systems failures that every AI coding agent creates - in any language.

Java Champion/OSS/Microservices expert

Broadcom Inc.

VMware

SpringCentral

Java Champion · Creator of Spring Cloud Sleuth & Spring Cloud Contract

AI is rewriting how backend teams build services. The developers who thrive won't be the ones who generate code fastest - they'll be the ones who catch what AI gets wrong.Every AI coding agent - Copilot, Cursor, Claude Code -makes the same distributed systems mistakes. Hardcoded service URLs. No circuit breakers. Missing trace propagation. No timeouts.The gap between "it compiles" and "it survives production" is growing, because AI makes bad code look professional. And no tutorial or YouTube video puts you in front of actual broken infrastructure to practice.This workshop does. You'll generate real multi-service systems with AI tools, then debug them against real failures - latency, flaky services, cascading outages. Any language, any framework.You'll diagnose issues, build missing pieces and write AI instruction files that encode your architecture standards. You'll leave with a production-readiness checklist, a battle-tested rules file, and the instinct to spot what AI misses - before your users do.<a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/forms/e8d298">Please fill out the survey</a> and help me out to prepare the perfect syllabus!IMPORTANT: Course syllabus still can change depending on the survey results

AI generates code fast. It generates distributed systems failures even faster.

Diagnose cascading failures across service boundaries

Build resilience patterns that survive chaos

Instrument full observability across distributed services

Write AI rules files that enforce your architecture standards

Validate AI-generated code with contracts and chaos scenarios

Debug distributed systems confidently in any language or stack

Mid-level backend developer adopting AI coding tools who wants to know what to trust and what to fix before shipping to production.

Senior engineer or tech lead responsible for system reliability whose team already generates code with AI but ships gaps.

Developer working across multiple languages and stacks who wants distributed systems skills that transcend any single framework.

HeroDevs

The training introduces participants to microservices, discussing key concepts of dependency management and project generation. Participants learn how to create projects, manage configuration, and refresh the application configuration as it runs. Participants will also focus on microservices communication. They will learn about service discovery, HTTP resilient communication and message-based communication. Practical exercises include creating HTTP applications, using circuit breakers and writing API gateways. The training also focuses on application observability. Participants learn to monitor applications, create metrics, track distributed systems and test stability using chaos engineering. The training also covers the use of feature toggles.

Learn how to do Microservices with Spring with Spring committer

Understand core microservices concepts and dependency management.

Build and configure microservice projects with dynamic config refresh.

Implement service discovery and resilient HTTP communication.

Design message-based communication and API gateways.

Apply observability: metrics, monitoring, and distributed tracing.

Improve reliability using chaos engineering and feature toggles.

Medium knowledge of Java

To use Spring Cloud you need to know basics of Spring Boot

Basic knowledge of Spring Boot

Developers who want to learn how to do microservices

Architects who want to understand how to build resilient systems

Technical Leaders who want to drive changes

Watch AI Build a Microservice. Watch Me Break It in 60 s

Java Champion, distributed systems expert. Blogs at TooMuchCoding.com

Identify missing timeouts, retries, and resilience patterns in AI-generated microservices.

Spot Production Risks in AI-Generated Services

See how small network delays can exhaust threads and take down dependent services.

Understand Cascading Failures from Latency

Learn when to use timeouts, circuit breakers, and fallbacks in distributed systems.

Apply Core Resilience Patterns

Business won't wait, the platform won't either

Java Champion, ex-Spring Cloud & Micrometer team member

I show how platform teams reduce cognitive load and enable teams via automation, self-service and standards

Platform teams as business accelerators

Using real org examples, I explain how to define platform goals, success metrics and feedback loops

From cost center to internal product

I show why microservices need a platform to succeed.

I've got microservices... now what?

Observability of your Application

Java Champion, maintainer of Spring Cloud, Micrometer projects

Learn how to identify performance bottlenecks and common runtime issues in modern distributed systems.

Diagnose Latency and Errors in Real-World Applications

Understand how to instrument your application using Micrometer to gain visibility into performance and behavior.

Use Micrometer to Correlate Metrics, Traces, and Logs

Learn how to interpret logs, traces, and metrics together to efficiently locate and resolve production issues.

Learn directly from Marcin Grzejszczak

Marcin Grzejszczak

About Marcin

Courses

Generate, Break, Fix: Distributed Systems in the AI Era