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‎Follow the Java Express Academy channel on WhatsApp: https://whatsapp.com/channel/0029Va6Sa3xLY6d1kj3VrO1v

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Building microservices isn’t easy. Even in the best of times, you might end up in a mess. But if you have to still build them, it’s better to know some microservices patterns that can make your life easy. Here are 4 must-know patterns for building microservices:  ✅ Database per service - In this pattern, each microservice manages its own data. - This means that no other service can access that data directly. - Communication or exchange of data can only happen through the owner service. - The success of this pattern depends on how well you’ve defined the bounded context of your application.  ✅ Shared Database - Avoid this pattern as much as possible - But sometimes, it’s the only viable option to incrementally move to a microservice architecture. - This approach is lenient in the sense that multiple services use a shared database. - However, it creates a bigger impact surface and chances of run-time issues.  ✅ API Composition - This pattern tries to solve the problem of implementing complex queries in a microservices architecture. - An API Composer invokes other services in the required order. - After fetching the results, it performs an in-memory join of the data before returning it to the caller. - This is an inefficient approach due to in-memory joins on potentially large datasets.  ✅ CQRS + Event Sourcing - Next, we have CQRS - It can help get around the issues with the API Composition Pattern. - An application listens to domain events from other services and updates a separate query database. This makes it easy to serve complex aggregation queries. - CQRS can also be combined with Event Sourcing where you store the state of the entity (aggregate) as a sequence of events. - Of course, this pattern can sometimes be unfamiliar to the developers. At the end of the day, no pattern is perfect. Understand the trade-offs with each pattern and choose what works for your system.

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Docker Commands Cheat Sheet 🐳👨‍💻 As Docker continues to grow in popularity, it's important for developers and ops engineers to know the key Docker commands. This cheat sheet focuses on commands for: • Images - docker build, pull, push • Containers - docker run, start, stop, restart, logs • Networks - docker network create, connect • Volumes - docker volume create • Services - docker service create, logs • Cleanup - docker system prune With these Docker commands, you'll be able to: • Build and share container images • Launch and manage running containers • Network and persist data with volumes • Define and scale services across multiple containers • Clean up unused resources

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Monolithic vs Microservices vs Ntier Architecture Styles https://whatsapp.com/channel/0029Va6Sa3xLY6d1kj3VrO1v/106

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