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The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Choosing the right boundaries for microservices is crucial for effective architecture.

Container data can be lost unless stored in persistent volumes.

The Saga Pattern manages distributed transactions using local transactions and compensating actions.

ZooKeeper coordinates distributed systems using an ensemble of servers and the ZAB protocol.

Stream Processing Architecture helps turn incoming events into real-time insights efficiently.

Observability helps engineers understand system behavior to debug production issues effectively.

Microservices can communicate using five key patterns based on their needs.

Distributed backpressure helps manage the flow of work between services to prevent overload.

A single component's failure can take down your entire application, even with redundancy.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Database per Service ensures each microservice owns its data, reducing dependencies.