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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.

Kubernetes Ingress allows one entry point for multiple applications, simplifying routing.

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

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

Containers share the host OS kernel, while VMs virtualize hardware with separate OS.

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.

Older offsets can overwrite newer ones in Kafka if not handled properly.