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The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.

Distributed tracing helps track requests across microservices to find delays.

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

Cascading failures occur when one service's failure impacts others, causing widespread issues.

The Circuit Breaker pattern controls service calls to prevent failures from spreading.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

Fallbacks allow systems to handle failures safely and maintain user experience.

A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

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

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

Microservices and modular monoliths differ mainly in deployment and communication methods.

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

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

Message queues allow services to communicate asynchronously, improving scalability and reliability.

REST, RPC, and gRPC are different methods for communication in software systems.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Partial failure means some services fail while others keep running, impacting system reliability.

Distributed locks ensure only one server performs a task, avoiding duplication.

Graceful shutdown in Kafka ensures no data loss during consumer termination.

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

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

API Gateway, Proxy, and Load Balancer serve different roles in managing requests and traffic in systems.

An API Gateway simplifies client access to backend services in microservices.

A reverse proxy routes client requests to different backend services efficiently.