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

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

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

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

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

Monolithic and microservices architectures each have unique advantages and challenges for software development.

Distributed caching spreads data across multiple servers for better performance and reliability.

Vertical scaling means upgrading one server, while horizontal scaling means adding more servers.

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

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

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

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

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

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

A CDN speeds up web applications by caching content closer to users.

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

Load balancers distribute traffic across multiple servers to enhance performance and reliability.

Timeouts in distributed systems indicate suspicion, not confirmed failure.