Any concept.
clear in 60 seconds.

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

FAANG engineers use high-level design principles to create scalable systems.

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.

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

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

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

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

gRPC allows efficient communication between services using a structured request-response model.

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

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

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

Service Discovery helps microservices locate each other dynamically without fixed IP addresses.

Choosing between a shared database and a database per service affects system design significantly.

gRPC supports four communication patterns: Unary, Server Streaming, Client Streaming, and Bidirectional Streaming.

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

Request-Response asks for a result, while Events notify that something has happened.

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

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

Protobuf schema evolution requires careful changes to avoid breaking existing clients.

DNS helps microservices find each other, but it has limitations that may require a service registry.

Structured logging helps in quickly identifying issues by organizing log data consistently.

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