Any concept.
clear in 60 seconds.

Stateless servers are easier to scale because they don't store user session data locally.

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

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

REST API design focuses on creating clean, efficient, and scalable web services.

The choice between SQL and NoSQL databases depends on your application's specific needs.

Sharding splits databases into smaller parts to improve performance and scalability.

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

Database replication enhances data availability and read performance but has challenges like replication lag.

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

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

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

Scaling databases involves deciding whether to enhance read or write capabilities based on traffic patterns.

Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

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

Consistent hashing helps distribute data across servers with minimal movement.

Apache Kafka is a system for managing large volumes of events efficiently.