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

The USE Method helps find and analyze infrastructure bottlenecks in software systems.

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

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Availability is about access; reliability is about correct performance.

2-Phase Commit helps maintain data consistency in transactions across multiple databases.

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

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

Caching helps applications respond faster by serving data from memory instead of hitting the database.

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

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

Latency is the time for one request, while throughput is how many requests are processed.

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

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

DNS resolution translates a URL into an IP address for web access.

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