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

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

Fault domains help prevent multiple servers from failing together in an architecture.

Data residency is crucial for compliance with laws about where data can be stored.

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

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

Availability is about access; reliability is about correct performance.

High Availability ensures your application remains operational even during server failures.

A single component's failure can take down your entire application, even with redundancy.

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

Disaster recovery ensures systems can restore services and data after major disruptions.

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

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

Stream Processing Architecture helps turn incoming events into real-time insights efficiently.

Active-passive architecture ensures a standby system takes over if the main system fails.

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

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

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

L4 and L7 load balancers differ in how they route network traffic based on layers of the OSI model.

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

Batch processing collects data to process later, while stream processing handles data in real-time.

The Cache-Aside Pattern speeds up data retrieval by using a cache to store frequently accessed data.

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

Alerting helps notify the right people about production issues quickly.