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

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

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

Choosing between single and multi-region architecture affects system resilience and cost.

Data Lakehouse architecture merges flexible data storage with reliable analytics capabilities.

FAANG interviewers evaluate problem understanding, architecture, scalability, and communication skills.

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

Availability is about access; reliability is about correct performance.

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

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

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

Availability Zones help prevent downtime by isolating failures across multiple locations.

Containers share the host OS kernel, while VMs virtualize hardware with separate OS.

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

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

Container networking enables communication between services in different containers.

Data lakes store large volumes of diverse data for analytics and processing.

Container data can be lost unless stored in persistent volumes.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

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

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

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