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

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

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

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

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

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

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

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.

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

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

Container data can be lost unless stored in persistent volumes.

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

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

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

Container networking enables communication between services in different containers.

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

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