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

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

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

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.

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

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

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

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

Global Load Balancing helps route users to the nearest and healthiest server region.

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

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

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

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

Container data can be lost unless stored in persistent volumes.

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

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