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Container data can be lost unless stored in persistent volumes.

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

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

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

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

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

Redis is a fast in-memory data store used for caching and low-latency applications.

Replicas keep your system available, while snapshots allow for data recovery.

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

Elasticsearch uses distributed architecture to search data quickly across multiple servers.

Elasticsearch Data Streams simplify time-series data management with one name for many indices.

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

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

Search engines collect, index, retrieve, and rank documents to provide relevant results.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

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

Elasticsearch offers Data Streams for simplicity and Time-Based Indices for control in managing time-series data.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

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