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

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

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.

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

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

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

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

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

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

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

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

CQRS separates how we change data from how we read data, improving scalability.

Availability is about access; reliability is about correct performance.

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

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

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

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