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

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

API pagination helps manage large datasets by breaking them into smaller parts.

CDC with Kafka allows real-time updates from databases to multiple services.

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

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

Consistency models determine what data reads in distributed systems can see.

Container data can be lost unless stored in persistent volumes.

Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

Kafka uses retention to keep historical data and compaction to keep the latest state.

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