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

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

Fallbacks allow systems to handle failures safely and maintain user experience.

Synchronous replication waits for confirmation from replicas, while asynchronous allows faster writes without waiting.

Database replication helps keep data available and allows systems to handle more read requests.

Kafka commit strategies determine how offsets are managed during message processing.

Database replication enhances data availability and read performance but has challenges like replication lag.

Write-Ahead Log ensures data is safely recorded before changes are made.

Optimistic and pessimistic locking are strategies to manage database access during concurrent transactions.

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

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

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

Dependency failures can disrupt applications, but resilience patterns can help manage them.