Any concept.
clear in 60 seconds.

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

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

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

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

Cache penetration occurs when requests for non-existent data overload the database.

Availability is about access; reliability is about correct performance.

Distributed locks ensure only one server performs a task, avoiding duplication.

The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

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

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

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