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The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.

The USE Method helps find and analyze infrastructure bottlenecks in software systems.

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.

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

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

You can update Elasticsearch indices without downtime using alias switching.

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

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