Speed up your web applications with Memcached monitoring
Datadog | The Monitor blog

Speed up your web applications with Memcached monitoring


Summary

This article details how to collect metrics from AWS ElastiCache, covering both Redis and Memcached engines. It explains using both native ElastiCache metrics via CloudWatch and more granular, engine-specific metrics exposed through commands like `INFO` (Redis) and statistics available via the client library (Memcached). Ultimately, it guides readers on monitoring key performance indicators to ensure optimal ElastiCache cluster health and performance.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 206 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 178 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 107 views