A Prometheus exporter that collects and exposes memcached server metrics for monitoring and alerting.
Memcached Exporter is a monitoring agent built for the Prometheus ecosystem that collects performance metrics from memcached caching servers. It translates memcached's internal statistics into a format Prometheus can scrape, solving the problem of monitoring cache hit rates, memory usage, connection counts, and eviction rates in a distributed system. It acts as a bridge between the simple stats interface of memcached and the powerful querying and alerting capabilities of Prometheus.
DevOps engineers, SREs, and backend developers who operate memcached clusters and need to monitor their performance, health, and resource utilization as part of a Prometheus-based observability stack.
Developers choose this exporter because it is the official, maintained solution from the Prometheus project, ensuring reliability and compatibility. It provides incredibly detailed metrics out of the box, supports secure and scalable multi-target scraping, and integrates seamlessly into existing Prometheus deployments without requiring custom metric collection scripts.
Exports metrics from memcached servers for consumption by Prometheus.
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Exports over 70 metrics, including slab-level LRU crawler activity and command breakdowns, providing unmatched visibility into memcached performance beyond basic stats.
Supports the Prometheus multi-target pattern via a /scrape endpoint, allowing a single exporter to monitor dynamic memcached clusters, as demonstrated with Elasticache service discovery.
Offers TLS and basic authentication for the exporter's web endpoint and TLS for memcached connections, ensuring secure deployment in production environments.
Maintained by the Prometheus project, guaranteeing reliability, regular updates, and seamless compatibility with the Prometheus ecosystem.
Designed exclusively for Prometheus, making it useless for teams using other monitoring tools like Datadog or Graphite without significant integration effort.
Requires manual setup for TLS, authentication, and multi-target scraping using external configuration files, adding complexity compared to plug-and-play agents.
While metrics are comprehensive, users must build their own Grafana dashboards or alerting rules from scratch, lacking out-of-the-box templates for quick starts.