Hotrod
Foglight for Elasticsearch
Cluster health, indices, and JVM internals at a glance
Description
Elasticsearch is a distributed, RESTful search and analytics engine at the heart of the Elastic Stack. It stores data as JSON documents across shards and replicas, scales horizontally across nodes, and powers everything from full-text search to logging and observability workloads. Operating a healthy cluster means keeping a constant eye on shard allocation, JVM heap pressure, thread pool saturation, and circuit breakers.
Foglight for Elasticsearch is a purpose-built SMA cartridge. Rather than relying on JDBC, its agent communicates with the Elasticsearch HTTP REST API directly, making it a natural fit for managed deployments such as Elastic Cloud Hosted, where it authenticates over Basic auth as the elastic user.
Business Challenge
A single struggling node - a saturated write thread pool, a tripped circuit breaker, or a JVM spending too long in garbage collection - can degrade an entire cluster. Native tooling surfaces these signals in isolation and rarely in the historical context needed to spot a trend before it becomes an outage.
Foglight for Elasticsearch consolidates cluster, node, index, and JVM telemetry into a single console with history, derived health, and rule-based alerting, so operators can correlate symptoms across the whole cluster instead of chasing one node at a time.
Key Features
Treat the cluster as a single health surface. Node, index, and JVM signals roll up so you can answer “is the environment healthy?” without hopping between consoles.
Seven purpose-built dashboards cover cluster health, nodes, indices, memory, thread pools, and circuit breakers — with history and alerting so you can spot a trend before it becomes an outage.
Dashboards
Screenshots
Ready to see Foglight for Elasticsearch in action?
Request a free trial or talk to our engineers about your environment.