Description: Elasticsearch stats exporter for Prometheus
View prometheus-community/elasticsearch_exporter on GitHub ↗
The `prometheus_elasticsearch_exporter` is a Prometheus exporter that collects metrics from Elasticsearch clusters, providing valuable insights into cluster health, performance, and resource utilization. Developed and maintained by the Prometheus Community, it’s a popular and actively supported solution for monitoring Elasticsearch deployments within a Prometheus ecosystem. The exporter is designed to be lightweight, efficient, and easy to integrate, making it a practical choice for organizations of all sizes.
**Core Functionality & Architecture:** The exporter operates as a separate process that connects to one or more Elasticsearch clusters via HTTP. It then scrapes metrics from Elasticsearch using the Elasticsearch API. It primarily focuses on collecting data related to the cluster's state, including the number of nodes, shards, indices, and the status of each index. Crucially, it doesn't require any changes to your Elasticsearch configuration – it simply adds a scraping endpoint to your cluster. The exporter itself is written in Go, leveraging its performance and concurrency features. It’s designed to be deployed alongside your Prometheus server, with the Prometheus server then scraping the exporter's endpoint to collect the Elasticsearch metrics.
**Key Metrics Collected:** The exporter provides a wide range of metrics, categorized for clarity. These include:
* **Cluster Health:** Node status (green, yellow, red), cluster health status, and number of active nodes. * **Index Metrics:** Number of indices, index sizes, index refreshes, and index creation/deletion rates. * **Shard Metrics:** Number of shards per index, shard allocation status, and shard refresh rates. * **Search Metrics:** Search queue length, search execution times, and search hit rates (though this requires careful configuration and may not be suitable for all environments). * **JVM Metrics:** Basic JVM metrics like memory usage and garbage collection statistics (collected from the exporter's own JVM).
**Configuration & Deployment:** The exporter is configured primarily through a YAML file. This file specifies the Elasticsearch cluster connection details (host, port, user, password), the scraping interval, and other settings like the HTTP user credentials. Deployment is straightforward – simply deploy the Go binary alongside your Prometheus server and configure Prometheus to scrape the exporter's endpoint. The exporter supports TLS encryption for secure communication with Elasticsearch. It also offers options for configuring authentication and authorization.
**Advantages & Considerations:** The `prometheus_elasticsearch_exporter` is favored for its ease of use, minimal configuration requirements, and active community support. However, it’s important to note that it primarily focuses on cluster-level metrics. Detailed search performance metrics require more sophisticated configuration and may not be suitable for all use cases. Furthermore, the exporter doesn't provide any insights into individual index performance – that would require a different approach. Regular updates and bug fixes are consistently released by the community, ensuring the exporter remains compatible with evolving Elasticsearch versions. The project’s GitHub repository contains comprehensive documentation, examples, and a vibrant community forum for support.
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