Expert Built OpenSearch Monitoring
Monitor and optimize all OpenSearch metrics (nodes, indices, shards, knn and more) with powerful dashboards and expert-built monitoring tools designed to optimize health, performance and cost.
Whether you run a self-managed OpenSearch setup or use a managed solution like Amazon OpenSearch Service, understanding OpenSearch metrics can quickly become overwhelming. From shard allocation to node statistics, JVM metrics, and thread pool behavior, there's a lot to monitor - and default tools often fall short when it comes to ensuring reliable performance.
Pulse simplifies OpenSearch monitoring by offering real-time visibility into every index or shard, across your opensearch cluster. But it does more than that. Pulse will provide root-cause analysis for alerts and bottom lines for cluster performance and cost optimization.
Optimizing Search and Analytics For Leading Brands
Dashboards and Monitoring Tools for Key OpenSearch Metrics
Our dashboards give you real-time insights into your cluster by tracking key performance metrics such as shard allocation, index growth, thread pool activity, memory usage, and node performance.
Pulse includes a collection of dashboards designed not just for visualization but for action. These dashboards highlight misconfigurations, identify bottlenecks, and surface anomalies before they affect users. Monitor CPU and heap usage, JVM metrics, garbage collection trends, and unassigned shards with precision. You can also explore OpenSearch index behavior, monitor shard relocation, and analyze query patterns.
Cluster Health Monitoring for OpenSearch Use Cases
Monitoring cluster health is critical for maintaining stability and scalability. Pulse provides comprehensive tracking of cluster state, node statistics, and health metrics to identify misconfigurations and performance bottlenecks before they cause disruption.
Smart Alerts to Monitor OpenSearch and Key Metrics
Traditional alerting often floods your inbox with noisy warnings. Pulse uses intelligent alerting to track real anomalies across essential metrics like CPU usage, JVM memory, heap pressure, unassigned shards, and slow queries - so you're notified only when it matters.
Our alerting engine analyzes behavior across nodes, thread pool saturation, memory usage, and shard behavior. It flags risks such as when one or more shards go unresponsive or when a node is added or removed. You can configure alerts for specific patterns, spikes, or instability within your cluster.
Pulse integrates with Slack, GitHub, Logstash, and Teams, allowing alerts to trigger workflows through RESTful APIs. Stay focused while ensuring your monitoring stack delivers high availability and continuity.
Expert Support for OpenSearch 24/7
When automation isn't enough, our OpenSearch experts step in. Pulse combines real-time monitoring with hands-on expertise to resolve complex issues - from thread pool saturation to memory spikes and shard imbalance.
We help you optimize queries, adjust JVM behavior, fine-tune node roles, and ensure your OpenSearch environment is resilient. Whether you're managing log pipelines, scaling API infrastructure, or tuning an engine-based application, our support adapts to your OpenSearch use cases.
Speak to Our OpenSearch Specialists
Ready to take control of your OpenSearch deployment? Our specialists help you configure monitoring tools, identify what's important to monitor, and optimize every OpenSearch node, index, and shard.
Speak with us today to learn more about OpenSearch and how Pulse helps you monitor in OpenSearch with clarity and confidence.