OpenSearch Incidents Resolved. No War Room Required.
NeuBird reads OpenSearch cluster health, query performance, and indexing metrics to deliver root cause for search and observability infrastructure incidents automatically.
In place
Data queried where it lives, never copied
Every agent
Inherits the connection once it is made
100%
Human-approved actions
Full
Audit trail on every action
Core Capabilities
From signals to solutions
Prevent
Detect OpenSearch degradation before the cluster turns red
NeuBird reads OpenSearch cluster metrics continuously, building baselines for query throughput, indexing rates, JVM heap pressure, and shard balance. It detects GC buildup, disk watermark approach, and shard imbalance before they cascade into cluster instability.
- JVM heap usage and GC pause trend detection
- Shard allocation imbalance and unassigned shard monitoring
- Disk watermark approach detection before indexing throttling begins
Resolve
Root cause for OpenSearch incidents, automatically
When a search failure or log pipeline incident occurs, NeuBird reads OpenSearch metrics, slow logs, and cluster health at the same moment. It determines whether the root cause is a slow query, a JVM GC storm, a node failure, or an upstream indexing overload.
- Slow query and slow indexing log correlation with incident timeline
- Node failure and shard relocation impact tracing
- Indexing backpressure detection correlated with upstream log pipeline failures
Operate
Reduce OpenSearch costs and improve search performance
NeuBird analyzes OpenSearch index patterns, query workloads, and cluster sizing to surface shard optimization opportunities, unused indexes, and over-provisioned data nodes, turning cluster data into actionable efficiency gains.
- Oversized index and hot shard identification
- Over-provisioned node identification and rightsizing guidance
- Query pattern analysis for field mapping and index optimization opportunities
Better Together
OpenSearch + NeuBird
| Capability | OpenSearch | NeuBird |
|---|---|---|
| Cluster health and metrics | ✓ | ✓ |
| Application incident correlation | Manual: requires cross-tool investigation | Automatic: OpenSearch signals linked to app incidents |
| Root cause analysis | Requires OpenSearch expertise | Evidence-based RCA delivered automatically |
| Slow query correlation | Slow log requires manual review | Slow queries correlated with incident timeline |
| Cross-layer analysis | OpenSearch-only visibility | Search + app + infra signals in one investigation |
| Indexing backpressure detection | Metrics available, causality requires manual work | Backpressure linked to upstream pipeline failures automatically |
Ecosystem
Works across your entire stack
OpenSearch is one piece of the picture. NeuBird queries it in place and correlates it with every other connected tool, and every agent in the center inherits the connection.
Databases
- Elasticsearch
- MongoDB Atlas
- Redis
- Snowflake
Observability
- Datadog
- Grafana
- PagerDuty
- Splunk
- OpenSearch Dashboards
Cloud
- Amazon CloudWatch
- Google Cloud Platform
- IBM Cloud
DevOps
- GitHub
- Jenkins
- Terraform
- ArgoCD
FAQ
Common questions
How does NeuBird connect to OpenSearch?
NeuBird connects to OpenSearch via the OpenSearch REST API using scoped, least-privilege credentials. No agents are installed, no configuration changes are required.
Does NeuBird support Amazon OpenSearch Service?
Yes. NeuBird supports both Amazon OpenSearch Service (managed) and self-hosted OpenSearch deployments via REST API access.
Can NeuBird detect when an OpenSearch indexing backlog is causing log pipeline failures?
Yes. NeuBird correlates OpenSearch indexing backpressure metrics with upstream log pipeline signals to identify when search-layer ingestion limits are causing pipeline failures.
What OpenSearch metrics does NeuBird read?
NeuBird reads cluster health status, node JVM heap and GC metrics, search and indexing latency, slow query logs, shard allocation state, disk usage, and indexing backpressure indicators.
Get Started
Connect OpenSearch to the center.
OpenSearch gives you the data. Connect it to NeuBird once, and every agent that touches production inherits it, including the ones you build yourself.