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MongoDB Atlas IntegrationDATABASE

Database Root Cause. Without the DBA War Room.

NeuBird reads MongoDB Atlas metrics, slow query logs, and replication health to tell your team exactly why the application is slow, before the incident escalates.

Slow Query Detection
Replication Lag Monitoring
Connection Pool Analysis
Index Efficiency Analysis
Oplog Health Tracking
Query Pattern Anomaly Detection
Cross-Layer Incident Correlation
Atlas Cluster Health
Storage & Growth Analysis

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

Catch MongoDB performance degradation before queries break

NeuBird reads Atlas metrics and query patterns continuously, learning normal behavior for your clusters. It surfaces slow query trends, connection pool exhaustion risk, replication lag creep, and missing indexes before they cause application-layer incidents.

  • Slow query trend detection before threshold breach
  • Connection pool exhaustion risk identification
  • Replication lag drift monitoring across replica sets

Resolve

Know in minutes whether MongoDB is the root cause

When an application incident fires, NeuBird checks MongoDB Atlas simultaneously, reading slow query logs, connection counts, replication health, and cluster metrics. It tells your team definitively whether the database is the root cause or a downstream victim.

  • Automatic database vs. application layer causality determination
  • Slow query fingerprinting correlated with application latency spikes
  • Replica set and sharding health correlated with read/write errors

Operate

Improve query performance and reduce Atlas spend

NeuBird analyzes Atlas query patterns, index usage, and cluster sizing over time to identify optimization opportunities (missing indexes, inefficient aggregations, over-provisioned clusters) before they become performance or cost problems.

  • Missing index and collection scan detection
  • Over-provisioned Atlas tier identification
  • Query pattern analysis to surface high-frequency slow operations

Better Together

MongoDB Atlas + NeuBird

CapabilityMongoDB AtlasNeuBird
Slow query detection
Application incident correlationManual: requires cross-tool investigationAutomatic: NeuBird links DB signals to app incidents
Root cause determinationRequires DBA expertise to interpretEvidence-based root cause with supporting data
Replication health correlationVisible in Atlas UI, not linked to incidentsCorrelated with application errors automatically
Cross-layer analysisAtlas-only visibilityDB + infra + app signals correlated in one investigation
Index recommendationsPerformance Advisor suggestionsRecommendations tied to active incident impact

Ecosystem

Works across your entire stack

MongoDB Atlas 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

  • Redis
  • Elasticsearch
  • OpenSearch
  • Snowflake
  • InfluxDB

Observability

  • Datadog
  • Grafana
  • PagerDuty
  • Splunk
  • New Relic

Cloud

  • Amazon CloudWatch
  • Google Cloud Platform
  • IBM Cloud

DevOps

  • GitHub
  • Jenkins
  • Terraform
  • ArgoCD

FAQ

Common questions

How does NeuBird connect to MongoDB Atlas?

NeuBird connects to MongoDB Atlas via the Atlas API using scoped, least-privilege programmatic API keys. No agents are installed, no schema changes are required, and no write access is needed.

Does NeuBird work with self-hosted MongoDB, or only Atlas?

The current integration focuses on MongoDB Atlas. Self-hosted MongoDB support depends on whether metrics are exposed via a compatible API or observability platform like Datadog.

Can NeuBird tell me if MongoDB is the root cause of an application incident?

Yes. This is a core use case. NeuBird reads Atlas metrics and logs at incident time and determines whether the database layer is causal or merely showing downstream effects.

What Atlas metrics does NeuBird read?

NeuBird reads query execution times, slow query logs, connection pool metrics, replication lag, oplog window, disk IOPS, and cluster CPU and memory utilization.

Get Started

Connect MongoDB Atlas to the center.

MongoDB Atlas gives you the data. Connect it to NeuBird once, and every agent that touches production inherits it, including the ones you build yourself.