Skip to main content

    MongoDB Observability Made Simple

    Coroot captures every operation on the wire with eBPF and reads MongoDB's own diagnostics to deliver DBA-grade coverage: query performance, replication, oplog, WiredTiger internals, and backups. All with a quick setup.

    eBPF
    TLS support
    Built-in health checks
    Prometheus compatible

    Complete MongoDB Visibility

    Coroot gives you end-to-end insight into MongoDB performance. eBPF captures every operation on the wire, while the engine's own diagnostics explain exactly why the replica set behaves the way it does.

    Full Query Transparency

    See every query shape, its latency, and success rate on the wire - no instrumentation, no driver changes, no overhead.

    Root-Cause Clarity

    Internal metrics pinpoint why performance drops: a lock holder, WiredTiger cache eviction, exhausted concurrency tickets, or a lagging secondary.

    Works With Encrypted Traffic

    Coroot monitors TLS connections safely by observing traffic with eBPF before encryption and after decryption.

    Per-Application Insights

    Understand how each service talks to MongoDB - connection counts, open transactions, and query behavior, broken down by client application.

    Correlation That Matters

    Connect wire-level latency with WiredTiger, replication, and oplog internals for the complete performance story.

    Runs Anywhere

    Works with any replica set - the Percona Operator, self-managed clusters, or managed MongoDB in the cloud - with a quick setup.

    Built-in Health Checks, Zero Configuration

    Beyond query performance, Coroot runs the checks a seasoned DBA would - and tells you the root cause, not just that something is wrong.

    Availability

    Detects an unreachable instance, a replica set with no primary, and members stuck in RECOVERING, ROLLBACK, or DOWN.

    Query latency

    Flags read, write, and command latency regressions seen on the wire and in the engine, and ranks the likely causes.

    Connections

    Warns before you exhaust maxIncomingConnections and names the client application driving a connection storm.

    Replication lag

    Splits lag into blocked vs slow apply and names the cause: a fsyncLock backup, a lock holder, slow disk, or a network partition.

    Oplog window

    Catches an oplog window too small to survive a restart or maintenance, before a member falls off and needs a full resync.

    Saturation

    Detects operations queuing and distinguishes exhausted WiredTiger tickets (storage bottleneck) from a lock holder blocking.

    WiredTiger cache

    Surfaces cache pressure - application-thread eviction and bytes read from disk - when the working set outgrows the cache.

    Checkpoints & journal

    Tracks checkpoint time, journal write rate, and the amount of journal to replay on crash recovery.

    Storage fragmentation

    Estimates reclaimable free space per collection so you know when a compact is worth running.

    Backups

    Catches overdue, failed, or stale backups from the Percona Operator and explains the failure in plain language.

    From Database to Application

    MongoDB doesn't live in isolation. Coroot shows how query performance impacts the services that depend on it.

    Application-Aware Monitoring

    See which services issue the slowest queries and how their behavior changes over time.

    Deployment Correlation

    Instantly connect application releases with shifts in query patterns and database load.

    End-to-End Performance

    Trace latency from the application layer down to MongoDB to understand the full user impact.

    Deep insights into database performance + AI

    See how applications talk to MongoDB and why queries slow down. Every connection, every operation, every bottleneck - visible with minimal setup.

    AI Root Cause Analysis

    When latency or errors spike, Coroot investigates for you: it traces the impact across your services, correlates it with what's happening inside MongoDB, and explains the root cause in plain language. No dashboards to hunt through, no guesswork.

    Query Performance Analysis

    Coroot collects per-query-shape statistics from the database profiler - executions, total time, and documents and index keys examined versus returned - to surface your most expensive queries and spot collection scans and in-memory sorts.

    Query Tracing & Performance

    eBPF captures every MongoDB operation on the wire with detailed tracing - latency heatmaps, error rates, and individual operations per client application - without any driver instrumentation, even over TLS.

    MongoDB Health & Metrics

    Monitor availability, operation latency, connections, replication lag, and the oplog window with real-time charts and built-in health checks. Get instant visibility into replica set health.

    Replication & Oplog

    Track every secondary's lag alongside the oplog window and apply rate. When a member falls behind, Coroot doesn't just alert - it names the cause right in the alert: a fsyncLock backup, a lock holder, a slow disk, or a broken network path, with the evidence charts attached.

    WiredTiger Internals & Saturation

    The engine internals that quietly cause latency: concurrency tickets, queued operations, cache eviction, checkpoints, and journal writes. When operations start queuing, Coroot tells you whether you're out of WiredTiger tickets (a storage bottleneck) or blocked on a lock, and points at the backup, long transaction, or index build responsible.

    Backups & Recovery

    For clusters managed by the Percona Operator, Coroot tracks the backup schedule, point-in-time recovery status, and recent runs, and catches overdue, failed, and stale backups - surfacing the operator's reason when something breaks.

    Logs & Automatic Pattern Detection

    Coroot collects MongoDB logs out of the box and groups similar messages into patterns automatically, turning a flood of noise into a short, ranked list. Errors and warnings are detected without any manual rules, so a recurring lock, a failed authentication, or a dropped connection stands out at a glance.

    Replica-Set & Operator Aware

    Coroot understands how your replica set is run. It detects primary, secondary, and arbiter roles automatically, reads backup state from the Percona Operator, and flags risky configurations.

    Percona Operator

    Backups and point-in-time recovery via Percona Backup for MongoDB, plus cluster status, straight from the custom resources.

    Role detection

    Primary, secondary, and arbiter roles read from the replica set - no labels or manual configuration required.

    Configuration checks

    Flags risky topologies (PSA/arbiter, an even number of voters) and a disabled profiler that would hide per-query stats.

    Works With All MongoDB Deployments

    From Kubernetes replica sets to managed cloud databases - monitor MongoDB anywhere with consistent visibility

    Kubernetes

    Percona Server for MongoDB and self-managed replica sets, with automatic pod and service discovery

    Cloud

    Managed and self-managed MongoDB on any cloud, monitored through a read-only cluster-monitor user

    Self-Hosted

    On-premise replica sets with full observability - queries, replication, WiredTiger, and backups

    Why MongoDB Monitoring Is Usually a Pain

    Traditional monitoring tools only see one side of the story - either application metrics or database internals, but never how they connect.

    Application metrics miss database internals
    You see response times but can't tell if the problem is a collection scan, cache eviction, a lock holder, or a lagging secondary
    Database metrics miss application context
    The profiler shows slow query shapes but not which application or user is affected, or how it reaches the end user
    TLS encryption hides the wire protocol
    Encrypted connections prevent monitoring tools from seeing actual query latency and success rates per client

    How Coroot Solves This

    Coroot's dual-layer approach combines wire protocol capture with MongoDB's own diagnostics for complete visibility.

    1
    eBPF captures the wire protocol: latency & success rates per app
    2
    Diagnostics reveal cache, tickets, locks, replication & oplog
    3
    Correlate both layers for the complete performance picture

    Ready to Monitor Your MongoDB Databases?

    Start monitoring MongoDB with zero configuration. Works with any deployment - from Kubernetes replica sets to cloud managed databases.

    ✓ Zero configuration ✓ TLS monitoring ✓ Open source agent ✓ Prometheus compatible