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    PostgreSQL Observability Made Simple

    Coroot captures every query on the wire with eBPF and reads PostgreSQL's own system views to deliver DBA-grade coverage: query performance, replication, backups, autovacuum, bloat, and wraparound. All with a quick setup.

    eBPF
    SSL/TLS support
    Built-in health checks
    Prometheus compatible

    Complete PostgreSQL Visibility

    Coroot gives you end-to-end insights into PostgreSQL performance. eBPF captures every query on the wire, while system views explain exactly why the database behaves the way it does.

    Full Query Transparency

    See every query, its latency, and success rate without adding extensions or overhead.

    Root-Cause Clarity

    System views pinpoint locks, I/O bottlenecks, and CPU-heavy queries so you know why performance drops.

    Works With Encrypted Traffic

    Coroot monitors SSL/TLS connections safely by observing traffic before encryption and after decryption.

    Per-Application Insights

    Understand how each service communicates with PostgreSQL, from connection patterns to query behavior.

    Correlation That Matters

    Connect network-level latency with internal PostgreSQL metrics for the complete performance story.

    Runs Anywhere

    Works with any PostgreSQL deployment, from managed cloud services to self-hosted clusters, without extra configuration.

    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 when an instance stops accepting connections or a primary goes missing.

    Query latency

    Flags latency regressions and error-rate spikes seen on the wire.

    Connections

    Warns before you exhaust max_connections and surfaces idle-in-transaction sessions.

    Replication

    Splits lag into WAL shipping and apply, and catches paused or disconnected replicas.

    WAL archiving

    Alerts on archiver failures so point-in-time recovery never silently breaks.

    Checkpoints

    Spots checkpoints that stall or fall behind, with timed vs requested breakdown.

    Transaction ID wraparound

    Tracks XID and multixact age and names the transaction pinning the freeze horizon.

    Autovacuum

    Shows when autovacuum falls behind and why: disabled, throttled, slow, or no free workers.

    Stale statistics

    Finds tables whose planner statistics are out of date and driving bad plans.

    Table and index bloat

    Estimates dead space across tables and indexes so you know what to reclaim.

    Storage and WAL

    Watches directory size, disk usage, largest tables, and WAL retained per slot.

    Backups

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

    From Database to Application

    PostgreSQL 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 PostgreSQL to understand the full user impact.

    Deep insights into database performance + AI

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

    Query Performance Analysis

    Automatically collect metrics from pg_stat_statements and pg_stat_activity to identify your most resource-intensive queries. See CPU usage, I/O patterns, and execution statistics correlated with wire protocol data.

    Query Tracing & Performance

    eBPF captures every PostgreSQL query with detailed tracing, showing latency heatmaps, error rates, and individual query performance. See exact SQL statements and execution times without any database instrumentation.

    PostgreSQL Health & Metrics

    Monitor PostgreSQL availability, query latency, replication lag, and connection usage with real-time charts. Get instant visibility into database health.

    Backups & Recovery

    Track backups across CloudNativePG and the Percona Operator in one place. Coroot catches overdue, failed, and stale backups, checks WAL archiving, and surfaces the recovery window and the operator's reason when something breaks.

    Replication & WAL

    Follow every replica's lag split into WAL shipping and apply, spot paused replay or disconnected receivers, and watch WAL retained per replication slot so a lagging consumer never fills the disk.

    Autovacuum, Bloat & Wraparound

    The internals that quietly cause outages: autovacuum falling behind, table and index bloat, stale planner statistics, and transaction ID wraparound. Coroot explains the cause and points to the table or transaction responsible.

    Kubernetes-Native, Operator-Aware

    Coroot understands how the major PostgreSQL operators run your clusters. It detects cluster topology and primary/replica roles automatically, and reads backup state straight from their custom resources.

    CloudNativePG

    Cluster topology, roles, and backup state from the CNPG custom resources.

    Percona Operator

    pgBackRest backups, WAL archiving, and cluster health, end to end.

    Zalando

    Spilo-based clusters with primary and replica role detection.

    StackGres

    Cluster and primary/replica role detection out of the box.

    Works With All PostgreSQL Deployments

    From Kubernetes clusters to managed cloud databases - monitor PostgreSQL anywhere with consistent visibility

    Kubernetes

    PostgreSQL running in containers with automatic pod and service discovery

    Cloud

    AWS RDS, Aurora, Cloud SQL with complete performance monitoring

    Self-Hosted

    On-premise and custom PostgreSQL deployments with full observability

    Why PostgreSQL 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 slow query, lock contention, or I/O issues
    Database metrics miss application context
    pg_stat_statements shows slow queries but not which applications or users are affected
    SSL/TLS encryption hides the wire protocol
    Encrypted connections prevent monitoring tools from seeing actual database communication patterns

    How Coroot Solves This

    Coroot's dual-layer approach combines wire protocol capture with PostgreSQL system views for complete visibility.

    1
    eBPF captures wire protocol: latency & success rates per app
    2
    System views reveal CPU & I/O consuming queries
    3
    Correlate both layers for complete performance picture

    Ready to Monitor Your PostgreSQL Databases?

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

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