Coroot

Coroot's eBPF agent detects an anomaly in front-end service response times.

The AI RCA engine traces the dependency map backwards from the front-end to find a bottlenecked downstream authentication service.

Coroot correlates the latency with an influx of error logs in the specific pod.

The dashboard presents the exact root cause and suggests a remediation step to the on-call engineer.

Coroot intercepts PostgreSQL connection traffic via eBPF at the node level.

It identifies repetitive, unindexed queries consuming excessive CPU time.

The DBA views the specific query text and latency distribution in the Coroot database observability tab.

The DBA creates the missing index, immediately validating the performance improvement on the live Coroot dashboard.

Infrastructure team deploys Coroot Enterprise on their self-hosted cloud instances.

Auto-instrumentation via eBPF maps the entire architecture within 30 minutes.

Teams migrate existing alert thresholds and dashboards to Coroot's unified platform.

The organization offboards the legacy vendor, saving substantial OPEX while retaining full data control.

Engineer accesses the Network Flow dashboard in Coroot.

The visual map highlights a specific network path with high packet retransmission rates.

Coroot drills down into the specific payload sizes and repeated TCP errors.

The team identifies and corrects an aggressive firewall or misconfigured load balancer rule.

Coroot automatically captures standard out/err logs from all containerized applications.

When an error occurs, the engineer clicks the error log entry.

Coroot natively opens the exact distributed trace that generated that log line in the same UI.

The developer pinpoints the failing function using the continuous profiling data attached to the trace.