This startup provides an AI-powered virtual assistant that audits infrastructure by analyzing telemetry data and system metrics. It identifies potential issues and weak spots, then suggests specific fixes to help prevent or resolve service outages.
Funding
Funding not disclosed
Founders
Product
Problem
Modern IT environments are complex, making it difficult to identify the root causes of application performance issues and service outages. Existing monitoring tools often require manual configuration and lack the built-in expertise to automatically pinpoint the source of problems. This complexity increases troubleshooting time and impacts system reliability.
Solution
Coroot provides an open-source observability platform that simplifies the analysis of metrics, logs, traces, and profiles to enhance the reliability of IT systems. Using eBPF for zero-code instrumentation, Coroot automatically collects comprehensive telemetry data and builds a service map of the entire system. The platform includes predefined inspections that can identify the root causes of common issues, and AI-powered root cause analysis to explain anomalies. Coroot also offers SLO tracking, deployment tracking, and cost monitoring, providing actionable insights to improve application performance and reduce cloud costs.
Target Audience
Coroot is designed for DevOps engineers, SREs, and IT teams who need a simple, actionable observability solution to troubleshoot application performance issues, monitor system health, and optimize cloud costs.
Features
- Automatic collection of metrics, logs, traces, and profiles using eBPF for zero-code instrumentation
- Service map with 100% coverage, including the internal Kubernetes control plane
- Predefined inspections to automatically identify the root causes of over 80% of issues
- AI-powered root cause analysis to explain anomalies and provide evidence for cross-checking
- SLO (Service Level Objective) tracking with alerting via Slack, PagerDuty, MS Teams, and OpsGenie
- Deployment tracking to monitor the impact of new code deployments on application performance
- Cost monitoring to understand cloud costs down to the application level, supporting AWS, GCP, and Azure
- Continuous profiling to analyze CPU and memory usage down to the line of code
- Support for Kubernetes and PostgreSQL observability
- Vendor-neutral instrumentation with OpenTelemetry