Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.
Open evidence profile for MCP tool actions. Enforce configured tool-call policies and record decisions and observations in offline-verifiable bundles. Optional Linux kernel controls. No hosted backend required.
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
Near-lock-free structured logging for Rust: a 65,536-slot ring buffer, formatting deferred to a background thread, 14 output formats (JSON, ECS, GELF, OTLP, logfmt…) and native os_log/journald sinks. Plus an OTLP/HTTP exporter, an MCP server for AI agents, Tower middleware, PII redaction, WebAssembly bindings and a jq-style CLI.
Koney is a Kubernetes operator that enables you to define so-called deception policies for your cluster. Koney automates the setup, rotation, and teardown of honeytokens and fake API endpoints, and uses eBPF to detect, log, and forward alerts when your traps have been accessed.