Coroot vs Zymtrace

Coroot is an open-source observability platform that uses eBPF to collect metrics, logs, traces, and profiling data without code changes. It maps services and dependencies, and pairs eBPF auto-instrumentation with OpenTelemetry SDK traces for end-to-end request tracking. Continuous profiling can locate CPU spikes down to the line of code. Coroot tracks cloud costs without access to cloud accounts and detects risks such as single-instance applications, unreplicated databases, poor replica placement, and publicly exposed services. Its AI root cause analysis correlates metrics, logs, traces, events, and profiles to identify likely incident causes, with evidence and suggested fixes. Notifications can be sent through Slack, Microsoft Teams, PagerDuty, Opsgenie, and webhooks. Coroot supports Kubernetes, OpenShift, Docker, Docker Swarm, several listed Linux distributions, and Windows agents. Linux use requires kernel version 5.1 or later. The platform is self-hosted, keeping data within the customer's infrastructure. Community Edition is Apache 2.0 licensed and can run on premises or in a customer's cloud. The free Community Edition includes core features. Standard support is by email, chat, or ticket during business hours, while Premium includes 24×7 and phone support.

Zymtrace profiles CPU and GPU workloads to help teams find performance bottlenecks in AI training and inference. Its whole-system CPU profiler supports languages including Python, Java, Go, Rust, C/C++, Node.js, Ruby,.NET, PHP, Perl, Zig, and Scala. GPU tools correlate CPU and GPU execution, inspect CUDA kernels, GPU instructions, and stall reasons, and monitor measures such as utilization, memory, power, temperature, SM efficiency and occupancy, Tensor Core utilization, and data transfer rates. The GPU profiling page lists vLLM, Ollama, llama.cpp, and SGLang as supported inference engines. Zymtrace runs on Linux; the maker says eBPF dependence currently rules out Windows. All plans are self-hosted, and the maker says customer data stays within customer infrastructure. The air-gapped option performs processing and analysis locally. Instances provide a REST API, and profiling data can be exposed through MCP for AI agents. OpenTelemetry resource attributes and standard-format export are supported. Basic is free, billed Free Forever, and covers CPU profiling for up to five concurrent machines; GPU profiling is available as a trial.