Dev tools · alternatives · 2026
24 alternatives to Coroot
An zero-instrumentation observability tool based on eBPF
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Coroot launched in 2023; newer entries below may have overtaken it.
- 1
A common open source approach to observability will begin with databases and visualizations for telemetry - Grafana, Prometheus, Jaeger. But observability doesn’t begin and end here: these tools require configuration, dashboard customization, and may not actually pinpoint the data you need to mitigate system risks. Coroot was designed to solve the problem of manual, time-consuming observability analysis: it handles the full observability journey — from collecting telemetry to turning it into actionable insights. We also strongly believe that simple observability should be an innovation…
2025 · github.com · its alternatives →
- 2
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. - coroot/coroot
2022 · github.com · its alternatives →
- 3
Hey HN, We launched Coroot a while ago as an open source observability tool that collects complete telemetry using eBPF. Today we are adding a major new capability: Coroot enterprise now includes AI-powered Root Cause Analysis. When an incident happens (like an SLO violation), Coroot: - Automatically kicks off an RCA - Summarizes what went wrong in plain English - Suggests immediate fixes - Shows the full investigation using metrics, logs, traces, and profiles With most tools, the quality of root cause analysis depends on how well the system is instrumented. Coroot takes a different…
2025 · coroot.ai · its alternatives →
- 4
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. - Release 0.12.0 · coroot/coroot
2023 · github.com · its alternatives →
- 5
I'm Peter Zaitsev, co-founder at Coroot. I come from the database world where observability, or monitoring, was crucial for keeping databases running smoothly. But as technology evolves, so do the challenges we face. Today, many applications are built using microservices architecture, making it harder to pinpoint issues. Developers now have more ownership over the entire environment, but they lack the expertise to navigate intricate infrastructure details. And with the complexity of modern observability systems, crucial components often go unmonitored, leaving blind spots. That's where…
2024 · coroot.com · its alternatives →
- 6
TraceRoot.AI▲342Fix bugs faster with open source, AI native observability
2025 · traceroot.ai · its alternatives →
- 7
- 8
Hello Everyone, I'm excited to introduce a new open-source observability platform and would love to hear your feedback. We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem. - Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts. - The UI not…
2023 · github.com · its alternatives →
- 9
Complete open-source monitoring and observability platform. - OneUptime/oneuptime
2024 · github.com · its alternatives →
- 10
Over the past few months, we've been building Prism; a fast, developer-first observability UI that's deeply integrated with our open-source database, Parseable. Prism is designed for engineers who debug distributed systems, sometimes at odd hours, and need answers right now, without having to deal with five different tools. Backstory: We spoke to dozens of observability practitioners in large enterprises. Across the board, we heard two things: (1)The RoI on observability tools is hard to justify. (2)OSS leads to tool sprawl, metrics in Grafana, logs in ELK, traces… somewhere. We wanted a…
2022 · parseable.com · its alternatives →
- 11
AI-native observability that proactively solves problems
2025 · its alternatives →
- 12
superlog▲497Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs. Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M. In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as…
Jun 2026 · superlog.sh · its alternatives →
- 13
OpenTelemetry-native observability for agents and LLMs
Aug 2026 · openobserve.ai · its alternatives →
- 14
Always on Profiling for Production Systems
2024 · 0x.tools · its alternatives →
- 15
- 16
groundcover▲225Monitor K8s applications effortlessly, at scale
2022 · groundcover.com · its alternatives →
- 17
- 18
An open source observability stack for your backends
2023 · autometrics.dev · its alternatives →
- 19PI
2020 · pixielabs.ai · its alternatives →
- 20
Hey HN, Nir, Gal and Tomer here. We’re open-sourcing a set of extensions we’ve built on top of OpenTelemetry that provide visibility into LLM applications - whether it be prompts, vector DBs and more. Here’s the repo: https://github.com/traceloop/openllmetry. There’s already a decent number of tools for LLM observability, some open-source and some not. But what we found was missing for all of them is that they were closed-protocol by design, vendor-locking you to use their observability platform or their proprietary framework for running your LLMs. It’s still early in the…
2023 · github.com · its alternatives →
- 21
eBPF is an amazing technology that allows safely running user-supplied functions at pretty much arbitrary probe points in a kernel/user space context. Much has been written about how amazing this feature is for kernel observability. But as someone who writes user space code, what I find even more amazing is the support for tracing arbitrary user space programs, with no code changes and low overhead. However, doing in-depth analysis can get complicated and time-consuming. My goal with wachy was to make this debugging significantly easier/faster to use, by displaying traces in a TUI…
2022 · rubrikinc.github.io · its alternatives →
- 22
- 23
KloudMate▲279Logs, metrics, and traces in one platform. KloudMate helps engineers find and fix issues fast. Ask the built-in AI assistant to help track down the cause.
2023 · kloudmate.com · its alternatives →
- 24
Dynamically instrument Live applications from your IDE
2023 · lightrun.com · its alternatives →
Also compare
- Coroot – eBPF-based, open source observability with actionable insights alternatives
- Coroot – a monitoring tool for microservice architectures alternatives
- Coroot – AI powered Root Cause Analysis using eBPF-based telemetry alternatives
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- Coroot: Simplified Observability for Modern Environments alternatives
- TraceRoot.AI alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →