Alternatives
Products that do what sip-exporter does
Prometheus-native SIP and RTP monitoring with eBPF
- 1PI
2020 · pixielabs.ai
- 2

Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
- 3
- 4

- 5OP
2017 · latency.at
- 6

- 7BC
2021 · bitcoind.observer
- 8

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- 10SH
2014 · cabotapp.com
- 11MI
2016 · solutions.stacktile.io
- 12PO
2022 · github.com
- 13PE
2022 · github.com
- 14SA
2019 · schm1dt.ch
- 15TK
2021 · github.com
- 16MO
2021 · monika.hyperjump.tech
- 17CA
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
- 18FE
2017 · github.com
- 19PA
I've added Prometheus and OpenTelemetry support to my beloved open-source pet project called Kuvasz, which is a cloud-native, feature-rich uptime & SSL monitoring service, written in Kotlin. If you already have an observability stack and you only need a free uptime/SSL monitor, you can easily integrate Kuvasz with it. Let me know what you think or what you miss from Kuvasz!
2025 · kuvasz-uptime.dev
- 20FP
2016 · proxycheck.io
- 21AU
Hey HN! We built a tool that uses eBPF to discover AI services and their data flows in Kubernetes clusters. Modern AI apps often follow this pattern: 1. Service receives request 2. Queries database (PostgreSQL/Redis/MongoDB) 3. Sends data to LLM API (OpenAI/Anthropic/Bedrock) 4. Consumes or returns the AI generated response Security teams often don't know: - Which services are making AI calls - What databases they're accessing first - Whether PII is being sent to third-party APIs - What libraries and packages are being used for AI Our eBPF based tool attaches to network…
Jan 2026 · aurva.io
- 22SA
Aug 2026 · github.com
- 23MY
LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
- 24SC
Jan 2026 · github.com
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