Alternatives
Products that do what EdgePredict does
Free CMMS + Motor Monitoring. One system.
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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Hi HN! Erik here from Pig.dev, and today I'd like to share a new project we've just open sourced: Muscle Mem is an SDK that records your agent's tool-calling patterns as it solves tasks, and will deterministically replay those learned trajectories whenever the task is encountered again, falling back to agent mode if edge cases are detected. Like a JIT compiler, for behaviors. At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc). A recurring theme we ran into was that businesses already had RPA (pure-software scripts), and…
2025 · github.com
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If you've built any web-based app in the last 15 years, you probably used something like Datadog, New Relic, Sentry, etc. to monitor and trace your app, right? Why should it be different when the app you're building happens to be using LLMs? So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js A few months ago we launched…
2024 · github.com
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2023 · supercmms.com
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ServiceRadar is an open-source platform for distributed, secure network management and observability, scaling to 100k+ devices. Born from frustration with complex traditional NMS tools like Zabbix, it bridges legacy (SNMP/syslog) and modern (gNMI, OTLP) protocols for cloud-native environments. We built ServiceRadar to simplify monitoring hybrid telecom networks, evolving it into a Kubernetes-native solution with Helm and Docker support. It uses mTLS with SPIFFE/SPIRE, NATS JetStream for event streaming (90M+ EPS), and SRQL for intuitive queries. Integrated with OpenTelemetry,…
Oct 2025 · github.com
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May 2026 · github.com
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I kept missing incidents until it was too late. By the time my monitoring alerted me, servers/nodes were already unrecoverable. So I built Linnix. It watches your Linux systems at the kernel level using eBPF and tries to catch problems before they cascade into outages. The idea is simple: instead of alerting you after your server runs out of memory, it notices when memory allocation patterns look weird and tells you "hey, this looks bad." It uses a local LLM to spot patterns. Not trying to build AGI here - just pattern matching on process behavior. Turns out LLMs are actually pretty…
Nov 2025 · github.com
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2022 · contember.com
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2016 · getdirectus.com
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Hi HN, Shawn here. My rooftop system lost about half a year of production and nobody told me. Not the installer, not the monitoring app, not the utility. I found out from an electric bill that made no sense, then spent weeks digging through the monitoring portal by hand. SunRanker is what I wished existed that day. Connect a system once (Enphase OAuth, or a SolarEdge site ID plus API key) and it reads production daily, shows it in plain language, and emails you when something actually changes. Three alerts only. The connection broke, the monitoring went quiet, or output has been well below…
27d ago · sunranker.com
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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
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