
OpsMon
Quick TLS, latency and TCP checks from Android
What it does
OpsMon is a lightweight Android tool for quick infrastructure health checks. It runs fully on-device with no cloud backend or agents, allowing you to instantly inspect TLS status, latency, TCP availability, and HTTP endpoints. Unlike traditional monitoring platforms, OpsMon is designed for fast mobile-first troubleshooting rather than full observability dashboards.
Does the same job
all alternatives →- SOServiceRadar – open-source Network Observability PlatformOct 2025 · github.com · ▲61
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,…



- DADish: A lightweight HTTP and TCP socket monitoring tool written in Go2025 · github.com · ▲39
dish is a lightweight, 0 dependency monitoring tool in the form of a small binary executable. Upon execution, it checks the provided sockets (which can be provided in a JSON file or served by a remote JSON API endpoint). The results of the check are then reported to the configured channels. It started as a learning project and ended up proving quite handy. Me and my friend have been using it to monitor our services for the last 3 years. We have refactored the codebase to be a bit more presentable recently and thought we'd share on here! The currently supported channels include: - Telegram -…
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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