Alternatives
Products that do what Logdash – Zero-config observability for side projects does
Hey HN We’ve been building Logdash as a lightweight observability tool for side projects and prototypes. Most logging/metrics tools (Prometheus, Grafana, ELK...) are amazing, but feel like overkill when you're just hacking on something small. Logdash gives you: - Real-time logs and custom metrics - Zero config (no YAML, no setup) - One tiny SDK to drop in - Hosted UI with live dashboards We use Logdash to monitor Logdash — our own prod dashboard is public here: https://logdash.io/demo-dashboard Would love feedback, ideas, or questions!
- 1

- 2

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

- 4
- 5

- 6

Cloud logging + visualization tools for robotic development
2020
- 7LI
2011 · logio.org
- 8

- 9

- 10

- 11

- 12

- 13

- 14IM
Hello I'm Jack, I was previously a Site Reliability Engineer and i've been working on monitro.dev which makes log monitoring simple for individuals or small teams. It allows you to easily forward any logs to multiple channels such as Slack, Discord & Telegram. The events are also viewable though the admin dashboard and are easily filterable. Currently there is only an NPM package with javascript / typescript support but i have plans to expand this to other languages such as Python, Rust etc. The package has many options, one of them is forwarding any uncaught exception and as an event…
2024 · monitro.dev
- 15

- 16

- 17

- 18

- 19

- 20PA
PFELK is a pfSense/OPNsense firewall traffic visualization solution based on ELK stack. It is a highly customizable tool that let’s you have extensive insight into your network traffic. Key points: - pfSense/OPNsense support - openVPN support - pfSense/Suricata/Snort dashboards with interactive Maps support (MaxMind GeoIp fields, src -> dest locations, Heatmap, etc.) - deploy with ansible-playbook, docker or script. https://github.com/3ilson/pfelk
2020
- 21HL
Hey Hackers, I was building multiple projects lately, and integrating logging was way too much for me. Managing self hosted ELK stack, or using existing log monitoring services (running their agent was consuming hell of resources on my tiny servers). It took me a day to code my own logging server, and client for python projects (serving as python packages - pypi), named it HueLogs. Sharing with you all, please feel free to contribute if you like. I might be adding a npm package for javascript client if I get chance to code tomorrow. Few features too add: - 30 min, last day logs etc. -…
2024 · github.com
- 22WC
We developed a module for developers in small to mid-sized companies. It’s an open-source logger for Node.js with a built-in web dashboard to view, filter, and search your app logs.
2024 · github.com
- 23VB
Hey HN! We're Ben and Izak, the cofounders of Vigilant. Vigilant is a lightweight tool for managing structured logs. It lets you centralize your logs, search them, and create alerts. We used Cloudwatch for logs on our last product, and it was quite painful. Even basic searches felt tedious. We’ve used dedicated observability tools at past jobs, but most of them have a steep learning curve and require widespread integration (and some still feel clunky). With Vigilant, we're focused on making logs feel fast and simple. We operate at the application layer with an sdk. We're trying a unique…
2025 · vigilant.run
- 24TN
Telescope originally started as a ClickHouse-focused log viewer. But while building it, I kept running into the same pattern: when everything worked, logs were in ClickHouse. When things broke, logs were still inside Kubernetes. That gap led to adding Kubernetes as a native log source. This is not meant to replace proper log aggregation. Centralized storage with indexing and retention policies is still the right approach for production. But there are situations where aggregation doesn't help: the logging pipeline is broken, logs are delayed, or you're debugging locally and don't have a…
Feb 2026 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →