Alternatives
Products that do what Cloudwatch Logs MCP Server does
No more copy-pasting logs when troubleshooting issues—the vibes told me there had to be a better way. Now debugging flows like a conversation.
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2016 · logdna.com
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2011 · logio.org
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2015 · github.com
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2014 · drewblaisdell.github.io
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2014 · cloudlytics.com
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2016 · github.com
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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
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2015 · github.com
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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
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2019 · logflare.app
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I’ve been building Canine for about 2 years now, and have slowly grown it to about ~1000 developers using it for deploying all sorts of apps / projects / etc. Amazingly, the whole thing is still able to run on a single 48GB Hetzner VPS. Think of it basically like Coolify, for Kubernetes. I previously posted about it here: https://news.ycombinator.com/item?id=44292103 Recently, we added MCP capabilities to canine, and I was shocked how well it worked. It basically is able to create services, cron jobs, databases, get the logs for these and redeploy. See it here:…
Apr 2026
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Debugging is hard for LLMs, because they primarily depend on source code, and they don't have access to runtime state. I spent countless hours debugging code, and the only way I found LLMs useful for that, is to ask them to add log lines. That's annoying, because it pollutes my code and adds unnecessary diffs. So we made an MCP server that solve this problem. It gives MCP clients (like Claude Code) access to a NodeJS inspector, so they can: 1. set breakpoints 2. step in, step out, continue 3. fetch the current execution location 4. read console output 5. run JS using eval To try: 1. run a…
2025 · github.com
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2015 · marsinvasion.github.io
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Hi HN, https://www.youtube.com/watch?v=MN7RNVo9nc4 (The text below is based upon the linked video above) I'm Co-Founder & CEO of Vantage: a cloud cost observability platform. Our team put together a quick video showing a new feature we launched that I think this community may be interested in: Network Flow Reports. This gives you the ability to see flows normalized by cost instead of usage for AWS resources. Knowing that AWS has different rates depending on the source and destination of network traffic, we did the work of ingesting VPC Flow Logs and cross-referencing with the…
2024
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2025 · github.com
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I built an open-source AIOps MCP (Monitoring & Control Plane) that detects anomalies in logs using Isolation Forest. It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes & Helm, and designed to plug into existing observability stacks. I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps/SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I…
2025 · github.com
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2018 · spectrumapp.io
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Hi HN, I'm the CEO at https://replay.io. We've been working on time travel debugging for web development for a while (https://news.ycombinator.com/item?id=28539247) and more recently an AI app builder that uses that debugger to get past problems instead of spinning in circles (https://news.ycombinator.com/item?id=43258585). We've gotten to where we can pretty easily build apps to replace business-critical SaaS tools, some of which we're now using internally: * We built our own issue tracker to keep track of all our development projects, tickets, bug…
Dec 2025
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