Alternatives
Products that do what ProdRescue AI does
Turn 3 AM messy logs into board-ready incident report in 1m
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- 6OS
EU legislation (which affects UK and US companies in many cases) requires being able to truly reconstruct agentic events. I've worked in a number of regulated industries off & on for years, and recently hit this gap. We already had strong observability, but if someone asked me to prove exactly what happened for a specific AI decision X months ago (and demonstrate that the log trail had not been altered), I could not. The EU AI Act has already entered force, and its Article 12 kicks-in in August this year, requiring automatic event recording and six-month retention for high-risk systems,…
Mar 2026
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I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira
Mar 2026 · github.com
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Hey Folks – Larry, Ajay and Rod here! We address the age old painful problem of digging through logs to find the root cause when a problem occurs. No-one likes searching through logs, and so we spent a few years analyzing 100’s of real world incidents to understand how humans troubleshoot in logs. And then we built a solution that automatically finds the same root cause indicators a human would have had to manually search for. We call it Root Cause as a Service. RCaaS works with any app and does not require manual training or rules. Our foundational thoughts and more details can be found…
2022
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There are many log alerting systems on the market. The best known is probably Datadog. There’s also Logtail, Papertrail, Splunk, Logstash and others. These are well put together products with a host of great features, such as excellent UIs, sophisticated live searching via web interfaces and sometimes query languages and alerting. They require various levels of installation and they have costs, either through volume-based tiered systems or monthly payments. For a bootstrapped business, this can be problematic, for instance when a surge of logs - indicating a possible important problem that…
2023 · profitview.net
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Hi amazing community, I’m Ali a solo founder and ex-SRE. After working at Dynatrace and Gartner, I left my job to build RobinRelay, a Slack-native assistant for noisy alerts and incident memory. The Problem: SRE and DevOps teams get flooded with alerts in Slack. People investigate in threads or the main alert channel… and then the context disappears. So when the same alert happens again (next week, another team, different cluster), everyone starts from scratch. What I’ve Built: RobinRelay watches your alert channels and automatically replies when a recurring alert is detected. It brings…
2025 · robinrelay.ai
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AI helpdesk triage — inbox to assigned ticket in 15 seconds
May 2026 · dispatchlayer.co.uk
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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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