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Latest Humans of Reliability
Featured case study
Paul van Liew
Trusted by 100+ customers
Making LLM evaluations reproducible for real-world SRE workflows
Sylvain Kalache
Reliability engineering is evolving quickly—and AI is the catalyst. That’s why we’re excited to unveil Rootly AI Labs, a community-focused program dedicated to reshaping reliability through open collaboration, innovative prototypes, and cutting-edge research.
Rootly AI Labs analyzes the performance of Meta’s Llama 4 models and finds they underperform compared to competitors like Claude 3.5 Sonnet and Qwen2.5
Connect Rootly to Cursor, Claude or Copilot with our open source MCP Server, available on GitHub.
Rootly’s AI-agent-first API, built on the Agents JSON standard, enables LLM-powered agents to automate workflows, streamline data handling, and enhance incident response.
Can a smaller AI model outperform a larger one? A distilled version of DeepSeek R1 (70B) outperformed Llama and nearly matched GPT-4o in classifying error logs. These results suggest that model efficiency, not just size, is key to AI performance in incident management.
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