Rootly, the leading AI-native incident response platform, today announced the official launch of Rootly AI Labs, a fellow-led community dedicated to redefining the future of reliability engineering. Rootly AI Labs is set to accelerate operational excellence through the development of innovative prototypes, open-source tools, and groundbreaking research aimed at transforming how organizations achieve reliability at scale.
The launch event will take place at GitHub Headquarters in San Francisco, featuring keynote presentations and panel discussions with industry leaders from Google, Anthropic, Andreessen Horowitz, Browserbase, Sentry, and Postman. Topics will explore the transformative potential of emerging frameworks like Model Communication Protocol (MCP) servers and Agent2Agent (A2A) protocols — envisioned to empower every developer to perform like a “10x engineer” and help SRE teams reach the “six nines” standard of reliability (99.9999%).
Shaping the Next Era of Reliability
“The Rootly AI Labs represents our commitment to shaping the next era of reliability engineering,” said JJ Tang, CEO of Rootly. “By bringing together top industry experts and a community-driven approach, we’re positioned to create transformative tools and frameworks that redefine what’s possible for engineering teams worldwide.”
Rootly AI Labs will serve as an open platform where reliability engineers, SREs, and AI researchers can collaborate, prototype, and experiment.
All outputs — including open-source projects, research papers, and AI-based tooling — will be made freely available, accelerating industry-wide advancement in operational practices.
Building the Future: Open, Accessible, and AI-Driven
Led by Sylvain Kalache, Head of Rootly AI Labs, the initiative addresses the rapid evolution of AI and its impact on engineering reliability.
“AI is evolving so quickly that reliability practitioners often struggle to keep pace,” said Kalache. “Rootly AI Labs serves as a learning resource where we explore cutting-edge technologies and concepts specifically aimed at improving reliability through the power of AI. We share our learnings and the tools we create, ensuring they’re freely accessible for the community.”
Rootly AI Labs will focus on several critical innovation areas, including:
- Model Communication Protocol (MCP) Servers: Enabling efficient model-to-model communication and collaboration frameworks.
- Agent2Agent (A2A) Protocols: Facilitating distributed AI agent orchestration to improve system resilience and responsiveness.
- Reliability-Driven AI Tooling: Building AI-native solutions to predict, detect, and resolve incidents faster and more autonomously.
- Community Research and Prototypes: Open-sourcing experiments, frameworks, and academic-grade research for broader adoption.
Join the Movement
Reliability engineers, site reliability engineers (SREs), DevOps professionals, and AI researchers are encouraged to join Rootly AI Labs to co-create the next generation of reliability solutions.
