AI SREs, Chat With Your Infrastructure with Anyshift

Why It Matters

By turning fragmented infrastructure data into actionable AI insights, Anyshift dramatically cuts mean‑time‑to‑resolution, allowing SREs to manage ever‑more complex systems without proportionally expanding staff.

Key Takeaways

• Anyshift builds a unified context graph for infrastructure data.
• Agents retrieve real-time cloud, GitHub, and monitoring insights instantly.
• The platform reduces incident triage time from hours to minutes.
• CLI, web, and Slack interfaces let engineers work in preferred tools.
• Anyshift’s causality graph prevents hallucinations and improves AI decision accuracy.

Summary

The Agentic DevOps podcast introduced Anyshift.io, a startup delivering an AI‑powered Site Reliability Engineer (SRE) platform that lets engineers converse with their infrastructure. By aggregating read‑only keys from cloud providers, GitHub repositories, monitoring and logging services, Anyshift creates a persistent, unified context graph that serves as a single source of truth for complex, multi‑cluster environments. Key technical challenges revolve around context management: billions of tokens of infrastructure data cannot fit into a single LLM window, so Anyshift builds a causality graph that links changes, deployments, and incidents across “universes” like AWS, Kubernetes, and code bases. This approach distinguishes correlation from causation, reduces hallucinations, and enables the AI to suggest precise remediation steps. Co‑founders Roxan Fischer and Stefan Jordan highlighted real‑world impact: a PagerDuty alert that would normally take a senior SRE 15‑20 minutes to investigate is resolved in seconds as Anyshift surfaces the relevant commit, deployment, and prior error chain. Users can interact via a CLI, web dashboard, or Slack app, fitting the tool into existing workflows. The platform promises to offload routine diagnostics, accelerate incident response, and democratize advanced observability for teams that cannot scale headcount with growing infrastructure complexity. As AI agents become integral to production, Anyshift’s context‑first architecture positions it as a critical enabler for next‑generation DevOps operations.

Original Description

Bret’s joined by the Anyshift.io co-founders, Roxane Fischer and Stephane Jourdan to discuss how an always-on SRE agent can help you proactively find risks and avoid incidents.

This edited version is from my live stream show Apr 9, 2026: https://www.youtube.com/live/-DHZwxXigYI?si=9JnQYp8UZG27Bp2X&t=232

Listen to the audio version of this show: https://agenticdevops.fm/episodes/ai-sres-chat-with-your-infrastructure-with-anyshift

★Show Links★

* Anyshift website https://anyshift.io/

* Annie CLI https://www.anyshift.io/blog/introducing-annie-cli

* Blog post: Agentic Context Engineering in Production: How AI Agents Build Institutional Expertise https://www.anyshift.io/blog/ace-in-production

★Chapters★

00:00 - Introduction

03:09 - Meet Anyshift and the big idea

03:29 - When Was Anyshift Created?

07:13 - Context graphs and agent workflows

24:31 - Permissions and Auditing

28:16 - Memory and Context Graph

47:07 - Roadmap and Wrap Up

★ Additional episodes: https://agenticdevops.fm