Roxane Fischer
CEO & Co-Founder
With a passion for innovation and a deep understanding of cloud infrastructure, Roxane Fischer leads Anyshift.io with a vision to transform how companies manage and maintain their cloud environments. Her background as an ex-Lead Engineer and AI researcher gives her a unique ability to anticipate industry needs, driving Anyshift's growth by delivering solutions that prioritize efficiency, reliability, and long-term success.
14 Articles
The Anyshift Graph API
Every question your team asks about production now has an API. Rank a flapping monitor in 0.4 seconds, trace a bad deploy to its failures, and give your agents ground truth instead of another dashboard.
How Much Context Does an AI Agent Really Need?
Unified production context makes AI agents cheaper, faster, and easier to scale. In our live benchmark, resolving relationships before inference cut model-token usage by 83.5%, while reducing response time and estimated cost without changing the task outcome.
Prove Which Snyk Container CVEs Are Running in Production
Snyk Container identifies vulnerable image digests. Anyshift joins each digest to Kubernetes runtime, exposure, rollout history, owner, and remediation window.
Private Equity's AI Transition Problem in 2026
Private equity firms are pushing AI across portfolios, but the hard part is no longer experimentation. It is turning sponsor-level AI pressure into governed, production-aware operating workflows that actually move EBITDA.
Top 10 AI SRE Tools in 2026: A Comprehensive Comparison
The 10 best AI SRE tools in 2026 compared by architecture, root cause analysis, remediation, and change awareness — from Anyshift's versioned graph to Resolve AI's autonomous agents.
Why AI-SRE Needs Topology, Not Just Telemetry
The limits of telemetry-only AI approaches to SRE and why topology is the missing piece.
Anyshift at Civo Navigate SF: Key Takeaways
Key takeaways from the Civo Navigate SF conference.
Anyshift at DevOpsDays Dallas: 5 Key Reasons You're Struggling to Debug Your Infrastructure in Under an Hour
A talk recording from DevOpsDays Dallas about the challenges of debugging infrastructure quickly.
[Featured in Tessl] DevOps with AI: Identifying the impact zone, with Roxane Fischer
A featured interview on Tessl about DevOps with AI and identifying the impact zone.
Navigating AI in your Infrastructure: Dos, Don'ts, and Why It Matters
GenAI is everywhere. But very often, the cool and exciting demos don't work the same way in production.
Common Weak Points in Infrastructure Management: An In-Depth Guide
Managing infrastructure at scale is a complex endeavor that demands meticulous planning, robust tooling, and continuous adaptation.
Anyshift.io at Awesome AI Dev Tools September
Anyshift's presentation at the Awesome AI Dev Tools event in September 2024.
5 Key Reasons You're Struggling to Debug Your Infrastructure in Under an Hour
Most infrastructure debugging sessions blow past the one-hour mark for the same five structural reasons: scattered visibility across cloud accounts, missing historical state, terraform plan output that hides downstream impact, runbooks that lag the live infrastructure, and post-merger environments that no one has fully mapped. A walkthrough of each, with concrete examples and what reduces the time.
Top 3 Weak Points in Your Infrastructure and how to mitigate them
Three structural patterns recur in growing infrastructure orgs: single-repo bottlenecks where dozens of teams share one approval queue, ClickOps and dead IaC code that drift outside any state file, and module version fragmentation that quietly bypasses security patches. A walkthrough of each, with the practices that contain the blast radius.