Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet How does CW Copilot work? AI SRE Agent Orchestration Layer DigitalOcean serverless inference Post generation insight review What we learned during this journey Identifying the Right Problems to Get the Most Out of AI Fine-Tuning is (almost) always an overkill Use the Right Tool for the Right Job Accept Non-Determinism Don’t Underestimate the AI Don’t Overestimate AI Either Avoid the Sunk Cost Trap Why choose DigitalOcean Gradient™ AI Platform Powering AI Agents at Scale About the author Try DigitalOcean for free Related Articles Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato DigitalOcean Gradient™ AI GPU Droplets Optimized for Inference: Increasing Throughput at Lower the Cost By Najmus Saqib Updated: March 13, 2026 6 min read As Cloudways scaled from a bootstrapped startup to a leading managed PHP hosting service, one of the biggest challenges we encountered was the growing support load. Managing a fleet of over 90,000 servers and half a million applications means thousands of support requests, requiring a team of hundreds of human support agents. The rise of LLMs and AI agents provided an ideal opportunity to rethink our support operations. Early on, we recognized that an AI-based SRE agent could significantly reduce the burden on our support teams. At Cloudways, we deeply care about our customers’ applications and websites because they are the backbone of their businesses and livelihoods. Every minute of downtime matters, and our priority has always been to ensure their apps come back online as quickly as possible. An AI SRE agent helps customers to receive timely, in-depth investigation and troubleshooting for their web applications delivering faster diagnosis and quicker resolution. Cloudways Copilot, an AI-powered Site Reliability Engineer in its current state is a result of over a year of constant efforts to achieve these goals. It has features like Insights and SmartFix which provide users access to a detailed diagnosis and resolution steps for web apps incidents. These AI-powered insights are significantly faster and more consistent than those provided by a human agent. The monitoring layer continuously observes each user machine for Webstack issues and excessive. When an anomaly is detected, it triggers an alert and forwards it to the control plane.