DEVOPSdigest

Qovery announced the release of its AI DevOps Copilot - an AI agent that delivers answers, executes complex operations, and anticipates what’s next.

With Qovery’s Copilot, engineers give instructions in simple language and the system executes - turning a drain on resources into a competitive advantage. For example, a team can request simple instructions that unused environments be shut down at the end of the day, or that a new service be deployed at a specific time, or more complex ones - such as “to run dev environments only from Monday 8 a.m. PT to Friday 6 p.m. PT; tear down non-used environments automatically at night; and trigger daily integration tests only if the platform has been unstable in the last 48 hours” and Qovery DevOps Copilot will handle the process automatically.

Five specialized AI agents to cover the complete DevOps lifecycle:

- AI Provision Agent: Automates environment creation and scaling by interpreting natural-language requests to allocate resources on demand, enforce quotas, and optimize infrastructure usage.

- AI FinOps Agent: Improves efficiency by detecting idle environments, scheduling shutdowns, and identifying opportunities to reduce spend.

- AI Observability Agent: Enhances incident response by retrieving logs, identifying anomalies, and suggesting solutions before issues escalate.

- AI DevSecOps Agent: Strengthens governance by enforcing compliance, requiring confirmations for sensitive actions, and maintaining a full audit trail.

- AI CI/CD Agent: Simplifies deployment and pipeline management with natural-language prompts for scheduling releases and managing test queues.

“DevOps was never meant to be about babysitting infrastructure,” said Romaric Philogène, CEO and cofounder of Qovery. “It was meant to enable velocity and resilience. But somewhere along the way, the complexity became the job itself. With DevOps Copilot, we are rewriting that story. We believe the next generation of DevOps is agentic. AI doesn’t replace engineers, it amplifies their impact by automating the work that distracts them from innovation. This is not just a product launch, it is the start of an industry shift where infrastructure finally gets out of the way.”

Two early pilot customers already tested Copilot during its pre-launch phase.