Operations | Monitoring | ITSM | DevOps | Cloud

Claude Routines are a great automation primitive. But the network rules that decide what an agent can reach are set per engineer - and that's the real enterprise risk. Here's why Routines need a centrally governed home. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

An MCP server is the standardized bridge that lets AI agents like Claude Code and Cursor operate real infrastructure - deploy apps, provision databases, manage environments - through one governed API. Here's how MCP servers work for infrastructure, why they matter, and how to give agents production access without losing control. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Base44 vs Lovable compared: features, backend, pricing, popularity, and which AI app builder fits your use case - plus how to take either prototype to production on infrastructure you control. Melanie leads content at Qovery. She covers platform engineering trends, Kubernetes operations, FinOps, and the tools that help engineering teams ship faster.

Salesforce just put Heroku into maintenance mode and ended Enterprise sales for new customers. The AI era also flipped the migration math: what used to be a six-month project is now a one-prompt, agent-driven move to your own cloud. Here's why now is the best time to leave Heroku. Julien is a Senior Product Manager at Qovery. He bridges engineering and product, writing about deployment workflows, environment management, and DevOps patterns.

AI coding agent sandboxes compared for 2026: OpenAI Codex, Cursor cloud agents, Claude Code, GitHub Copilot agent and Qovery. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

A practical guide to the best tools for both using AI agents to manage Kubernetes (AIOps) and running AI agent workloads on Kubernetes infrastructure in 2026. Melanie leads content at Qovery. She covers platform engineering trends, Kubernetes operations, FinOps, and the tools that help engineering teams ship faster.

AI agents compress Kubernetes incident diagnosis from 45 minutes to seconds, eliminate YAML authoring toil, and shift resource tuning from static to continuous. Here is what changes concretely when they enter your workflow. Melanie leads content at Qovery. She covers platform engineering trends, Kubernetes operations, FinOps, and the tools that help engineering teams ship faster.

We didn't decide to become an agentic platform - our customers pulled us there. Here's why infrastructure breaks first when agents show up, the problems nobody planned for, and how to move fast with control. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

We rebuilt large parts of the Qovery Console: new navigation, overviews at every level, dark mode, and a modernized frontend architecture with TanStack Router and React Suspense. Rémi is a staff frontend engineer at Qovery. He writes about frontend architecture, developer experience, and building scalable UI systems for platform engineering tools. Théo is a senior product designer at Qovery.

Three days, 20 talks at Devoxx France 2026. The through-line wasn't AI hype - it was discipline. Context engineering, code review under AI volume, and the local-vs-remote question now shaping security, cost, and sovereignty. Fabien is a senior software engineer at Qovery. He writes about platform engineering, AI tooling, context engineering, and the practical realities of running modern developer infrastructure.

Production secrets should live in one place and stay there, whether your next deployment is triggered by a developer or an AI agent. The Secret Manager integration connects AWS Secrets Manager, AWS SSM, or GCP Secret Manager to Qovery so secrets are referenced, never copied, and enterprise governance holds regardless of who deploys. Alessandro leads product at Qovery. He drives the changelog, roadmap, and product strategy - turning customer feedback into platform capabilities.

Coding agents are good at reading a spec and producing code. But producing code is one step in a longer process. The real loop is Spec -> Code -> Deploy -> Test -> Verify -> Ship. Agents stop at step two. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

A software engineer's hands-on journey building a private cloud on bare-metal: Incus clustering, K3s, OVN networking, the Gateway API, and everything that breaks along the way — and what it taught them about why platforms like Qovery exist. Antoine is a senior software engineer at Qovery. He writes about hands-on infrastructure engineering, Kubernetes internals, and the realities of running production systems.