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From Signal to Action: Instrumenting Decision Latency in Kubernetes Incident Response

An alert fires. Checkout latency has crossed an error-budget threshold, the Prometheus rule is correct, and the page reaches an on-call engineer in under a minute. Then recovery stalls while the responder works through different questions. Which rollout changed? Who owns the failing path? Is the payment dependency degraded? Is rollback safe? Who needs to approve it? How do we know the system recovered?

The Migration Takes 2 Weeks. Deciding to Do It Takes 6 Months. (Webinar Replay)

Replay and recap of our October 20 live session: why the decision to migrate takes longer than the migration itself, the five human blockers behind it, two customer migrations, and three ways to cut decision time. Chapters, timestamps and key takeaways. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Britain's schools are adopting AI, but who controls the infrastructure behind it?

Four in five UK teachers now use artificial intelligence for work. That is an extraordinary level of adoption for a technology that, just a few years ago, most people outside the technology industry had barely encountered. But there's another figure from the same research that I find considerably more interesting. Only 35% of teachers using AI say they're actually working fewer hours because of it.

Strengthening the Security of Qovery's Access to Your AWS Account

Qovery now sends your organization ID as the sts:ExternalId when it assumes the IAM role in your AWS account, and the role's trust policy only accepts it on behalf of your organization. Your role is already updated. If you manage it with the qovery-role-creation CloudFormation stack, update the stack to the latest template. Romain is a staff engineer at Qovery working on the control plane and AI integrations. He writes about distributed systems, incident response, and MCP-based tooling.

Sandbox Environments for AI Agents: A Full, Isolated Stack for Every Task

A code sandbox like Daytona or E2B isolates a process. A sandbox environment isolates a whole stack: services, databases, queues and configuration, cloned for one agent task and destroyed when it is done. Here is how sandbox environments work, what they are good for, and how to run them on 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.

How to Stop Secrets Leaking From Your Deployment Platform, and How Qovery Stores Yours

Railway's disclosure of leaked customer environment variables is a reminder that deployment platforms hold the keys to everything. Here is how secrets leak from platforms, the practices that prevent it or limit the damage, and exactly how Qovery stores secrets across its control plane and your data plane, with AWS Secrets Manager, Parameter Store, GCP Secret Manager, Doppler and Infisical. Romaric founded Qovery to make Kubernetes accessible to every engineering team.

One Platform, Three Borders: Multi-Tenancy Isolation on Cycle

When it comes to multi-tenancy isolation, most platforms only support one approach, and you have to make it work for every customer. Usually that means either all tenants share the same infrastructure and rely on the application to keep them apart, or every customer gets a separate stack that your ops team has to deploy, patch, and monitor on its own. Both approaches work. The trouble is that they're rigid.

Building a resource optimization agent with Kubex: Patterns

The rise of large-language models (LLMs) that can understand and create text, and reason about problems has opened the door for software agents that use the reasoning power of LLMs to interact with the wider world and solve problems. At Kubex, our bread and butter is compute and GPU resource optimization, so it’s natural for us to ask how agents could help our customers more effectively optimize their resources.

AI Changed How We Work. It Didn't Change What Your Platform Needs to Do.

If you've spent any time in an engineering Slack lately, you've probably noticed that AI comes up in just about every conversation. Someone's using an assistant to scaffold a new service. Someone else has an agent triaging alerts overnight. And at least one person is asking whether all of this means the team can finally skip the "platform stuff.".

Where to Find GPU Capacity in 2026: Hyperscalers, Neoclouds and Regional Clouds

Google, CoreWeave and Nebius all say they are short of GPUs. Here is where capacity still exists in 2026, which GPU clouds offer managed Kubernetes, how to connect a second cloud to your first one, and how to run GPU services on all of them from one platform. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.