Blog
Product
3
minutes

Discover 8 New Major Features on Qovery - May 2024 Edition

At Qovery, our team has been working hard to introduce new features to enhance your development experience. Here are the eight major features we've rolled out in the last four months. 🔥
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon
Watch the complete Qovery Demo Day May 2024 here.

1. Qovery on Your Local Machine

Now, you can try Qovery on your local machine with just one command: qovery demo up. The only requirements are Docker running and 2 vCPU with 4GB RAM available. This feature allows you to explore Qovery without any restrictions or time limits, completely free of charge.

Check out the announcement.

2. Bring Your Own Kubernetes with Qovery

Installing Qovery on your Kubernetes cluster is now straightforward with the command qovery cluster install. This command initiates a simple wizard that generates a Helm chart for you to review and apply. This feature is fully accessible without any restrictions or time limits, and it is free.

Check out the documentation.

3. Manage Kubernetes Annotations

Qovery now allows you to manage your Kubernetes annotations with an intuitive and powerful interface, giving you greater control over your Kubernetes deployments.

Check out the announcement.

4. Karpenter Integration

We have rolled out Karpenter, a highly cost-efficient Kubernetes node autoscaler, in public beta. Karpenter supports spot instances and GPUs, enabling significant cost savings on AWS. Learn more about Karpenter and how it can reduce your AWS costs by up to 60% here. Check out this article for deploying AI applications with GPUs on AWS EKS and Karpenter.

Click here to join the beta

5. Helm Deployment Improvement

We have simplified Helm deployments by eliminating the need to add Qovery macros into your Helm values file. Qovery now automatically injects them via a Kubernetes Admission Controller, making the deployment process smoother.

6. Qovery Cloudshell

Access your applications and databases with Qovery's remote shell access directly from your web browser. With one click, you're connected to your apps, providing a seamless remote access experience.

7. New Service List

We are continually working to simplify the deployment of any type of application within Qovery. Our new service list is designed to make this process more intuitive, ensuring quick and easy application deployment.

8. Contextual Helper

We have introduced a consistent way to offer assistance within Qovery at any point in your journey. The contextual helper provides comprehensive help from our documentation, forum, and, if needed, our support engineering team.

Bonus: Qovery Portal

Watch the end of our demo day to discover the Qovery Portal and get a sneak peek at what we are preparing for Qovery V4.

It's a wrap

Our commitment at Qovery is to make the most enjoyable Internal Developer Platform for Platform Engineers and Developers. We aim to continuously innovate and improve, ensuring that our platform remains intuitive, powerful, and developer-friendly. Stay tuned for more exciting updates and features as we strive to enhance your development experience.

Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

Kubernetes
10
 minutes
How Kubernetes works at enterprise scale: mastering Day-2 operations

Kubernetes is a distributed orchestration engine that automates container deployment and scaling. At an enterprise level, its core mechanisms—control planes, schedulers, and worker nodes—provide foundational infrastructure resiliency. However, operating these components natively across thousands of clusters creates massive configuration drift, requiring intent-based control planes to manage Day-2 FinOps, RBAC, and multi-cloud abstraction globally.

Romaric Philogène
CEO & Co-founder
Engineering
DevOps
Platform Engineering
Kubernetes
10
 minutes
Everything you need to know about Kubernetes autoscaling and Day-2 FinOps

Kubernetes autoscaling relies on three dimensions: horizontal (pod count), vertical (resource size), and cluster (node count). While CPU-based scaling is standard, enterprise fleets require advanced Day-2 strategies (such as custom Prometheus metrics and priority-class overprovisioning) to prevent node boot delays and memory bottlenecks during severe traffic spikes.

Pierre Mavro
CTO & Co-founder
Kubernetes
 minutes
Stopping Kubernetes cloud waste: agentic automation for enterprise fleets

Agentic Kubernetes resource reclamation is the practice of using an autonomous control plane to continuously identify, suspend, and delete idle infrastructure across a multi-cloud Kubernetes fleet. It replaces manual cleanup and reactive autoscaling with intent-based policies that act on business state, eliminating the configuration drift and cloud waste typical of unmanaged fleets.

Mélanie Dallé
Senior Marketing Manager
Platform Engineering
Kubernetes
DevOps
10
 minutes
Kubernetes: the enterprise guide to day-2 operations and fleet management

Kubernetes is an open-source container orchestration engine. At enterprise scale, it abstracts infrastructure to automate deployment, scaling, and networking. However, managing hundreds of clusters introduces severe Day-2 operational toil, requiring agentic control planes to enforce global governance, security policies, and cost optimizations across multi-cloud fleets.

Morgan Perry
Co-founder
AI
Compliance
 minutes
Agentic AI infrastructure: moving beyond Copilots to autonomous operations

The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé
Senior Marketing Manager
Kubernetes
8
 minutes
The 2026 guide to Kubernetes management: master day-2 ops with agentic control

Effective Kubernetes management in 2026 demands a shift from manual cluster building to intent-based fleet orchestration. By implementing agentic automation on standard EKS, GKE, or AKS clusters, enterprises eliminate operational weight, prevent configuration drift, and proactively control cloud spend without vendor lock-in, enabling effective scaling across massive fleets.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
Building a single pane of glass for enterprise Kubernetes fleets

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to deploy a Docker container on Kubernetes (and why manual YAML fails at scale)

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé
Senior Marketing Manager

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.