Blog
Product
Qovery
3
minutes

Announcing Qovery V3: What's new?

Qovery V3, which is the most significant product evolution of the last twelve months, was launched in Alpha testing about two weeks ago now. We started gathering some feedback and also added some new functionality since then so let’s take a look on how’s going.
September 26, 2025
Albane Tonnellier
Product Marketing Manager
Summary
Twitter icon
linkedin icon

New functionalities

Following our goal of releasing an official Beta with all the features already available in the V2 by September, our team is working hard on all those core features and even more; let me walk you through the details.

Infrastructure logs

Those logs will facilitate the debugging and optimize the visibility and transparency of your infrastructure.

Now, the fun doesn’t stop there because if you have an error, an error tab will automatically display the information of the last issue in the logs.

Can’t wait to see what it looks like, well head to the console and find out for yourself, but if you really can’t wait, here is a snapshot of it:

Infrastructure logs

Soon to be accessible from the cluster page on the V3, it is now accessible from the organization panel on the V2:

Access to infrastructure logs

NB: We are still working on improving the error messages, so don’t hesitate to give a feedback if something is confusing 🙏🏻

Environment variables

Already available in the V2, the environment variable page is also here in the V3.

For the V3, the concept is a bit different as environment variables and secrets are merged; you can directly see the linked service, and soon you will even be able to create/edit your environment variable and deploy the application in one click.

Where can I find it in the V3?

On the console V3, head to the application page where you will see a “variable tab”, which should look like that:

Environment Variables tab

Now you might already be aware of the power that this feature hold but if you don’t, here is a demo of Environment Variables management on the V3:

Deployment rules

Here we will talk about “Deployments Rules at project level” (applied by default on any new environment).

It is already available in the V2 and ready for you to use in the V3.

Didn’t make the most of it in the V2? Well, a Deployment Rule lets you configure the lifecycle of your Environments.

Why use the Deployment Rule?

  • Cloud cost optimization Using the Deployment Rules is a good practice to reduce your cost drastically. Indeed, Qovery knows how to optimize your Cloud resources when your applications are not running. Then you can expect to reduce your Cloud cost by up to 60% using the Deployment Rules.
  • Time optimization Configuring your environments, managing, starting, and shutting down all take valuable time from your developers. Deployment Rules allow you to declaratively set up how your resources should be used, let Qovery do the dirty job, allowing your employees to focus on important things.

If you want to know everything about the deployment rules, check out our documentation.

Where can I find the deployment rules on the V3?

Just head to the environment panel where you can find the “Deployment Rules” tab like, shown right below:

Deployment rules tab

Feedback

It’s hard to get everything right from the start, and we are fortunate to have Alpha testers looking out for bugs or confusing flow in the V3, from design to reviewing the logs, our testers are an excellent help for the whole team, here is a small example:

Alpha tester feedback
PM answer

Wrapping up

If you are an Alpha tester, thank you for making the V3 better with all your feedback, and if you’re not part of it, we hope you are as excited as us to try the Beta version that will be available to use in September. 💜

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
8
 minutes
Kubernetes management in 2026: mastering Day-2 ops with agentic control

The cluster coming up is the easy part. What catches teams off guard is what happens six months later: certificates expire without a single alert, node pools run at 40% over-provisioned because nobody revisited the initial resource requests, and a manual kubectl patch applied during a 2am incident is now permanent state. Agentic control planes enforce declared state continuously. Monitoring tools just report the problem.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
6
 minutes
Kubernetes observability at scale: how to cut APM costs without losing visibility

The instinct when setting up Kubernetes observability is to instrument everything and send it all to your APM vendor. That works fine at ten nodes. At a hundred, the bill becomes a board-level conversation. The less obvious problem is the fix most teams reach for: aggressive sampling. That is how intermittent failures affecting 1% of requests disappear from your monitoring entirely.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
 minutes
How to automate environment sleeping and stop paying for idle Kubernetes resources

Scaling your deployments to zero is only half the battle. If your cluster autoscaler does not aggressively bin-pack and terminate the underlying worker nodes, you are still paying for idle metal. True environment sleeping requires tight integration between your ingress layer and your node provisioner to actually realize FinOps savings.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
DevOps
6
 minutes
10 best Kubernetes management tools for enterprise fleets in 2026

The structure, table, tool list, and code blocks are all worth keeping. The main work is fixing AI-isms in the prose, updating the case study to real metrics, correcting the FAQ format, and replacing the CTAs with the proper HTML blocks. The tool descriptions need the "Core strengths / Potential weaknesses" headers made less template-y, and the intro needs a sharper human voice.

Mélanie Dallé
Senior Marketing Manager
DevOps
Kubernetes
Platform Engineering
6
 minutes
10 best Red Hat OpenShift alternatives to reduce licensing costs

For years, Red Hat OpenShift has been the safe choice for heavily regulated, on-premise environments. It operates as a secure fortress. But in the public cloud, that fortress acts as an expensive prison. Paying proprietary per-core licensing fees on top of your standard AWS or GCP compute bill is a redundant "middleware tax." Escaping OpenShift requires decoupling your infrastructure from your developer experience by running standard, vanilla Kubernetes paired with an agentic control plane.

Morgan Perry
Co-founder
AI
Product
3
 minutes
Qovery Skill for AI Agents: Deploy Apps in One Prompt

Use Qovery from Claude Code, OpenCode, Codex, and 20+ AI Coding agents

Romaric Philogène
CEO & 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
What is Kubernetes? The reality of Day-2 enterprise fleet orchestration

Kubernetes focuses on container orchestration, but the reality on the ground is far less forgiving. Provisioning a single cluster is a trivial Day-1 exercise. The true operational nightmare begins on Day 2. Teams that treat multi-cloud fleets like isolated pets inevitably face crushing YAML configuration drift, runaway AWS bills, and severe scaling bottlenecks.

Morgan Perry
Co-founder

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.