Blog
Product
3
minutes

July 2020, What's new? Qovery Business, Web Interface, Faster deployments

Hello and welcome to another issue of This Month in Qovery! Qovery helps developers to deploy their applications in the Cloud in just a few seconds. This is a monthly summary of its progress and community. Do you build something with Qovery? Do you want to be mentioned? Tweet us at @Qovery_ or reply to this email. Want to get involved? Join the community. WE ARE HIRING👨‍💻 Needless to say - we are hiring passionate engineers.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

Product updates

Qovery for business

Qovery for business is under heavy development to be ready early September 2020. Compared to our community package, Qovery business helps companies deploy their applications on their Cloud account. Read more...

Deploy your full stack apps on any cloud service provider with Qovery

Web Interface

The team is working hard to make the web interface live as soon as possible. We are looking for an experienced frontend developer to join us and help us make it live faster. We expect to release a beta version this month.

Qovery web interface - development in progress

Faster deployments 🚀 (updated)

Before June: deploying an application with a database could lead to waiting 20 minutes.
J̶u̶n̶e̶:̶ ̶d̶e̶p̶l̶o̶y̶i̶n̶g̶ ̶a̶n̶ ̶a̶p̶p̶l̶i̶c̶a̶t̶i̶o̶n̶ ̶w̶i̶t̶h̶ ̶a̶ ̶d̶a̶t̶a̶b̶a̶s̶e̶ ̶t̶a̶k̶e̶ ̶l̶e̶s̶s̶ ̶t̶h̶a̶n̶ ̶3̶ ̶m̶i̶n̶u̶t̶e̶s̶
July: deploying an application with a database take less than 2:30 minutes.
Thirty seconds less is a substantial gain per deployment, which is counted when you run hundreds in a day. In the coming weeks, we expect to go below 1 minute.

Feedback / Roadmap

Your feedback is welcome, they help to improve our product, and we'll do our best to do them. Also, do not hesitate to vote for wanted features or submit your ideas.

Community

Hasura Con' 2020 (Video Record)

Hasura is a turnkey engine that connects your micro-services and database to generate a real-time GraphQL API. That is super cool. Hasura and Qovery is a perfect match to deploy production-ready GraphQL service in just a few seconds. That's why the Hasura team invited us to show the world what we do.

Passionate developer?

Do you like to share your knowledge and your passion for the code? We are looking for two technical writers for an ambitious new project. Interested? Reply to this email to find out more.

Resource highlights

- Article: Our CEO interviewed 200 CTOs from growing startups - here's what came up

Romaric and Morgan interviewing CTOs

- Article: Qovery and the Twelve-Factor App methodology
- Tutorial: How to deploy a full-stack application (Hasura, PostgreSQL, Angular)
- Article: A month after switching from Slack to Discord in a tech startup
- Article: Network isolation in Kubernetes
- Article: Differences between Heroku and Qovery
- Tutorial: Creating a blazing fast REST API in Rust (Part 1/2)
- Tutorial: How to deploy a Docker container
- Tutorial: How to deploy Django with PostgreSQL (Python framework)

What's next?


- Web interface: The first release of the Qovery web interface is expected for next month (July).
- Qovery Business: We plan to launch a beta version of Qovery Business - To deploy Qovery on your own Cloud account.
- Feature: Redis Support
- Feature: Memcached Support
- Feature: Support Monorepository

The Qovery Team

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

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
Kubernetes
Terraform
 minutes
Managing Kubernetes deployment YAML across multi-cloud enterprise fleets

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé
Senior Marketing Manager
Kubernetes
Cloud
AI
FinOps
 minutes
GPU orchestration guide: How to auto-scale Kubernetes clusters and slash AI infrastructure costs

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé
Senior Marketing Manager
Product
AI
Deployment
 minutes
Stop Guessing, Start Shipping. AI-Powered Deployment Troubleshooting

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano
Head of Product
AI
Developer Experience
Kubernetes
 minutes
MCP Server is the future of your team's incident’s response

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Romain Gérard
Staff Software Engineer

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.