Blog
Product
3
minutes

The easiest way to deploy your database - The Future of Qovery - Week #7

During the next three weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!

Read the previous article: Qovery goes beyond app deployment - The Future of Qovery - Week #6.

It has never been so easy to manage your database.

Applications that do not require a database are not usual. 96% of applications that our users deploy use at least a database.

Database usage repartition on Qovery

Fun fact, I remember ten years ago when MySQL was the primary relational database choice. Things have changed! Now it's PostgreSQL that is the first choice from what we see on Qovery.

Deploying your database should be hassle-free as deploying your application. But this is where most Cloud providers have failed. They never succeed in helping you as a developer to deploy your application WITH your database. This is precisely what Qovery fixes!

The easiest way to deploy your database!

Deploying a database with Qovery is as simple as clicking on "Add a database" - Sorry if you expected something more complicated than that 😁.

Create a database with Qovery

You have the choice between the type of the database and the version. Today we support PostgreSQL, MySQL, MongoDB, and Redis. We expect to support more databases in the future. A third option is the "Mode" of your database. "Managed Service" and "Container" - Using "Container" allows you to reduce your operational cost and "Managed Service" to increase availability and performance.

Database settings

Qovery supports proprietary databases.

You are using AWS DynamoDB, AWS SQS, and even Google Big Query? We are working on supporting those databases. I can't wait to talk about it in another thread. Be patient :)

Monitor your database

Qovery goes beyond app and database deployment. We ensure that your database operates well and runs efficiently. You will be able to keep an eye on the performances through your dedicated database summary page.

Database metrics

If you need to go into deeper details, you can install an APM add-on like Datadog and Newrelic.

Install your add-ons

Manage your backup

Finally, running your database is great, but keeping backups in case something goes wrong is better for your business. That's why Qovery will provide built-in database backup for everyone. This is up to you to enable database backup or not.

Database backup

Bonus: view what apps are using your database

You can view in one click all the applications relying on this database. Life is beautiful, isn't it? :)

View the link between your databases and your app

Conclusion

Deploying and managing your database should not be more complicated than deploying your front end or your backend. That's why the next release of Qovery will push simplicity farther than what we have today. My team and I are excited to release our next major version of Qovery's DevOps Automation tool. If you are interested in joining the beta in early June, let me know on Discord.

--

See you next week -- same hour, same place 👋

Romaric from Qovery -- We are hiring.

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.