The Future of Qovery - Week #4
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: The Future of Qovery - Week #3.
Deploy your apps on multiple cloud providers with Qovery
Deploying multiple Cloud service providers (CSP) helps not be vendor-locked, providing more reliable service to your users and reducing your Cloud cost. In this post, I explain how Qovery pragmatically* provides multi-cloud for your apps.
How does Qovery manage multi-cloud?
For years you had to choose the Cloud service provider you wanted to use. Once you made your choice, it was almost impossible to change for another one. Moving an app from a Cloud provider to another one is very hard if your app has not been designed with this aspect in mind. Building abstraction at the application level is complex and requires a lot of engineering effort, which leads to more extended product development. This is why Qovery is built on top of CSPs to provide the abstraction layer below your apps to simplify your app's deployment on any CSP and extend your Cloud capabilities.
Keep your production on AWS, put your dev environments on Digital Ocean.
With Qovery's DevOps automation tool, you choose where your environments run. For instance, you can keep your production on AWS and put your development environments on Digital Ocean. This is what I call "pragmatic multi-cloud". Multi-cloud for each environment brings tons of advantages with almost no downside like:
- Huge Cloud cost reduction: keeping your production on the most reliable CSP and moving out your dev environments on a cheaper one is the pragmatic way to reduce your cost up to 10 times.
- Predictable performances: all your apps will use the same network and resources within the same environment, which means very low latency with the same hardware specs.
- No vendor-locked: you can move an environment from one CSP to another.
- No outbound/inbound network cost between CSPs.
We are building the future of the Cloud.
This is the first step of what we want to build at Qovery. Creating this abstraction layer on top of the best CSPs in the world allows us to provide a new set of features. (🤫 I will reveal more in the following weeks)
> Possibilities are endless, and I am eager to hear what you have in mind and what you would love to see coming next. Would you?
--
See you next week -- same hour, same place 👋
Romaric from Qovery -- We are hiring.
.svg)
.svg)
.svg)
Suggested articles
Kubernetes success is determined by Day 2 execution, not Day 1 deployment. While migration is a bounded project, maintenance is an infinite loop that often consumes 40% of senior engineering capacity. To protect margins and velocity, enterprises must transition from manual toil to agentic automation that handles scaling, security, and cost.
Day-0 is planning, Day-1 is deployment, and Day-2 is the infinite lifecycle of maintenance. While Day-0/1 are foundational, Day-2 is where enterprise operational debt accumulates. At fleet scale (1,000+ clusters), managing these differences manually is impossible, requiring agentic automation to maintain stability and eliminate toil.
Stop overpaying for Kubernetes observability. Learn how in-cluster monitoring and AI-driven troubleshooting with Qovery Observe can eliminate APM ingestion fees, reduce SRE bottlenecks, and make your cloud costs predictable.
Stop fighting cluster sprawl. Learn why traditional scripting and GitOps fail at scale, and discover how to achieve fleet-wide consistency without the complexity of Kubernetes Federation.
Looking to automate your Kubernetes environment in 2026? Discover the top automation tools, their weaknesses, and why scaling your infrastructure requires a unified management platform.
As the AI race shifts from hardware acquisition to GPU utilization, success is now an orchestration problem. Learn how to bridge the 84% capacity gap, eliminate "ghost" expenses, and leverage AI infrastructure copilots to maximize ROI in 2026.
.webp)