Qovery is a G2 Momentum Leader for 2023
In about three years, Qovery's DevOps automation software has become the leader of the Infrastructure automation category, which we graciously attribute to the trust and collaboration established with each of our customers.
But enough talk, let me show you what our customers think about us and you’ll understand how we achieved the momentum leader badge!
Why Users Love Qovery
Easy Customization
Santiago R - Co-Founder and CTO
What do you like best about Qovery?
When I first learned about Docker I loved the idea of being able to have utilities like a cache server, or streaming server, or any database by simply copying a Dockerfile from Docker Hub. Bringing this idea to production requires challenges like orchestrating with Kubernetes and the complexity of cloud provider network interfaces. Or worse, the madness of permissions management like AWS's IAM. Qovery removes all the insecurities and allows you to have an application with components as diverse as background tasks, databases, test environments, environment variables and even Cron tasks running in seconds. Without all the hassle.
What problem is Qovery solving, and how is that benefiting you?
Kubernetes management on AWS made simple. It is now possible to have a very customized deployment of almost anything you can imagine without having to configure network interfaces and manage permissions.
Improve Team Velocity
Yann T - CTO
What do you like best about Qovery?
Qovery is very simple yet very powerful. It Helped us bootstrap our entire infrastructure, spawning multiple environments, production and preview / QA environments without any effort or even heavy DevOps background. It empowers our team to adopt a full continuous deployment and speed up the value added by our platform to our customers. They also iterate and improve their platform at a breakneck pace, which allows us to access new features on a daily/weekly basis.
What problem is Qovery solving, and how is that benefiting you?
Being able to deploy faster, and on multiple environments without investing in complex DevOps or cloud infrastructure.
Infrastructure Management (with Terraform here)
Wallerand D - Engineer
What do you like best about Qovery?
We moved from Heroku to Qovery with a monolith and some microservices. We liked being able to use Terraform for managing all our infrastructure. Qovery's dashboard is straightforward to use and the team is always responding in few minutes!
What problem is Qovery solving, and how is that benefiting you?
Reduced costs on AWS infrastructure without managing a complex Kubernetes.
Share your feedback
Are you a Qovery user? Feel free to share your feedback on G2.
.svg)
.svg)
.svg)
Suggested articles
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
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.
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.
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.
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.
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.
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.
.webp)