Qovery Joins the AWS ISV Accelerate Program
For years, Qovery has simplified infrastructure and DevOps automation for companies around the world, and now, as an AWS ISV Accelerate Partner, we are set to amplify our impact. This partnership signifies our commitment to delivering best-in-class solutions on AWS, backed by AWS’s co-sell support and global reach.
Advantages of Joining the AWS ISV Accelerate Program
Strategic Collaboration
The AWS ISV Accelerate Program enables a closer partnership between Qovery and AWS. By working hand in hand with AWS experts, we can bring even more robust solutions to the market. This collaboration ensures that our customers benefit from a seamless deployment experience, quick onboarding, and optimized infrastructure solutions that scale effortlessly on AWS.
Market Expansion
Joining the AWS ISV Accelerate Program expands our customer reach. Customers can access Qovery solutions via AWS's marketplace, enjoying easier procurement and co-selling with AWS teams. This accelerates infrastructure scaling using AWS and Qovery.
Technical Enablement
The AWS ISV Accelerate Program provides Qovery with a wealth of technical resources and guidance, empowering us to enhance product offerings tailored for AWS customers. From comprehensive training on AWS services to best practices and meticulous architectural reviews, Qovery is well-equipped to ensure our solutions are compatible and optimized for the cloud.
Conclusion
Joining the AWS ISV Accelerate Program marks a new chapter for Qovery, reinforcing our commitment to simplifying cloud infrastructure for developers everywhere. With AWS’s global support and the enhanced collaboration between our teams, we’re poised to help businesses scale faster while reducing DevOps complexity.
If you want to learn more about how Qovery’s AWS integration can benefit your team or infrastructure, please reach out or schedule a demo. Discover the power of this partnership and how it can transform your approach to cloud infrastructure management.
--
Special thanks to Aurore Poirier (AWS Partner Development Manager) for her invaluable support throughout this process
.svg)
.svg)
.svg)
Suggested articles
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.
Kubernetes is an open-source platform that automates the deployment, scaling, and management of containerized applications. While originally designed to orchestrate single-cluster workloads, modern enterprise use cases require managing Kubernetes at fleet scale, coordinating thousands of clusters across multi-cloud environments to enforce cost governance, security policies, and automated lifecycle management.
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.
.webp)