How Qovery Automates Hundreds of Production‑Ready Kubernetes Clusters
Deploying and managing hundreds of production‑ready Kubernetes clusters is complex, but Qovery’s open‑source engine automates provisioning, operation, and upgrades on AWS using Terraform, Helm, and Rust, cutting setup time from days to minutes while ensuring reliability across global workloads.
Key Points
Deploying a production‑ready Kubernetes cluster manually can take several days.
Without automation, managing a single cluster is difficult; managing hundreds is far harder.
Upgrading clusters requires extensive testing; it’s not a simple “press upgrade” operation.
Managing a Kubernetes cluster is hard; managing hundreds worldwide is even harder.
Qovery operates hundreds of production Kubernetes clusters on AWS, serving over 16,000 developers.
Background
Qovery enables users to deploy applications on AWS within seconds, targeting developers accustomed to Heroku’s simplicity while leveraging AWS’s flexibility. It uses Amazon EKS for running stateless workloads, and each user may have one or more clusters. The Qovery Engine, an open‑source Rust application, handles cluster provisioning and management.
Deploying a Production‑Ready Kubernetes Cluster
The Qovery Engine, built in Rust, automates the creation of VPCs, EKS clusters, ingress controllers, autoscalers, Loki, and S3 storage using Terraform, Helm, and the AWS API. This reduces the time to obtain a production‑ready cluster on AWS from weeks to about 30 minutes.
Running Kubernetes
Because Qovery relies on AWS‑managed EKS, the operational burden is reduced: etcd, master nodes, and network overlays are managed by AWS, ensuring continuous cluster availability.
Qovery adds value by simplifying application deployment and providing real‑time reporting of both application and cluster health via the Qovery Engine and Qovery Agent.
Keeping Kubernetes Up‑to‑Date
Kubernetes releases a new version roughly every ten weeks, making timely upgrades challenging. Qovery maintains a dedicated team that tests upgrades on temporary clusters before rolling them out. The Qovery Engine receives update commands from the control plane and performs rolling updates of worker nodes and related components such as Loki and ingress controllers.
Conclusion
This article shows how Qovery’s open‑source Rust engine automates the deployment, operation, and upgrade of hundreds of Kubernetes clusters, saving massive time and ensuring high availability.
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MaGe Linux Operations
Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.
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