For scaling businesses, transitioning from PaaS (Platform as a Service) to IaaS (Infrastructure as a Service) is less about a choice and more about necessity. Staying on PaaS too long can result in skyrocketing costs, limited flexibility, and performance bottlenecks — challenges that only grow as your workloads and team scale.

At Qovery, we are closely following the development of EKS Auto Mode, a new feature from AWS designed to simplify Kubernetes management by automating various foundational components. While we recognize the effort AWS has put into this, our initial evaluation shows that EKS Auto Mode is still in its early stages and does not yet offer sufficient value to be a strong consideration for our users.

Integrating security into your DevOps pipeline isn’t optional anymore—it’s essential. From the moment you commit code to the moment it’s deployed, security should be automated and invisible. By embedding security practices directly into your CI/CD pipeline, you reduce risks and improve your speed. The best part?

I recently had a conversation with one of our customers at AWS re:Invent that made me rethink the true value of automation. This customer told me, “You’ve automated so much for us that we almost forget about Qovery. Nobody even asks how to do things anymore.” That statement stuck with me.

Managing Kubernetes clusters has always been a significant challenge. AWS’s recent announcement of EKS Auto Mode aims to simplify this by automating key operational tasks like compute scaling, networking, and storage management. While it’s a step forward for reducing complexity, it doesn’t address all the unique needs of growing startups and mid-sized companies.

As businesses scale, managing infrastructure becomes increasingly complex and distributed, leading to challenges in consistency, performance, and security. Manual configurations and outdated practices can no longer meet the demands of today’s highly competitive businesses. To tackle these issues, adopting a phased approach; Day 0, Day 1, and Day 2; provides a practical roadmap for scaling infrastructure automation effectively.

We're excited to announce a significant enhancement to Karpenter, an intelligent Kubernetes autoscaling solution that automatically optimizes your infrastructure costs and performance. Since integrating Karpenter six months ago, it has helped our users automatically provision the right AWS instances for their workloads.

Managing resource scaling in EKS clusters can quickly become complex, especially with fluctuating workloads. Traditional autoscaling solutions often require predefined configurations, which can lead to inefficiencies and unnecessary costs. This is where Karpenter comes in—a powerful, open-source project designed to dynamically manage and scale nodes in response to real-time application demands.

Startups relying on Heroku often hit roadblocks as they scale. Rising costs, technical limitations, and lack of control over infrastructure force many to explore alternatives. One such startup recently migrated 37 applications from Heroku to AWS using Qovery’s DevOps AI Migration Agent. Here’s how they accomplished this migration in less than two hours, saving days of manual work.

Sometimes, even when you’re running on a solid infrastructure like AWS EKS, a growing company needs to rethink how they manage it. One startup, fresh off a successful Series A raise, found themselves in just that situation. They had been running two EKS clusters — Production and Staging — managed entirely by their CTO, who is an experienced AWS power user.