Qovery now fully supports ARM and AWS Graviton instances! This exciting update means you can now enjoy a whole new level of efficiency and cost-effectiveness when running your cloud workloads on Qovery. In this article, we'll dive into the many benefits of using AWS Graviton instances and discuss some potential downsides to ensure you make an informed decision. And, of course, we'll guide you through the simple process of migrating from AMD64 to ARM with Qovery's help.

Software developers need controlled and isolated environments to try new features, bug fixes, and other changes before deploying them to production. This separation captures possible issues early, reducing the risk of live environment errors or performance issues. Teams can experiment with various configurations, tools, and technologies in test environments, fostering innovation and development.

The first quarter of the year is ending, and even though we have plenty of news in stock for the next one, it’s now time to go through our quarter retrospective. In case you missed anything, here are the most important releases of Q1!

As businesses grow and evolve, their needs for cloud services change too. This is especially true for companies that start with a Platform-as-a-Service (PaaS) solution like Heroku but need more control over their environment and customization options as they scale. This is where Amazon Web Services (AWS) comes in. Migrating from Heroku to AWS can be a complex process, but it allows businesses to scale their infrastructure and customize their environment to meet their specific needs.

The ability to scale your applications is crucial for businesses, enabling them to manage growing user traffic, maintain application performance, and expand the business efficiently. Heroku has become one of the most popular platforms for this purpose due to its user-friendliness, rapid deployment, and support for various programming languages. Despite its powerful infrastructure and beneficial features, scaling on Heroku presents certain challenges in terms of high cost and poor performance.

I am excited to announce the partnership between Qovery and Doppler. Qovery is an infrastructure automation platform that helps developers deploy their applications more easily, while Doppler is a fully managed SecretOps platform that enables engineering teams to better manage their environment variables and secrets.

Today, I'm excited to share with you how we've turned Kubernetes into a product that developers can easily use without any headaches. We'll explore why Kubernetes can be difficult for developers and how Qovery simplifies the process by acting as an intermediate layer and integrating with the developer ecosystem.

Cloud technology is growing rapidly, and we see a new cloud service almost every day. Deploying your product releases rapidly and efficiently is crucial for any business. AWS, being the market leader in the cloud world, has a lot of tools and services which facilitate deployments. Last year, we discussed different deployment options on AWS. Now that AWS has launched some new features, we will present the 2023 version of our previous article on the best AWS deployment options in 2022.

We are thrilled to announce our partnership with Kubecost, a game-changing provider of cost monitoring for Kubernetes clusters. This collaboration marks a new era in efficiency and cost-effectiveness for DevOps teams everywhere. With Kubecost's advanced monitoring capabilities integrated into our own Kubernetes deployment platform, we are empowering organizations to take control of their cloud-native infrastructure like never before.

Deploying and managing applications in the cloud can be complex and time-consuming, especially when using Kubernetes. However, Qovery has made this process much easier with its platform abstracts away the complexity of Kubernetes and provides developers with the tools they need to manage their deployments. But how does Qovery manage thousands of Kubernetes clusters with a single control plane?

When it comes to deploying web applications, two popular options are Heroku and AWS Elastic Beanstalk. While both services aim to simplify the deployment process, they differ in several key areas. In this article, we'll compare Heroku and AWS Elastic Beanstalk and discuss the pros and cons of each service.