Qovery's Top 10 Blog Posts of 2022 to Read in 2023
- How to become HIPAA compliant on AWS in 2022. This article will walk you through what to consider on AWS to be HIPAA compliant in 2022.
- A Guided Tour of Streams in Rust. While many guides provided an in-depth insight into futures, they sorely lacked information on how the Stream API works in Rust. And, more importantly, on how to use it properly. This is why this article focuses on introducing streams in the context of Rust.
- Your CI GitFlow is Broken. In this article, We will explain why using a single testing environment breaks the GitFlow benefits and introduce a solution to get dynamic testing environments per branch - Preview Environments.
- 6 Reasons Why we Choose to Use Nx (And Why You Should Too). At Qovery, we have been using Nx since our V2, and recently we built the V3 of our Console with it. We decided to keep it, mainly thanks to the 6 points we will cover in this article.
- How to Fix a Freeze Between React Pages Swap - with Dom, VDom, Painting. At Qovery, we take great care about the global reactivity of our product and in this article, we are going to dismantle the last freeze between two pages that we experienced because we learned many interesting things during the fixing process.
- The 10 Platform Engineering Tools To Use in 2022. A few weeks ago, we wrote a great article about Platform Engineering and how to get started; well, now that you know much more about it, you might want to explore the best Platform Engineering tools to use in 2022.
- Everything I Wanted To Know About Kubernetes Autoscaling. In this article, we'll cover how pod autoscaling works, how it can be used, when it's exciting and not, and finally, we'll cover it with a Qovery usage we have internally.
- Scaling Your CI/CD: What You Need To Know. In this article, we will discuss why scaling your CI/CD is an inevitable need for your organization. We will go through the goals of a scaled CI/CD and how to achieve those goals.
- From Struggle to Success: How We Solve Common DevOps Challenges. Even experienced DevOps are still struggling in their day-to-day work for several reasons, in this article, we will explore why and how we solve common DevOps Challenges.
- How to Scale DevOps: 5 Keys to Success. There is no single recipe to scale DevOps, as the needs of every company vary. However, we have managed to identify some steps which can ensure an efficient scaling of your existing DevOps processes. Let's go through all five steps one by one.
"Stay tuned! We have a lot of exciting things planned for the coming year.”
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Suggested articles
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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.
In the 2026 regulatory landscape, manual audits are a liability. This guide explores using GitOps to generate DORA-compliant audit trails through IaC, drift detection, and automated segregation of duties. Discover how the Qovery management layer turns compliance into an architectural output, reducing manual overhead for CTOs and Senior Engineers.
Kubernetes success is determined by Day 2 execution, not Day 1 deployment. While migration is a bounded project, maintenance is an infinite loop that often consumes 40% of senior engineering capacity. To protect margins and velocity, enterprises must transition from manual toil to agentic automation that handles scaling, security, and cost.
Day-0 is planning, Day-1 is deployment, and Day-2 is the infinite lifecycle of maintenance. While Day-0/1 are foundational, Day-2 is where enterprise operational debt accumulates. At fleet scale (1,000+ clusters), managing these differences manually is impossible, requiring agentic automation to maintain stability and eliminate toil.
A multi-cluster Kubernetes architecture distributes application workloads across geographically separated clusters rather than a single environment. This strategy strictly isolates failure domains, ensures regional data compliance, and guarantees global high availability, but demands centralized Day-2 control to prevent exponential cloud costs and operational sprawl.
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