Qovery's top 10 blog posts of 2021 to read in 2022
- Heroku vs AWS: What to choose in 2022. Learn the key differences between Heroku and AWS and find out which one is better to use from the startup perspective.
- Best Heroku Alternatives. A look at the most comprehensive and modern alternatives to Heroku to follow in 2022.
- Blazingly fast Preview Environments for NextJS, NodeJS, and MongoDB on AWS. Preview Environments is the most remarkable and most used feature we released in 2021. Here is an article showing how to take advantage of it with NextJS, NodeJS, and MongoDB.
- Zero to Hero - How to deploy your apps on AWS in 30 minutes. A step-by-step guide on deploying your apps on AWS in 30 minutes (no AWS knowledge is required).
- Best Practices and Tips for Writing a Dockerfile. Learn about the key characteristics of Dockerfiles and some best practices to be aware of when you’re writing your own Dockerfiles.
- Terraform vs Pulumi: What to Use in 2022?. Learn about infrastructure as code and the relevance of Pulumi and Terraform as two of the most popular tools in the industry.
- Heroku vs AWS: What is the cheapest for your startup?. Should you choose Heroku or AWS as a more affordable option? We explain in this article the key things to consider when it comes to moving.
- Feedback: Improving Developer Experience with Data Science. A look at how (and why) our engineers embrace a scientific approach to collecting data, making measurements, and taking data-driven actions to improve the Developer Experience.
- Terraform is Not the Golden Hammer. A deep dive into our own experience using Terraform, explaining where, when, and how you should use it.
- Announcement: Pleco - the open-source Kubernetes and Cloud Services garbage collector. Look at how (and why) our engineers have open-sourced an internal tool to save tons of time and money to clean up unused Kubernetes and Cloud resources automatically.
Stick around! We’re excited about what is coming up this year.
.svg)
.svg)
.svg)
Suggested articles
Is your GPU spend outpacing revenue? Discover how to transform AI infrastructure into a variable cost. Learn the strategies to auto-scale Kubernetes clusters and optimize cost-per-inference.
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.
.webp)