Welcome to the second post in a series of “Implementing Microservices on AWS with the Twelve-factor App”. In the first post, we covered the areas around the codebase, configuration, code packaging, code builds, and stateless processes. This article will go through the remaining areas for best practices in microservices. Let’s start the discussion with Port mapping!

The Twelve-Factor methodology is a set of best practices for developing microservices applications. These practices are segregated into twelve different areas of application development. Twelve-factor is the standard architectural pattern to develop SaaS-based modern and scalable cloud applications. It is highly recommended by AWS if you are building containerized microservices. In this article, we will guide you on how to develop applications that will use microservices deployed on containers in AWS.

While meetings are part of today's organizations, they can also bring some frustration preventing one from scratching its TODO list. It can be a good idea to try to promote asynchronous mediums such as Notion pages, Slack channels, etc. This page aims to bring some insights regarding WHEN / WHY holding or not a meeting.

Hi, fellow Qovery readers, Albane here! 👋 To give you a bit of background, I joined Qovery in August 2021, initially as a Product Owner, then moved to a Product Marketing Manager position in March 2022. So yes, I’m all about our product. However, I also spend much time learning about our partner’s products, and that’s why, on April 27, 2022, I spent the day at the ExCel Centre in London to attend the annual AWS Summit.

We are in May 2022, and hundreds of startups have built their infrastructure on AWS using Qovery. This article will share the 10 best (and fancy) AWS architectures our customers have made. From the most classic architecture to the craziest 🤪 It can give you some ideas. Let's go 🚀

AWS ELB (Elastic load balancer) automatically distributes incoming application traffic across multiple targets and virtual appliances in one or more Availability Zones (AZs). That helps you achieve high availability and fault tolerance. In this article, we will share with you some tips that will help you best utilize AWS load balancer. We will also provide insights on the best use cases of ALB and NLB, which are the two most commonly used load balancers.

In 2020, my co-founders and I had this crazy idea of bringing a better Developer Experience on top of AWS. You know, the one that you can easily use with "the promise of the cloud" that any developer can take advantage of and deploy their next successful product in seconds. Somehow, the missing product of AWS 😅. This is where Netlify was an excellent source of inspiration. A nice Developer Experience, where deploying an application is as simple as pushing your code on Git.

Using containers for microservices has gained a lot of popularity in the last decade or so. Developing the application through microservices across multiple containers results in the best of both worlds. It provides resilience as well as agility through scaling and improvements. Before we dwell on how containers and microservices form an ideal combination, let’s start with a basic understanding of microservices and containers.

During the past two weeks, our Frontend and Backend teams were busy bees 🐝 with a particular sprint dedicated to bug hunting �� and improvements! Yes, both of the two weeks sprints were dedicated to bugs and improvements ONLY: tracking them, then solving them; gotta catch ‘em all 🚀

Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that makes it easy for you to deploy, manage and scale containerized applications. Although ECS is a managed service and hides many complexities under the hood, there have been many cases where startups have not been able to take full advantage of ECS due to slow deployments. In this article, we will share some tips to improve deployment speed on ECS. We will try to cover both EC2 tasks and Fargate tasks.