As IT organizations attempt wide-scale cloud adoption, the importance of common best practices across applications and products is growing, sparking an exciting new conversation about platform teams and related disciplines like platform engineering. The problem statement driving the investment in platform teams is clear: developing, operating, and optimizing a modern application is becoming too complex for many product delivery teams to solve independently.

It’s almost impossible to create an optimized cloud system out of the gate and keep it running at a perfect balance over the long term. There’s almost always something that could benefit from some tweaks and adjustments. Cloud costs have a way of creeping up slowly while you’re not paying attention. And if you’re not careful, they can spiral out of control before you realize anything is happening.

Keeping track of your project-related activities can be an overwhelming task. With so many projects, tickets, users, and deployments happening simultaneously, having a clear and simple high-level overview of your entire organization is a very welcome addition to any team. That’s why we’ve created our Weekly Organization Activity Reports which will help to keep you on top of changes across various Projects within your organization.

The days of taking an afternoon off from work to head over to the bank are long gone. Banks have rapidly digitized, offering the vast majority of their services to customers remotely. Now users can save, invest, borrow, and make other financial transactions from the comfort of their smartphone, wherever they are. Despite this consumer-facing digitization, many banks have clung to the status quo when it comes to their field operations.

With a wealth of cloud-native and Kubernetes survey findings to examine, and with KubeCon Europe 2023 fast approaching, it is a good time to take stock of the state of Kubernetes deployment and the strides that have been made to simplify Kubernetes management.

As a software engineer, one of your goals is to ensure that your product can be accessed globally by your customers. It’s not enough that an app is bug-free and works flawlessly if it only works on localhost. Docker was introduced to solve the “it works on my machine” problem. For example, the particular version of a programming language a developer is using on Windows or MacOS may not be working on the hosting server.

Most companies today have multiple cloud instances with multiple cloud service providers (CSPs) as well as an on-premises environment. It’s complex, but that doesn’t make it inherently wrong—there are usually good business reasons behind the decisions. It does, however, create management challenges.

Data pipelines are the backbone of Machine Learning projects. They are responsible for collecting, storing, and processing the data that is used to train and deploy machine learning models. Without a data pipeline, it would be very difficult to manage the large amounts of data that are required for machine learning projects.

At Qovery, we understand the importance of transparency when it comes to pricing, especially for our customers who rely on our services to power their applications. One of the most frequently asked questions we receive is about our billing system, the meaning of "Active Developers," and how we adjust pricing based on usage.

Deployment automation can simplify and speed up your software delivery cycle. It can reduce risk, allow teams to easily test after changes are made, and help provide consistency for the overall development pipeline. If it sounds complicated, we’re here to break it down each step into a cheat sheet that provides tips and best practices for the deployment automation process.