Today, we are thrilled to announce workers are generally available on Koyeb! You can now easily deploy high performance workers to process background jobs in all of our locations. It's now simple to deploy workers from a GitHub repository and rely on our built-in CI/CD engine: simply connect your repository and we build, deploy, and scale your workers on high-performance servers all around the world.

Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.

Making sense of testing is one of the biggest challenges our customers face in their day-to-day work. We’re excited to announce that the new Data Export capability in Tricentis qTest makes it easier for QA and engineering leaders to bring their teams’ work into context with data from across the business. Data Export makes your historical data available for download via API, seeded first by an initial download of historical data, then followed by a daily update.

Discover powerful exception-handling techniques in Python with this comprehensive guide. Learn about nested try-except blocks, catching and re-raising exceptions, handling exceptions in loops and async code, creating custom exceptions, and more.

Ever had your live app crash after a new update, forcing you to spend your weekends fixing it? Let us guess, an enthusiastic developer introduced a change without testing it thoroughly. But it’s not just app development that can go rogue. Whether it's last-minute changes to client reports, tweaks to your marketing campaign, or any other update in a live setting, unexpected problems can crop up.

With demands on software development teams to work faster than ever before, efficiency is King. Many teams are implementing test automation to boost productivity, as manual testing can be time-consuming and error prone. Test automation revolutionizes the testing process. It enables you to automatically publish test results from various automation frameworks directly into your test management environment.

The Python web framework Django is an excellent choice for building performant web apps. Disqus, Pinterest, and Instagram are all built on a Django foundation. Django offers simplicity, flexibility, reliability, scalability, and all the tools you need to build a web app from admin to authentication to ORM. But this “batteries included” approach has disadvantages. It can hide a lot of the true complexity of an app from developers. Django ORM is a great example.

In the complex and rapidly evolving landscape of software development, the ability to make swift, well-informed decisions can be the dividing line between success and missed opportunity. As development cycles shrink and user demands grow, navigating the waters of software testing requires not just precision, but also clarity. This is where Katalon TestOps steps in with its game-changing feature: Virtual Data Analyst (VDA), powered by GPT technology.

Introducing Confluent Platform version 7.5, which offers a range of new features to enhance security, improve developer efficacy, and strengthen disaster recovery capabilities. Building on the innovative feature set delivered in previous releases, Confluent Platform 7.5 makes enhancements to three categories of features: The following explores each of these enhancements and dives deep into the major feature updates and benefits.

In today's digital era, a data warehouse stands as a pivotal cornerstone for businesses. A data warehouse is defined as a digital repository that houses an organization's vast amounts of data, it serves as both a vault and a library, ensuring data is not only safely stored but also easily accessible. Being able to access your company’s data is critical to business success.