Systems | Development | Analytics | API | Testing

The data landscape is constantly evolving, and with it come new challenges and opportunities for data teams. While generative AI and large language models (LLMs) seem to be all everyone is talking about, they are just the latest manifestation of a trend that has been evolving over the past several years: organizations tapping into petabyte-scale data volumes and running increasingly massive data pipelines to deliver ever more data analytics projects and AI/ML models.

Discover the art of software testing in Python! Uncover software testing fundamentals, explore diverse testing methodologies, and master essential best practices. Dive into a comprehensive tutorial on leveraging the power of the unittest module to conduct efficient and effective unit testing in Python.

In today's highly regulated industries, such as pharmaceuticals, medical devices, aerospace, finance, and more, ensuring compliance, efficiency, and accuracy in the testing process is crucial. Test case versioning plays a pivotal role in achieving these goals by providing a structured approach to managing changes in test cases and maintaining their integrity over time.

Azure Web Apps are like the best pizza delivery in town – fast, consistent, and always there when you need them. But like any good pizzeria, they need to be load tested to handle the maximum user load, especially during peak times like the big Saturday night rush.

We are happy to announce the release of the Koyeb CLI 3.0! This release brings three crucial improvements: Smoother flow for creating and updating services, reworked error messages to ease troubleshooting, and a new foundation to continue building out our CLI. If you want to get started using the Koyeb CLI to deploy your services and applications worldwide directly from your terminal, read the Koyeb CLI documentation and CLI reference.

Google recently introduced significant changes to its existing BigQuery pricing models, affecting both compute and storage. They announced the end of sale for flat-rate and flex slots for all BigQuery customers not currently in a contract. Google announced an increase to the price of on-demand analysis by 25% across all regions, starting on July 5, 2023.