As of k6 version 0.43.0, xk6-browser is now bundled in k6 as an experimental module! 🙌 Since announcing xk6-browser in November 2021 at Grafana ObservabilityCON, the team have been busy adding on new features to include browser automation in k6. The interest from the community has also increased, which shows that browser automation and frontend performance is as important as backend performance.

Advancements in technology and other factors have contributed to the continued growth of the eCommerce industry. This growth has led to the development of different eCommerce platforms, plugins, tools, and other resources that can help businesses drive revenue generation and save time during their operations. Unfortunately, it can get confusing for new eCommerce business owners to choose the right tools and resources.

Extract, Transform, Load (ETL), and Extract, Load, Transform (ELT) pipelines are standard data management techniques among data engineers. Indeed, organizations have long been using these processes to create effective data models. However, there has recently been a remarkable rise in the use of Software-as-a-Service (SaaS) based customer relationship management (CRM) apps, such as Salesforce, Zendesk, Hubspot, Zoho, etc., to store and analyze customer data.

In a fast-paced world that produces more data than it can ingest, the right Python ETL tool makes all the difference. But not all Python tools are made the same. Some Python ETL tools are great for writing parallel load jobs for data warehousing, others are specialized for unstructured data extraction. In this article, we’ll explore the 7 best tools for ETL tasks and what business requirements they help you fulfill: Let’s dive right into the best tools and see how they compare.

By Jason Bloomberg, President, Intellyx Part 2 of the Demystifying Data Observability Series for Unravel Data In part one of this series, fellow Intellyx analyst Jason English explained the differences between DevOps and DataOps, drilling down into the importance of DataOps observability. The question he left open for this article: how did we get here? How did DevOps evolve to what it is today, and what parallels or differences can we find in the growth of DataOps?

Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.

In this continuation, Allen Loew, a Principal Quality Engineer and Sauce Labs advocate, explains how saucectl has transformed his team's test efficiency. We’re excited that Sauce Labs new fellowship program is in full swing. Over the next several weeks, we’d like to introduce you to the five fellows who are working hard to improve and open source Elemental Selenium.

As a modern application, yours always deals with credentials, secrets, and configurations to connect to other services like an authentication service, database, cloud services, microservices, etc. Keeping your username, password, and other login information in the source code of your application is not a good idea because they could be exposed if you share or publish the programme. Before sharing the code, you must delete or remark the credentials, which requires more work from you.

M1 Max Studio is now available for complex, memory-heavy builds — exclusively at Bitrise. View the M1 Max Studio options to further strengthen your raw computing speed.