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"The Expanse" (...of Data)

Back in my college years, I used to listen a lot to the English rock band The Sisters of Mercy. One of my favourite songs is called “More” from the album “Vision Thing.” Singer-songwriter Andrew Eldritch wrote the track around love, lust and broken relationships; his brooding tones repeatedly hammers out the demanding line “I want more” – a line which rings true today for our never-ending lust for data.

Katalon Smart Wait: A New Way to Handle Web Loading Issues

For those who are familiar with Selenium WebDriver, one of the most common features is the Wait command. These commands are handy in test scripts execution, or observing and troubleshooting issues that arise due to time lag. Wait commands are powerful — but they also come along with a big problem with timing due to front-end processing. Starting from version 7.0.0, we have introduced the Smart Wait feature that helps you handle Selenium wait issues without any additional test scripts.

What Does Culture Have To Do With DataOps? Everything!

Welcome back to DataOps central! My colleagues and I have been blogging and podcasting about the many critical facets of DataOps, which has the power to automate processes to get the right data to the right place at the right time. We’ve examined everything from the key components of the DataOps methodology to the data science behind it all. But one area we haven’t touched on yet is the culture component. You may be asking what do DataOps and culture have to do with one another.

Advanced API Ops: Bringing the power of AI and ML to API operations

Most business-critical applications today are powered by APIs, so any downtime or performance degradation can lead to significant loss in revenue, customers, and brand value. This puts pressure on operations teams to monitor real-time API performance and security. Adding to the challenge is the need to support new releases and reduce resolution times. And unfortunately, traditional third-party monitoring tools are little to no help when it comes to API operations.

5 best practices to innovate at speed in the Cloud: Tip #4 Perform faster root cause analysis thanks to data lineage

Like any supply chain that aspires to be lean and frictionless, data chains need transparency and traceability. There is a need for automated data lineage to understand where data comes from, where does it go, how it is processed and who consumes it. There is also a need for whistle blowers for data quality or data protection and for impact analysis whenever change happens.