Jeeves is the stereotypical English butler – and an AI chatbot that answers pertinent and important questions about Spark jobs in production. Shivnath Babu, CTO and co-founder of Unravel Data, spoke yesterday at Data + AI Summit, formerly known as Spark Summit, about the evolution of Jeeves, and how the technology has become a key supporting pillar within Unravel Data’s software.
Test automation makes testing efforts faster, more reliable and stable. Testing teams use test automation frameworks to ensure the test automation code is reusable, stable, and easy to maintain. A test automation framework encourages the whole team to follow common guidelines for code standards, processes and tools.
🎂 Make a wish and blow out the candles…we’re celebrating Kong’s sixth anniversary! 👏👏👏 In 2015, Mashape open sourced Kong Gateway, launching the next generation of API management. In our last anniversary post, I took a look back at our history. For this 6th anniversary post, I’ll focus on how this year went and look forward to what’s coming up next.
President Joe Biden issued an “Executive Order on Improving the Nation’s Cybersecurity” as of May 12, 2021. The order includes numerous actions and mandates to confront the dangers of cyber attacks that are increasing in frequency and sophistication. Cybersecurity has real and significant implications, both in economical and national security terms. At the time of this writing, the Colonial Pipeline cyber attack caused quite a stir on the USA’s east coast.
Many IP and data management tools provide a project-centric view of the design process, creating what are known as design silos. While this makes some sense, as most designers tend to think of themselves as working on a project at time, and other items within the company are tracked on a project basis (such as cost, resources, and timelines), this approach is not without its drawbacks.
Software errors are annoying – they are troublesome for IT departments and affect many company processes. A software error is essentially a mismatch between what is expected of the program and the produced output. Sometimes these software errors could have negligible impact, while on other occasions, they could wreak absolute havoc, especially for industries like banking, healthcare, airlines, and stock markets.