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Top 6 Functional AIOps Requirements to Evaluate in Your RFP

AIOps adoption is on the rise. According to Gartner, by 2023 40 percent of DevOps teams will augment application and infrastructure monitoring tools with AIOps platform capabilities. Use cases are also expanding beyond IT to include IT Service Management (ITSM), digital experience monitoring (DEM), DevOps, Application Performance Monitoring (APM) and third party services.

7 Requirements for Digital Transformation

Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now.

How to Optimize a Test and Make It 560% Faster

Deep in the implementation of every automated UI test lives the potential to turn something simple into something slow and unreliable—simply by adding extra Selenium commands. The data clearly show that longer tests are less likely to pass. In this case study, I will show you how to optimize a test and make it 560% faster. We will do this by tackling inefficient use of Selenium commands.

Advanced Analytics Will Need To Look Different

We missed it, again. But, could we have seen it, even with advancements in data analytics? Many people have referred to COVID-19 as an unexpected black swan event, after Nassim Taleb's famous book, which I’m rereadinging as I write this post. A black swan is an unpredictable event that is beyond what is normally expected of a situation and has potentially severe consequences.

The Modern Data Science Stack

Automated data integration can help you jumpstart your machine learning efforts. Learn about the modern data science stack. It’s an oft-cited factoid that data scientists spend only 20% of their time doing actual data science work, while the rest of their time is spent on doing what is often delightfully referred to as “data munging” — that is, obtaining, cleaning, and preparing data for analysis.

Kong Embedded: A New Way of Deploying Kong Enterprise on Edge Devices

Today, we’re excited to announce a new research project we’ve been kicking around at Kong: Kong Embedded! If you’ve used the Kong Gateway before or heard us talk about it, one of the things we’re very proud of is that Kong Gateway uses a very small resource footprint. It’s a small download in size, is blazingly fast on even constrained hardware, and uses very little memory.