Context: Dynatrace Introduces AIOps to Kubernetes

Welcome to The New Stack Context, a podcast where we discuss the latest news and views from the cloud native community. This week we spoke with Andreas Grabner, a DevOps Activist at Dynatrace, about why Kubernetes and artificial intelligence (AI) are made for each other.

Grabner wrote a contributed post for us last week, “How AI Solves the Kubernetes Complexity Conundrum” in which he argues that integrating Kubernetes with artificial intelligence and an AIOps culture can make Kubernetes deployments more manageable for IT and DevOps teams. Dynatrace, a sponsor of The New Stack, builds AI-assisted, full stack and completely automated monitoring software for dynamic, web-scale, hybrid cloud ecosystem.

“Kubernetes offers enterprises a valuable new tool for kicking digital transformations and time-to-market timetables into a new gear. But to take full advantage of it, IT and DevOps need to drive a culture shift toward AI and automation; most other existing IT approaches simply do not adequately work or scale in this new world,” Grabner wrote in the blog.

Dynatrace Introduces AIOps to Kubernetes

In our conversation, we spoke about what Dynatrace offers in the monitoring space, the challenges of instrumenting microservices, and Splunk’s recent acquisition of SignalFX.

Then, later in the show, we discuss some of the other top stories from the week, including a nifty introduction to AIOps, along with a nifty demo showing how OpsRamp’s AIOps platform works. Finally, we talk about the latest Holy War in some programmer circles, namely on the supposed benefits of object-oriented programming, and whether, or not, functional programming provides a superior alternative.

Libby Clark, who is the editorial and marketing director at TNS, hosted this podcast, with the help of Joab Jackson, managing editor at The New Stack.

Dynatrace is a sponsor of The New Stack.

Feature image by Sasin Tipchai from Pixabay.