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Top 2 Challenges Holding Back Kubernetes Adoption

Webinar

Solving for Performance, and Complexity across AWS, Azure, GCP, and VMware

Pushing the boundaries of technology is what it is all about. The ability to continuously deliver and instantaneously validate software capabilities against actual business requirement is the end goal. Artificial intelligence, deep learning, and machine learning have not changed much over the past two decades, but new hardware and software infrastructure made these disciplines much more accessible.

Please join us in this webinar as we discuss recent research by EMA on Kubernetes deployments. Leading the discussion is Torsten Volk, managing research director at EMA, whose research is centered around finding actual real-life pain points of software developers, DevOps engineers, and business executives and helping to develop better solutions to these problems. Joining him is Dale Kim, senior director of technical solutions at Hazelcast, who will provide his perspectives on how companies are solving the top challenges in Kubernetes.

Presented By:

Torsten Volk
Torsten Volk
Managing Research Director, Containers, DevOps, Machine Learning and Artificial Intelligence
Enterprise Management Associates (EMA)

Pushing the boundaries of technology is what it is all about. The ability to continuously deliver and instantaneously validate software capabilities against actual business requirement is the end goal. Artificial intelligence, deep learning, and machine learning have not changed much over the past two decades, but new hardware and software infrastructure made these disciplines much more accessible. All of my research is centered around finding actual real-life pain points of software developers, DevOps engineers, and business executives and helping to develop better solutions to these problems.

Talks about #aws, #kubernetes, #deeplearning, #deepneuralnetworks, and #reinforcementlearning

Dale Kim
Dale Kim
Sr. Director, Technical Solutions
Hazelcast

Dale Kim is the Senior Director of Technical Solutions at Hazelcast and is responsible for product and go-to-market strategy for the in-memory computing platform. His background includes technical and management roles at IT companies in areas such as relational databases, search, content management, NoSQL, Hadoop/Spark, and big data analytics. Dale holds an MBA from Santa Clara and a BA in computer science from Berkeley.

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