Containers 102: Kubernetes: Constructing Cloud Native and Vendor-neutral platforms

Date: Friday, August 14th at 10am PDT / 1pm EDT

Kubernetes orchestrates the configuration, execution, and ongoing operation of containers across clusters of one to hundreds of nodes. Containers encapsulate both simple and complex applications, from microservices to monoliths. Kubernetes abstracts the infrastructure needed to execute, interconnect, manage, and monitor containers. Learn how Kubernetes accelerates platform development through unified networking, configuration, data, and operational control planes.

In this session, you will learn how Kubernetes:

  • Promotes both Cloud Native and Vendor-neutral development and operations.
  • Lowers the cost of adopting new technologies, experimentation, and platforming existing technologies, leveraging the combinatorial effect of a unified configuration, networking, and operational control plane. 
  • Provides opportunities for configuration and operational visibility across teams. 

This session is Part Two of our free half-day Virtual Summit: Guide to Getting Started with Enterprise Containers. Sign up for this session and you are welcome to attend all three sessions! Others include:

9am PDT: Containers 101: What Are Containers and What Applications Are They Right (and Wrong) For?

11am PDT: Containers 103: How to Think about Costs with Containerized Apps

Register now!

About the presenters:

Craig Johnston, chief architect at Deasil Works, Inc.

Craig Johnston is the Chief Architect at Deasil Works, Inc. and has been developing software for over 25 years. Craig’s expertise revolves around development operations, data science, platform design, and software engineering. Craig is successfully operating multiple commercial Kubernetes platforms supporting a range of industries, from retail and IoT to social media and the academic community. He is the author of the upcoming book "Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning" now available for pre-sale on Amazon. You can follow him on twitter @cjimti.

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