What AI doesn’t know about Kubernetes in Production

As artificial intelligence continues to permeate various industries, it seems logical to incorporate it into our production operations. However, as Eldad Assis, a senior DevOps architect at JFrog, discovered, there are still many aspects of running production-grade Kubernetes that AI like ChatGPT, Google Bard and others are not yet familiar with. In this webinar, Eldad shares valuable insights and lessons learned from over five years of experience with Kubernetes in production.

By taking a comprehensive approach to these key areas, organizations can optimize their Kubernetes implementations to achieve greater efficiency, security and reliability. Whether you are a seasoned DevOps professional or a newcomer to Kubernetes, this webinar is an invaluable resource for anyone seeking to improve their understanding of production-grade Kubernetes.

The program covers various critical factors to consider when dealing with Kubernetes in a production environment, including:

  • Sizing considerations
  • Load distribution strategies
  • Best practices for operational security
  • The importance of planning for failure
  • Controlling the software supply chain
Speaker Bio:
ELDAD ASSIS
Senior DevOps Architect – JFrog
With over 20 years of experience in the software industry, the majority of Eldad focus has been on the infrastructure side. His journey started with Bash and Perl, and as technology evolved, he has evolved to writing Kubernetes YAMLs and Helm templates in his work. Through Eldad’s experience, he has gained valuable insights into the ever-evolving landscape of software infrastructure, which has allowed him to provide practical and effective solutions to the challenges faced by modern software development teams.
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