Troubleshooting Kubernetes using AI

Chicago
Wed, Apr 19, 12:00 PM (CDT)

To maintain healthy and scalable Kubernetes deployments, it is essential to have observability in place. In this talk, we will discuss what organizations should be observing to optimize the troubleshooting process. We will also cover the best practices for deriving useful and actionable insights from data and how to take advantage of AI and ML.

About this event

To maintain healthy and scaleable Kubernetes deployments it is essential to have observability mechanisms in place. These mechanisms can range from extremely manual bootstrapped solutions to highly sophisticated software, some of which incorporate AI and machine learning. However, it's crucial to take into account the right information, at the right time, regardless of where the organization is on the transformation spectrum or how many tools they are using.

In this virtual event, we will discuss what organizations should be observing to optimize the troubleshooting process. We will also cover the best practices for deriving useful and actionable insights from this data and how to take advantage of AI and machine learning in the process.

If you're interested in Kubernetes troubleshooting and how AI and machine learning can enhance performance, this session is for you. 


🎁 🎁 Two raffle prizes will be given away during the event by our sponsors Sosivio  & CloudRoads.


πŸŽ“ What you will learn

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Common Challenges in Kubernetes Troubleshooting

Essentials for Real-time Collection and Analysis

Best practices for AI in Kubernetes Troubleshooting

How AI can be used to troubleshoot Kubernetes and what tools and techniques are involved in the process?


πŸ‘¨πŸ»β€πŸ’» πŸ‘©β€πŸ’» Who Should Attend

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IT leaders interested in learning more about AI in cloud-native and Kubernetes

DevOps Teams

Platform Teams 

Speakers


Organizers