Kubernetes has gained the role of new application server for modern cloud native applications, as it enables efficiency and scalability. However, the task of properly configuring pod resources (requests and limits) across many microservices can be very complex. This often translates into higher infrastructure costs and may also lead to service availability and performance issues. In this session, we cover the key Kubernetes resource management concepts and show how Machine Learning techniques can enable Developers and SREs to automatically identify the size of pod resources that both minimizes infrastructure cost and improves application performance and reliability.
Performance Summit September 2021
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