Auto-scaling capabilities for Kubernetes are a critical aspect in keeping your applications resilient and cost-effective by helping ensure your workloads are scaling to match demand. However, efficiently implementing auto-scaling is easier said than done.
If not done effectively, or continually modified to match the changes to your environment and user behaviors, it can result in unnecessary waste or resilience issues that can negatively impact system performance.
We will cover key strategies for scaling your Kubernetes clusters, including Cluster autoscaling, horizontally scaling (HPA/Keda) and vertical scaling (VPA/Karpenter). We will also discuss best practices for implementing, troubleshooting, and evolving your autoscaling configurations, and how properly managing your CPU and memory resources can lead to optimal results.
Our expert panel of speakers from Opsfleet and PerfectSlace discuss their past experiences with Kubernetes scaling, sharing their successes, challenges, and lessons learned.
This webinar provides valuable insights that you can apply to your own Kubernetes scaling initiatives, and how PerfectScale by DoiT can help you right-size your environment to ensure efficient and effect Kubernetes autoscaling.