Recapture Cloud Waste to Reduce Cloud Costs – Best Practices

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Presented by

Alex Pierce, Pepperdata Field Engineer

About this talk

Managing Kubernetes cloud costs and recapturing resource waste is challenging for even the most experienced ITOps teams. The promise of autoscaling is that workloads receive exactly the cloud computational resources they require at any given time, and you only pay for the server resources you need, when you need them. However, most autoscaling features aren’t granular enough to address today’s variable workload and application needs. Without granular and automatic control for your cloud instance resources, you are likely over paying for your Kubernetes workloads. All the cloud providers provide autoscaling for Kubernetes, but with different approaches. Join Pepperdata Field Alex Pierce for this discussion about operational challenges associated with maintaining optimal big data performance in the cloud with a focus on Kubernetes autoscaling best practices.

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Pepperdata is the Big Data performance company. Fortune 1000 enterprises depend on Pepperdata to manage and optimize the performance of Hadoop and Spark applications and infrastructure. Developers and IT Operations use Pepperdata soluions to diagnose and solve performance problems in production, increase infrastructure efficiencies, and maintain critical SLAs. Pepperdata automatically correlates performance issues between applications and operations, accelerates time to production, and increases infrastructure ROI. Pepperdata works with customer Big Data systems on-premises and in the cloud.