Simplify Kubernetes Performance Management with End-to-End Visibility

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Presented by

Kirk Lewis, Pepperdata Field Engineer

About this talk

Complex applications running on Kubernetes scale super fast, but this can create visibility gaps that can make detecting and troubleshooting Kubernetes issues as difficult as finding a needle in a haystack. Although Docker and Kubernetes are now becoming standard components when building and orchestrating applications, you’re still responsible for managing the performance of applications built atop this new stack. With many companies prioritizing containers for more applications and more uses, an increasing area of concern for everyone in IT is finding a way to monitor, manage, and optimize performance across these sprawling environments. Join this webinar to learn: – A brief history of current trends in computing, cloud, containerization, and Kubernetes – Challenges: virtualization, distributed applications, and multi-cloud – How to meet the demands of new microservices apps while maintaining legacy apps – How to deploy, manage, monitor, and simplify: big data analytics monitoring, platform monitoring, and dynamic optimization – Ways to reduce the complexity of monitoring and managing Kubernetes with automated full-stack observability – What Kubernetes performance management success looks like

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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.