Start Optimizing Your Kubernetes Deployment

Presented by

Adam Diaz

About this talk

A Kubernetes deployment can introduce as many challenges as it solves. The complexity and massive amount of metrics generated can impact your productivity. Without the right observability tools and recommendations, your transition could be more cumbersome than you had imagined. Although Docker and Kubernetes are now becoming standard components for building and orchestrating applications, you are still responsible for managing application performance across the stack, and an increasing area of focus in IT is finding a way to monitor, manage, and find opportunities for optimization across these sprawling big data environments. Join presenter Adam Diaz for this webinar and learn how to : – Identify Kubernetes challenges: virtualization, distributed applications, and multi-cloud – Meet the demands of new microservices apps while maintaining legacy apps – Deploy, manage, monitor, and simplify: big data analytics monitoring, automation, platform monitoring, and dynamic optimization – Reduce the complexity of monitoring and managing Kubernetes with full-stack observability – Find and capitalize on optimization opportunities

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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.