Geode on Virtualized Infrastructure: How to Succeed with Geode on vSphere & Public Clouds

October 1, 2018

Recently there has been a surge of interest in running Geode workloads on virtualized environments. In most cases, operations teams attempt to first manage Geode workloads the same way that they manage application server workloads, which almost always leads to cluster stability and service availability problems. Tactical attempts to improve Geode workload stability via vSphere resource reservations only address part of the problem and rarely produce satisfactory results. The right way to deploy Geode onto vSphere infrastructure is by first carving-out dedicated Hardware Resource Pools, isolated from Application Server workloads and with more appropriate target utilization rates and consolidation ratios. In this presentation we'll discuss the fundamental differences between Geode and Application Server workloads as they relate to virtualized infrastructure management, focusing on differences in defining and measuring target SLO's, capacity planning, and on how to communicate these differences to vSphere administrators. We'll also describe how to diagnose common virtualization-related performance and stability problems from application behavior and performance metrics. September 24, 2018 4:15 pm - 4:45 pm Maryland Ballroom C Speakers Charlie Black Principal Data Engineer, Pivotal Filmed at SpringOne Platform 2018

Previous
Moving from Monoliths to Microservices? Don’t Forget to Transform the Data Layer. Here’s How
Moving from Monoliths to Microservices? Don’t Forget to Transform the Data Layer. Here’s How

When breaking large, monolithic applications into microservices, don’t neglect data management. Here's how ...

Next
How to Build Modern Data Pipelines with Pivotal GemFire and Spring Cloud Data Flow
How to Build Modern Data Pipelines with Pivotal GemFire and Spring Cloud Data Flow

Getting data from point A to B in a timely way is often easier said than done. Learn how to breakdown data ...