Successfully Migrating Big Data Workloads to the Cloud: What You Need to Know

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Presented by

John Armstrong, Head of Product Marketing, Pepperdata

About this talk

Moving workloads to the cloud is either a reality or a near-term goal for an overwhelming number of enterprises. For most organizations, optimizing cloud use to improve operational efficiency and achieve cost savings is the primary objective. But navigating cloud adoption is a complex process that requires careful planning and analyses to achieve desired economic goals and ensure success. It’s a technology decision that has significant impact on the business. Economic benefits vs. costs must be accurately estimated and carefully weighed before making a move to cloud…not just for the cluster, but for every workload queue. This webinar will take the guesswork out of calculating cloud migration costs and provide you with the detailed analyses you need to make fully-informed technical and business decisions before embarking on your cloud migration journey. This webinar addresses critical questions for organizations considering or already deploying big data workloads in the cloud: - How accurate are my cloud migration and long-term deployment cost estimates? - What queues will be more cost-effective in the cloud, and which ones are better left on-premises? - What AWS, Azure, Google, or IBM cloud instances will work best for each of my queues? CPU-optimized? Memory-optimized? General purpose? - How can I help my team to make a successful transition to deploying workloads using the public cloud?

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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.