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The Pepperdata Big Data Cloud Cost Assessment identifies optimal cloud instances across each cloud service provider, based on your actual workloads, to support the most cost-effective implementation of your single or hybrid cloud strategy. Our cloud storage calculations are based on the current storage capacity of your on-prem cluster. In each assessment, Pepperdata:
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Maps your on-premises cluster and individual workloads to instances that are available from AWS, Azure, Google Cloud Platform, and IBM Cloud
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Automatically analyzes every workload in your cluster to determine your projected monthly cloud costs
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Calculates the cloud, CPU, and memory needed to achieve the same performance and SLAs delivered by your existing on-prem infrastructure
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Analyzes general purpose, memory optimized, and CPU-optimized instance types and identifies the most cost-effective for each of your workloads
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Analyzes your actual CPU and memory requirements by workload to determine baseline and burst characteristics and map these to appropriate static and on-demand instances
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Provides graphs that show your on-prem cluster/workload performance profile, as well as all the parameters used in our calculations
