Serra Labs Cpo

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SERRA LABS CPO Cost-Performance Optimization for Cloud Applications Q3/2020 Private and Confidential Cloud Cost-Performance Problem Cloud Application Usage Dynamically changes while Cloud Application Capacity remains Inelastic resulting in Waste or Slowdown or Both Waste due to Slowdown due to Over-Capacity Under-Capacity relative to Usage relative to Usage Excess Costs User Dissatisfaction $ $$$ 35% Waste 48% Slowdown (Flexera Cloud Surveys 2018-20) (HIMSS Cloud Survey 2018) Addressing the Cloud Cost-Performance Problem Cloud Capacity Management needs to match the Elasticity of Cloud Application Resource Demand to Minimize Waste and Avoid Slowdown Inelastically Provisioned waste Elastically Provisioned Resource Demand Power slowdown Resource Time Elastic versus Inelastic Cloud Resource Provisioning to Meet Dynamic Resource Demand CPO Approach Utilization Health Metrics Metrics ○ ML-driven Cloud Application Resources for Utilization and Health Levels Analyze ○ AI-based Recommendations for Multiple Recommend Optimization Goals that Differently Trade-Off Cost and Performance Validate ○ Simulation-based Validation Optimization Benefits of Selected Resize Recommendation Before Resizing ○ ML-driven Continual Anticipation of Anticipate Suboptimality Private and Confidential CPO Deployment Architecture Comparison with Current Solutions Serra RightScale (Flexera) Labs CloudHealth (VMware) ParkMyCloud (Turbonomic) Mostly Cost Right Performance Ignores Performance, at the Right Cost, Here & Now, $$ Unvalidated, Continually Often Simplistic Broad Focus Mostly Governance & Management, Performance Cost Optimization Cost often just about Ignores Cost, billing analysis, Reactive, Performance often not More about App Logic, considered Monitoring Focused Flexera AppDynamics Nutanix Beam New Relic Morpheus Data DataDog SignalFx Performance Optimization Private and Confidential CPO Solution ● Delivered as SaaS ● Pay-Per-Use & Subscription Plans ● Browser-based UI, No Installation Needed Private and Confidential CPO Roadmap Azure AWS Multi-Cloud GCP Hybrid Support Support Support Support Support 2020 2020 2021 2021 2021 Q3 Q4 Q1 Q2 Q3 Private and Confidential Summary ● Excess Costs and Poor Performance of Cloud Applications Incurred due to Inelastic Resource Sizing ● CPO is the Only Solution that Optimizes Resource Sizing for Cost and Performance Together ● Each Cloud Application can be Optimized for Its Own Cost- Performance Objective ● CPO available as SaaS for Microsoft Azure Cloud ● AWS Support in Progress, GCP and Multi/Hybrid Cloud Support Planned Private and Confidential.

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