SERRA LABS CPO

Cost-Performance Optimization for 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 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 Azure Cloud

● AWS Support in Progress, GCP and Multi/Hybrid Cloud Support Planned Private and Confidential