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Agora E245 final presentation
- 1. 3/1/2011
- 4. Cloud compute marketplace Build a cloud marketplace Direct sales to both buyers and sellers Many different customer segments on buy-side and sell-side Huge dependency on technical platform
- 7. Cloud Services Match Maker Pivot away from technical platform Help buyers find the best provider Removed financial, consumer segments Act as channel for sellers
- 10. Low search traffic implies āmissionaryā sales effort
- 11. Automated Cloud Capacity Planning Pivot 1: Capacity Planning Pivot 2: Focus on enterprises with variable workload
- 20. Agora Evolution
- 21. Addressing $5.4B market Stage 1: Demand Prediction Stage 2: Service Matching Stage 3: Usage Monitoring/Control Stage 4: Lifecycle Management Relevant Category IT Capacity Planning, Job Scheduling Lead-gen on cloud spend Server Management BSM/ALM Sizing Estimate Capacity Planning: $258M (2008) -> $392M (2011) Job Scheduling: $1.2B (2008) -> $1.6B (2011) Forrester 10% affiliate fee on $13.1B cloud spend = $1.3B IDC 2010 $430M (2008) -> $500M (2011) Forrester $637M (2008) -> $1.6B (2011), accelerating 36% YoY growth rate Forrester Total $2B $1.3B $500M $1.6B
- 23. Thanks!
- 25. Week 1
- 26. Week 2
- 27. Week 3
- 28. Week 4
- 29. Week 5
- 30. Week 6
- 31. Week 7
Editor's Notes
- Diverse IaaS products Lack of standards and fungibility Non-trivial switching costs
- Status quo āgood enoughā No one is comparing IaaS providers Sellers Public sellers interested in using us as a channel Private sellers not interested ā IT dept. not mandated to generate revenue Variable workloads impact opex Potential value in shifting on-demand instances to reserved instances
- Demand prediction model Apply Queuing Theory Analogous to capacity planning problem Traditional enterprise sales model Field sales ā high cost Makes sense if average deal size is $100K+ Inside sales model Free offering as lead gen Outbound emails and calls to follow up and convert Works for lower cost products/services
- Decided on strategic direction Entice buyers through continuous, automatic optimization of cloud infrastructure opex Create market as industry standards and more sellers emerge
- Ecosystem of cloud IT consultants Provide holistic cloud solutions to SMBs Integrate cloud services from multiple vendors Own customer relationships Could be our channel if our service does reduce opex as promised