End-to-End Service Visibility and Control in a Distributed Datacenter (Virtualized or Not)

Transcription

1 End-to-End Service Visibility and Control in a Distributed Datacenter (Virtualized or Not) Dr. Rao Mikkilineni and Philippe Wagner C 3 DNA Inc. Enabling Distributed Cognitive Computing October

2 Summary of the Presentation What is a distributed datacenter? Key issues in a distributed datacenter Computation and its limits resulting in complexity and tool fatigue in a distributed datacenter A new approach by injecting cognition into computing presented in ServerDesign Summits 2011 and 2012 Distributed Cognitive Computing Use cases Conclusion October

3 The State of the Art & Science of Distributed IT The IT struggle today is about End-to-end Visibility & Control Commodity Infrastructure & Scale...balancing the need for visibility & control with cloud scale & economics October

4 Current State of the Art - Datacenter High Quality of Service Enterprise Datacenter Resource Management Systems Application, Security, and Infrastructure Management Welded Applications Specialized Hardware & Appliances Software Costs 70% of Infrastructure Budget Storage Network Compute Physical Server Myriad Tools & Interfaces Application October

5 Current State of the Art - Cloud Self-Provisioning, Self-repair, auto scaling and live migration of Virtual Machine Commodity Hardware Variable Application Quality of Service Enterprise Public/Private Clouds Virtual Server 1 Virtual Server 2 Resource Management Systems Virtual Image Management Orchestration Myriad Tools & Interfaces to Manage Applications Lack of end-to-end Service Visibility Storag e Networ k Compu te Storag e Hypervisor Physical Server Networ k Compu te Application, Security, and Infrastructure Management Lack of end-to-end Service Security Control 5 October

6 Escalating Complexity and Tool Fatigue 1 Cloud Explosion and Inter-cloud Orchestration Complexity Public Cloud Complexity Vendor Lock-In Versus Open Clouds (API Conundrum) 2 3 Packet Sniffers in Cloud HA/DR Appliances Layer 7 gateways Myriad IaaS, PaaS flavours VM Image Managers etc. etc. Public, Private and Hybrid Cloud Complexity Appliance and Tool Explosion For every $ spent on development, $1.31 is spent on safety & survival Cost and Quality of Service Trade-Off End-to-end Service Visibility and Control across Private and Public clouds 70% of IT budget goes into keeping the Santa Rising Clara, Distributed CA USA Datacenter Rising TCO / Lower ROI October 2013 complexity lights on 6

7 Computation & Its Limits Impose Complextity & Tool Fatigue The key property of a general-purpose computer is that it can be used to model any physical system, of which the computer itself is not itself a part, to an arbitrary degree of accuracy Their logical limits arise when we try to get them to model a part of world that includes themselves Paul Cockshott, Lewis MacKenzie, Greg Michelson --- Computation and its Limits (Oxford Press 2012) October

8 Injecting Cognition into Computing Enterprise Distributed Datacenter Resource Management Systems Application, Security, and Infrastructure Management Application Cognitive Container Storage Network Compute Physical Server Or Virtual Server October

9 Injecting Cognition into Computing Self-Provisioning, Self-repair, auto scaling and live migration of Cognitive Container Enterprise Distributed Datacenter Run-time configuration of Services and Containers End-to-end Service Transaction Security Service Management decoupled from Resource Management Systems from different Providers at run-time No changes to Application, OS or infrastructure Storage Network Compute Physical Server Or Virtual Server October

10 End-to-end Service Visibility & Control October

11 Path Toward Eliminating Complextity & Tool Fatigue Cognitive Container Use Cases: 1.Application to application secure communication independent of network and server security across private data centers and clouds 2.Application to core affinity and context sensitive Communication at run time 3.Self-provisioning, Self-healing, auto-scaling and live migration of applications independent of infrastructure management systems and Virtual Machine Image management October

12 Conclusion "It's very likely that on the basis of philosophy that every error has to be caught, explained, and corrected, a system of the complexity of the living organism would not run for a millisecond von Neumann, Papers of John von Neumann on Computing and Computing Theory, Hixon Symposium, September 20, 1948, Pasadena, CA, The MIT Press, 1987, p474 The Cognitive Containers put safety and survival of application/service first and allow sectionalizing, isolation, diagnosis and fixing of errors at leisure. October

13 Thank You For further information on distributed cognitive computing, please contact Philippe Wagner, Head of Marketing, C 3 DNA Inc. philippe@c3dna.com October