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Stage 2 Management Systems

Stage 2 Management Systems. Building a foundation for flexible service delivery. Introduction. Kelcey Damage Infrastructure Systems Architect – Cloud Computing Backbone Technology. The Concept. Empower infrastructure to perform its own administration

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Stage 2 Management Systems

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  1. Stage 2 Management Systems • Building a foundation for flexible service delivery

  2. Introduction • Kelcey Damage • Infrastructure Systems Architect – Cloud Computing • Backbone Technology

  3. The Concept • Empower infrastructure to perform its own administration • Free up IT resources from maintaining delivered projects • Automate the post-mortem • Intelligence assisted managed services

  4. Closing The Loop • Open Loop Processing • The main purpose behind Intelligence Assisted Systems/Operations is to leverage the theory of closed feedback loop processing. • When heating your house with an open loop control system, the parts look like the below diagram:

  5. Closing The Loop • Intelligence Assisted Systems/Operations • To take this a step further and enter into intelligence assisted systems/operations we would make a slight tweak to our open loop system:

  6. Prototyping Orange Systems: • Controller • Sensor • Mass Orchestrator • Control Logic • Healing Logic • Broker • Notifications • Sync/AsyncTasks Green Systems: • Report API • Service/Health Scheduler API • Intelligence Assisted Systems/Operations

  7. Solving Problems – Running in production • Intelligence Assisted Systems/Operations • Initial test runs on production systems have been quite promising • Most current Heal-Ops are completed in under 2 seconds • Iterative algorithms allow for state update after each operation pass to mitigate the chance of attempting a Heal-Op on a non-existent error. • Have been able to heal CRM cluster failures before Nagios can scream • Can provide data streams for system health and usage • Fully agent-less design

  8. Why Stage 2? • Stage 2 Management Systems – Automated Troubleshooting • Not re-inventing the wheel, instead managing the failure of common service management tools • Programmed to heal with IT methodologies • Not just automating the system, but the system administration • Works in conjunction with most current infrastructure management tools

  9. How Much Further Can We Go? • Stage 3 Management Systems – Predictive Analytics • Working closely with Metafor Software as an upstream analytics engine • Providing system resource streams • State and drift measurement over large clusters • Pro-active healing actions • Predict component failure • Isolate causes of system turbulence or bad cluster cells • Provide scale and de-scale analysis • Predict optimum load resource commitments

  10. IASO and IaaS • Stage 2/3 Management Systems – Cloud Enhancements • Application infrastructure auto-scaling • Using mass-orchestration and CFL processing data • Predictive scaling for fault and load scenarios • Currently supporting Apache CloudStack • Automated guest administration • Working on agent-less guest tools beyond auto-scaling • Contemplating adding the code for self user management

  11. Managed Production System • Example of a multi-tiered application infrastructure running on the cloud and managed by closed feedback loop systems • Intelligence Assisted Systems/Operations

  12. Thank You • Contact Details • Kelcey Damage • kdamage@apache.org • irc.freenode.net #cloudstackid:kdamage

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