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    Autopilot it operating Autopilot it operating Presentation Transcript

    • Session Number: SDPA21
      Presentation Title: Building Autopilot IT Operation on a Tivoli Platform
      Speaker: Hans-Christian Boos
      Designation: CEO arago AG
    • TheBusinesscase of Automation
    • What Is Success ?
      Money + Talent = Innovation
      Talent * Innovation = Success
      So, We Are Looking for Talent and Money!
    • What Is Talent?
      Talent = YOU !
      But Wait, YOU Are BUSY Keeping Things Going.NO TIME FOR INNOVATION !
    • Why Automation Part I
      To Get the Boring Things You Have All Done 1.000 Times off Your Backs....
      To Learn, to Build, to INNOVATE
    • So Where Is the Money Going ?
      Number of IT Applications
      Time
      The Number of IT Systems and Thus the Dependency on IT Systems Grows Constantly
    • Where Is the Money Going?
      Staff
      Infrastructure
      Operational Cost (RTB)
      Number of IT Applications
      Time
      Operating Cost of IT Has Grown Exponentially. (Today 53% of Cost is Infrastructure)
    • Where Is the Money Going?
      Staff
      Infrastructure
      You Are Here
      Operational Cost (RTB)
      Number of IT Applications
      IT Budget
      Time
      Fortunately, IT Budgets Are Capped !
    • Where Is the Money Going?
      Staff
      Infrastructure
      You Are Here
      Operational Cost (RTB)
      Number of IT Applications
      IT Budget
      Time
      Cloud Computing Was Reinvented to Fix It All….
    • Where Is the Money Going?
      Staff
      “Cloud Staff”
      Infrastructure
      Cloud Infrastructure
      You Are Here
      Operational Cost (RTB)
      Number of IT Applications
      IT Budget
      Time
      But Not Everything Can Go into the Cloud and Clouds Have Operational Overhead (No Free Lunch, Sorry)
    • Why Automation Part II
      Staff
      Infrastructure
      You Are Here
      Operational Cost (RTB)
      Number of IT Applications
      IT Budget
      Time
      Automation Helps to Get “Things” into theCloud, Reduces Standard Operational Expense, and Reduces Cloud Overhead!
    • Automation Concepts
    • Automation Classic Style
      Plattform/OS
      Infrastructure Apps
      Start
      End
      Today We Believe That Automation Means Creating “a Script” In One Way or the Other
      Application Operation
    • In The End It’s All About Knowledge !
      Knowledge Repository
      Application Operation
      Infrastructure Apps
      Platforms/OS
      To Perform a Task All You Normally Do Is Recombine What You Already Know
    • An Autopilot System
      Knowledge Repository
      Decision
      Decision
      Decision
      Start
      Our Autopilot Will Evaluate a Situation Step-By-Step Recombining Available Knowledge To Fulfill the Task at Hand
      End
      Analysis
      Analysis
      Analysis
      Analysis
    • Do Something Creative !
      Automated
      ITSM Processes
      Automated
      Service Desk
      Automated
      Run-Books
      Automated
      Config. Mgmt
      Automated
      Event-Mgmt.
      Auto
      Pilot
      Workload
      Automation
      Automated
      Provisioning
      Automated
      Discovery
      Automated
      Correlation
      Compliance
      Reporting
      Data-Center
      Automation
      Automated
      Root-Cause-Analysis
      16 |
    • Moving From Run to Change!
      Status Quo
      After (Automation + Cloud)
      Strategic Importance
      Strategic Importance
      60% Change
      20 % Change
      40% Run
      80 % Run
      Operational Importance
      Operational Importance
      Finally Getting the Time and Funding to Change the Things that Need Changing.
    • Technically Building autopilot on tivoli platforms
    • Autopilot Behaves Like a Colleague
      100% Process Integration from the Start
    • Basic Autopilot I/O Model
      Knowledge
      PRE REQUIREMENT
      RESULTS
      AUTOPILOT
      arago Autopilot
      Engine
      IT Model
      Actions
      Monitoring
      Documenttion
      Good Monitoring and an IT Model Are
      The Foundation the Autopilot Is Built upon
    • In a Basic Tivoli Environment
      IT Model
      Monitoring & Agents
      AUTOPILOT
      Tivoli DWHS
      arago Autopilot
      Engine
      TADDM
      Omnibus
      ITM Agents
      Model from TADDM / CCMDB
      Monitoring from ITM, Historic Data from DWHS and Action Execution by ITM Agents – All Via Omnibus
    • In an Advanced Tivoli Environment
      Business Service Management (TBSM)
      OMNIbus
      OtherRepositories
      3rd Party Data Source
      Configuration Database (CCMDB)
      Arago
      Autopilot
      Engine
      Network Monitoring (TNM)
      events / KPIs
      aAE
      Tivoli Impact /NetCool GW
      events
      Config Items and Relationships
      Transaction Monitoring (ITCAM)
      automation
      Ressource Monitoring (ITM)
      metrics (real time)
      metrics (historical)
      Tivoli Data Warehouse
    • The M-ARS Way of IT Modelling
      = Resources are combined to applications using a defined order, to reflect functional dependencies of an application for the user or related to the adherence to delivery dates.
      A
      Application
      = Services are grouped into resources, to display 1-to-1 dependencies (e.g. does a SAP-Service need a functioning data base service).
      R
      R
      R
      Ressource
      = Several machines jointly delivery a specific service to an external party, i.e. a user or different applications (e.g. a cluster of Web Servers offering an identical portal as service)
      Software
      S
      S
      S
      S
      M
      M
      Machine
      = a machine or other technical component, which forms part of the IT Infrastructure. It always delivers technical data of itself and of the links or software components running on it.
    • CCMDB/TADDM to aAE
      Custom
      Model
      Custom
      Data
      CCMDB / TADDM
      Export to XML
      FILTER
      MARSTools
      M-ARS
      aAE
      CURRENT
      ACTUAL
      MARSlint
      Model Export With Filter and Custom Data Structures.
      Model Feedback from aAE
    • Omnibus to aAE for Monitoring
      Omnibus
      Native Tivoli Interface
      Filter
      Normalization
      Monitoring Automation Interface Description
      aAE Data Bus
      Straight Forward Native Interface
    • Monitoring <-> Model Connection
      Omnibus
      aAEStream
      Monitoring Data Attached to Model Nodes
      MAID
      Monitoring to Automation Interface Description
      CCMDB / TADDM
      M-ARS Model
      MAID (Monitoring to Automation Interface Description) Subscribes Data and Events to Model Nodes
    • aAE Execution via Tivoli
      Write File
      aAE
      Nativ Interface
      Omnibus
      Agent
      Execute
      ExecutionChains Are Built ThroughWriteorExecute Events.
      ssh and OtherProtocols as Backup
    • Sizing
      • Key Indicators for the arago Autopilot Engine
      • Number of nodes in all models: 231.277
      • Number of nodes in largest model: 27.978
      • Number of machines in all models: 8.452
      • Amount of data processed per month: 102,7 GB
      • Current aAE environment at arago:
      • 2 x Server Intel Dual Core 2,2 GHz, 4GB RAM, Red Hat 5.2
      • 1 x NAS 7,5 TB as Data Archive
    • Scalability
    • Knowledge Pool and Interaction
    • Knowledge Structure
      MAID as Monitoring Interface
      InternalLayer (Self Controlling Machine)
      DecisionKnowledge
      ExecutionKnowledge
      By Separating Decision and Execution Knowledge Reuse Is Increased Even More
    • Knowledge Transfer Format
    • THANK YOU FOR YOUR TIME
      Questions ? Please Ask
      More Questions ? Please email me at boos@arago.de
      Want Opinions ? Read more at www.hcboos.net