1. Click to add text TWA Cloud Integration with Tivoli Service Automation Manager TWS Education

2. Agenda Introduction Tivoli Service Automation Manager  Overview Workload Automation in the “Cloud”  Dynamic allocation of Workloads  Fault Recovery  Elastic Scaling Recorded Demo

3. The new integration with Tivoli Service Automation Manager (TSAM) allows you to transform dormant or underutilized compute resources into powerful workload computing agents. Using TWS and TSAM together, you can provision resources on an as- needed basis to help meet scheduling deadlines for critical workloads, without user intervention! Introduction

4. IBM Tivoli Service Automation Manager offers: Standardization and automation for deployment and management of IT services Improved quality and cost per IT service Smoother transition from pre-production to production Process governance Reduced manual (and costly) interventions Reduced skill requirements Fast Deployment of IT services Tivoli Service Automation Manager

5. Workload Automation in the “Cloud” Scenarios Example Workload Execution environment – Every month-end a Bank needs to create a set of Reports. Reporting application runs on a Linux servers pool that should be created on month-end and released after its usage Elastic scaling – Reports for private-banking accounts must be deliverd by 8:00 AM the first month-day; in case of potential delays, customer wants the envirornment to be automatically boosted to meet this SLA Deliver quickly an environment with tight specifications on installed stack, and announcement in a managed environment. Solution Create a Workload Automation Execution service in Smart Cloud Provisioning (SCP) that:  Allows to model, reserve and automatically provision “WA-ready execution environments” in a cloud  Automatically configure a scheduling sandbox in an existing TWA environment (or provision a new one) for managing the new environment Automatically provision or activate additional VMs in the SCP environment in case of jobs delay in TWS Templates Llibray Linux Servers pool Accounts DB Reporting App Enterprise Scheduler Create VM Templates Define time-windows reqs Define QoS/SLAs IT Administrator Database Cloud Mgmt Platform (TSAM) Provision environment Monitor environment Elastic scale Deprovision environment Configure Scheduler TWA Administrator Model, schedule, monitor and manage WA jobs

6. TWS TSAM end-user (through a service request or through a TWS Job) Cloud Administrator TSRM Self Service Web 2.0 UI (WEE Service Catalog) Customize/Creates Service Offerings Add physical resources Add Virtual Machine Images Resource Pool TSRMTSAMBCTPM TPAe 1.a) Provision VMs 1.b) Install &configure TWS Agents Sample scenario WEE Team Administrator (e.g. a TWS Administrator) Service_Instance-A Service_Instance-B TWS Users Service_Instance-X 2) Batch-enable an environemt (WEE configuration Service) Service Instance Name TWS Server name QoS requirements... 3.a) Register agents 3.b) Authorize users 5) Critical job is late 5.a) Ask TSAM to add resources for Service_Instance-X 2.a) Install &configure TWS Agents 4) Schedule/Submit Jobs to new environment 4.a) Run jobs 5.b) Add Server 1) Provision batch-enabled environment (Provisioning service) TWS Server name QoS requirements... WEE

7. Combining disciplines around the stack query / status Job Streams Provisioning Emergency actions Cloud resources pool add / remove Workload Management submit results Deadlines Monitoring add / remove provision sensing Situation action Criticality information

8. Cloud Computing: Elastic Scaling 8 The elastic scaling is the ability to provision resources in response to changes in demand. Scale up when demand increases Scale down when demand subsides «Clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services). These resources can be dynamically reconfigured to adjust to a variable load (scale), allowing also for an optimum resource utilization.» [Vaquero et al, 2009]

9. Enhance TWS Dynamic Capabilities 9 TWS Pool  Load balancing within a pool  Automatic discovery of new resources  Optimize use of existing resources  Need manual intervention to add and remove dynamic agent from a pool TODAY  Proactive provisioning  SLA-based resource allocation  Ready for cloud and virtualized architecture integration With this solution The Tivoli Workload Scheduler dynamic capabilities allow to develop a few elastic scaling mechanisms for the product. Automatic resource allocation Automatic resource deallocation

10. Architecture of Elastic Scaling Engine

11. Dynamic Workload Management

12. Recorded Demo