Specifications
Table Of Contents
- 1 Executive Summary
- 2 Cloud Computing Standards
- 3 Red Hat and Cloud Computing
- 4 Red Hat Cloud Foundations Components
- 5 RHCF Proof of Concept Configuration
- 6 Deploying Red Hat Cloud Foundations – Infrastructure Services
- 6.1 Overview
- 6.2 This section moves into the details of what needs to happen to deploy this infrastructure. At a high level, the steps that need to be accomplished.
- 6.3 Download Software
- 6.4 Deploy mgmt1 and Configure
- 6.5 Deploy Satellite Virtual Machine and Install Satellite
- 6.6 Create Kickstart Profiles and Activation Keys
- 6.7 Deploy DHCP / DNS Virtual Machine
- 6.8 Deploy Red Hat Enterprise Virtualization Platform
- 6.9 Deploy the Red Hat Enterprise Virtualization Hypervisor
- 6.10 Deploy the RHEL KVM Hypervisor
- 6.11 Add the RHEV KVM Hypervisor in RHEV-M
- 6.12 Configure RHEV Datacenter, Cluster, and Storage Domain
- 6.13 Configure ISO Domain
- 7 Deploy Tenant Virtual Machines
- 8 Configure High Availability Environment
- 9 Deploy and Scale Applications
- 9.1 Deploy Java Application
- 9.1.1 Configure GPG and Sign the javaApp package
- 9.1.2 Set up Software Channel on Satellite Server
- 9.1.3 Upload Application
- 9.1.4 Create RHN Activation Key for Custom Channel
- 9.1.5 Create a New Kickstart Profile
- 9.1.6 Deploy Virtual Machine with javaApp via PXE
- 9.1.7 Create a Template from the javaApp Virtual Machine
- 9.1.8 Scale the javaApp Virtual Machine
- 9.2 Deploy and Scale JBoss EAP Application
- 9.3 Deploy JBoss Enterprise Application Platform
- 9.4 Deploy and Scale Applications – MRG Manager
- 9.1 Deploy Java Application
- 10 Summary
- 11 Appendix A
- 12 Appendix B Scripts
4.5.3 Red Hat Enterprise MRG Grid
MRG
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Grid provides high throughput and high performance computing. Additionally, it
enables
enterprises to move to a utility model of computing to help them achieve both higher
peak computing capacity and higher IT usage by leveraging their existing infrastructure to
build high performance grids.
Based on the Condor project, MRG Grid provides the most advanced and scalable platform
for high throughput and high performance computing with capabilities such as:
• Scalability to run the largest grids in the world
• Advanced features for handling priorities, workflows, concurrency limits, usage, low
latency scheduling, and more
• Support for a wide variety of tasks, ranging from sub-second calculations to long
running, highly parallel (MPI) jobs
• The ability to schedule to all available computing resources, including local grids,
remote grids, virtual machines, idle desktop workstations, and dynamically provisioned
cloud infrastructure
MRG Grid also enables enterprises to move to a utility model of computing, where they can:
• Schedule a variety of applications across a heterogeneous pool of available resources
• Automatically handle seasonal workloads with high efficiency, usage, and flexibility
• Dynamically allocate, provision, or acquire additional computing resources for
additional applications and loads
• Execute across a diverse set of environments, ranging from virtual machines to bare
metal hardware to cloud-based infrastructure
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