- Remove data-related bottlenecks
- Simplify data management at scale
- Empower global collaboration
- Manage the full data lifecycle cost effectively
- Ensure end-to-end data availability, reliability, and integrity
DinoQuintero 2700050KT5 Tags:  system windows computing storage gpfs aix ibm file linux platform 6,377 Views
IBM GPFS provides fast data access and simple, cost effective data management. IBM GPFS can help:
For more information, refer to the website: http://www-03.ibm.com/systems/technicalcomputing/platformcomputing/products/gpfs/
DinoQuintero 2700050KT5 Tags:  performance technical platform ibm high computing 3 Comments 6,074 Views
This residency kicks off on May 6, 2013. The objective of this project is to highlight IBM Technical Computing Solutions as a flexible infrastructure for clients looking to reduce capital expenditure, reduce operational expenditures, energy optimization of resources, re-use the infrastructure, and get the most of their current and future hardware purchases to continue developing their business. Technical Computing is not just for High Performance Computing (HPC) clients, but for commercial clients who want to use the advantages of technical computing, for example, to analyze large quantity of data in their enterprise.
The residency team encourages you provide any comments on your opinion about IBM Technical Computing, any areas you might think can be studied during the residency, or any topic you would like to discuss with the team.
Keep an eye on this blog as the residency team continues to explore this area and the benefits IBM Technical Computing brings to the industry.
DinoQuintero 2700050KT5 Tags:  infrastructure computing system solutions hpc analytics ibm gpfs platform x linux clouds 5,229 Views
I encourage anyone interested to participate in the IBM Platform Computing Solutions Reference Architecture and Best Practices to submit your nomination for consideration.
There are already multiple Redbooks publications, and a few RedPapers on different technical challenges which IBM Platform Computing is addressing via their solutions. If you have any suggestions for topics for this residency, do not hesitate on adding comments to this blog.
During the residency, the team will provide reference architectures and best practices for deploying the Platform Computing solutions. Moreover, the team will implement and test Platform Computing solutions software stack focusing on specific industry solutions (engineering, life sciences, financial services, business analytics, oli and gas) leveraging the comprehensive set of IBM System x rack servers, IBM BladeCenter, IBM General Parallel File System (GPFS). This IBM Redbooks publication will demonstrate and document that the combination of IBM's System x, IBM GPFS and IBM Platform Computing solutions deliver significant value to clients in need of cost-effective, highly scalable, and robust solutions. IBM depth of solutions can help the clients plan a foundation to face challenges in how to manage, maintain, enhance, provision computing environments to analyze, for example, the growing volumes of data within their organizations.
To submit a nomination, you must use the online web nomination form:http://www.redbooks.ibm.com/Residents.nsf/GetResidency?OpenAgent&ID=PW-3901-R01
The residency team invites you to download and read the first IBM Redbooks publication on IBM Platform Computing Solutions.
This IBM Platform Computing Solutions Redbooks publication is the first book to describe each of the available offerings that are part of the IBM portfolio of Cloud, analytics, and High Performance Computing (HPC) solutions for our clients. This publication delivers descriptions of the available offerings from IBM Platform Computing that address challenges for our clients in each industry. We include a few implementation and testing scenarios with selected solutions.
Chapter 1. Introduction to IBM Platform Computing
Chapter 2. Technical computing software portfolio
Chapter 3. Planning
Chapter 4. IBM Platform Load Sharing Facility (LSF) product family
Chapter 5. IBM Platform Symphony
Chapter 6. IBM Platform High Performance Computing
Chapter 7. IBM Platform Cluster Manager Advanced Edition
Appendix A. IBM Platform Computing Message Passing Interface
Appendix B. Troubleshooting examples
Appendix C. IBM Platform Load Sharing Facility add-ons and examples
Appendix D. Getting started with KVM provisioning
DinoQuintero 2700050KT5 Tags:  big x platform clouds computing ibm power analytics linux system data systems 4,848 Views
You are invited to attend on Tuesday May 20 at 10:30 AM during the IBM Edge event, session sBD06 IBM Big Data Analytics Over a Public Cloud By: Luis Cruz and Daniel de Souza Casali and discover how to implement a big data analytic environment over SoftLayer running Hadoop with GPFS and performing map reduce with IBM Symphony. You can use the information presented during this session as a reference architecture that you can run over a public cloud for your company.
For additional information on all sessions to be presented during the event, refer to:
For information about the IBM Edge event, refer to the following website:
For information on the IBM Redbooks publication which can provide more details on the reference architecture presented during the session, refer to the IBM Platform Computing Solutions Reference Architectures and Best Practices, SG24-8169 at the following website:
IBM Platform Computing Cloud Service offers:
To understand more about this offering and its capabilities, refer to the IBM Platform Computing Cloud Service narrated demonstration by Gord Sissons at:
For more details on IBM Platform Computing Cloud Service, follow the blog by Gord Sissons (Tapping the cloud with IBM Platform Computing) at:
For additional information on IBM Platform Computing Cloud Service and many other solutions, refer to the following website:
Recently the ITSO announced this residency to develop how to content to building and managing Linux clusters for Cloud computing, analytics, mobile, etc. The residency information can be found at:
The goal of this residency is to show that IBM's PowerLinux cluster solutions (hardware and software) deliver significant value to clients in need of cost-effective, highly scalable, and robust solutions for BigData, analytics, Clouds, etc.
This residency project compliments the recently announced IBM Platform Computing Solutions Reference Architectures and Best Practices, SG24-8169 publication which provides how to details on how to deploy solutions for technical computing highlighting IBM Platform Computing, IBM iDataPlex, and IBM GPFS. The draft can be found at:
Thus far, you have read a few of the IBM Redbooks discussing topics with IBM Platform Computing for managing cluster solutions showing integrated solutions such as IBM System x, IBM Storage, IBM GPFS and of course IBM Platform Computing offerings. Please let me know if there are any topics you would like team to deliver content in the upcoming residency project. Your feedback is valuable.
DinoQuintero 2700050KT5 Tags:  performance ibm computing high platform technical 1 Comment 4,321 Views
In response to: Residency Announcement: PW-3001-R01 Technical Computing CloudsWould you like to know what Technical Computing Clouds is about? We encourage you to listen to the video
DinoQuintero 2700050KT5 Tags:  biginsights analytics spectrum storage ibm power systems edition infosphere platform manager scale cluster linux advanced 4,317 Views
The residency team is pleased to announce the draft release of the Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power, SG24-8248. The topics described in this publication are as follows:
The draft publication can be downloaded at the following website:
Note: The team encourages the readers to send us feedback. Please add your comments to my blog entry.
Keep tune to http://www.redbooks.ibm.com/ under the Residencies Tab for IBM ITSO residency announcements for BigData and analytics on IBM Power Systems.
For additional information about IBM BigData and analytics on IBM Power Systems, refer to the following website:
Final draft publication of the IBM Platform Computing Solutions Reference Architectures and Best Practices, SG24-8169
The residency team is pleased to announced the final draft release of the IBM Platform Computing Solutions Reference Architectures and Best Practices, SG24-8169 publication which provides details on how to deploy solutions for technical computing and big data highlighting IBM Platform Computing, IBM iDataPlex, and IBM GPFS. The final draft can be found at:
We would like to highlight two chapters which provide information on how to implement solutions for technical computing and big data utilizing IBM Platform Cluster Manager Standard Edition (PCM-SE) 4.1.1, IBM Platform Symphony Advanced Edition 6.1.1, and IBM GPFS FPO 3.5. Also note the great team work on chapter 4 in particular on the use of templates for faster deployment of the clusters:
Chapter 3. IBM Platform High Performance Computing implementation scenario
Chapter 4. IBM Big Data implementation on an IBM High Performance Computing cluster
For additional information on IBM Platform Computing Cloud Service and many other solutions, refer to the following website:
For more information on IBM GPFS, refer to the website:
The residency team invites you to download and read the second IBM Redbooks publication for IBM Platform Computing Solutions.
This publication describes the integration of IBM Platform Symphony with IBM BigInsights, and provides IBM Platform LSF implementation scenarios leveraging IBM System x technologies.
This IBM Redbooks publication contains the following table of contents:
Chapter 1. IBM Platform Computing Solutions products and portfolio
Chapter 2. IBM Platform Symphony and IBM BigInsights integration
Chapter 3. IBM Platform LSF implementation scenario
Chapter 4 IBM Platform Computing Solutions and industries
Chapter 5. IBM Platform Computing Solutions security considerations
Appendix 1. IBM BigInsights configuration files
This IBM Redbooks publication can be downloaded at the following website:
In 2013, we are focusing on updating topics with the latest versions of IBM Platform Computing (LFS, Symphony, etc.). We are also focusing on bringing architectural references to our readers describing the platforms where the solutions can be implemented. Your comments and suggestions are welcome. Keep an eye on the upcoming residency announcements on IBM Platform Computing solutions.
This project will update previous IBM Platform Computing Redbooks publications SG24-8073 and SG24-8081 - Some areas of focus are:
• Include messaging around synergies across the IBM product portfolio and major use cases
• Reflect the new IBM Platform Computing cloud service as part of the Platform Symphony and LSF messaging
• Reflect significant new LSF add-ons (Hadoop Connector, MapReduce Accelerator, Dynamic Cluster etc ..)
• Reflect significant new Platform Symphony add-ons (Co-processor harvesting add-on, planned application service controller add-on)
• Cover support for updated Intel and Power platforms
In addition to updating the IBM Platform Computing publications, the residency team will explore, document, and create content with the following topics:
IBM Platform Computing Big Data Redbooks updates ====> publication SG24-8169 - Some areas of focus are:
o GPFS as a shared file system for Big Data environments
o Explanation of IBM Platform Symphony Map Reduce framework
o Educate on the various ways that customers can run Hadoop in a Big Data environment
o Adaptive MapReduce in BigInsights
o Open-source Hadoop on Symphony AE
o Third-party Hadoop distros on Symphony
o New free Hadoop connector for LSF
o New MapReduce Accelerator for LSF
For additional information including the link to the nomination form, refer to the following website:
DinoQuintero 2700050KT5 Tags:  ibm (hpc) high performance power technical power8 suite systems hpc linux solutions platform computing 3,822 Views
I would like to announce the opening for nominations for the IBM Life Sciences Integrated Solution on IBM POWER8 residency to examine, explore, test, and document an integrated infrastructure for Life Sciences workloads. The goal for this residency is to develop technical content to:
1. Describe why Life Sciences workloads on IBM POWER8?
2. Show how to use an IBM POWER8 Cluster for Life Sciences workloads.
3. Deliver technical documentation, complementing available product manuals to help you manage your IBM POWER8 cluster environment.
The residency announcement including time table, requirements, and nomination form can be found at the following website:
Note: Your feedback is welcome. For any topic suggestions or overall residency recommendations, add your comments my blog entry.
For more information on IBM Technical Computing, refer to the solutions website at:
Here are ten ways that Platform Computing software can help you do more with less:
For more details on how IBM Platform Computing software can help you reduce costs, refer to the blog by Gord Sissons on this topic at:
DinoQuintero 2700050KT5 Tags:  analytics biginsights power8 infosphere platform computing power hadoop ibm systems 3,541 Views
I would like to announce the opening for nominations for the Implementing an Analytics Optimized Solution on IBM POWER8 residency focusing on configuring, writing, exploring, testing, tuning, and documenting how to leverage the latest IBM POWER8 and Big Data solutions to run analytics workloads.
The goal for this residency is to continue to develop technical content and scenarios to:
1. Describe how to plan, prepare, install, manage and show how to use IBM POWER8 to run analytic workloads on IBM POWER8.
2. Deliver additional technical documentation, complementing available products and solutions manuals to help you with your data analytic needs.
3. Document scenarios on how to use IBM POWER8 Cluster for Technical Computing workloads.
The residency announcement including time table, requirements, and the nomination form which can be found at the following website:
Note: Your feedback is important and welcome. For topic suggestions or residency recommendations, please add your comments to my blog entry.
For more information on IBM Analytics Solutions, refer to the solutions website at: