SAP HANA on IBM Power Systems helps to simply information technology (IT). The POWER8 server compliments the speed and agility of SAP HANA. The combination of these technologies helps to run large workloads, helps to run faster transactions, and helps to answer to the new customer demands. After all, you must be asking yourself: What else do you need in a great solution?
The combination of SAP HANA with IBM Power Systems simplifies the management of the technology, and together with Power Systems virtualization provide a flexible platform with high availability, capacity, and with high throughput: http://bit.ly/2qjYpHn.
The goal of the IBM Redbooks project is to develop an implementation guide for SAP HANA on Power Systems. This guide includes information on how to implement the solution, best practices, and incorporates high availability and disaster recovery. The guide combines theory and hands-on samples, illustrating scenarios discovered during field implementations.
The following example shows a global manufacturer Kennametal improving performance of their operations with IBM Power Systems and SAP HANA: http://bit.ly/2qL4zj7.
For more information about SAP HANA on Power Systems, read the following webpage:
Announcing the IBM PowerHA SystemMirror for AIX 7.1.3
The IBM PowerHA SystemMirror for AIX Standard Edition is the IBM Power Systems data center solution that helps protect critical business applications from outages, planned or unplanned. PowerHA SystemMirror for AIX Enterprise Edition includes the Standard Edition plus advanced capabilities such as failover to back up resources at remote locations.
PowerHA SystemMirror for AIX 7.1.3 enhances and adds new capabilities, including the following key features:
1. HyperSwap for active-active two-site configurations
2. HyperSwap for single-node clusters
3. Support for clustering with unicast communications
4. Capability to dynamically modify the host name of a clustered node
5. Operator-managed manual failover policy for multisite linked clusters
6. Graphical Cluster Simulator
7. Enhanced and flexible high availability management support for SAP
The residency team is pleased to announce the release of their IBM Redbooks publication - IBM Technical Computing Clouds - A draft IBM Redbooks publication located in the ITSO Redbooks website: http://www.redbooks.ibm.com/Redbooks.nsf/RedpieceAbstracts/sg248144.html?Open . The team would like to hear from your with your comments on this publication. Enjoy the publication.
The residency team invites you to download and read the draft of the IBM PowerHA SystemMirror 7.1.2 Enterprise Edition for AIX Redbooks publication.
This publication delivers the following table of contents:
Part 1 - Introduction
Chapter 1. Concepts and overview of the IBM PowerHA SystemMirror 7.1.2 Enterprise Edition
Chapter 2. Differences between PowerHA Enterprise Edition 6.1 and 7.1.2
Chapter 3. Planning
Part 2. - Campus style disaster recovery (streched clusters)
Chapter 4. Implementing DS8800 HyperSwap
Chapter 5. Cross-site LVM mirroring with PowerHA Standard Edition
Part 3 - Extended disaster recovery (linked clusters)
Chapter 6. Configuring PowerHA SystemMirror Enterprise Edition linked clusters with SVC replication
Chapter 7. Configuring PowerHA SystemMirror Enterprise Edition with XIV replication
Part 4 - System administration, monitoring, maintenance, and management
Chapter 8. Migrating to PowerHA SystemMirror 7.1.2 Enterprise Edition
Chapter 9. PowerHA 7.1.2 Systems Director plug-in enhancements
Chapter 10. Cluster partition management
Part 5 - Appendices
Appendix A. Configuring PowerHA with IPv6
Appendix B. DNS change for the IBM Systems Director environment with PowerHA
In 2013, we continue providing our clients with additional reference documentation utilizing IBM PowerHA SystemMirror as the key to help our IBM Power Systems clients with high availability solutions for their enterprise applications. Comments, questions, and suggestions are welcome as we continue to promote the adoption of IBM PowerHA SystemMirror across our clients environments.
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.
5 things you should know about IBM Spectrum Scale (formerly GPFS)
Spectrum Scale now part of IBM Spectrum Storage family, part of IBM's $1 Billion investment in software defined storage.
Single global namespace across all data tiers, including flash and cloud (service on Softlayer).
Object storage with integration with Swift (will be better with 4.1.1 release, not sure you can say that in a blog).
Scalability to handle the massive, ever-growing amounts of data in the new CAMS world.
Open and flexible, available as software (on almost any hardware), as a bundled IBM solution, or as a service running on Softlayer.
Modified on by DinoQuintero
The IBM ITSO is very close to release the latest PowerHA publication: IBM PowerHA SystemMirror 7.1.3 for AIX Best Practices and Reference Architectures, SG24-8167. Keep an eye to the announcement of the draft publication which will provide topics on the latest PowerHA 7.1.3 features, migration scenarios, monitoring, etc.
I am also announcing the opening of the next PowerHA residency to continue developing content on best practices and in particular migration scenarios. Our intend for this project is to continue to develop technical content to help you manage your PowerHA environments and with your feedback provide you with the best technical guidelines to keep your environment highly available. The new residency announcement can be found at:
Feedback for the residency team in regards to the current IBM PowerHA publications available at the ibm.com/redbooks website or feedback regarding upcoming topics for the residency team are welcome.
Modified on by DinoQuintero
PowerHA SystemMirror for Linux V7.2.2 is for keeping mission-critical Linux workloads on Power Systems servers available 24 x 365. The first release of PowerHA for Linux features a high-availability (HA) solution for SAP HANA, SLES, RHEL, and PowerHA UI/Dashboard. It also supports custom workload configurations. PowerHA V7.2.2 was designed with our AIX and Linux customers in mind. Increasingly, we see IT shops with both AIX and Linux deployments and we wanted to ensure that IT operations can readily manage both with the same look and feel. The GUI/Dashboard enables you monitor and manage both from the same screen and the CLI is designed to be the same for both environments.
PowerHA SystemMirror for Linux provides an integrated HA management solution for SAP workloads, including support for:
- HA management for SAP HANA system replication
- A wizard to deploy HA policies that enable an integrated HA management environment
- Integrated HA management for the SAP NetWeaver environment, including smart assists for simplified deployment and management
Here are 5 things to know about PowerHA SystemMirror for Linux on IBM Power Systems:
1. Solution that helps provide high availability on Linux distributions.
IBM PowerHA SystemMirror for Linux V184.108.40.206 introduces support for the following:
- SAP HANA on SUSE Linux Enterprise Server
- SAP NetWeaver on SUSE
- PowerHA Cluster manager UI
- SUSE Linux Enterprise Server (SLES) 12 (LE mode)
- Supports Linux LPARs on PowerVM platform
- Red Hat Enterprise Linux (RHEL) Little-Endian (LE) 7.2 and 7.3
2. IBM PowerHA SystemMirror prerequisites.
PowerHA SystemMirror V7.2.2 integrates clustering technology into the kernel and the operating system, enabling our customers to be more productive while delivering high quality IT services with robust and easy-to- manage solutions. PowerHA SystemMirror for Linux V7.2.2 supports:
- IBM POWER8 and later technology-based servers
- SUSE Linux Enterprise Server (SLES) 12 (LE mode)
- Linux LPARs on PowerVM platform
- Red Hat Enterprise Linux (RHEL) Little-Endian (LE) 7.2 and 7.3
3. Smart assists streamline implementation and configuration.
PowerHA V7.2.2 provides smart assists for easier, out-of-the-box high availability setup and application management for SAP HANA scale-up and SAP NetWeaver. The smart assists are high-availability agents for application deployment and management. Smart assists are used to define high-availability policies by discovering software that is deployed within the cluster. Discovery-based information helps define the high availability policy and provides periodic health monitoring, enabling middleware and resource dependencies to be restarted via the specified policy.
4. The UI/Dashboard enables you to monitor and manage both your AIX and Linux clusters from a single screen.
The PowerHA V7.2.2 UI/Dashboard enables you to monitor and manage both your PowerHA on AIX and your PowerHA on Linux clusters from the same screen. You will be able to set up cluster zones for multitenant hosting and establish user role-based access authorization. The PowerHA UI/Dashboard will enable you to conduct routine cluster management such as move RSG, start/stop cluster, and cluster verification.
5. PowerHA SystemMirror V7.2.2 for Linux disaster recovery.
The PowerHA SystemMirror V7.2.2 for Linux does not offer an Enterprise Edition. Our recommended solution for disaster recovery is Geographically Dispersed Resiliency (GDR). With GDR clients can replicate their traditional data center cluster VMs a remote location for disaster recovery. GDR makes disaster recovery testing relatively simple while putting the operator in charge of managing failover policy and procedures.
High availability solutions from IBM provide clients with the confidence that comes from integrated design and testing. This reduces the risk of failures resulting from combining disparate components from multiple vendors and can be a critical factor for business environments. IBM high availability solutions provide the advantage of IBM Power Systems, the AIX or IBM i operating systems, IBM Storage offerings and PowerHA SystemMirror software. For more information on the IBM PowerHA SystemMirror, refer to the following:
Power Systems solutions for high availability Resiliency for AIX, Linux and IBM i
IBM Knowledge Center – PowerHA SystemMirror for Linux V7.2.2
IBM Power Systems Home Page
Dino E. Quintero
Modified on by DinoQuintero
Si usted esta leyendo este blog, usted sabe algo de los IBM Redbooks y que son. Asumimos ademáas que es también familiar con el formato de este blog que describe los cinco puntos más importantes de un tópico técnico y distribuye el conocimiento con nuestra audiencia. Pero creemos que no todos ustedes están familiarizados con los Redbooks y queremos continuar introduciendo y promoviendo nuestro materiales a la nueva generación y comunidad de técnologos.
IBM Redbooks provee una perspectiva única a muchas preguntas técnicas desde el punto de vista de SMEs (subject matter experts) los cuales se reúnen por un corto tiempo a crear una publicación para resolver un reto técnico. Algunas veces estos retos provienen de requisitos de clientes, experiencias en el campo, o de ideas que los residentes traen o desarrollan durante el transcurso de la creación de la publicación.
Asi que decidimos crear 5 Cosas Que Debes Saber Acerca de IBM Redbooks para introducirnos a la nueva audiencia y quizás nuestros leales lectores aprendan algo nuevo:
- ¿Qué son IBM Redbooks?
IBM Redbooks son documentos técnicos, blogs y videos que ayudan a aprender, adoptar e instalar soluciones creadas por SMEs y además complementan los manuales de los productos de IBM. Por más de 40 años, IBM Redbooks han incluido contenido técnico el cual no está en manuales. Por ejemplo: conceptos técnicos, tendencias y direcciones de la industria, profundos escenarios técnicos, escenarios de integración con productos de terceros y contenido técnico describiendo como incorporar productos de IBM a soluciones con óptimos resultados. Las publicaciones son descargadas y leídas millones de veces cada año y son conocidas como el estandar de oro de la comunidad técnica. La mejor parte es que todo el material teécnico es gratuito.
- ¿Son IBM Redbooks manuales?
IBM Redbooks no reemplazan los manuales de los productos y soluciones de IBM. Los Redbooks complementan los manuales con prácticos escenarios técnicos, pero siempre apuntando y enlazando los manuales de IBM o al IBM Knowledge Center.
- ¿Cómo son hechos los IBM Redbooks?
IBM Redbooks nacen del proceso de residencias de IBM Digital Business Group que reúne a un equipo de profesionales técnicos como business partners, clientes y personal de IBM. Por medio de nominaciones el equipo de residentes es selecionado para participar en una localidad de IBM, participan remoto, y de dos a ocho semanas. Los residentes son presentados con un escenario y crean sus soluciones en borrador las cuales se prestan al nacimiento de una publicación de IBM Redbooks. El proceso también le da a los residentes la oportunidad de ser autores de la publicación.
- IBM Redbooks en el mundo digital
Hace unos años, IBM Redbooks paso por una tranformación. Previamente, Redbooks eran solamente conocidas como largas y voluminosas guías técnicas. En este mundo ágil, hay diferentes formatos de entrega diseñados para cortos documentos técnicos hasta más largas y comprensivas publicaciones. Esta transformación se presto para crear nuevos formatos (Redpapers, Redguides, Product Guides, Solutions Guides, blogs, and videos) todos variando en tamaño, para incorporarlos al mundo digital. Hoy, IBM Redbooks puede crear contenido técnico en el formato que se necesite.
IBM Redbooks son distribuidos por medio de nuestro sitio web en formatos PDF o EPUB, por medio de Apple iBooks, Google Play, y también por medio de la aplicación oficial móvil de IBM Redbooks. Hay además impresión a demanda disponible para los lectores que quieran copias de la publicación.
- IBM Redbooks y Open Source
IBM Redbooks también cubren tópicos relacionados a integraciones y escenarios de software y hardware de terceros incluyendo OpenStack con productos y soluciones de IBM. Estás publicaciones tienen información de como integrar productos y soluciones no pertenecientes a IBM en los centros de cómputos.
Asegúrese de visitarnos por medio de los siguientes canales para estar al día de las últimas publicaciones:
IBM Redbooks continua creando contenido y haciendolo disponible por medio de varios canales. Comuniquenos si les gustaría ver los IBM Redbooks en un lugar nuevo.
Dino E. Quintero
IBM Redbooks Enterprise Solutions Enablement
I am working brainstorming topics with my residency team about IBM PowerHA with focus on migration practices.
After evaluating the current documentation including: Installation guides (manuals) and available Redbooks, there is very good documentation on migration scenarios already available including combinations of operating systems and PowerHA versions.
I am asking the broader technical audience via my blog if there is anything outside of what is currently documented that you think might be useful to create content, and document it an IBM Redbooks.
Feedback would be greatly appreciate it.
I have a few question to help me influence and steer the residency team for the upcoming IBM PowerHA SystemMirror for AIX residency.
1. What are the challenging your customer face?
2. What are the gaps in technical content which can be developed during the residency?
3. Where can we make a big bang during this residency?
From a business perspective, field perspective? Your perspective! What is missing? gap?
Please let me know your comments so I can relay the message to the residency team.
In response to: Residency Announcement: PW-3001-R01 Technical Computing Clouds
Would you like to know what Technical Computing Clouds is about? We
encourage you to listen to the video
which gives you insights on the different industry solutions the
residency team research, tested, and documented during the
The residency team encourages you to download and read the IBM PowerHA SystemMirror Standard Edition 7.1.1 for AIX Update Redbooks publication. This publication contains information, scenarios, and useful information that can help you compare the features in previous versions of PowerHA Standard Edition with the new release. Thus helping you plan with your clients upcoming upgrades, and new implementation opportunities.
Chapter 7 is a very special chapter because for the first time the residency team covers the Smart Assist for SAP in a implementation scenario. Chapter 7 couples with Appendix E to provide as much detail on how to implement SAP and PowerHA.
This IBM Redbooks publication contains the following table of contents:
Chapter 1. Introducing IBM PowerHA SystemMirror 7.1.1
Chapter 2. Cluster Aware AIX
Chapter 3. PowerHA 7.1.1 basic installation and configuration
Chapter 4. Cluster administration
Chapter 5. Smart Assists for PowerHA SystemMirror
Chapter 6. Migration scenarios
Chapter 7. IBM PowerHA SystemMirror Smart Assist for SAP
Chapter 8. Workload partition and PowerHA scenario
Appendix A. AIX upgrades and PowerHA SystemMirror 7.1.0
Appendix B. Configuring the PowerHA cluster by using clmgr
Appendix C. Creating the hardware environment by using command-line tools
Appendix D. Replacing the failed repository disk if any nodes are not joined to the cluster
Appendix E. IBM PowerHA SystemMirror Smart Assist for SAP accessories for Chapter 7
Appendix F. PowerHA and workload partition examples
This IBM Redbooks publication can be downloaded at the following website:
If you have any suggestions, comments, or any feedback, please let us know via this blog. The team that developed this Redbooks publication looks forward to receiving any feedback.
The residency team invites you to download and read the first IBM Redbooks publication on the IBM Parallel Environment (PE) Developer Edition.
This IBM Redbooks publication has the following table of contents:
Chapter 1. Introduction
Chapter 2. Component tour
Chapter 3. Scenarios
Chapter 4. Server installation
Chapter 5. Managing projects using the Eclipse and PTP framework
Chapter 6. Parallel Environment Developer Edition tools
Chapter 7. Application profiling and tuning
Appendix A. HPC Toolkit environment variables
This publication delivers information to our Technical Computing (High Performance Computing) clients how to leverage IBM Clustering technologies (IBM System x, IBM iDataPlex, IBM Power Systems). There are many technologies that were used during this project to implement the environment which included system management software such as xCAT, and parallel file system with IBM General Parallel File System (GPFS).
The residency team looks forward to reading your comments in this blog. If you have any questions, comments, or any topics for future residency projects on this subject, please add your comments.
The nomination period for the IBM Cluster Health Check residency is still open. I encourage you to submit your nomination to this residency or send comments on any particular area you would like the residency team to research, implement, test, and document.
During the residency, the team will customize, test, check and verify the Cluster infrastructure configuration and document how to monitor the overall health check of the Cluster infrastructure to deliver clients cost-effective, highly scalable, and robust solutions. The residency team will test and document topics to provide infrastructure health checks, check the cluster configuration, verifying functionality of the common subsystems (nodes or servers, switch fabric, parallel filesystem, job management, problem areas, etc.).
To submit a nomination, use the online web nomination form:
For any suggestion, comment, feedback, please add your comments to this blog.
Good morning IBM Redbooks readers and followers. I hope your first quarter endeavors are moving along well, and I wish you success for the remainder of the year.
I would like to take this opportunity to express gratitude for all your feedback, collaboration, and conversations in the past year. I am looking forward to continuing our open dialogue regarding IBM Redbooks content, challenges, and how those can be addressed by way of these technical publications.
A few of the publications delivered by my teams in 2017 included contents on Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems, REDP-5443, IBM Open Platform for Database as a Service Implementation and Best Practices Guide for Linux on IBM Power Systems, SG24-8408, IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers, SG24-8409, and others.
In 2018, the technical content development continues with additional implementation updates on SAP HANA on IBM Power Systems and IBM PowerSC, and new technical content on PowerHA SystemMirror for Linux on IBM Power Systems, IBM Cloud Solutions, IBM Reference Architecture for Genomics on IBM Power Systems, IBM High-Performance Computing on IBM POWER9, and others.
I encourage you to provide feedback on the publications already available and encourage you to look at the upcoming residencies and submit your nominations. Your feedback and participation are very important to the success of IBM Redbooks.
You can read additional technical content, comments, and technical hints and tips by way of my IBM developerWorks workspace at the following website: https://ibm.co/2FMkIx6. You can also follow me on tweeter at https://twitter.com/dinoatredbooks, and on LinkedIn at https://www.linkedin.com/in/dinoquintero.
If you have not yet signed up to receive the IBM Redbooks newsletter with information on the latest publications, blogs, videos, and more, see the following website: https://ibm.co/2pmD9Sb.
For information about the latest IBM Redbooks publications, residencies, and workshops refer to the following website: www.ibm.com/redbooks.
Have a wonderful day, great weekend, and happy reading.
Although I published almost a similar blog a while ago to bring facts about IBM Redbooks, I am writing once again to re-iterate those facts, and to ask you for continuous feedback on all the content already published and the content to be released this year. IBM Redbooks continues to deliver sought after technical content, solution examples, and details on how to implement or consume IBM offerings in many areas including Cloud, Cognitive, high-performance computing, Artificial Intelligence, and others.
IBM Redbooks are developed by teams of Subject Matter Experts (SMEs) in partnership with architects and developers who own the solution, hence part of the residency involves providing direct feedback to the teams regarding the solution itself, including among other things easy of use and integration to current customer’s environments. Moreover, the residency teams execute another testing cycle checking for any issues and provides direct feedback to the IBM Knowledge Center owners.
IBM Redbooks residency teams combine their knowledge, compound their synergies, and put passion on the technical content delivered in the publications always keeping in mind you the reader, and how you can benefit from the written content.
The following link provides the details of the 5 Things to Know about IBM Redbooks blog:
The blog has been written and published in Spanish: 5 Cosas Que Debes Saber Acerca de IBM Redbooks
Your feedback is very important to continue to improve the quality of IBM Redbooks, demonstrate IBM Redbooks contribute to the success of our customers, and helps IBM generates leads.
For information on IBM Redbooks publications, residencies, and workshops, refer to the following website:
Thank you very much for taking the time to read the blogs and providing feedback.
Happy reading and happy computing.
Data, in all forms, is expanding as a resource to be utilized. Yet in many industries and professions, the data explosion is outstripping the human capacity to understand the meaning hidden within that data. Patterns for Cognitive Computing Systems can unlock the potential in all data, internal, external, structured, unstructured, voice, and visual, and make it work together.
Cognitive Computing is perhaps most unique in that it alters the established IT doctrine that a technology’s value diminishes over time; because Cognitive Systems improve as they learn, they become more valuable. This quality among others makes cognitive technology highly desirable for business, and many early adopters are leveraging the competitive advantage it affords.
Think of a Pattern as a use case on a specific scenario such as Event based Real Time Marketing for Real Time Analytics, Anti-Money Laundering, address Data Oceans by reducing cost of Hadoop, and so on. Those are just a few of the Cognitive Patterns now available. Patterns identify and address pain points for cognitive infrastructures. These entry points then help you understand where you are on the cognitive journey and enables IBM to demonstrate the set of solutions capabilities for each lifecycle stage.
Here are 5 things to know about IBM Patterns for Cognitive Computing Systems:
1. What are Patterns for Cognitive Computing Systems?
Patterns for Cognitive Computing Systems are solutions addressing a combination of customers’ challenges and pain points utilizing IBM Power Systems Solutions portfolio to deliver a viable recommendation to help solve the problem. Patterns for Cognitive Computing Systems helps to classify (prediction) with accuracy and can determine appropriate products to be recommended to customers. For example, utilize history for different customers, ratings on products and Machine and Deep Learning techniques to make targeted recommendations that ensure better product purchase rates, click rates, customer retention rates, better customer experiences, and others.
2. Patterns for Cognitive Computing Systems helps to eliminates data infrastructure silos and manages information lifecycle.
In the fast-paced environment customers are faced with, information storage often gets optimized to a single application or departmental requirement. This leads to information silos in an organization and creates significant difficulties in synchronizing and sharing this information across the enterprise. These silos can be spread across many different storage and file system technologies, further complicating this unifying process. Utilizing Spectrum scale and IBM Elastic Storage Server, for example, a customer can logically or physically combine these silos into a unified, more manageable and sharable storage environment.
3. Patterns for Cognitive Computing Systems helps to backup, restore and archive big data.
With the massive amounts of data that comes with big data implementations, it is often very difficult to back up business critical sets of data. Utilizing IBM Spectrum family of products (Spectrum Scale, Spectrum Archive, Spectrum Protect) and low cost and high capacity storage capabilities (Cloud Object Storage, Elastic Storage Server, Tape) customers can establish economic and performing backup, restore and archive capabilities for their big data environments.
4. Patterns for Cognitive Computing Systems helps to meet performance requirements for technical workloads.
As requirements for instantaneous analysis of information grows with high-performance computing (HPC), high-performance data analysis (HPDA) and cognitive workloads, the high-performance access of data becomes critical. Utilizing Elastic Storage Server with Spectrum Scale Native RAID provides high data reliability, high data integrity, consistent performance.
5. Patterns for Cognitive Computing Systems helps to augment data warehouses with Hadoop.
This cognitive pattern leverages Hadoop to help customers optimize and improve cost effectiveness of their data warehouses. Traditional, proprietary data warehouse systems are very expensive to purchase, upgrade and maintain, making them a highly desirable area for cost reduction. These systems also have difficulty in supporting unstructured data. However, they tend to be very integrated into customer business operations making them difficult to eliminate. Customers often enrich the structured data in a data warehouse with unstructured data in a Hadoop environment to provide a complete data environment.
The idea is to start the conversation with customers, listen to their challenges and pain points, and bring answers to the challenges discussed during these conversations incorporating IBM Power Systems Solutions portfolio. For more information and examples of some of the solutions already available across industries, refer to the following documentation.
IBM Cognitive Systems PowerAI makes deep learning, machine learning, and AI more accessible and more performant. Refer to the following webpage for more details:
For IBM Watson: AI and Cognitive computing solutions with IBM Power Systems, and for a cognitive computing system designed for complex analytics -- integrating massively parallel POWER processors and DeepQA technology can be read at the following website: https://www.ibm.com/power/solutions/cognitive-computing
For Enterprise AI, refer to the following website: https://www.ibm.com/it-infrastructure/us-en/resources/power/enterprise-ai/
For IBM Power Systems solutions information, refer to the following website: https://ibm.co/2DOzPoS
The residency team is announcing the draft release of the IBM PowerAI: Deep Learning Unleashed on IBM Power Systems, SG24-8409 publication.
This IBM Redbooks publication targets technical readers including developers, IT specialist, systems architects, brand specialist, sales team, and anyone looking for a guide on how to understand IBM PowerAI Deep Learning ecosystem architecture, framework configuration, application and workload configuration, and end user infrastructure.
The table of content for this publications is the following:
Chapter 1. Introduction to artificial intelligence (AI) and deep learning (DL)
Chapter 2. Introduction and overview of IBM PowerAI
Chapter 3. IBM PowerAI components
Chapter 4. Deploying IBM PowerAI
Chapter 5. Working with data and creating models in PowerAI
Chapter 6. Introduction to IBM Spectrum Conductor Deep Learning Impact (DLI)
Chapter 7. Case scenarios: Leveraging IBM PowerAI
Appendix A. Sentiment analysis code
Appendix B. Problem determination tools
This publication can be downloaded at the following website:
For more information about IBM PowerAI Deep Learning on IBM Power Systems, refer to the IBM PowerAI website:
Bruno C. Faria
PowerAI is an IBM Cognitive Systems offering for the rapidly growing and quickly evolving artificial intelligence (AI) category of deep learning. PowerAI brings a suite of capabilities from the open source community and combines them into a single enterprise distribution of software that incorporates complete lifecycle management from installation and configuration; data ingest and preparation; building, optimizing, and training the model; to inference; testing; and moving the model into production.
Deep learning is the fastest growing subcategory of machine learning and uses software neural networks to help develop patterns of analysis within the system to generate predictive capability: deep learning is a platform that is capable of effectively learning how to learn, and it is immensely powerful for helping clients get the most out of their data.
IBM PowerAI V1.5 is a software solution designed to provide an end-to-end deep learning platform for data scientists. This solution simplifies the process of creating deep learning environments, from single systems to the largest clusters, and provides prominent levels of deep learning training performance by taking advantage of IBM’s unique accelerated systems architecture.
Here are 5 things to know about IBM PowerAI:
1. Helps to make deep learning easier and faster for organizations.
The solution provides workflow support for the deep learning lifecycle on a distributed architecture from data ingest and preparation, through model training and optimization to inference, moving the model into production. PowerAI helps enable your clients' teams to iterate through the deep learning cycle faster, training on more data to continuously improve the model.
2. Designed to provide an end-to-end deep learning platform for data scientist.
PowerAI offers many optimizations that can ease installation and management, and can accelerate performance, for example:
- Ready-to-use deep learning frameworks (TensorFlow, IBM Caffe, and BVLC Caffe).
- Distributed as easy-to-install binaries.
- Includes all dependencies and libraries.
- Easy updates: Code updates arrive from a repository.
- Validated deep learning platform with each release.
- Dedicated support teams for deep learning.
- Designed for enterprise scale with multisystem cluster performance and large memory support
3. Designed for enterprise scale.
PowerAI is designed for enterprise scale, with software optimized for both single server and cluster deep learning training. PowerAI takes advantage of a distributed architecture to help enable your teams to quickly iterate through the training cycle on more data to help continuously improve the model over time. PowerAI enables clients to distribute the training of a model across many servers, with the potential for greatly improving performance. What used to take weeks on a single server can potentially now be completed in just hours. This distributed capability is also transparent to the application logic previously written for a single server implementation. It is the best of both worlds: potential performance improvements without having to change the application code.
4. Deep learning to unleash new analytic capabilities.
Deep learning or machine learning design enables computers to learn from experiences, like how humans learn. In addition, like how humans store past experiences in their brain, deep learning design enables computers to store past experiences as data. Organizations use deep learning to develop powerful new analytic capabilities that span multiple usage patterns, from computer vision and object detection, to improved human computer interaction through natural language processing, to very sophisticated anomaly detection capabilities. At the core of any use case associated with deep learning are very sophisticated pattern recognition and classification capabilities, which serve as the springboard for revolutionary applications and insights of the future.
5. Training neural network models.
Training a model takes a long time. Training neural network models is often measured in days or even weeks. During this time, any interruption means starting over. In addition, if accuracies are not high, the result might have limited usage and is only known after the completion of the training cycle. With PowerAI, data scientists have visual tools for understanding accuracy while the model is running; If accuracy is not high, the model can be stopped without wasting additional time.
IBM intends to deliver IBM PowerAI Vision, an application development tool for computer vision workloads. IBM PowerAI Vision is intended to automatically train deep learning models for different image and video input data sets.
To learn more about IBM Power AI, refer to the following website:
Bruno C. Faria
The residency team is announcing the draft release of the Open Platform for Database as a Service (DBaaS) Implementation and Best Practices Guide For Linux on IBM Power Systems, SG24-8408 publication.
This book is targeted toward IBM sellers teams, IBM architects, IBM brand specialists, distributors, resellers and anyone developing and implementing Open DBaaS solutions.
The table of content for this publications is as follows:
Chapter 1. Overview of Open Platform for Database as a Service on IBM Power Systems
Chapter 2. IBM DevOps concepts
Chapter 3. Architecture of Open Platform for DBaaS on IBM Power Systems
Chapter 4. Using and managing Open Platform for DBaaS on IBM Power Systems
Chapter 5. Monitoring and problem determination
Chapter 6. Scaling of Open Platform for DBaaS on IBM Power Systems
Appendix A. Servers provisioning and deployment
This publication can be downloaded at the following website:
5 Things to Know About Open Platform for Database-as-a-Service (DBaaS) on IBM Power Systems
For more information about Open Platform for DBaaS on IBM Power Systems, refer to the following website:
The IBM Redbooks team is announcing the re-release of the IBM Spectrum Scale (formerly GPFS) publication. Refer to the following note regarding the versions of the solutions tested during the development of this publication:
Note: This edition applies to IBM Spectrum Scale (formerly GPFS) v220.127.116.11 (TL1), SLES 11 SP2, SLES11 SP3, RHEL ppc64 6.5, AIX 7.1 TL3, Tivoli Storage Manager 7.1 Server, Client and Storage Agent (LAN-free), Tivoli Storage Manager for Space Management 7.1.1, and TSM for Space Management (HSM) 7.1.1.
This publication can be downloaded at the following website:
Note: This book has not been updated. This book has been placed online once again as it contains useful and still applicable concepts.
Although this publication is not at the latest Spectrum Scale releases, the book describes concepts which are still applicable to later releases of the solution. However, for the latest information about the the solution, including its latest releases, visit the IBM Knowledge Center for IBM Spectrum Scale at the following website:
The following link takes you to an IBM Geographically Dispersed Resilience (GDR) for IBM Power Systems demonstration:
5 Things You Should Know about the IBM Geographically Dispersed Resilience (GDR) for Power Systems, read the following link:
For more information about the IBM Geographically Dispersed Resiliency for Power Systems, refer to the following website:
During this event hosted in Prague, Czech Republic from November 6 through November 10, 2017 John Wright and Luis Bolinches delivered an Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems poster and presentation sessions. Traffic was continuous during the poster session, and attendees stopped by to talk to Luis and John about their experiences implementing SAP HANA on Power Systems solution. Also a presentation was delivered too which attracted 40+ participants to the session. Thank you very much to Luis and John for delivering these presentations, and to all the attendees for joining them during both presentations.
Note: Minor updates has been applied to the Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems, REDP-5443.
The updated publication can be downloaded at the following website:
For more information about SAP HANA on IBM Power Systems, refer to the IBM Power Systems for SAP HANA at the following website:
Rodrigo Ceron Ferreira de Castro
The PowerAI offering bundles all of the common Machine Learning/Deep Learning frameworks and all their dependancies into one easy to use installer. This video demonstrates how to install IBM PowerAI RC4 for IBM Power Systems:
This video was made as part of the upcoming IBM PowerAI Redbooks publication. For more information about current and upcoming IBM Redbooks publications and residencies, visit the following website:
If you have any specific questions, feel free to post them in the comments or contact me on Twitter @chrisparsonsdev.
For additional information about IBM PowerAI, refer to the following websites: