Dino Quintero's Redbooks Blog
5 puntos que usted debe saber acerca de IBM Power Systems
1. Power Systems estan disenados para Big Data con innovaciones enfocadas a ayudar y optimizar analitica.
2. Power Systems ayuda a economizar sus presupuestos con soluciones para cloud y provee la habilidad de escalar y aumentar proporcionalmente la capacidad con seguridad como parte fundamental de la solucion.
3. Power Systems, como parte de una plataforma abierta, esta en el corazon de la fundacion OpenPower.
4. Power Systems estan revolucionando el desarrollo y distribucion de nueva tecnologia.
5. IBM Power Systems anuncia el procesador POWER8 y su arquitectura destinada para ayudar a manejar demandas de datos en los clouds.
Para informacion y punto de referencia acerca de IBM Power Systems, vea la siquiente pagina de Internet:
5 things to know about High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems
DinoQuintero 2700050KT5 Tags:  hana availability scale ibm high systems spectrum linux power sap powervm storage disaster suse recovery 3,811 Views
SAP HANA is the SAP database platform for multiple SAP solutions. In changing direction to former classic SAP solutions, HANA is the processing core of it all. Operations that have formerly performed at application layers have moved into the database layer and are now performed by the HANA engines. SAP HANA works by loading all the data into memory, which is why it is called an in-memory database. This is the most key factor that allows SAP HANA to run analytical reports in seconds as opposed to minutes, or in minutes as opposed to hours, allowing real-time analysis of analytical data.
Here are 5 things to know about SAP HANA on IBM Power Systems:
1. SAP allows flexibility in a TDI implementation of HANA on IBM Power Systems.
The SAP HANA TDI architecture helps you to build an environment using your existing hardware such as servers, storage, SAN and network switches. There is a set of configuration and settings that work best for a HANA on a Power Systems implementation. This configuration and these settings are seen by many customers as the ones that bring the most performance and stability, less management and maintenance effort, and better understanding of the environment. By supporting TDI in the deployment of SAP HANA, Power Systems give organizations choice over the technology they use, compared to the rigidly defined hardware appliances used in many competing SAP HANA infrastructures.
2. IBM Power Systems PowerVM virtualization for SAP HANA.
IBM PowerVM virtualization is fully supported by SAP, allowing customers to deploy SAP HANA in a virtual environment that supports both dedicated and shared processor resources, running both production and non-production workloads in a single server. IBM Power Systems provides flexibility to meet the individual needs of organizations deploying SAP HANA. One aspect of this flexibility is that a robust virtualization is supported, ready for use, and helps consolidating multiple SAP HANA virtual machines on a single Power Systems server. Virtualization with PowerVM also provides ability to handle the varying utilization patterns that are typical in SAP HANA workloads. Dynamic capacity sizing allows for fast, granular reallocation of compute resources among SAP HANA virtual machines. This approach to load balancing and tailoring capacity to the workload enhances agility compared to competing processor architectures that require capacity to be allocated in larger chunks.
3. High availability (HA) and disaster recovery (DR) for SAP HANA.
The costs of downtime have increased over time, so companies are paying more attention to high availability (HA) today than in the past. Also, the costs for HA solutions have decreased considerably in a way that makes much more sense to invest in protecting business continuity than to undertake the downtime costs. From a business continuity perspective, you can protect your systems by creating a local HA plan to ensure the minimum Recovery Time Objective (RTO) possible, and protect your business from a complete site failure (DR). There are options available for high availability and disaster recovery: SAP HANA Host Auto-Failover (Scale-Out with Standby), SAP HANA System Replication + SuseHA, SAP HANA Storage Replication, and SAP HANA System Replication.
4. SAP HANA Systems Replication (HSR).
SAP HANA Systems Replication is a contingency solution that is used to duplicate your HANA database. This means that it uses a completely different system (that is, another operating system instance), a distinct set of disks, and a different database instance than the primary ones. In summary, it is based on having two totally independent HANA environments host the same data. The data is created on the primary system and replicated to the secondary system over the network through TCP/IP. If a failure of the primary system occurs, you can choose to have the secondary one take-over.
5. IBM service and productivity tools for Linux on POWER.
IBM Power Systems is known for its prominent level of reliability, availability, and serviceability (RAS). The difference between an ordinary Linux for x86 image and a Linux on IBM Power image is that the latter has a layer of additional added value software to enable Linux to take advantage of Power System hardware and virtualization features, such as dynamic logical partition (DLPAR) operations, resource monitoring and control (RMC) communication with the Hardware Management Console (HMC), and other functions.
SAP notes change constantly. Validate all notes before you start implementing your HANA environment because SAP guidelines and statements change frequently. For SAP notes, refer to the following website (SAP ONE Support Launchpad): http://launchpad.support.sap.com/
For more information about SAP HANA on IBM Power Systems, refer to the following:
IBM Power Systems Home Page
SUSE Linux Enterprise High Availability Extension 12 SP2 Documentation
Automate your SAP HANA System Replication Failover
Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems Redbooks publication
Rodrigo Ceron Ferreira de Castro
DinoQuintero 2700050KT5 Tags:  cognitive ibm watson ai systems linux power solutions computing 1,112 Views
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.
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
DinoQuintero 2700050KT5 Tags:  machine cognitive powerai systems learning power deep linux spectrum storage openpower ibm scale 2,243 Views
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:
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
DinoQuintero 2700050KT5 Tags:  systems availability sap aix ibm power linux hana high 1 Comment 1,549 Views
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.
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:
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:
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
Dino E. Quintero
5 things to know about IBM Spectrum Scale:
For more information, refer to the following website:
5 Things to Know About Open Platform for Database-as-a-Service (DBaaS) on IBM Power Systems
Traditional enterprise computing, with its reliance on conventional databases designed for structured data, is unable to cope with this deluge. That’s why organizations everywhere are modernizing their data platforms, using all available technology, to derive patterns and insights from both structured and unstructured data. Next-generation applications based on open source technology, and especially open source databases, are critical for this modernization.
Open Platform for Database-as-a-Service (DBaaS) on IBM Power Systems provides a turnkey solution that enables application developers to provision their choice of the most popular open source databases in minutes. The solution integrates OpenPOWER servers, storage, and open source software and services components that are required to automate the deployment of popular open source databases on demand.
Here are 5 things to know about Open Platform for DBaaS on IBM Power Systems:
1. Faster time to value and improved productivity.
Open Platform for DBaaS on IBM Power Systems has unique advantages over traditional database deployment models. One, it improves speed and agility with on-demand and agile provisioning of databases, a requirement for today’s cloud workloads. Two, it significantly reduces licensing and infrastructure costs. Three, it eliminates database sprawl generated by the hundreds or thousands of underutilized or unutilized databases that have accumulated over the years in organizations.
2. Superior performance and price-performance.
IBM Power Systems solutions deliver remarkable price-performance advantage over x86-based solutions for the leading open source databases, including MongoDB and EDB Postgres. This advantage not only reduces server and database sprawl, but also frees up precious resources that can be allocated to higher value projects critical to drive innovation for your business.
3. Fully open with no vendor lock-in.
Open Platform for DBaaS on IBM Power Systems is an open-source-based platform that integrates servers, storage, operating systems, middleware and databases, disrupting conventional x86-based solutions with substantial ease-of-use and administration benefits, and price-performance advantages. The solution combines three elements: open source and ISV databases; OpenStack and Ubuntu Linux distribution and support; IBM OpenPOWER System LC servers, networking, storage, services and support.
4. Flexible with choice of most popular open source databases, on demand.
The solution supports a self-service portal for end users who can deploy in minutes their choice of the most popular open source community-based databases, including MongoDB, PostgreSQL, MySQL, MariaDB, and Redis. In addition, clients who want to build and deploy their own custom databases to the database image library can take advantage of the database image building tool. An open source, cloud-oriented operations manager will provide dashboards and tools to visualize, control, monitor, and analyze the physical and virtual resources comprising the Open Platform for DBaaS on IBM Power Systems.
5. Enterprise-grade foundation for compliance.
The IBM OpenPOWER System LC server portfolio was codeveloped by IBM and OpenPOWER Foundation members to help deliver better data-centric innovation around IBM Power architecture. OpenPOWER System LC servers integrate virtually seamlessly into data centers and clouds to scale data-intensive workflows with maximum performance and minimum cost and server footprint. This integration frees up organizations to focus on solving critical business challenges and accelerating innovation.
The exponential growth of data demands not only the fastest throughput but also smarter networks. Mellanox intelligent interconnect solutions incorporate advanced acceleration engines that perform sophisticated processing algorithms on the data as it moves through the network. Intelligent network solutions greatly improve the performance and total infrastructure efficiency of data-intensive applications.
As part of the Open Platform for DBaaS on IBM Power Systems, IBM delivers Ansible scripts to support OpenStack Trove-based DBaaS installation and configuration on Power Systems servers, storage and networking. Pre-tested reference architectures are provided in four configurations that are designed for varying levels of client needs: starter, entry, enterprise and performance configurations. Each configuration includes appropriately sized compute, storage and networking hardware, and IBM Lab services and tooling, for a complete solution deployment. IBM also provides multiple options and configurations to extend the open source DBaaS platform across private or public clouds.
To learn more about Open Platform for DBaaS on IBM Power Systems, refer to the following website:
DinoQuintero 2700050KT5 Tags:  elastic systems linux power8 ibm power spectrum (ess) storage scale server 8,055 Views
5 Things to Know about the IBM Elastic Storage Server (ESS):
For more information, refer to the following website:
DinoQuintero 2700050KT5 Tags:  systems gpfs bluegene hpc system power technical x ibm computing 5,297 Views
5 Things You Should Know About IBM HPC Central
1. Delivers information on how to start to learn about IBM High Performance Computing (HPC)
2. Contains technical documentation on IBM High Performance Computing (HPC) hardware and software solutions
3. Provides information on best practices in particular on Cluster administration best practices
4. Direct channel to provide feedback, and receive feedback on technical computing topics
5. Focuses on IBM High Performance Computing (HPC) announcements, how-to details, and special information for anyone involved with IBM Technical Computing
The High Performance Computing (HPC) Central is a joint IBM/Customer accessible and editable forum to provide improved HPC technical communications. To access this site, refer to the following website:
5 Things you should know about IBM Power Systems
1. Power Systems are designed for Big Data with innovation that optimizes analytics performance.
2. Power Systems help provide cloud economics and the ability to scale out or scale up with security built into the foundation.
3. Power Systems, as an open server platform, is at the heart of the OpenPOWER Foundation.
4. Power Systems are revolutionizing the development and delivery of new technology.
5. IBM Power Systems introduces the IBM POWER8 processor and architecture to help handle bigger data demands in the cloud.
For additional information about IBM Power Systems, refer to the following website:
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5 Things You Should Know about IBM Watson:
For more information, refer to the following website: http://ibm.co/1VCgjCa
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5 Things you should know about the IBM Data Engine for Analytics Solution - Power Systems Edition
For more information, refer to the following website:
5 Things You Should Know about the IBM PowerHA SystemMirror for AIX Solution
For more information, refer to the IBM the IBM PowerHA SystemMirror for AIX website at: http://www-03.ibm.com/systems/power/software/availability/aix/index.html.
5 Things you should know about the IBM Software Defined Environment (SDE)
1. SDE helps enable your organization to deliver IT services in the most efficient and productive way possible.
2. SDE combines compute, network, management, and storage resources and optimizes these resources efficiently.
3. SDE is the next generation of agile and optimized information technology.
4. SDE embraces open industry standards to foster freedom of choice and to help protect investments.
5. SDE leverages IBM Platform Resource Scheduler derived from IBM Platform Computing for dynamic resource management.
For additional information about the IBM Software Defined Environment, and to learn more about it, refer to the following website:
7 Things You Should Know about IBM PowerHA SystemMirror v7.2 for AIX