GPFS is an intelligent storage management solution that can optimize data management and boost return on investment. It provides scalable, high performance access to file data across multiple systems using a global namespace. GPFS leverages a cluster architecture to spread data automatically across storage devices for optimal use of storage and high performance access. It allows applications and users to share access to files simultaneously while maintaining data integrity.
This document provides an overview of installing and configuring a 3 node GPFS cluster. It discusses using 8 shared LUNs across the 3 servers to simulate having disks from 2 different V7000 storage arrays for redundancy. The disks will be divided into 2 failure groups, with hdisk1-4 in one failure group representing one simulated array, and hdisk5-8 in the other failure group representing the other simulated array. This is to ensure redundancy in case of failure of an entire storage array.
IBM general parallel file system - introductionIBM Danmark
The document provides information about IBM's General Parallel File System (GPFS) 3.5 and introduces the GPFS Storage Server (GSS). It summarizes that GPFS is a scalable high-performance file management system that can scale from 1 to 8192 nodes. The GSS is a new storage solution using IBM servers and JBOD storage to provide high capacity and performance storage in a scalable building block approach. The GSS has no storage controllers and provides a single integrated storage solution built on GPFS software.
GPFS (General Parallel File System) is a high-performance clustered file system developed by IBM that can be deployed in shared disk or shared-nothing distributed parallel modes. It was created to address the growing imbalance between increasing CPU, memory, and network speeds, and the relatively slower growth of disk drive speeds. GPFS provides high scalability, availability, and advanced data management features like snapshots and replication. It is used extensively by large companies and supercomputers due to its ability to handle large volumes of data and high input/output workloads in distributed, parallel environments.
This document summarizes the benefits of SoftLayer cloud infrastructure services. It highlights testimonials from customers in the UK and Germany who have improved reliability, reduced development times, and avoided issues like scaling by using SoftLayer. Data shows SoftLayer is nearly three times faster than competitors and provides lower total cost of ownership. SoftLayer offers flexible, reliable cloud services across 28 data centers globally.
IBM Spectrum Scale is software-defined storage that provides file storage for cloud, big data, and analytics solutions. It offers data security through native encryption and secure erase, scalability via snapshots, and high performance using flash acceleration. Spectrum Scale is proven at over 3,000 customers handling large datasets for applications such as weather modeling, digital media, and healthcare. It scales to over a billion petabytes and supports file sharing in on-premises, private, and public cloud deployments.
The document discusses IBM Spectrum Scale, a software-defined storage solution from IBM. It provides:
1) A family of software-defined storage products including IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum Archive, IBM Spectrum Virtualize, IBM Spectrum Accelerate, and IBM Spectrum Scale.
2) IBM Spectrum Scale allows storing data everywhere and running applications anywhere. It provides highly scalable, high-performance storage for files, objects, and analytics workloads.
3) The document provides an overview of the IBM Spectrum Scale product and its capabilities for optimizing storage costs, improving data protection, enabling global collaboration, and ensuring data availability, integrity and security.
This document discusses IBM's Elastic Storage product. It provides an overview of Elastic Storage's key features such as extreme scalability, high performance, support for various operating systems and hardware, data lifecycle management capabilities, integration with Hadoop, and editions/pricing. It also compares Elastic Storage to alternative storage solutions and discusses how Elastic Storage can be used to build private and hybrid clouds with OpenStack.
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
This document provides an overview of installing and configuring a 3 node GPFS cluster. It discusses using 8 shared LUNs across the 3 servers to simulate having disks from 2 different V7000 storage arrays for redundancy. The disks will be divided into 2 failure groups, with hdisk1-4 in one failure group representing one simulated array, and hdisk5-8 in the other failure group representing the other simulated array. This is to ensure redundancy in case of failure of an entire storage array.
IBM general parallel file system - introductionIBM Danmark
The document provides information about IBM's General Parallel File System (GPFS) 3.5 and introduces the GPFS Storage Server (GSS). It summarizes that GPFS is a scalable high-performance file management system that can scale from 1 to 8192 nodes. The GSS is a new storage solution using IBM servers and JBOD storage to provide high capacity and performance storage in a scalable building block approach. The GSS has no storage controllers and provides a single integrated storage solution built on GPFS software.
GPFS (General Parallel File System) is a high-performance clustered file system developed by IBM that can be deployed in shared disk or shared-nothing distributed parallel modes. It was created to address the growing imbalance between increasing CPU, memory, and network speeds, and the relatively slower growth of disk drive speeds. GPFS provides high scalability, availability, and advanced data management features like snapshots and replication. It is used extensively by large companies and supercomputers due to its ability to handle large volumes of data and high input/output workloads in distributed, parallel environments.
This document summarizes the benefits of SoftLayer cloud infrastructure services. It highlights testimonials from customers in the UK and Germany who have improved reliability, reduced development times, and avoided issues like scaling by using SoftLayer. Data shows SoftLayer is nearly three times faster than competitors and provides lower total cost of ownership. SoftLayer offers flexible, reliable cloud services across 28 data centers globally.
IBM Spectrum Scale is software-defined storage that provides file storage for cloud, big data, and analytics solutions. It offers data security through native encryption and secure erase, scalability via snapshots, and high performance using flash acceleration. Spectrum Scale is proven at over 3,000 customers handling large datasets for applications such as weather modeling, digital media, and healthcare. It scales to over a billion petabytes and supports file sharing in on-premises, private, and public cloud deployments.
The document discusses IBM Spectrum Scale, a software-defined storage solution from IBM. It provides:
1) A family of software-defined storage products including IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum Archive, IBM Spectrum Virtualize, IBM Spectrum Accelerate, and IBM Spectrum Scale.
2) IBM Spectrum Scale allows storing data everywhere and running applications anywhere. It provides highly scalable, high-performance storage for files, objects, and analytics workloads.
3) The document provides an overview of the IBM Spectrum Scale product and its capabilities for optimizing storage costs, improving data protection, enabling global collaboration, and ensuring data availability, integrity and security.
This document discusses IBM's Elastic Storage product. It provides an overview of Elastic Storage's key features such as extreme scalability, high performance, support for various operating systems and hardware, data lifecycle management capabilities, integration with Hadoop, and editions/pricing. It also compares Elastic Storage to alternative storage solutions and discusses how Elastic Storage can be used to build private and hybrid clouds with OpenStack.
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
Ibm spectrum scale fundamentals workshop for americas part 4 spectrum scale_r...xKinAnx
This document provides information about replication and stretch clusters in IBM Spectrum Scale. It defines replication as synchronously copying file system data across failure groups for redundancy. While replication improves availability, it reduces performance and increases storage usage. Stretch clusters combine two or more clusters to create a single large cluster, typically using replication between sites. Replication policies and failure group configuration are important to ensure effective data duplication.
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
IBM Spectrum Scale offerings include the Spectrum Scale software that you can deploy on your own choice of hardware, Elastic Storage Server and Storwize V7000 Unified pre-built systems.
Snapshots have been a key feature of primary storage infrastructures that IT professionals have relied on for years. But storage systems have traditionally been able to support only a limited number of active snapshots. And snapshots, being pointers and not actual data, are also susceptible to a primary storage system failure. As a result, most IT professionals use snapshots sparingly for protecting data. In this webinar Storage Switzerland and Nexenta show you how primary storage can be architected so that snapshots are able to meet almost all of the data protection requirements an organization has.
Introducing IBM Spectrum Scale 4.2 and Elastic Storage Server 3.5Doug O'Flaherty
The document discusses IBM Spectrum Scale, a software-defined storage product. It provides a unified file and object storage system with integrated analytics support. New features in versions 4.2 and 3.5 include reducing costs through compression and quality of service policies, accelerating analytics with native HDFS support, and simplifying deployment with new graphical user interfaces.
Ibm spectrum scale fundamentals workshop for americas part 8 spectrumscale ba...xKinAnx
The document provides an overview of key concepts covered in a GPFS 4.1 system administration course, including backups using mmbackup, SOBAR integration, snapshots, quotas, clones, and extended attributes. The document includes examples of commands and procedures for administering these GPFS functions.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
Ibm spectrum scale fundamentals workshop for americas part 5 ess gnr-usecases...xKinAnx
This document provides an overview of Spectrum Scale 4.1 system administration. It describes the Elastic Storage Server options and components, Spectrum Scale native RAID (GNR), and tips for best practices. GNR implements sophisticated data placement and error correction algorithms using software RAID to provide high reliability and performance without additional hardware. It features auto-rebalancing, low rebuild overhead through declustering, and end-to-end data checksumming.
Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...xKinAnx
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Award winning scale-up and scale-out storage for XenGlusterFS
This webinar discusses the Gluster Virtual Storage Appliance for Xen which packages GlusterFS in a virtual machine container optimized for ease of use with little to no configuration required. The Virtual Appliance seamlessly integrates with existing virtualization environments such as Citrix Xen, allowing you to deploy virtual storage the same way you deploy virtual machines. Deploy on premise to create a private cloud using any certified Xen server hardware platforms and certified storage: JBOD, DAS, or SAN.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
Vidhyalive offers netapp training(Instructor led live online training) with real-world scenarios.Learn how to configure the technologies of the NetApp. Please visit Here for further details: http://www.vidhyalive.com/product/netapp-training/
IBM Spectrum Scale 4.2.3 provides concise security capabilities including:
1) Secure data at rest through encryption and secure deletion capabilities as well as support for NIST algorithms.
2) Secure data in transit with support for Kerberos, SSL/TLS, and configurable security levels for cluster communication.
3) Role-based access control and support for directory services like Active Directory for authentication and authorization.
4) Secure administration through SSH/TLS for commands and REST APIs, role-based access in the GUI, and limited admin nodes.
5) Additional features like file and object access control lists, firewall support, immutability mode for compliance, and audit logging.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...xKinAnx
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
Big Lab Problems Solved with Spectrum Scale: Innovations for the Coral Programinside-BigData.com
In this video from the DDN User Group at SC16, Sven Oehme Chief Research Strategist, IBM, presents "Big Lab Problems Solved with Spectrum Scale: Innovations for the Coral Program."
Watch the video presentation: http://wp.me/p3RLHQ-g52
Sign up for our insideHPC Newsletter: http://wp.me/p3RLHQ-g52
Spectrum Scale - Diversified analytic solution based on various storage servi...Wei Gong
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
Spectrum Scale Unified File and Object with WAN CachingSandeep Patil
This document provides an overview of IBM Spectrum Scale's Active File Management (AFM) capabilities and use cases. AFM uses a home-and-cache model to cache data from a home site at local clusters for low-latency access. It expands GPFS' global namespace across geographical distances and provides automated namespace management. The document discusses AFM caching basics, global sharing, use cases like content distribution and disaster recovery. It also provides details on Spectrum Scale's protocol support, unified file and object access, using AFM with object storage, and configuration.
StorNext 5 introduces new appliances built from the ground up to provide faster performance, 5x greater scalability, and optimization for modern workflows. Key features include a new modern core with improved caching, compact metadata, and management. Performance is improved across all file sizes up to 10x faster, and it scales to support up to 5 billion files. StorNext 5 provides topology-agnostic access over Fibre Channel, IP/NAS, and InfiniBand. It is optimized for Quantum's StorNext Q-Series storage and Lattus object storage. StorNext 5 also introduces native LTFS support for tape formats and is architected for long-term efficiency and non-disruptive updates.
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
IBM offers a variety of storage optimization technologies that balance performance and cost. This session covers Easy Tier, Storage Analytics, and Spectrum Scale.
Elastic storage in the cloud session 5224 final v2BradDesAulniers2
IBM Spectrum Scale (formerly Elastic Storage) provides software defined storage capabilities using standard commodity hardware. It delivers automated, policy-driven storage services through orchestration of the underlying storage infrastructure. Key features include massive scalability up to a yottabyte in size, built-in high availability, data integrity, and the ability to non-disruptively add or remove storage resources. The software provides a single global namespace, inline and offline data tiering, and integration with applications like HDFS to enable analytics on existing storage infrastructure.
Real questions for Network Appliance NS0-156 Data ONTAP Cluster-Mode Administrator Exam from pass4sure with unlimited access of 2500+ Exams for Life time. Pass your NS0-156 Network Appliance Specialist Exam with 100% Guaranteed or we will refund your Money.
1. Traditional NAS systems are good for departmental file storage but lack scalability needed for enterprise-wide use as data volumes grow exponentially.
2. Emerging scale-out NAS systems distribute storage and processing across multiple servers, allowing linear scalability to meet escalating storage demands.
3. Scale-out NAS provides the file management and access benefits of NAS with the scalability previously only available in SAN storage systems.
IBM Scale Out Network Attached Storage (SONAS) is a turnkey, modular NAS solution that provides scalability, performance, availability and functionality needed for large file-based data workloads. It uses a clustered architecture to consolidate storage into a single globally accessible namespace that can scale to the petabyte level. SONAS supports centralized management of storage resources and implements automated information lifecycle management capabilities to help organizations efficiently manage large and rapidly growing datasets.
Ibm spectrum scale fundamentals workshop for americas part 4 spectrum scale_r...xKinAnx
This document provides information about replication and stretch clusters in IBM Spectrum Scale. It defines replication as synchronously copying file system data across failure groups for redundancy. While replication improves availability, it reduces performance and increases storage usage. Stretch clusters combine two or more clusters to create a single large cluster, typically using replication between sites. Replication policies and failure group configuration are important to ensure effective data duplication.
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
IBM Spectrum Scale offerings include the Spectrum Scale software that you can deploy on your own choice of hardware, Elastic Storage Server and Storwize V7000 Unified pre-built systems.
Snapshots have been a key feature of primary storage infrastructures that IT professionals have relied on for years. But storage systems have traditionally been able to support only a limited number of active snapshots. And snapshots, being pointers and not actual data, are also susceptible to a primary storage system failure. As a result, most IT professionals use snapshots sparingly for protecting data. In this webinar Storage Switzerland and Nexenta show you how primary storage can be architected so that snapshots are able to meet almost all of the data protection requirements an organization has.
Introducing IBM Spectrum Scale 4.2 and Elastic Storage Server 3.5Doug O'Flaherty
The document discusses IBM Spectrum Scale, a software-defined storage product. It provides a unified file and object storage system with integrated analytics support. New features in versions 4.2 and 3.5 include reducing costs through compression and quality of service policies, accelerating analytics with native HDFS support, and simplifying deployment with new graphical user interfaces.
Ibm spectrum scale fundamentals workshop for americas part 8 spectrumscale ba...xKinAnx
The document provides an overview of key concepts covered in a GPFS 4.1 system administration course, including backups using mmbackup, SOBAR integration, snapshots, quotas, clones, and extended attributes. The document includes examples of commands and procedures for administering these GPFS functions.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
Ibm spectrum scale fundamentals workshop for americas part 5 ess gnr-usecases...xKinAnx
This document provides an overview of Spectrum Scale 4.1 system administration. It describes the Elastic Storage Server options and components, Spectrum Scale native RAID (GNR), and tips for best practices. GNR implements sophisticated data placement and error correction algorithms using software RAID to provide high reliability and performance without additional hardware. It features auto-rebalancing, low rebuild overhead through declustering, and end-to-end data checksumming.
Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...xKinAnx
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Award winning scale-up and scale-out storage for XenGlusterFS
This webinar discusses the Gluster Virtual Storage Appliance for Xen which packages GlusterFS in a virtual machine container optimized for ease of use with little to no configuration required. The Virtual Appliance seamlessly integrates with existing virtualization environments such as Citrix Xen, allowing you to deploy virtual storage the same way you deploy virtual machines. Deploy on premise to create a private cloud using any certified Xen server hardware platforms and certified storage: JBOD, DAS, or SAN.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
Vidhyalive offers netapp training(Instructor led live online training) with real-world scenarios.Learn how to configure the technologies of the NetApp. Please visit Here for further details: http://www.vidhyalive.com/product/netapp-training/
IBM Spectrum Scale 4.2.3 provides concise security capabilities including:
1) Secure data at rest through encryption and secure deletion capabilities as well as support for NIST algorithms.
2) Secure data in transit with support for Kerberos, SSL/TLS, and configurable security levels for cluster communication.
3) Role-based access control and support for directory services like Active Directory for authentication and authorization.
4) Secure administration through SSH/TLS for commands and REST APIs, role-based access in the GUI, and limited admin nodes.
5) Additional features like file and object access control lists, firewall support, immutability mode for compliance, and audit logging.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...xKinAnx
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
Big Lab Problems Solved with Spectrum Scale: Innovations for the Coral Programinside-BigData.com
In this video from the DDN User Group at SC16, Sven Oehme Chief Research Strategist, IBM, presents "Big Lab Problems Solved with Spectrum Scale: Innovations for the Coral Program."
Watch the video presentation: http://wp.me/p3RLHQ-g52
Sign up for our insideHPC Newsletter: http://wp.me/p3RLHQ-g52
Spectrum Scale - Diversified analytic solution based on various storage servi...Wei Gong
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
Spectrum Scale Unified File and Object with WAN CachingSandeep Patil
This document provides an overview of IBM Spectrum Scale's Active File Management (AFM) capabilities and use cases. AFM uses a home-and-cache model to cache data from a home site at local clusters for low-latency access. It expands GPFS' global namespace across geographical distances and provides automated namespace management. The document discusses AFM caching basics, global sharing, use cases like content distribution and disaster recovery. It also provides details on Spectrum Scale's protocol support, unified file and object access, using AFM with object storage, and configuration.
StorNext 5 introduces new appliances built from the ground up to provide faster performance, 5x greater scalability, and optimization for modern workflows. Key features include a new modern core with improved caching, compact metadata, and management. Performance is improved across all file sizes up to 10x faster, and it scales to support up to 5 billion files. StorNext 5 provides topology-agnostic access over Fibre Channel, IP/NAS, and InfiniBand. It is optimized for Quantum's StorNext Q-Series storage and Lattus object storage. StorNext 5 also introduces native LTFS support for tape formats and is architected for long-term efficiency and non-disruptive updates.
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
IBM offers a variety of storage optimization technologies that balance performance and cost. This session covers Easy Tier, Storage Analytics, and Spectrum Scale.
Elastic storage in the cloud session 5224 final v2BradDesAulniers2
IBM Spectrum Scale (formerly Elastic Storage) provides software defined storage capabilities using standard commodity hardware. It delivers automated, policy-driven storage services through orchestration of the underlying storage infrastructure. Key features include massive scalability up to a yottabyte in size, built-in high availability, data integrity, and the ability to non-disruptively add or remove storage resources. The software provides a single global namespace, inline and offline data tiering, and integration with applications like HDFS to enable analytics on existing storage infrastructure.
Real questions for Network Appliance NS0-156 Data ONTAP Cluster-Mode Administrator Exam from pass4sure with unlimited access of 2500+ Exams for Life time. Pass your NS0-156 Network Appliance Specialist Exam with 100% Guaranteed or we will refund your Money.
1. Traditional NAS systems are good for departmental file storage but lack scalability needed for enterprise-wide use as data volumes grow exponentially.
2. Emerging scale-out NAS systems distribute storage and processing across multiple servers, allowing linear scalability to meet escalating storage demands.
3. Scale-out NAS provides the file management and access benefits of NAS with the scalability previously only available in SAN storage systems.
IBM Scale Out Network Attached Storage (SONAS) is a turnkey, modular NAS solution that provides scalability, performance, availability and functionality needed for large file-based data workloads. It uses a clustered architecture to consolidate storage into a single globally accessible namespace that can scale to the petabyte level. SONAS supports centralized management of storage resources and implements automated information lifecycle management capabilities to help organizations efficiently manage large and rapidly growing datasets.
The Enterprise File Fabric for Google Cloud PlatformHybrid Cloud
The Enterprise File Fabric™ solution from Storage Made
Easy® enables firms to easily and quickly move large files
between storage tiers within the data center, and externally
to and from storage in GCP and other clouds with no extra
charges for metered data or bandwidth usage. No expensive
hardware is needed, nor is proprietary software required at
each site and storage service.
Maybe your business has outgrown its file server and you’re thinking of replacing it. Or perhaps your server is dated and not supporting your business like it should, so you’re considering moving to the cloud. It might be that you’re starting a new business and wondering if an in-house server is adequate or if you should adopt cloud technology from the start.
Regardless of why you’re debating an in-house server versus a cloud-based server, it’s a tough decision that will impact your business on a daily basis. We know there’s a lot to think about, and we’re here to help show why you should consolidate your file servers and move your data to the cloud.
In this webinar with Talon Storage Solutions, we covered:
-Challenges of using a physical file server
-Benefits of using a cloud file server
-Current State of the File Server market
-Reference Architecture examples for cloud file servers
-Demo: how to architect a cloud file server with highly-available storage
Learn more at https://www.softnas.com
This document provides an overview of IBM Spectrum Scale, a high-performance file system for managing large amounts of unstructured data. Some key points:
- Spectrum Scale allows concurrent access to file data across multiple servers and storage devices for high performance and scalability.
- It provides integrated tools for data availability, replication, snapshots, quotas and more to simplify management of petabytes of data and billions of files.
- New features in version 4.1 include file encryption, flash caching, network monitoring and improvements to backup/restore and data migration.
Storage for Microsoft®Windows EnfironmentsMichael Hudak
This document explores some of the common challenges Windows® architects and administrators face in managing storage for Microsoft® environments with workloads such as:
• Microsoft Exchange Server,
• Microsoft Office SharePoint® Server,
• Microsoft SQL Serv
This document discusses Red Hat Storage, an open, unified, and extensible scale-out network attached storage software solution. Red Hat Storage provides a highly flexible and scalable platform to address challenges around growing unstructured data volumes. It delivers global data accessibility, support for virtualized and cloud environments, and cost efficiency through standardization and use of commodity hardware.
Slides: Accelerating Queries on Cloud Data LakesDATAVERSITY
Using “zero-copy” hybrid bursting on remote data to solve data lake analytics capacity and performance problems.
Data scientists want answers on demand. But in today’s enterprise architectures, the reality is that most data remains on-prem, despite the promise of cloud-based analytics. Moving all that data to the cloud has typically not been possible for many reasons including cost, latency, and technical difficulty. So, what if there was a technology that would connect these on-prem environments to any major cloud platform, enabling high-powered computing without the need to move massive amounts of data?
Join us for this webinar where Alex Ma of Alluxio, an open-source data orchestration platform, will discuss how a data orchestration approach offers a solution for connecting traditional on-prem data centers and cloud data lakes with other clouds and data centers. With Alluxio’s “zero-copy” burst solution, companies can bridge remote data centers and data lakes with computing frameworks in other locations, enabling them to offload, compute, and leverage the flexibility, scalability, and power of the cloud for their remote data.
This document discusses Hitachi's Unified Storage (HUS) and Hitachi NAS Platform (HNAS) solutions for file storage. It summarizes that these solutions provide high performance, scalability, and efficiency to help organizations consolidate more file data using less storage. This allows organizations to reduce costs through features like deduplication while improving productivity. The solutions include a range of models and flexibility to address various workload sizes and requirements.
The Object Evolution - EMC Object-Based Storage for Active Archiving and Appl...EMC
Object-based storage provides benefits over traditional file systems for active archiving and application development in the cloud. It has a flat, universal namespace that allows global access to stored content from anywhere. Policies can control data protection, retention, and movement between storage tiers. Key uses of object storage in the cloud are active archives for instant access from any device, and web application development due to its scalability and ability to distribute data globally.
The Swiss National Supercomputing Center (CSCS) needed a centralized storage solution to handle rapidly doubling data volumes from high performance computing simulations. CSCS implemented a solution using IBM General Parallel File System (GPFS) software on IBM hardware, including System x servers and System Storage arrays. GPFS provided high scalability, compatibility across operating systems, parallel access, and failover. The solution supports massively parallel read/write operations and provides extremely high availability and scalability to meet CSCS's growing storage needs.
There has been a lot of interest and buzz recently around hyperconvergence. It's the biggest IT shift since the rise of server virtualization. As with any budding space there is some confusion. This paper looks at the top 10 benefits of hyperconvergence and and also answers some frequently asked questions.
In computing, a distributed file system (DFS) or network file system is any file system that allows access to files from multiple hosts sharing via a computer network. This makes it possible for multiple users on multiple machines to share files and storage resources.
Achieving Separation of Compute and Storage in a Cloud WorldAlluxio, Inc.
Alluxio Tech Talk
Feb 12, 2019
Speaker:
Dipti Borkar, Alluxio
The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads – one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new problems – how do you co-locate data with compute, how do you unify data across multiple remote clouds, how do you keep storage and I/O service costs down and many more.
Enter Alluxio, a virtual unified file system, which sits between compute and storage that allows you to realize the benefits of a hybrid cloud architecture with the same performance and lower costs.
In this webinar, we will discuss:
- Why leading enterprises are adopting hybrid cloud architectures with compute and storage disaggregated
- The new challenges that this new paradigm introduces
- An introduction to Alluxio and the unified data solution it provides for hybrid environments
The document discusses methods for accelerating Perforce workspace syncs and reducing network storage usage as digital assets grow rapidly. It introduces IC Manage Views, which uses dynamic virtual workspaces and local caching to achieve near-instant workspace syncs and reduce network storage by 4x. Benchmark results show IC Manage Views delivers files 2x faster than traditional methods through intelligent file redirection that separates reads from writes. IC Manage Views is compatible with existing storage technologies and scales as users and data grow.
Continua il ciclo di webinar in collaborazione con Veritas Technologies.
In questo secondo appuntamento abbiamo visto le soluzioni Veritas di Software Defined Storage.
Il settore IT è oggi una delle aree aziendali maggiormente impattate dal fenomeno dell’aumento esponenziale dei dati. Conseguentemente, gli IT Manager devono far fronte all'aumento dei costi e della complessità per l’implementazione di soluzioni di Storage atte a contenere la crescita del volume dei dati.
Al tempo stesso essi devono operare delle scelte orientate a soluzioni in grado di soddisfare i livelli prestazionali sempre più elevati richiesti dalle nuove applicazioni di business mantenendo altresì la funzionalità di quelle legacy.
L’implementazione di hardware NAS ad alte prestazioni o l’adozione di soluzioni storage di tipo diversificato non rappresentano oggi la soluzione ideale dal punto di vista degli impatti economici e di gestione. Sono infatti disponibili nuove tecnologie, sviluppate proprio in risposta all'esigenza di efficientamento e al contenimento dei costi, che permettono di realizzare infrastrutture che consentono di massimizzare l’utilizzo delle soluzioni storage già presenti nel Data Center e l’adozione si soluzioni Object Storage.
Allo scopo Veritas presenta la propria linea di soluzioni Software Defined Storage.
Cloud Storage Adoption, Practice, and DeploymentGlusterFS
In this webinar, leading storage analyst firm Storage Strategies NOW, will discuss the findings from their comprehensive outlook report on the state of the cloud storage market and storage services that are layered on top of it. We will review: the definition of cloud storage, requirements, deployment, the market and its trends, API’s, cloud computing initiatives, best practices and infrastructure providers. Tom Trainer, Director of Product Marketing at Gluster, will provide an overview of Gluster’s storage products along with case studies demonstrating the strategic deployment of Gluster storage in both the public and private cloud.
SAN File System provides a simplified way to manage files and data across multiple servers connected through a SAN. It creates a single global namespace and allows files to be accessed from different platforms. SAN File System also implements policy-based automation to better match storage costs with data value through tiered storage management. This simplifies administration and improves storage utilization and data sharing across heterogeneous environments.
This IBM Redpaper provides a brief overview of OpenStack and a basic familiarity of its usage with the IBM XIV Storage System Gen3. The illustration scenario that is presented uses the OpenStack Folsom release implementation IaaS with Ubuntu Linux servers and the IBM Storage Driver for OpenStack. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn how all flash needs end to end Storage efficiency. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn about vSphere Storage API for Array Integration on the IBM Storwize family. IBM Storwize V7000 Unified combines the block storage capabilities of Storwize V7000 with file storage capabilities into a single system for greater ease of management and efficiency. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn about IBM FlashSystem 840 and its complete product specification in this Redbook. FlashSystem 840 provides scalable performance for the most demanding enterprise class applications. IBM FlashSystem 840 accelerates response times with IBM MicroLatency to enable faster decision making. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about the IBM System x3250 M5,.The x3250 M5 offers the following energy-efficiency features to save energy, reduce operational costs, increase energy availability, and contribute to a green environment, energy-efficient planar components help lower operational costs. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210746104/IBM-System-x3250-M5
This Redbook talks about the product specification of IBM NeXtScale nx360 M4. The NeXtScale nx360 M4 server provides a dense, flexible solution with a low total cost of ownership (TCO). The half-wide, dual-socket NeXtScale nx360 M4 server is designed for data centers that require high performance but are constrained by floor space. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210745680/IBM-NeXtScale-nx360-M4
The IBM System x3650 M4 HD is a (1) 2-socket 2U rack-optimized server that supports up to 32 internal drives and features an innovative design for optimal performance, uptime, and dense storage. It offers (2) excellent reliability, availability, and serviceability for improved business environments. The server is (3) designed for easy deployment, integration, service, and management.
Here are the product specification for IBM System x3300 M4. This product can be managed remotely.The x3300 M4 server contains IBM IMM2, which provides advanced service-processor control, monitoring, and an alerting function. The IMM2 lights LEDs to help you diagnose the problem, records the error in the event log, and alerts you to the problem. For more information on System x, visit http://ibm.co/Q7m3iQ.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about IBM System x iDataPlex dx360 M4. IBM System x iDataPlex is an innovative data center solution that maximizes performance and optimizes energy and space efficiency. The iDataPlex solution provides customers with outstanding energy and cooling efficiency, multi-rack level manageability, complete flexibility in configuration, and minimal deployment effort. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210744055/IBM-System-x-iDataPlex-dx360-M4
The IBM System x3500 M4 server provides powerful and scalable performance for business applications in an energy efficient tower or rack design. It features the latest Intel Xeon E5-2600 v2 or E5-2600 processors with up to 24 cores, 768GB RAM, 32 hard drives, and 8 PCIe slots. Comprehensive systems management tools and redundant components help ensure high availability, while its small footprint and 80 Plus Platinum power supplies reduce data center costs.
Learn about system specification for IBM System x3550 M4. The x3550 M4 offers numerous features to boost performance, improve scalability, and reduce costs. Improves productivity by offering superior system performance with up to 12-core processors, up to 30 MB of L3 cache, and up to two 8 GT/s QPI interconnect links. For more information on System x, visit http://ibm.co/Q7m3iQ.
Learn about IBM System x3650 M4. The x3650 M4 is an outstanding 2U two-socket business-critical server, offering improved performance and pay-as-you grow flexibility along with new features that improve server management capability. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210741926/IBM-System-x3650-M4
Learn about the product specification of IBM System x3500 M3. System x3500 M3 has an energy-efficient design which works in conjunction with the IMM to govern fan rotation based on the readings that it delivers. This saves money under normal conditions because the fans do not have to spin at high speed. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210741626/IBM-System-x3500-M3
Learn about IBM System x3400 M3. The x3400 M3 offers numerous features to boost performance and reduce costs, x3400 M3 has the ability to grow with your application requirements with these features. Powerful systems management features simplify local and remote management of the x3400 M3. For more information on System x, visit http://ibm.co/Q7m3iQ.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about IBM System 3250 M3 which is a single-socket server that offers new levels of performance and flexibility
to help you respond quickly to changing business demands. Cost-effective and compact, it is well suited to small to mid-sized businesses, as well as large enterprises. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210740347/IBM-System-x3250-M3
Learn about IBM System x3200 M3 and its specifications. The System x3200 M3 features easy installation and management with a rich set of options for hard disk drives and memory. The efficient design helps to save energy and provide a better work environment with less heat and noise. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210739508/IBM-System-x3200-M3
Learn about the configuration of IBM PowerVC. IBM PowerVC is built on OpenStack that controls large pools of server, storage, and networking resources throughout a data center. IBM Power Virtualization Center provides security services that support a secure environment. Installation requires just 20 minutes to get a virtual machine up and running. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about Ibm POWER7 Virtualization Performance. PowerVM Lx86 is a cross-platform virtualization solution that enables the running of a wide range of x86 Linux applications on Power Systems platforms within a Linux on Power partition without modifications or recompilation of the workloads. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
http://www.scribd.com/doc/210734237/A-Comparison-of-PowerVM-and-Vmware-Virtualization-Performance
This reference architecture document describes deploying the VMware vCloud Enterprise Suite on the IBM PureFlex System hardware platform. Key points:
- The vCloud Suite software provides components for managing and delivering cloud services, while the IBM PureFlex System provides an integrated hardware platform in a single chassis.
- The reference architecture focuses on installing the vCloud Suite management components as virtual machines on an ESXi host to manage consumer resources.
- The IBM PureFlex System provides servers, networking, and storage in a single chassis that can then be easily scaled out. This standardized deployment accelerates provisioning of cloud infrastructure.
- Deployment considerations cover systems management using IBM Flex System Manager, server, networking, storage configurations
Learn how x6: The sixth generation of EXA Technology is fast, agile and Resilient for Emerging Workloads from Alex Yost. Vice President, IBM PureSystems and System x
IBM Systems and Technology Group. x6 drives cloud and big data for enterprises by achieving insight faster thereby outperforming competitors. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210715795/X6-The-sixth-generation-of-EXA-Technology
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Driving Business Innovation: Latest Generative AI Advancements & Success Story
GPFS Solution Brief
1. Systems and Technology Group
Solution Brief
Intelligent storage
management with IBM
General Parallel File System
Optimize storage management and boost your return
on investment
The explosive growth of data, transactions and digitally aware devices is
straining IT infrastructure and operations, while storage budgets shrink
Highlights :
and user expectations continue to multiply. As infrastructures support more
• Increase performance and scalability users and become overburdened with storage, availability of data at the
of your IBM AIX and Linux and
file level may degrade—and data management becomes more complicated.
Windows™ systems
• Maintain high data availability with virtually In the past, organizations have addressed data management challenges
disruption-free expansion and migration
by clustering servers or using network attached storage. But clustered
• Improve efficiency through enterprisewide servers can be limited in scalability and often require redundant copies
information sharing of data. Traditional network attached storage solutions are restricted in
performance, security and scalability. A single file server cannot scale, and
• Ease data management and enhance
administrative control using information even a roomful of file servers is not flexible enough to provide the dynamic,
lifecycle management toolset 24x7 data access required of a data-intensive computing environment.
To overcome these issues, you need to look at a new, more effective
• Simplify file system administration with
extensible management and monitoring approach to managing data.
infrastructure
The IBM General Parallel File System (IBM GPFS™) can help you
• Gain greater return on investment and
grow affordably with better hardware and move beyond simply adding storage to optimizing data management.
infrastructure utilization GPFS is a high-performance, shared-disk file management solution
that can provide faster, more reliable access to a common set of file
data. Enabling a view of distributed data with a single global namespace
across platforms, GPFS is also designed to provide:
• Online storage management
• Scalable data access through tightly integrated information lifecycle
tools capable of managing petabytes of data and billions of files
• Centralized administration
• Shared access to file systems from remote GPFS clusters
• Improved storage use
2. Systems and Technology Group
Solution Brief
Handling the explosive growth of digital Providing greater data access to optimize
information more efficiently performance for demanding applications
GPFS provides several essential services to allow you to GPFS is designed for high-performance parallel workloads.
effectively manage growing quantities of unstructured data. Data and metadata flow from all the nodes to all the disks in
GPFS leverages its cluster architecture to provide quicker parallel under control of a distributed lock manager. It has a
access to your file data. File data is automatically spread very flexible cluster architecture which enables the design of
across multiple storage devices, providing optimal use of a data storage solution that not only meets current needs but
your available storage to deliver high performance. can also quickly be adapted to new requirements or technologies.
GPFS configurations include direct-attached storage, network
GPFS differs significantly from Network File System (NFS). block input and output (I/O) or a combination of the two, and
With GPFS, there is no single-server bottleneck or protocol multisite operations with synchronous data mirroring.
overhead for data transfer. GPFS takes file management beyond a
single system by providing scalable access from multiple systems Applications requiring the highest per node throughput often
to a global namespace. GPFS interacts with applications like a deploy the direct-attached model, where disks are physically
local file system but is designed to deliver higher performance, attached to all nodes in the cluster that accesses the file system.
scalability and fault tolerance by allowing access to the data The direct-attached model requires an operating system
from multiple systems directly and in parallel. device interface to the storage, for example, using a Fibre
Channel SAN or InfiniBand connection.
GPFS allows multiple applications or users to share access
to a single file simultaneously while maintaining file-data To optimize the cost of your storage infrastructure, deploy
integrity. For example, multiple animators or editors can a large number of systems or seamlessly integrate multiple
work on different parts of a single video file from multiple platforms and interconnect storage technologies, the network
workstations at the same time. This capability helps you block I/O (also called network shared disk [NSD]) model can
reduce the amount of storage and management overhead be used. Network block I/O is a software layer that transparently
required to maintain several copies of the source file. GPFS forwards block I/O requests from a GPFS client application
uses fine-grained locking based on a sophisticated scalable node to an NSD server node to perform the disk I/O operation,
token (lock) management system to help ensure data consistency and then passes the data back to the client. Using a network
during concurrent access and prevent multiple applications or block I/O configuration can be more cost effective than a
users from updating the same portion of a file at the same time. full-access SAN. And you can use this type of configuration
to tie together systems across a wide area network (WAN).
You can optimize the configuration of clustered systems to
attached storage for your specific mix of workloads. You can
also develop a data workflow within one location or across
the WAN to help save time and the cost of managing file data.
To exploit disk parallelism when reading a large file from a
single-threaded application whenever it can recognize a
pattern, GPFS intelligently prefetches data into its buffer
pool, issuing I/O requests in parallel to as many disks as
Expanding beyond a storage area network (SAN), a single necessary to achieve the peak bandwidth of the underlying
GPFS file system can be accessed by nodes using a TCP/IP storage-hardware infrastructure. GPFS recognizes multiple
or InfiniBand connection. Using this block-based network I/O patterns, including sequential, reverse sequential and
data access, GPFS can outperform network-based sharing various forms of striped access patterns. In addition, for
technologies like NFS—and even local file systems such as EXT3 high-bandwidth environments like digital media, GPFS
journaling file system for Linux® or Journaled File System. can read or write large blocks of data in a single operation,
3. Systems and Technology Group
Solution Brief
minimizing the overhead of I/O operations. GPFS has been within the same directory. For example, GPFS can be configured
proven in applications with aggregate data and bandwidth to use low latency disks for index operations and high capacity
requirements that exceed the capacity of typical shared file systems. disks for data operations of a relational database. You can make
these configurations even if all database files are created in the
Configuring file systems for high same directory. In addition, storage pools can simplify storage
availability and reliability management by allowing you to transparently retask older
For optimal reliability, GPFS can be configured to eliminate storage systems, moving them from a tier 1 role to tier 2.
single points of failure. The file system can be configured to remain
available automatically in the event of a disk or server failure. As files are created, policy-driven automation places file data
in the appropriate storage pool based on business rules you
A GPFS file is designed to transparently fail over token (lock) define, regardless of where the file is placed in the directory
operations and other GPFS cluster services, which can be distributed structure. Once files exist, the policy engine can move files
throughout the entire cluster to eliminate the need for dedicated among storage pools or tape or delete them after a specified
metadata servers. GPFS can be configured to automatically time period, or provide reports on the contents of the file system.
recover from node, storage and other infrastructure failures.
The high-performance policy engine leverages the parallel
GPFS provides this functionality by supporting data replication metadata infrastructure of GPFS to provide highly scalable
to increase availability in the event of a storage media failure; policy processing, which allows you to actively manage billions
multiple paths to the data in the event of a communications or of files across multiple storage tiers.
server failure; and file system activity logging, enabling consistent
fast recovery after system failures. In addition, GPFS supports
snapshots to provide a space-efficient image of a file system at
a specified time, which allows online backup and can help protect
against user error.
GPFS offers time-tested reliability and has been installed on
thousands of nodes across industries, from weather research to
broadcasting, retail, financial industry analytics and web service
providers. GPFS also is the basis of many cloud storage offerings.
Simplifying data management with
advanced tools Easing file system administration
GPFS provides an information lifecycle management (ILM) GPFS provides a common management interface that simplifies
toolset that helps simplify data management by giving you administration even in very large environments. The administration
more control over data placement. The toolset includes model is easy to use and consistent with standard IBM AIX®
storage pooling and a high-performance, scalable, rule-based and Linux® file system administration. Cluster operations
policy engine. can be managed from any node in the GPFS cluster. These
commands support cluster management and other standard
Storage pools enable you to transparently manage multiple tiers of file system administration functions including user quotas,
storage based on performance or reliability. You can use storage snapshots and storage management.
pools to transparently provide the appropriate type of storage to
multiple applications or different portions of a single application The ability to run multiple versions of GPFS in the same cluster
means you can do rolling upgrades of operating systems and
GPFS versions. Rolling upgrades can provide a near-zero