Ben Golub gives insight to the latest storage trends including the EMC's latest acquisition of Isilon.
http://blog.gluster.com/2010/11/storage-is-sexy-again/
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
Webinar Sept 22: Gluster Partners with Redapt to Deliver Scale-Out NAS StorageGlusterFS
Gluster has partnered with Redapt, Inc., an innovative data center architecture and infrastructure solutions provider, to integrate GlusterFS with hardware providing customers with highly-scalable NAS storage technology for on-premise, virtual and cloud environments. Gluster's storage technology enables Redapt to offer a comprehensive, cost-effective storage solution delivering the scalability, performance and reliability that companies need to effectively run their data centers.
This webinar will provide an overview of the partnership, benefits of the joint solution, and include use cases of how customers today are deploying the joint solution. .
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.
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.
This document describes Petascale Cloud Filesystem, a distributed file system designed by Gluster for large-scale cloud storage. It discusses Gluster's architecture advantages like being software-only, fully distributed with no single point of failure, and able to elastically scale out storage. The document also provides examples of Gluster deployments at organizations like Partners Healthcare, Pandora, and Cincinnati Bell Technology Solutions to provide centralized storage services and support private and public cloud environments.
Introduction to IBM Spectrum Scale and Its Use in Life ScienceSandeep Patil
IBM Spectrum Scale is a scalable file system that can be used to support life science research. It provides high scalability, high availability, and a software read cache called Local Read Only Cache (LROC) that uses SSDs to improve performance. The University of Basel uses Spectrum Scale in their scientific computing and storage infrastructure to support various research areas including bioinformatics, structural biology, and hosting reference services. It provides features such as cluster file systems, data migration, hierarchical storage management, encryption, and disaster recovery between two sites using asynchronous file migration.
Inter connect2016 yss1841-cloud-storage-options-v4Tony Pearson
This session will cover private and public cloud storage options, including flash, disk and tape, to address the different types of cloud storage requirements. It will also explain the use of Active File Management for local space management and global access to files, and support for file-and-sync.
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.
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
Webinar Sept 22: Gluster Partners with Redapt to Deliver Scale-Out NAS StorageGlusterFS
Gluster has partnered with Redapt, Inc., an innovative data center architecture and infrastructure solutions provider, to integrate GlusterFS with hardware providing customers with highly-scalable NAS storage technology for on-premise, virtual and cloud environments. Gluster's storage technology enables Redapt to offer a comprehensive, cost-effective storage solution delivering the scalability, performance and reliability that companies need to effectively run their data centers.
This webinar will provide an overview of the partnership, benefits of the joint solution, and include use cases of how customers today are deploying the joint solution. .
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.
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.
This document describes Petascale Cloud Filesystem, a distributed file system designed by Gluster for large-scale cloud storage. It discusses Gluster's architecture advantages like being software-only, fully distributed with no single point of failure, and able to elastically scale out storage. The document also provides examples of Gluster deployments at organizations like Partners Healthcare, Pandora, and Cincinnati Bell Technology Solutions to provide centralized storage services and support private and public cloud environments.
Introduction to IBM Spectrum Scale and Its Use in Life ScienceSandeep Patil
IBM Spectrum Scale is a scalable file system that can be used to support life science research. It provides high scalability, high availability, and a software read cache called Local Read Only Cache (LROC) that uses SSDs to improve performance. The University of Basel uses Spectrum Scale in their scientific computing and storage infrastructure to support various research areas including bioinformatics, structural biology, and hosting reference services. It provides features such as cluster file systems, data migration, hierarchical storage management, encryption, and disaster recovery between two sites using asynchronous file migration.
Inter connect2016 yss1841-cloud-storage-options-v4Tony Pearson
This session will cover private and public cloud storage options, including flash, disk and tape, to address the different types of cloud storage requirements. It will also explain the use of Active File Management for local space management and global access to files, and support for file-and-sync.
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.
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.
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.
An SDS (software-defined storage) refers to a software controller that is used for managing and virtualizing a physical storage for the purpose of controlling the way in which data is stored.
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.
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.
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.
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 1 components archi...xKinAnx
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
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.
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.
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
IBM is a platinum sponsor of OpenStack, and is the #1 ranked vendor of Software Defined Storage. This session explains how its Spectrum Storage family of products support Glance, Cinder, Manila, Swift and Keystone interfaces of OpenStack.
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.
Gluster Webinar May 25: Whats New in GlusterFS 3.2GlusterFS
This webinar provides an overview of the latest features introduced in GlusterFS 3.2 including Asynchronous Geo-Replication, Usage Quotas, and Advanced Monitoring Tools.
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.
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.
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.
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.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
Windows Server 2012 R2 Software-Defined StorageAidan Finn
In this presentation I taught attendees how to build a Scale-Out File Server (SOFS) using Windows Server 2012 R2, JBODs, Storage Spaces, Failover Clustering, and SMB 3.0 Networking, suitable for storing application data such as Hyper-V and SQL Server.
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.
Webinar: 4 Ways to Improve NetApp Storage Performance Without Replacing ItStorage Switzerland
New on demand webinar with Storage Switzerland Lead Analyst George Crump and Avere Systems Director Chris Bowen. In this webinar, George and Chris discuss why NAS storage performance is so critical, how to balance storage performance and storage capacity, and four ways to improve storage performance without replacing your existing NAS system.
Join us for our on demand webinar where Storage Switzerland and Tegile Systems discuss how the acquisition and operating costs of flash make it feasible to build a private cloud that is responsive to the needs of the business and cost effective.
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.
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.
An SDS (software-defined storage) refers to a software controller that is used for managing and virtualizing a physical storage for the purpose of controlling the way in which data is stored.
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.
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.
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.
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 1 components archi...xKinAnx
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
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.
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.
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
IBM is a platinum sponsor of OpenStack, and is the #1 ranked vendor of Software Defined Storage. This session explains how its Spectrum Storage family of products support Glance, Cinder, Manila, Swift and Keystone interfaces of OpenStack.
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.
Gluster Webinar May 25: Whats New in GlusterFS 3.2GlusterFS
This webinar provides an overview of the latest features introduced in GlusterFS 3.2 including Asynchronous Geo-Replication, Usage Quotas, and Advanced Monitoring Tools.
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.
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.
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.
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.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
Windows Server 2012 R2 Software-Defined StorageAidan Finn
In this presentation I taught attendees how to build a Scale-Out File Server (SOFS) using Windows Server 2012 R2, JBODs, Storage Spaces, Failover Clustering, and SMB 3.0 Networking, suitable for storing application data such as Hyper-V and SQL Server.
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.
Webinar: 4 Ways to Improve NetApp Storage Performance Without Replacing ItStorage Switzerland
New on demand webinar with Storage Switzerland Lead Analyst George Crump and Avere Systems Director Chris Bowen. In this webinar, George and Chris discuss why NAS storage performance is so critical, how to balance storage performance and storage capacity, and four ways to improve storage performance without replacing your existing NAS system.
Join us for our on demand webinar where Storage Switzerland and Tegile Systems discuss how the acquisition and operating costs of flash make it feasible to build a private cloud that is responsive to the needs of the business and cost effective.
Using the Cloud to Deploy Quality Management SoftwareVERSE Solutions
This document contains confidential information about EtQ, Inc. It discusses various cloud computing models including dedicated SaaS environments and multi-tenant SaaS environments. A dedicated SaaS environment provides more flexibility and security while a multi-tenant environment has less flexibility and potential security issues due to shared connections and databases. The document emphasizes considering flexibility, deployment options, look and feel, reporting capabilities, scalability, and end user adoption when evaluating quality management system software.
Webinar: Designing Storage and Apps to Enable Data MonetizationStorage Switzerland
Join Storage Switzerland and Caringo for the on demand webinar, “Designing Storage to Enable Data Monetization”. Our experts discuss unstructured data monetization use cases, how organizations are trying to band-aide legacy storage infrastructures to work in those cases and how a modern storage system can provide the answer IT is looking for.
The document discusses current trends in database management. It describes how databases are increasingly bridging SQL and NoSQL structures to provide the capabilities of both. It also discusses how databases are moving to the cloud/Platform as a Service models and how automation is emerging to simplify database management tasks. The document emphasizes that security must remain a focus as well, with database administrators working closely with security teams to protect enterprise data from both external and internal threats.
The document discusses Microsoft's approach to implementing a data mesh architecture using their Azure Data Fabric. It describes how the Fabric can provide a unified foundation for data governance, security, and compliance while also enabling business units to independently manage their own domain-specific data products and analytics using automated data services. The Fabric aims to overcome issues with centralized data architectures by empowering lines of business and reducing dependencies on central teams. It also discusses how domains, workspaces, and "shortcuts" can help virtualize and share data across business units and data platforms while maintaining appropriate access controls and governance.
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
This document discusses strategies for modernizing data centers through increased abstraction from hardware infrastructure. It advocates for a multi-year strategic planning approach to balance both incremental and transformational changes. Key elements of data center modernization discussed include adopting software-defined, programmable infrastructure through converged solutions, automation, and virtualization. Planning considerations cover people, processes, and technologies to support a transition to software-defined, utility-like operations over time.
Solve the Top 6 Enterprise Storage Issues White PaperHitachi Vantara
Storage virtualization can help organizations solve common enterprise storage issues by consolidating multiple physical storage systems into a single virtual pool. This allows for increased utilization of existing assets, simplified management across heterogeneous systems, and reduced costs through measures like thin provisioning and automation. Virtualization helps organizations address issues like exponential data growth, low storage utilization, increasing management complexity, and rising capital and operating expenditures on storage infrastructure.
Unstructured data is growing at a staggering rate. It is breaking traditional storage and IT budgets and burying IT professionals under a mountain of operational challenges. Listen as Cloudian and Storage Switzerland discuss panel-style discussion the seven key reasons why organizations can dramatically lower storage infrastructure costs by deploying a hardware-agnostic object storage solution instead of sticking with legacy NAS.
ADV Slides: Platforming Your Data for Success – Databases, Hadoop, Managed Ha...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here? In this webinar, we say no.
Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage like a kid in a candy store? We’ll discuss what platforms to use for what data. This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
Drop the herd mentality. In reality, there is no “one size fits all” right now. We need to make our platform decisions amidst this backdrop.
This webinar will distinguish these analytic deployment options and help you platform 2020 and beyond for success.
SplunkLive! Nutanix Session - Turnkey and scalable infrastructure for Splunk ...Splunk
Nutanix provides a turnkey and scalable infrastructure for Splunk in 3 sentences:
1) The Nutanix solution uses SSD and a scale-out datacenter appliance to address Splunk's IO intensity and provide faster time to value.
2) It employs a scale-out cluster to eliminate server sprawl and simplify adding more data sources.
3) The converged and software-defined Nutanix platform virtualizes Splunk for enterprise features while improving performance, capacity, and manageability over direct deployment.
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
Modern data warehouses need to be modernized to handle big data, integrate multiple data silos, reduce costs, and reduce time to market. A modern data warehouse blueprint includes a data lake to land and ingest structured, unstructured, external, social, machine, and streaming data alongside a traditional data warehouse. Key challenges for modernization include making data discoverable and usable for business users, rethinking ETL to allow for data blending, and enabling self-service BI over Hadoop. Common tactics for modernization include using a data lake as a landing zone, offloading infrequently accessed data to Hadoop, and exploring data in Hadoop to discover new insights.
This document discusses Data Vault fundamentals and best practices. It introduces Data Vault modeling, which involves modeling hubs, links, and satellites to create an enterprise data warehouse that can integrate data sources, provide traceability and history, and adapt incrementally. The document recommends using data virtualization rather than physical data marts to distribute data from the Data Vault. It also provides recommendations for further reading on Data Vault, Ensemble modeling, data virtualization, and certification programs.
Modernize storage infrastructure with hybrid cloud & flashCraig McKenna
As we enter the cognitive era leveraging data (your own institution's but combined with data from other sources) is the only way to survive and thrive in a competitive landscape. Hybrid cloud is the platform and the right data management strategy (and partner) is essential. Are you ready for the cognitive era?
Webinar: Achieving VDI Success Without All-Flash ProblemsStorage Switzerland
Join Storage Switzerland and Cloudistics for an informative webinar that will provide an alternative approach that meets user’s performance expectations while leveraging existing – and often already paid for – storage hardware and does not introduce new silos of storage.
Webinar: Is Convergence right for you? – 4 questions to askStorage Switzerland
The document discusses key questions to ask when evaluating converged infrastructure solutions: (1) How is the converged system designed? (2) How hard is it to manage? (3) How does it scale? (4) How does it protect data? It recommends choosing a solution that is fully integrated, easy to manage through a single interface, allows granular scaling of resources, and has built-in high availability and disaster recovery. The webinar aims to help organizations understand whether and how convergence could benefit their environment.
Big Data: InterConnect 2016 Session on Getting Started with Big Data AnalyticsCynthia Saracco
Learn how to get started with Big Data using a platform based on Apache Hadoop, Apache Spark, and IBM BigInsights technologies. The emphasis here is on free or low-cost options that require modest technical skills.
Red Hat Storage - Introduction to GlusterFSGlusterFS
Red Hat Storage introduces GlusterFS, an open source scale-out file system. GlusterFS provides scalable, affordable storage using commodity hardware. It allows linearly scaling performance and capacity by adding servers. GlusterFS has a global namespace and supports various protocols, enabling flexible deployment across private and public clouds. Many enterprises rely on GlusterFS for applications, virtual machines, Hadoop, and hybrid cloud solutions.
Introduction to GlusterFS Webinar - September 2011GlusterFS
Looking for a high performance, scale-out NAS file system? Or are you a new user of GlusterFS and want to learn more? This educational monthly webinar provides an introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two.
Gluster for Geeks: Performance Tuning Tips & TricksGlusterFS
This document summarizes a webinar on performance tuning tips and tricks for GlusterFS. The webinar covered planning cluster hardware configuration to meet performance requirements, choosing the correct volume type for workloads, key tuning parameters, benchmarking techniques, and the top 5 causes of performance issues. The webinar provided guidance on optimizing GlusterFS performance through hardware sizing, configuration, implementation best practices, and tuning.
Gluster Webinar: Introduction to GlusterFS v3.3GlusterFS
Looking for a high performance, scale-out NAS file system? Or are you a new user of GlusterFS and want to learn more? This webinar includes an introduction and review of the GlusterFS architecture and key features. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
On the agenda:
*Brief intro to Gluster’s History
*Gluster Architecture Design Goals
*Key Technical Differentiators
*Gluster Elastic Hashing Algorithm
*Deployment scenarios
*Use Cases
GlusterFS Architecture - June 30, 2011 MeetupGlusterFS
The document discusses GlusterFS, an open source distributed file system. It provides details about GlusterFS architecture, which uses a userspace filesystem design running on top of FUSE. It also summarizes GlusterFS capabilities like elastic scaling, high availability through replication, and support for various volume types including distribute, replicate, and stripe. Benchmark results show GlusterFS achieving high performance with 64 servers and 220 clients connected over InfiniBand.
Gluster Webinar: Introduction to GlusterFSGlusterFS
GlusterFS is an open source, scale-out network filesystem. It runs on commodity hardware and allows indefinite growth in capacity and performance by simply adding server nodes. Key benefits include flexibility to deploy on any hardware, linearly scalable performance, and superior storage economics compared to traditional storage solutions. GlusterFS uses a distributed hashing technique instead of a metadata server to provide high availability and reliability.
This document provides a detailed description of the Gluster Storage Platform installation process. For demonstration purposes this guide will detail how to install and configure a two-node storage cluster. It also outlines how to create a storage volume and mount on clients.
This "how-to" slideshare presentation outlines the Gluster Storage Platform installation process. For demonstration purposes we'll show you how to install and configure a two-node storage cluster.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
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.
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!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
[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.
Leveraging the Graph for Clinical Trials and Standards
Gluster Blog 11.15.2010
1. The Future of Storage is Open for Business
The Revolution in Computing is Leading to a
Similar Revolution in Storage
Revolution
in
Computing
Virtualization
Standardiz’n
Multi-Tenancy
Location
Independence
Open Source
Data Explosion
Scale-out
Scale On-
Demand
Revolution in Storage
Storage must support
new computing environment
Storage will look like the new
compute environment
2. The Future of Storage is Open for Business
Implications for Storage I
• Be open source software that runs on commodity h/w
Open Source
• Provide economics, manageability, & performance that scale
with data
• Be appropriate for both unstructured data & “big data”
Data Explosion
• Flexibly and linearly scale both performance and capacity
through “small boxes”
Scale-Out
• Transparently add or delete volumes & users
• Flexibly add/delete VM Images, application data, etc.
• Do so without disrupting any running functionality
Scale on
Demand
3. The Future of Storage is Open for Business
Implications for Storage II
• If your applications, PCs, and data center are becoming files (VM
Images)…be a file based system
• Enable VM Images, application data to be accessed, managed,
backed-up…as files
Virtualization
• Run on standard hw, standard networks, standard OS
• Reduce or eliminate need for specialized hardware/tiering for different
applications, workloads, file sizes
• Don’t require application rewrite to use storage
Standardiz’n
• Don’t tie apps or users to particular physical storage
• Enable global namespaces, quotas, and partitioning of resources
Multi Tenancy
• Provide a global namespace across geographies
• Work with the public cloud as well as on-premise
Location
Independence