The document discusses software-defined storage and how it can virtualize, automate, and centralize storage management. It describes how software-defined storage abstracts physical storage into virtual pools that can be delivered as storage services. These services can be integrated with platforms like VMware and provisioned on-demand to applications in a self-service manner. The software-defined storage approach aims to simplify storage delivery while allowing for extensibility and an open platform for innovation.
This white paper provides a detailed overview of the EMC ViPR Services architecture, a geo-scale cloud storage platform that delivers cloud-scale storage services, global access, and operational efficiency at scale.
AWS Partner Presentation - Accenture Digital Supply Chain In The CloudAmazon Web Services
This document discusses using cloud computing to improve the efficiency of digital supply chains. It notes that fixed computing resources cannot efficiently match variable demand, leading to wasted resources. The document proposes using an on-demand cloud computing model to align costs with variable demand. It also describes demonstrating the ability to ingest and transcode media files using cloud resources.
Array Networks Inc., a global leader in application delivery networking, today announces the immediate availability of its eCloud™ plug-in for VMware vCenter Orchestrator (vCO).
MegaPort: Creating a Better Way for Networks and Cloud to InterconnectDaniel Toomey
Megaport provides an elastic cloud interconnect platform that allows customers to connect their networks and data centers to cloud services and carriers instantly and flexibly. Traditionally, interconnections required separate, long-term contracts for each location. Megaport's platform offers on-demand, pay-as-you-go connectivity with bandwidth options scaling from 1 Mbps to 10 Gbps. The platform automates service provisioning and management through a web portal and API. This provides customers faster, more cost-effective connectivity to clouds like Microsoft Azure compared to traditional interconnection methods.
What is Cloud Hosting? Here is Everything You Must Know About ItReal Estate
Cloud server hosting is one of the more popular kinds of web hosting today. It is a type of web hosting where features of several servers are used together. https://bit.ly/3jPmaVx
The document discusses the history and evolution of cloud computing. It provides an overview of different cloud computing models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also discusses some common issues with cloud computing including security, availability/service level agreements (SLAs), and licensing.
Transform Your Enterprise Faster with Seamless Hybrid Cloud from NetappAmazon Web Services
This document discusses hybrid cloud solutions from NetApp and Amazon Web Services (AWS). It begins by defining hybrid IT and the NetApp Data Fabric, which allows for seamless movement of data between private and public clouds. It then describes some NetApp solutions for hybrid cloud like Cloud ONTAP and Steelstore that can run workloads on-premises or in AWS. The document also provides two customer examples of using NetApp solutions for backup to AWS Glacier storage and cloud bursting on AWS using Direct Connect.
Powering a Hybrid Cloud with CommVault and Amazon Web Services - Session Spon...Amazon Web Services
AWS Summit 2014 Perth - Breakout 4
IT organisations are increasingly challenged to protect, manage and access critical data. Struggling to keep pace with the rapid data growth means that storage teams are frequently juggling storage requirements. As IT departments worldwide are being forced to justify not only incremental spending but also their existing expenses and headcount they are being faced with more potential budget cuts.
CommVault is recognised as a leader in data and information management by industry analysts such as Gartner and Forrester and together with Amazon Web Services deliver cost effective data management solutions to address these challenges.
During this session we will explore:
- How to lower your operational costs by leveraging Amazon Web Services.
- Inventive ways to free up your existing data centre space by extending to the Cloud.
- The benefits of a single data management platform that addresses backup (virtual and physical), archiving, snapshot management, secure data access, reporting, eDiscovery and data analytics for both on premise and cloud...not just virtualisation protection.
- Discuss real world use cases of how organisations are taking advantage of this approach
- Hear why CommVault Simpana is more than just a data protection solution, it is a strategic IT platform that can help transform your business.
Presenter: Michael Porfirio, Director of Systems Engineer, CommVault Australia and New Zealand
This white paper provides a detailed overview of the EMC ViPR Services architecture, a geo-scale cloud storage platform that delivers cloud-scale storage services, global access, and operational efficiency at scale.
AWS Partner Presentation - Accenture Digital Supply Chain In The CloudAmazon Web Services
This document discusses using cloud computing to improve the efficiency of digital supply chains. It notes that fixed computing resources cannot efficiently match variable demand, leading to wasted resources. The document proposes using an on-demand cloud computing model to align costs with variable demand. It also describes demonstrating the ability to ingest and transcode media files using cloud resources.
Array Networks Inc., a global leader in application delivery networking, today announces the immediate availability of its eCloud™ plug-in for VMware vCenter Orchestrator (vCO).
MegaPort: Creating a Better Way for Networks and Cloud to InterconnectDaniel Toomey
Megaport provides an elastic cloud interconnect platform that allows customers to connect their networks and data centers to cloud services and carriers instantly and flexibly. Traditionally, interconnections required separate, long-term contracts for each location. Megaport's platform offers on-demand, pay-as-you-go connectivity with bandwidth options scaling from 1 Mbps to 10 Gbps. The platform automates service provisioning and management through a web portal and API. This provides customers faster, more cost-effective connectivity to clouds like Microsoft Azure compared to traditional interconnection methods.
What is Cloud Hosting? Here is Everything You Must Know About ItReal Estate
Cloud server hosting is one of the more popular kinds of web hosting today. It is a type of web hosting where features of several servers are used together. https://bit.ly/3jPmaVx
The document discusses the history and evolution of cloud computing. It provides an overview of different cloud computing models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also discusses some common issues with cloud computing including security, availability/service level agreements (SLAs), and licensing.
Transform Your Enterprise Faster with Seamless Hybrid Cloud from NetappAmazon Web Services
This document discusses hybrid cloud solutions from NetApp and Amazon Web Services (AWS). It begins by defining hybrid IT and the NetApp Data Fabric, which allows for seamless movement of data between private and public clouds. It then describes some NetApp solutions for hybrid cloud like Cloud ONTAP and Steelstore that can run workloads on-premises or in AWS. The document also provides two customer examples of using NetApp solutions for backup to AWS Glacier storage and cloud bursting on AWS using Direct Connect.
Powering a Hybrid Cloud with CommVault and Amazon Web Services - Session Spon...Amazon Web Services
AWS Summit 2014 Perth - Breakout 4
IT organisations are increasingly challenged to protect, manage and access critical data. Struggling to keep pace with the rapid data growth means that storage teams are frequently juggling storage requirements. As IT departments worldwide are being forced to justify not only incremental spending but also their existing expenses and headcount they are being faced with more potential budget cuts.
CommVault is recognised as a leader in data and information management by industry analysts such as Gartner and Forrester and together with Amazon Web Services deliver cost effective data management solutions to address these challenges.
During this session we will explore:
- How to lower your operational costs by leveraging Amazon Web Services.
- Inventive ways to free up your existing data centre space by extending to the Cloud.
- The benefits of a single data management platform that addresses backup (virtual and physical), archiving, snapshot management, secure data access, reporting, eDiscovery and data analytics for both on premise and cloud...not just virtualisation protection.
- Discuss real world use cases of how organisations are taking advantage of this approach
- Hear why CommVault Simpana is more than just a data protection solution, it is a strategic IT platform that can help transform your business.
Presenter: Michael Porfirio, Director of Systems Engineer, CommVault Australia and New Zealand
Pivotal CF is a platform as a service that provides containerization and scheduling of applications across clusters, native and extended data services, and automatic configuration of application servers and operating systems using buildpacks. It also offers policy, identity and role management, application health monitoring, load balancing, rapid scaling, and availability zones. Additionally, Pivotal CF handles infrastructure as a service provisioning, scaling and configuration, application network security, binding applications to services, and provides logging, metrics, performance monitoring and metric-based scaling.
IBM acquired SoftLayer in 2013 to enter the IaaS market, and rolled it into their existing PaaS offering Bluemix in 2016 under a new IBM Cloud brand. IBM Cloud provides both IaaS through virtual servers and storage, and PaaS for developing apps using services like AI and databases. It offers public, private, and on-premises deployment models with a focus on security, and supports applications across industries with migration and management tools.
This document provides an overview of cloud computing, including definitions of related terms like infrastructure as a service, platform as a service, software as a service, and utility computing. It discusses the history of cloud computing and how it has evolved from concepts like grid computing and utility computing. The document also outlines the key characteristics of public and private clouds and different cloud layers and services.
The session gives an introduction to Big Data.
Starts by giving a generally accepted definition of the term Big Data. Then explores why Big Data is important in the current business scenario . The topic ends with enumeration of the technologies used to analyze Big Data like Map Reduce, NoSql etc
5-7 key questions (non-generic) which would be covered in the webinar
(i) What is Big Data
(ii) Why is Big Data important in the current business scenario
(iii) How can an organization effectively use Big Data
(iv) What are the important technologies used to analyze Big Data?
(v) What are MapReduce/Hadoop/HDFS/NoSQL technologies?
Building Hadoop-as-a-Service with Pivotal Hadoop Distribution, Serengeti, & I...EMC
Hadoop has made it into the enterprise mainstream as Big Data technology. But, what about Hadoop as a private or public cloud service on a shared infrastructure? This session looks at a Hadoop solution with virtualization, shared storage, and multi-tenancy, and discuss how service providers can use Pivotal Hadoop Distribution, Isilon, and Serengeti to offer Hadoop-as-a-Service.
Objective 1: Understand Hadoop and its deployment challenges.
After this session you will be able to:
Objective 2: Understand the EMC HDaaS solution architecture and the use cases it addresses.
Objective 3: Understand Pivotal Hadoop Distribution, Serengeti and Isilon's Hadoop features.
The document discusses and compares several major cloud service providers, including Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, Oracle Cloud Infrastructure, SAP Cloud Platform, and Salesforce Service Cloud. It provides an overview of the services offered by each provider such as compute, storage, databases, machine learning, and describes some of their key features and histories. A table is included that compares AWS, Azure, and GCP across several categories like data management, app development, SMB analytics, and machine learning products.
Fujitsu provides hybrid IT and multi-cloud services to help customers digitally transform even the most complex enterprises. They work with leading cloud providers like AWS, Azure, and VMware to deliver managed services that integrate public and private clouds. Fujitsu focuses on addressing challenges in cloud migration through their customer-centric approach and innovation partnerships.
Connections in AWS with cloud native servicesMartin Schmidt
HCL currently only publishes a guide for installing HCL Connections Component Pack in a private reference installation of Kubernetes. One should not underestimate the effort and knowledge required to provide and operate this basic infrastructure.This presentation shows which services of AWS can be used to run HCL Connections and its Component Pack to access the expert knowledge of AWS. The used services are among others: EKS, EFS, ElasticSearch, CloudFormation, RDS.
Programmable I/O Controllers as Data Center Sensor NetworksEmulex Corporation
This is a presentation on 'Programmable I/O Controllers as Data Center Sensor Networks' as presented by Shaun Walsh and Sanjeev Datla at the 2011 Storage Developer's Conference in October 2011.
The document discusses key concepts of cloud computing including:
- Cloud computing relies on pooled computing resources that can be rapidly provisioned via virtualization and automation to scale services up or down based on demand.
- There are various hosting models ranging from self-hosting to full cloud computing, with cloud computing offering the lowest upfront costs and ability to pay based on usage.
- Cloud computing has evolved from mainframe computing through distributed systems and grid computing to today's utility computing model of on-demand access to shared computing resources and services over the internet.
Early cloud models using shared and virtualized resources are no longer sufficient to achieve the potential for business innovation that cloud computing promises. A SoftLayer cloud solution from IBM offers businesses flexibility, performance, and control through a global network of data centers, combinations of bare metal and virtual servers across public and private environments, and over 3,000 API methods that can be accessed for automation and security. With SoftLayer, businesses can tap into IBM's resources and innovation to transform and grow their operations through a powerful cloud infrastructure.
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
Hybrid Enterprise IaaS Cloud - what you need to know!ShapeBlue
The document discusses hybrid cloud and provides an agenda for a workshop on the topic. It summarizes ShapeBlue as an expert in building public and private clouds internationally using CloudStack/CloudPlatform. Hybrid cloud is described as a combination of private and public cloud to address both traditional and cloud-native workloads. The key barriers to hybrid cloud are discussed as trust/security, data location/jurisdiction, and interoperability/portability.
Ciena presents on the cloud and datacenter marketplace at the 2014 Integra Tech Expo series.
Extreme growth in cloud services, video, tablets, smartphone traffic, and content delivery have created an environment where network connectivity and application access have become business necessities. In this new world, end-user devices, cloud services, and the network must come together to provide seamless user experiences regardless of physical location of the user, or the application. Ciena, the Networking Specialist, addresses how a “cloud backbone” network can deliver accelerated information flow, cost-effective network performance, and efficient means to address bandwidth-intensive application requirements across geographies—thereby making you more competitive.
Cloud computing has won and most companies are using more than one public and private clouds. This has created challenges and complexity which are addressed by new technology such as Istio service mesh.
This document discusses cloud computing architecture and strategies for digital business transformation. It outlines how cloud computing can help CIOs accelerate innovation, lower costs, and reduce risk to meet business objectives. The document then describes different cloud models (IaaS, PaaS, SaaS) and provides examples of technical architectures for VMware and OpenStack private clouds. It emphasizes that success requires starting with a well-defined cloud strategy and developing a comprehensive technical design.
The Road Ahead for OpenStack. As change keeps happening faster than ever, OpenStack will continue to evolve as containers, virtual machines, bare metal, and other paradigms such as serverless come into vogue.
ShapeBlue South Africa Launch-Iaas business use cases ShapeBlue
1) The document discusses use cases for building an Infrastructure as a Service (IaaS) cloud using the Apache CloudStack platform. Key use cases mentioned include providing IaaS for service providers and public clouds, enabling DevOps automation and continuous integration workflows, hosting workloads internally that are known and predictable to reduce AWS costs, and building next-generation hybrid cloud infrastructure within enterprises.
2) The document promotes Apache CloudStack as the best open source platform for building IaaS clouds, noting its large community and commercial support from companies like Citrix.
3) Examples are given of companies like SunGard and Exoscale that have built successful public IaaS clouds using CloudStack, and how Sky Television
This document defines cloud computing and its service models of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It discusses key characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, and rapid elasticity. Example vendors for each service model and benefits of cloud computing are also summarized. Contact information is provided for further information.
The Future of Storage : EMC Software Defined Solution RSD
EMC provides intelligent software-defined storage solutions that help organizations drastically reduce management overhead through automation across traditional storage silos and pave the way for rapid deployment of fully integrated next generation scale-out storage architectures.
Presentation of Executive Briefing, April 2015
Software defined storage real or bs-2014Howard Marks
This document discusses software defined storage and evaluates whether it is a real technology or just hype. It defines software defined storage as storage software that runs on standard x86 server hardware and can be sold as software or as an appliance. The document examines different types of software defined storage like storage that runs on a single server, in a virtual machine, or across multiple hypervisor hosts in a scale-out cluster. It also compares the benefits and challenges of converged infrastructure solutions using software defined storage versus dedicated storage arrays.
Pivotal CF is a platform as a service that provides containerization and scheduling of applications across clusters, native and extended data services, and automatic configuration of application servers and operating systems using buildpacks. It also offers policy, identity and role management, application health monitoring, load balancing, rapid scaling, and availability zones. Additionally, Pivotal CF handles infrastructure as a service provisioning, scaling and configuration, application network security, binding applications to services, and provides logging, metrics, performance monitoring and metric-based scaling.
IBM acquired SoftLayer in 2013 to enter the IaaS market, and rolled it into their existing PaaS offering Bluemix in 2016 under a new IBM Cloud brand. IBM Cloud provides both IaaS through virtual servers and storage, and PaaS for developing apps using services like AI and databases. It offers public, private, and on-premises deployment models with a focus on security, and supports applications across industries with migration and management tools.
This document provides an overview of cloud computing, including definitions of related terms like infrastructure as a service, platform as a service, software as a service, and utility computing. It discusses the history of cloud computing and how it has evolved from concepts like grid computing and utility computing. The document also outlines the key characteristics of public and private clouds and different cloud layers and services.
The session gives an introduction to Big Data.
Starts by giving a generally accepted definition of the term Big Data. Then explores why Big Data is important in the current business scenario . The topic ends with enumeration of the technologies used to analyze Big Data like Map Reduce, NoSql etc
5-7 key questions (non-generic) which would be covered in the webinar
(i) What is Big Data
(ii) Why is Big Data important in the current business scenario
(iii) How can an organization effectively use Big Data
(iv) What are the important technologies used to analyze Big Data?
(v) What are MapReduce/Hadoop/HDFS/NoSQL technologies?
Building Hadoop-as-a-Service with Pivotal Hadoop Distribution, Serengeti, & I...EMC
Hadoop has made it into the enterprise mainstream as Big Data technology. But, what about Hadoop as a private or public cloud service on a shared infrastructure? This session looks at a Hadoop solution with virtualization, shared storage, and multi-tenancy, and discuss how service providers can use Pivotal Hadoop Distribution, Isilon, and Serengeti to offer Hadoop-as-a-Service.
Objective 1: Understand Hadoop and its deployment challenges.
After this session you will be able to:
Objective 2: Understand the EMC HDaaS solution architecture and the use cases it addresses.
Objective 3: Understand Pivotal Hadoop Distribution, Serengeti and Isilon's Hadoop features.
The document discusses and compares several major cloud service providers, including Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, Oracle Cloud Infrastructure, SAP Cloud Platform, and Salesforce Service Cloud. It provides an overview of the services offered by each provider such as compute, storage, databases, machine learning, and describes some of their key features and histories. A table is included that compares AWS, Azure, and GCP across several categories like data management, app development, SMB analytics, and machine learning products.
Fujitsu provides hybrid IT and multi-cloud services to help customers digitally transform even the most complex enterprises. They work with leading cloud providers like AWS, Azure, and VMware to deliver managed services that integrate public and private clouds. Fujitsu focuses on addressing challenges in cloud migration through their customer-centric approach and innovation partnerships.
Connections in AWS with cloud native servicesMartin Schmidt
HCL currently only publishes a guide for installing HCL Connections Component Pack in a private reference installation of Kubernetes. One should not underestimate the effort and knowledge required to provide and operate this basic infrastructure.This presentation shows which services of AWS can be used to run HCL Connections and its Component Pack to access the expert knowledge of AWS. The used services are among others: EKS, EFS, ElasticSearch, CloudFormation, RDS.
Programmable I/O Controllers as Data Center Sensor NetworksEmulex Corporation
This is a presentation on 'Programmable I/O Controllers as Data Center Sensor Networks' as presented by Shaun Walsh and Sanjeev Datla at the 2011 Storage Developer's Conference in October 2011.
The document discusses key concepts of cloud computing including:
- Cloud computing relies on pooled computing resources that can be rapidly provisioned via virtualization and automation to scale services up or down based on demand.
- There are various hosting models ranging from self-hosting to full cloud computing, with cloud computing offering the lowest upfront costs and ability to pay based on usage.
- Cloud computing has evolved from mainframe computing through distributed systems and grid computing to today's utility computing model of on-demand access to shared computing resources and services over the internet.
Early cloud models using shared and virtualized resources are no longer sufficient to achieve the potential for business innovation that cloud computing promises. A SoftLayer cloud solution from IBM offers businesses flexibility, performance, and control through a global network of data centers, combinations of bare metal and virtual servers across public and private environments, and over 3,000 API methods that can be accessed for automation and security. With SoftLayer, businesses can tap into IBM's resources and innovation to transform and grow their operations through a powerful cloud infrastructure.
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
Hybrid Enterprise IaaS Cloud - what you need to know!ShapeBlue
The document discusses hybrid cloud and provides an agenda for a workshop on the topic. It summarizes ShapeBlue as an expert in building public and private clouds internationally using CloudStack/CloudPlatform. Hybrid cloud is described as a combination of private and public cloud to address both traditional and cloud-native workloads. The key barriers to hybrid cloud are discussed as trust/security, data location/jurisdiction, and interoperability/portability.
Ciena presents on the cloud and datacenter marketplace at the 2014 Integra Tech Expo series.
Extreme growth in cloud services, video, tablets, smartphone traffic, and content delivery have created an environment where network connectivity and application access have become business necessities. In this new world, end-user devices, cloud services, and the network must come together to provide seamless user experiences regardless of physical location of the user, or the application. Ciena, the Networking Specialist, addresses how a “cloud backbone” network can deliver accelerated information flow, cost-effective network performance, and efficient means to address bandwidth-intensive application requirements across geographies—thereby making you more competitive.
Cloud computing has won and most companies are using more than one public and private clouds. This has created challenges and complexity which are addressed by new technology such as Istio service mesh.
This document discusses cloud computing architecture and strategies for digital business transformation. It outlines how cloud computing can help CIOs accelerate innovation, lower costs, and reduce risk to meet business objectives. The document then describes different cloud models (IaaS, PaaS, SaaS) and provides examples of technical architectures for VMware and OpenStack private clouds. It emphasizes that success requires starting with a well-defined cloud strategy and developing a comprehensive technical design.
The Road Ahead for OpenStack. As change keeps happening faster than ever, OpenStack will continue to evolve as containers, virtual machines, bare metal, and other paradigms such as serverless come into vogue.
ShapeBlue South Africa Launch-Iaas business use cases ShapeBlue
1) The document discusses use cases for building an Infrastructure as a Service (IaaS) cloud using the Apache CloudStack platform. Key use cases mentioned include providing IaaS for service providers and public clouds, enabling DevOps automation and continuous integration workflows, hosting workloads internally that are known and predictable to reduce AWS costs, and building next-generation hybrid cloud infrastructure within enterprises.
2) The document promotes Apache CloudStack as the best open source platform for building IaaS clouds, noting its large community and commercial support from companies like Citrix.
3) Examples are given of companies like SunGard and Exoscale that have built successful public IaaS clouds using CloudStack, and how Sky Television
This document defines cloud computing and its service models of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It discusses key characteristics of cloud computing including on-demand self-service, broad network access, resource pooling, and rapid elasticity. Example vendors for each service model and benefits of cloud computing are also summarized. Contact information is provided for further information.
The Future of Storage : EMC Software Defined Solution RSD
EMC provides intelligent software-defined storage solutions that help organizations drastically reduce management overhead through automation across traditional storage silos and pave the way for rapid deployment of fully integrated next generation scale-out storage architectures.
Presentation of Executive Briefing, April 2015
Software defined storage real or bs-2014Howard Marks
This document discusses software defined storage and evaluates whether it is a real technology or just hype. It defines software defined storage as storage software that runs on standard x86 server hardware and can be sold as software or as an appliance. The document examines different types of software defined storage like storage that runs on a single server, in a virtual machine, or across multiple hypervisor hosts in a scale-out cluster. It also compares the benefits and challenges of converged infrastructure solutions using software defined storage versus dedicated storage arrays.
This document provides an overview of software-defined storage (SDS) concepts and discusses several SDS solutions from major vendors. It defines SDS and explains how adding a control layer allows for visibility, communication, and allocation of storage resources. Benefits highlighted include efficiency, automation, flexibility, scalability, reliability and cost savings. Specific SDS products are then profiled from vendors such as EMC, HP, IBM, NetApp, VMware, Coraid, DataCore, Dell, Hitachi, Pivot3, and RedHat.
2015 open storage workshop ceph software defined storageAndrew Underwood
The document provides an overview of Ceph software-defined storage. It begins with an agenda for an Open Storage Workshop and discusses how the storage market is changing and the limitations of current storage technologies. It then introduces Ceph, describing its architecture including RADOS, CephFS, RBD and RGW. Key benefits of Ceph are scalability, low cost, resilience and extensibility. The document concludes with a case study of Australian research universities using Ceph with OpenStack and next steps to building a scalable storage solution.
Dealing with data storage pain points? Learn why a true Software-defined Storage solution is ideal for improving application performance, managing diversity and migrating between different vendors, models and generations of storage devices.
Manage rising disk prices with storage virtualization webinarHitachi Vantara
Learn how storage virtualization can reclaim existing storage on the floor. Extend thin provisioning to existing storage to increase disk utilization and defer capital purchases. Take advantage of zero reclaim and write same to reclaim storage reclamation.
1) Ceph is an open source distributed storage system that provides scalable, fault-tolerant storage and manages petabytes of data across clusters of commodity hardware.
2) It uses Object Storage Daemons (OSDs) that serve storage objects and replicate data across peers for redundancy. Multiple OSDs can be grouped in monitor nodes that track cluster state.
3) Ceph offers self-healing capabilities through redundancy and allows data to be placed close to applications for performance. It provides APIs and integration with clouds for flexible, software-defined storage.
The document discusses using Oracle Storage Cloud Service to back up file systems to the cloud. It introduces the Oracle Storage Cloud Software Appliance, which provides a cloud storage gateway and POSIX-compliant NFS access to Oracle Storage Cloud containers. This allows easy integration of on-premises applications and workflows with Oracle Storage Cloud without requiring major changes. The appliance provides benefits like high performance, security, and the ability to ingest large volumes of data seamlessly. It allows backing up file systems to the cloud for disaster recovery and restoring them on-demand to any worldwide location.
The document discusses the evolving role of the modern CIO and how they must focus on driving innovation, delivering better value from IT spending, and making data-driven decisions. It also discusses how traditional IT tools are insufficient for their needs and how Technology Business Management (TBM) and Apptio's cloud-based TBM software help CIOs manage the business of IT through an integrated view of costs, performance, supply and demand.
Red Hat® Ceph Storage and Network Solutions for Software Defined InfrastructureIntel® Software
This document discusses Intel's vision for software defined infrastructure (SDI) and provides examples of how their technology enables SDI. The key points are:
1. Intel's SDI vision is to provide dynamic, policy-driven management of compute, storage, and networking resources through abstraction, orchestration, and standards-based solutions.
2. Red Hat Ceph Storage is presented as an open source, scalable storage solution optimized for SDI through the use of commodity servers and SSDs.
3. Intel is contributing to open standards and growing an ecosystem of partners through their Network Builders program to accelerate the SDI transformation.
Cloudian HyperStore offer 100% S3 compatibility for low-cost, scalable smart object storage.
With HyperStore 6.0, we are focused on bringing down operational costs so that you can more effectively track, manage, and optimize your data storage as you scale.
Red Hat's Ross Turk took the podium at the Public Sector Red Hat Storage Days on 1/20/16 and 1/21/16 to explain just why software-defined storage matters.
Emergence of Software Defined Storage
SDS role in Software Defined Data Center
The value SDDC/SDC will bring to developers. System Integrators and IT community.
WHITE PAPER▶ Software Defined Storage at the Speed of FlashSymantec
This document describes using Intel SSD Data Center P3700 Series solid state drives with Symantec Storage Foundation and Flexible Storage Sharing to create a software-defined storage architecture for running Oracle databases. The setup includes two servers each with 4 Intel SSDs configured with Cluster File System to provide mirrored storage across the servers without needing external storage. Flexible Storage Sharing allows the SSDs to be shared between the servers and used to configure various logical volumes for Oracle database files and redo logs. Four Oracle single instance databases are configured to leverage the high performance and fast failover capabilities provided by the architecture.
Introducing Cisco HyperFlex Systems: The Next Generation in Complete Hypercon...Cisco Canada
Initial hyperconverged solutions brought new levels of IT simplicity, as well as the associated speed. However, quickly increasing simplicity came at a price and design trade-offs were made limiting infrastructure agility, efficiency, and adaptability.
Introducing Cisco HyperFlex Systems, complete hyperconvergence that unifies Cisco networking and computing technology with the next-generation Cisco HX Data Platform. Powered by the Cisco Unified Computing System (Cisco UCS) platform, Cisco HyperFlex solutions deliver new levels of operational efficiency and adaptability to more workloads and applications. Cisco HyperFlex technology answers the operations requirements for agility, scalability, and pay-as-you-grow economics of the cloud—but with the benefits of on-premises infrastructure.
Agenda:
• New innovations to the Cisco data center portfolio
• Introducing Cisco HyperFlex Systems powered by the Cisco UCS platform
• Deep dive into the Cisco HyperFlex HX Data Platform
• Preview early deployments of Cisco HyperFlex Systems
Cisco hyperflex software defined storage and ucs uniteCisco Canada
This document provides an overview of Cisco's storage solutions and strategies. It discusses how data growth is driving major shifts towards consolidation, virtualization, and cloud-based IT services. Cisco is focusing on hyperconverged infrastructure solutions that provide simplicity, agility, and standardization. Their new Cisco HyperFlex systems offer complete hyperconvergence with software-defined compute, storage, and networking along with next-generation data management and flexible scaling capabilities.
Red Hat Storage Day Dallas - Why Software-defined Storage MattersRed_Hat_Storage
This document discusses the evolution of storage from traditional appliances to software-defined storage. It notes that many IT decision makers find current storage capabilities inadequate and unable to handle emerging workloads. Traditional appliances face issues like vendor lock-in, lack of flexibility, and high costs. Public cloud storage is more scalable but still has complexity and limitations. The document then introduces software-defined storage as an open solution with standardized platforms that addresses these issues through increased cost efficiency, provisioning speed, and deployment options with less vendor lock-in and skill requirements. It describes Red Hat's portfolio of Ceph and Gluster open source software-defined storage solutions and their target use cases.
The document discusses Red Hat software-defined storage which uses standard hardware and software instead of proprietary appliances to provide scalable, flexible storage services at a lower cost. It highlights how software-defined storage differs from traditional storage approaches by using scale-out architectures and software-based intelligence rather than hardware-based solutions. Examples of using Red Hat storage include OpenStack, object storage, virtual machines, containers, and converged Red Hat Enterprise Virtualization and Gluster storage.
To create a consistent branding identity across their three tree products, the document discusses considering color schemes, fonts, font colors, and photos. It recommends using similar fonts, mise en scene, shot types, and editing techniques across the three products to link them together. Specifically, the document suggests choosing continual color scheme and font themes, such as black and white, to show continuity between the products.
EMC's ViPR software-defined storage aims to virtualize, automate, and centralize storage management. It defines storage pools across various storage arrays and delivers storage as a self-service catalog. The ViPR controller automates provisioning and provides centralized monitoring and reporting. ViPR also integrates with VMware and supports third-party storage arrays and OpenStack through adapters. Its open APIs allow new data services to be built on top of the platform.
The document discusses EMC's ViPR software-defined storage platform. ViPR aims to virtualize storage from multiple vendors into a single pool and automate provisioning to reduce provisioning times from hours to seconds. It also provides data services and tools to help enable hybrid cloud storage capabilities.
This session provides a brief overview of the various models available for adopting cloud and their strategic considerations, ranging from providing Enterprise class service to business alignment. This session also explores the infrastructure, management, and benefits of cloud computing and cloud storage.
Objective 1: Understand the various cloud models and their associated benefits and considerations.
After this session you will be able to:
Objective 2: Gain a high-level understanding of technologies that EMC can provide to accelerate adoption of the cloud models.
Objective 3: Understand the tactical approaches to cloud consumption available to their organization based on its needs and transformation phase.
Watch the recordings via http://www.brainshark.com/emcworld/vu?pi=zGfzHnlI1zB8sLz0
EMC's IT Transformation Journey ( EMC Forum 2014 )EMC
EMC underwent an IT transformation to move from a legacy IT model to a more agile cloud-based model. Key aspects of the transformation included virtualizing infrastructure, transitioning to a software-defined data center, building private and hybrid clouds, and establishing an IT-as-a-service model. This allowed EMC IT to reduce costs, improve provisioning times from months to hours, and increase capabilities spent from 20% to 40%. The transformation helped align IT with business needs and establish a new consumption-based funding model.
This document provides an overview and roadmap for EMC's ViPR Global Data Services, which provide storage services at cloud scale across heterogeneous storage infrastructure. It discusses how ViPR uses software-defined storage to abstract and pool storage resources. Key points covered include ViPR's object and HDFS data services, its architecture and object storage capabilities like object on file. The presentation also reviews EMC's object strategy evolution and how ViPR meets new demands of big data through a unified platform that can define multiple data services on the same data.
The document discusses EMC's ViPR software-defined storage platform. ViPR abstracts physical storage into a single virtual storage pool that automates storage provisioning. It provides a unified platform to manage multiple storage arrays from different vendors through a single interface. ViPR also includes data services like object storage and HDFS that enable customers to deploy cloud applications on existing infrastructure and leverage existing investments in storage.
The document discusses EMC's ViPR software-defined storage platform. ViPR abstracts physical storage into a single virtual storage pool that automates storage provisioning. It provides a unified platform to manage multiple storage arrays from different vendors through a single API. ViPR also includes object and HDFS data services to enable cloud-like capabilities and expand big data analytics. The goal of ViPR is to provide flexibility, choice and a path to the future for customers' evolving storage and data management needs.
The document discusses the concept of the third platform of information systems and how data is growing exponentially. It describes how big data, mobile technology, cloud computing and social media are driving structural changes across many industries. It also discusses how companies like Starbucks are leveraging these technologies through mobile applications and payments. The rest of the document discusses concepts like software-defined data centers, data lakes, building applications using data fabrics, and EMC's strategy and technologies for helping customers with their transition to the third platform.
Software Defined Data Center: The Intersection of Networking and StorageEMC
There has been quite a bit of marketing rhetoric around Software Defined Data Center (SDDC) since VMware’s acquisition of Nicira. In this session we explore the components of a SDDC. Our specific focus is on the composition of a SDDC’s resource model: Compute, Networking, and Storage. The emphasis is on the disaggregated I/O for Network and Storage resources.
Objective 1: Describe the disaggregated I/O resource model employed to facilitate the use of virtualized Ethernet and Block devices in a Software Defined Data Center.
After this session you will be able to:
Objective 2: Explain how end-user driven provisioning of virtual Ethernet devices and Block devices serve to decouple resource use from infrastructure management.
Objective 3: Describe some of the opportunities and challenges associated with employing disaggregate I/O.
Category:Applications & Databases, Storage Automation & Management, Virtualization & Cloud Computing
The document discusses EMC's hybrid cloud solution. It provides an overview of EMC and VMware's federated architecture and hybrid cloud approach. Key features of EMC Hybrid Cloud 2.5 are highlighted, including automated provisioning, monitoring, backup/recovery, and the ability to migrate workloads between private and public clouds.
Cloud Infrastructure and Services (CIS) - WebinarEMC
Between 2012 and 2020, the patch of the digital universe that CIOs and their IT staffs need to manage will become not just bigger but also more complex. The skills, experience, and resources to manage all these bits of data will become scarcer and more specialized, requiring a new, flexible, and scalable IT infrastructure that extends beyond the enterprise: cloud computing. By 2020, nearly 40% of the information in the digital universe will be "touched" by cloud computing providers - meaning that a byte. The Cloud Infrastructure and Services (CIS) session educates participants about cloud deployment and service models, cloud infrastructure, and the key considerations in migrating to cloud computing.
Software Defined Data Center: The Intersection of Networking and StorageEMC
There has been quite a bit of marketing rhetoric around Software Defined Data Center (SDDC) since VMware’s acquisition of Nicira. In this session we explore the components of a SDDC. Our specific focus is on the composition of a SDDC’s resource model: Compute, Networking, and Storage. The emphasis is on the disaggregated I/O for Network and Storage resources.
Objective 1: Describe the disaggregated I/O resource model employed to facilitate the use of virtualized Ethernet and Block devices in a Software Defined Data Center.
After this session you will be able to:
Objective 2: Explain how end-user driven provisioning of virtual Ethernet devices and Block devices serve to decouple resource use from infrastructure management.
Objective 3: Describe some of the opportunities and challenges associated with employing disaggregate I/O.
This document provides an overview and roadmap for EMC's ViPR Data Services. It discusses how the growth of data and need for analytics is driving the need for software-defined storage that can span heterogeneous infrastructure and support different data types. It introduces EMC's Advanced Software Division and ViPR platform, which provides a software-defined approach and data services like the ViPR Object Data Service and HDFS Data Service. These services provide a unified platform to define data services in software that can execute across traditional and new storage devices. The document also discusses EMC's object strategy and provides details on the ViPR Object Data Service, including its architecture and capabilities like Object on File. It concludes with a roadmap slide noting upcoming features
1) IBM PureSystems provides pre-integrated and pre-configured systems to help clients close the gap between business innovation and IT capabilities.
2) It offers a continuum of value from flexible building blocks to fully integrated systems. This provides clients with simplicity, rapid deployment, agility and elasticity.
3) The document discusses how IBM PureSystems can help clients optimize workloads across Mainframe and PureSystems environments through fast provisioning, standardization, reduced maintenance costs and clear deployment strategies.
Atea Boot Camp 2014
Break-Out Session: Back to the Future V - Evolving to a Software-Defined world and architecture with Magnus Nilsson, Senior Specialist Advanced Software Division, EMC
What is expected from Chief Cloud Officers?Bernard Paques
The new CxO is taking care of cloud computing for his company. Among his responsabilities: brand experience, go-to-market and business agility. What do these mean in terms of capabilities?
This document provides an overview of typical jobs in the cloud technology arena, including brief descriptions of 5 jobs: 1) R&D in Virtualization Technologies, 2) Open Source Application Developer, 3) Infrastructure Architect, 4) Database Architect, and 5) Data Scientist. For each job, it discusses relevant background, skills, responsibilities, and career advice from interviews with professionals in those roles at EMC Corporation. It also briefly outlines EMC's focus on cloud computing and strategic acquisitions in information management and storage systems.
Similar to True Storage Virtualization with Software-Defined Storage (20)
This document is a one page CV that introduces Hackandcraft as a boutique product and tech agency. It lists the previous employers of Harry McCarney and Martin Peschke, as well as some of the services offered by Hackandcraft, including data cleansing, normalization, image and text approval, and normalizing free text. Contact information is provided at the bottom for Harry McCarney.
This document discusses how to make enterprise IT more engaging by embracing social networks, BYOD, open source technologies, cloud computing as a philosophy, and DIY approaches. Some specific strategies mentioned include using social networks to create social intranets and help desks, embracing BYOD by supporting HTML5 responsive designs and dealing with Android complexity, leveraging open source tools like Ansible, Redis, and Solr Cloud, and empowering employees to build their own apps by opening up APIs. The overall goal is to move from a traditional "ugly" enterprise IT model to a more "sexy" and vivacious one that focuses on people over transactions and empowers knowledge sharing.
Fidor Bank AG is a fully licensed online bank in Germany that focuses on web 2.0, social media, e-commerce, and mobile banking. It offers a unique combination of banking, payment, and community services. FidorBank's proprietary technology platform allows for high scalability and standardized interfaces. The bank aims to deliver cost-effective and customer-centric services, and has begun international expansion through partnerships.
EMC's IT's Cloud Transformation, Thomas Becker, EMCCloudOps Summit
The document discusses EMC's transformation to an IT-as-a-Service model. Key points include:
1) EMC transitioned IT from an infrastructure focus to applications focus and now a business focus, optimizing IT production for business consumption.
2) This involved virtualizing servers and applications, consolidating data centers, and achieving 90% virtualization of OS images.
3) The transformation aims to provide agility, cost savings, and a 1 day application provisioning time through a service-oriented IT-as-a-Service model.
Strategic Importance of Semantic Technologies as a Key Differentiator for IT ...CloudOps Summit
CloudOps Summit 2012, Frankfurt, 20.9.2012
Track 2 - Build and Run by Francesco Incorvaia, fluid Operations AG (@fluidops)
http://cloudops.de/sprecher/#francescoincorvaia
Find the video of this talk at http://youtu.be/Eb0HO0hi_jc
CloudOps Summit 2012, Frankfurt, 20.9.2012
Track 3 - Cloud Skills by Luca Hammer (@luca), work.io
http://cloudops.de/sprecher/#lucahammer
Find the video of this talk at http://youtu.be/i10lvR6MGNs
Cloud architecture and deployment: The Kognitio checklist, Nigel Sanctuary, K...CloudOps Summit
CloudOps Summit 2012, Frankfurt, 20.9.2012 Track 2 - Build and Run
by Nigel Sanctuary, VP Propositions at Kognitio (www.kognitio.com)
http://cloudops.de/sprecher/#nigelsanctuary
Find the video of this talk at http://youtu.be/wQrHQNOMlKc
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).
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
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.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Traditionally, applications have dictated a set of requirements that directly related to a set of choices on infrastructure technologies. Each application type had it’s own vertical stack of CPU and operating system type, of storage pool, of networking and security, and even management systems. As storage has evolved through the past few decades, it has adequately met the requirements of new application workloads by providing arrays with distinctive characteristics. This approach has lead to the development of a diverse set of powerful storage arrays, each with its own unique value. While needs have been met, it has created massive complexity for storage administrators. The datacenter environment just becomes more and more divergent, leading to increased complexity, driving the need for more and more resources to manage and keep the infrastructure up-to-date, which ultimately drives a significant amount – as much as 70% - of operating expenses. This picture is just not sustainable over time and puts IT further and further into the hole, turning storage administrators into storage managers who spend most of their time simply managing the storage arrays instead of optimizing information storage for their business.
The software-defined-data center aims to break down data center silos. The SDDC is a concept being driven by VMWare and compute virtualization. But the value of a SDDC is broader than simply compute/server virtualization. The SDDC abstractsthe functionality of all the hardware components – compute, networking and storage and provides the ability to programmatically drive your data center – to truly realize end to end automation through your entire data center. The less human interaction – the lower the costs and the less room there is for error.
Yet storage virtualization has lagged behind. If you take a look at Enterprise data centers today, compute is the most mature. Analysts estimate that enterprises have virtualized between 30-75% of their compute infrastructure. Networking virtualization in the form of VLANs has existed for some time but is just starting to accelerate with new sophisticated network virtualization solutions, such as Nicera. Storage has lagged behind with a mere 5-10% of storage infrastructure virtualized . This is due in part to the fact that unlike network and compute which focus on configuration and resource – storage laden with data is inherently heavy. And storage lacks a set of clearly defined protocols and lack standardization across tools. As a result, Storage evolved into a heterogeneous environment, where, application workloads are tied to unique storage and array types. All of which have prevented storage virtualization from evolving as fast as network and compute.To realize the full value of the SDDC,compute, network and storage – must be virtualized. .
This is because the world around is changing at record speed: It’s a data-centric world. Data is outpacing the staff to manage it and data must be stored for longer periods of time. Mobile devices are the preferred access medium, and provide instant access to cloud applications, which are the major contributor to data growth. In fact, 75% of data is end-user generated, 90% of which is unstructured, and 80% is managed by IT at some point in its lifecycle. Users demand instant Web access and Developers demand cloud-scale and speed from IT. If they don’t get it, they’ll go outside of IT for easy to access swipe and go resources. As a result, Storage is at the Center of an IT transformation, and enterprises must rethink how storage is delivered and managed in order to store massive amounts of content, continue to provide access via traditional methods (on the LAN via CIFS/NFS) and provide support for new Web mobile and cloud methods (http, REST) – and ensure it can evolve, adapt and respond to new workloads on demand.
That’s where a Software-Defined Storage solution would fit it. A solution which is completely based on software, and which automates the storage provisioning and management. A solution that transform existing heterogeneous physical storage into a simple, extensible, and open virtual storage platform. SimpleStorage virtualizationAutomate storage workflowsCentralize managementExtensibleSupports multivendor storage arraysIntegrate with cloud stacks Open Standard APIs Global data servicesOpen community
Companies look for a solution to manage their heterogeneous storage environments, even from different vendors, and commodity storage like Amazon S3 or even dropbox. Now, what’ would be new compared to other approaches in the market? The control plane (what manages the storage arrays) need to be decoupled from the data service plane (which manages the data) . Why? This ensures, the platform does not sit in the data path for file and block stores, and all applications can directly access storage and all its underlying value and data services embedded in the storage arrays. That’s especially important for low latency application. By abstracting the control path, storage management can operates at the virtual layer, which gives customers the ability to partition a storage pool into virtual storage arrays.This is analogous to partitioning a server into a number of virtual machines. Control path data services provide multi-tenancy, service cataloging, Metering and Monitoring across all arrays. It also enables administrators to centralize data provisioning and data management tasks, and allow any applications to access file and block data.
The Software-Defined Storage solution should be simple:It should help to Simplify Storage Management and Delivery through storage virtualization, automation, and centralized management.
The controller plane should be separated from the data plane in order not to impact applications with low latency. The functions of the controller are: Recognizes all arraysVirtualizes and Configures your storage,Automates storage tasks and delivers through a self-service catalog and centralizes management across physical and virtual environmentsLet take a look at how in 3 easy steps, you can deliver a fully automated, self-service storage model, across arrays.
Discovering and registering arrays is the first of 3 easy steps to virtualize, automate and centralize storage. The storage administrator defines the storage environment that it wants the virtualization platform to manage. They point to storage arrays, SAN switches, and data Protection devices. The Controller discovers and abstracts physical storage arrays with all their unique capabilities into a single pool of virtual storage. That steps should only need to be done at the beginning or at anytime the administrator wants to add or change the configuration. All of the functions exposed through the portal should be accessed through a REST APis.
The next two steps are to Define Virtual Storage Arrays and Configure Virtual Storage Pools. In step 2: the Storage administrators creates virtual storage arrays,managed at the virtual layer according to automated policies. This approach is very similar to how server administrators can create many virtual machines with unique characteristics from one or more physical servers. Remember these are abstract arrays where a Virtual storage array can span multiple physical arrays. In final step: the Storage Administrator configures Virtual Storage Pools. Virtual Storage Pools represent sets of storage capabilities required by unique application workloads. Rather than provisioning capacity on storage arrays, storage administrators give users the ability to subscribe to Virtual Storage Pools that meet their unique requirements.
Quick delivery of requested storage capacity will be provided to users and tenants via a service catalog.Users subscribe to a Virtual Storage Pool that meets their workload’s demands. The user does not need to know or care about the underlying hardware and software that is providing the data service to their application. For example, a transactional workload would subscribe to a Virtual Storage Pool that features the characteristics of a high-performance block store. A cloud application such as online file and content sharing would subscribe to a Virtual Storage Pool that features the characteristics of a distributed object or file-based storage cloud. When the customer selects that Virtual Storage Pool, the virtualization platform automatically provisions the right hardware and software to meet that need.The result is, No more provisioning. Storage would be instantly available – on demand. This helps storage administrators minimize user-IT interactions, automate the process of identifying available storage capacity, and better map an application workload’s requirements to the right combination of software and hardware storage resources - instead of the repetitive, time consuming, labor intensive task of provisioning storage manually.For enterprise IT – such a solution delivers a huge advantage. They can now provide access to storage in less time than it takes them to go to an external cloud vendor – all while utilizing their existing storage infrastructure.
What makes this so compelling is the significant time savings. Such a solution enables you to simplify storage management delivery by virtualizing storage and automating storage requests to make storage more responsive to the changing needs of the business. Making storage resources available instantly - provisioning tasks that typically take 29 days to complete are completed instantly. With such a storage virtualization solution, developers select the class of storage thru storage service catalogs to rapidly build and deploy apps, and centralize management. This ensures that storage services are well-defined and ensures service levels required by the applications and users are met - all while removing error prone manual processes - IT monitors and meters storage usage and charges for only what is being used.
Such a solution needs to be an open cloud platform that is completely extensible. AnOpen Architecture Provides Choice,enables customers and partners to integrate all sorts of storage arrays, Cloud stacks and Vmware, data services and more.
It must be ensure such a solution is an open cloud platform in which the hardware is abstracted, so it’s easy to write connectors or code that understands the underlying arrays and exposes them to the virtualization platform. Ideally, the interface specification will be published through the supplier. So, any 3rd parties can easily write adaptors.
All data and resources managed by the virtualization platform should be accessible via the open API, which can then integrate with Vmware and other cloud environments such as OpenStack, or Microsoft. That means, the the storage layer could be another programmatic virtual resource in a SDDC. An organization could easily integrate the virtualization platform into their existing data center operations. It can provide, for example, specific VMware integration with interfaces into the VMware vStorage API for Storage Awareness (VASA), vCenter Orchestrator and vCenter Operations. For example, a vCenter administrator has end-to-end visibility from the virtual machine to physical storage.
All data and resources managed by the virtualization platform should be accessible via the open API, which can then integrate with Vmware and other cloud environments such as OpenStack, or Microsoft. That means, the the storage layer could be another programmatic virtual resource in a SDDC. An organization could easily integrate the virtualization platform into their existing data center operations. It can provide, for example, specific VMware integration with interfaces into the VMware vStorage API for Storage Awareness (VASA), vCenter Orchestrator and vCenter Operations. For example, a vCenter administrator has end-to-end visibility from the virtual machine to physical storage.
Open access to a set of de-facto industry standard APIs including Amazon S3, OpenStack Swift, etc. are essential for such a virtualization solution. The fosters and open development community for delivery of global data and automation services. This would be a great benefit not only for the enterprise, but for the many startups because it gives them an open underlying platform to leverage – so can extend and build cool new data services on top this and gives them ability to gain the value of the data services as well. And, when you can Write Once, Run Everywhere using data services – you gain ultimate freedom, flexibility – and most importantly choice.
Standard interfaces, such as RESTful API, for both the data path and the control path provide the essence of choice we discussed earlier. With such broad and open API support, any API-driven storage requirement from private, public or hybrid clouds can be handled. And, it enables you to use your own referred management tool of choice. Developers can write applications to multiple cloud APIs and execute those workloads on the virtualization platform in an enterprise data center or a service provider’s cloud.
What’s now meant with “software-defined storage”? Block, file and object storage are DEFINED in software as global data services. Specifically, those File and block data services at the data plane provide all the functionality of physical block and file storage arrays. Block and file data services allows users to manage block volume, NFS file systems or CIFS shares, and provide advanced protection services such as snapshots, cloning, and replication. Block and file data services offer full storage functionality as if the user were accessing a physical array. And since file and block services don’t operate in the data path, users retain and can leverage all the unique attributes of the underlying block and file arrays, yet also get all the benefits of centralized provisioning, management, reporting, self-service access etc. But applications access file and block data directly. So, all block and file data services should deliver operational simplicity and maintainall the advanced features of the arrays such as mirrors, clones, snapshots, and multi-site high-availability, and replication. Like Object, any storage service can become a Global Data Service.
Today, cloud based apps are fundamentally different and built in a completely different way. Rather than being written at a very low level, they are increasingly written using new frameworks and require a cloud scale architecture to manage the volume and demands of these applications. This is essentially a higher level paradigm, one that focuses on simplicity and component reuse. In the Java world, more than 50% of ALL the applications running today are written with Spring. But it is not limited to Java: emerging languages are all based on frameworks – Rails for Ruby, Node.js for Java Script, Grails, etc. The development process for these kinds of apps is also very different: rather than being 9 month development cycles, they tend to have rapid iterations allowed by this new paradigm: they are developed, tweaked, deployed, tweaked, deployed, etc. This has implications for the kinds of technologies being used. Web, mobile and cloud applications written with these new frameworks only care about byte streams and metadata. The file system construct is overkill and a poor architectural fit. Object-based storage accessible via a REST API is ideally suited to these new applications. Together, these trends are driving a real transition to API-driven storage.
Block and file storage functionality are basic data services. But additional data services, that can span across heterogeneous arrays, can be incorporated. These global data services extend additional storage functionality to the underlying arrays. For instance, an Object Data Service could provides the abilityto store, access and manipulate unstructured data (e.g. images, video, audio, online documents) as objects on file-based storage without having to rewrite or rework existing file-based applications. Such anObjectData Service is a software layer that works transparently with different hardware platforms. I.e., the virtualization platform accommodates short development cycles of new developed applications. By building Object as a Data service, all the underlying file arrays will have the ability to store objects and access them as files or objects. As an example, an enterprise can ingest objects from a REST-based cloud application directly into a traditional or scale-out NAS filer. A file-based application written to that file system can then access and manipulate those objects as files and save them as objects. As a result, the enterprise can access the same data from a REST-based application and a file-based application without having to move or copy the data or recode applications. The object data service provides a different semantic view of the same data. The application owner toggles between “object mode” and “file mode”. When in object mode, access is through the virtualization platform (means it is in the data path) and has all the capabilities, performance and qualities of object. When in file mode, the file-based application accesses the data directly (means the virtualization platformn is not in the data path in file mode). Enterprises get the flexibility and simplicity of object-base storage and REST-based access while maintaining all the enterprise-class features of a traditional or scale-out NAS – replication, snapshots, etc. And, critically, they don’t have to move data or recode applications. Another scenario would be HDFS, which is becoming increasingly popular as a file system layer for distributed applications, beyond Hadoop. This allows customers to scale analytics beyond appliances. Today, to do analytics on data – it is necessary to copy the data to an Hadoop appliance. The issue is that data is heavy and you want your data where your compute is. Same with analytics – want data close to analytics engine. The problem sometimes is getting data over to appliance. With such an virtualization platform , an HDFS data service set up on those arrays, and in-place analytics can be done across the environment. So, the processing is done on the worker node where the data resides without unnecessarily traversing the network and thereby reducing backbone traffic. This opens up a huge opportunity in the Big Data place by providing hyper scale analytics across heterogeneous platforms within existing environments.
Software-Defined Storage moves the needle in the right direction for true storage virtualization.
EMC can help you lead your transformation.
That’s why we developed EMC ViPR, our Software-Defined Storage……