This document discusses how System z mainframes provide a better business cloud platform compared to other options. It highlights key cloud requirements like scalability, resilience, elasticity and security that System z addresses through its virtualization, Parallel Sysplex clustering, and other features. Examples are given of organizations successfully using System z in infrastructure (IaaS), platform (PaaS), and software (SaaS) cloud models to gain benefits like simplified management, high availability, energy efficiency and operational efficiency.
This document discusses running Linux on IBM System z mainframe computers. It begins with a brief history and introduction to zLinux, including how it originated from separate efforts to port Linux to IBM's largest servers. The document then covers topics like the benefits of virtualization, server consolidation, and integrated Linux processors on System z mainframes. It also lists several popular Linux distributions that run on zLinux and the benefits these provide, such as cost savings through reduced software licensing fees, energy costs, facilities needs, and improved productivity.
Excellent slides on the new z13s announced on 16th Feb 2016Luigi Tommaseo
The document discusses new features and capabilities of the IBM z13s mainframe system. Key points include:
- The z13s provides greater scale for Linux and z/OS workloads compared to previous models, with up to 2x increase in memory and I/O bandwidth.
- It features capabilities like simultaneous multi-threading, vector processing, faster encryption, and improved compression to accelerate analytics and security workloads.
- The system is designed to support hybrid cloud, blockchain, APIs, analytics, and security initiatives through integration with Linux on zSystems, IBM Cloud, and other platforms and services.
This article introduces LAMP software stack on zLinux (Linux on IBM System z). Let’s call it zLAMP. We will delve into configuring and starting up individual components of zLAMP and then downloading, installing and testing few LAMP based off the shelf open source applications
Lots of ways to look at cloud computing. With System zEnterprise, you should be able to reduce your costs, reduce your risks, improve security and resilience and have investment protection for the future. See how.
The document summarizes the advantages of IBM LinuxONE systems over traditional x86 servers for running Linux workloads. LinuxONE systems provide massive scale with high performance, throughput, and security across many workloads like MongoDB, Docker containers, and virtual machines. They also have significantly lower total cost of ownership compared to solutions on x86 servers due to higher utilization rates and lower management costs.
The document discusses IBM's LinuxONE system for running Linux workloads. It introduces the IBM LinuxONE Emperor system, which:
- Can run up to 8,000 virtual Linux servers on a single system with 141 configurable cores, providing high performance and scalability.
- Offers exceptional availability, security, and reliability for critical applications through features like redundancy, fault tolerance, and dedicated cryptographic processors.
- Provides an efficient, flexible infrastructure that allows organizations to run Linux workloads at lower cost compared to other solutions like public cloud.
IBM provides an open and standards-based approach to cloud management for Linux on IBM zSystems and LinuxONE. This includes supporting Infrastructure as a Service (IaaS) via the open source OpenStack platform. IBM is committed to OpenStack and contributes drivers and platform support to upstream OpenStack projects. Currently IBM offers an OpenStack-enabled appliance for zSystems that provides OpenStack APIs without additional charge. IBM's strategy is to enable the OpenStack APIs on zSystems and LinuxONE platforms to allow for cross-cloud management and orchestration.
The document discusses how Linux applications can be consolidated and migrated from physical x86 servers to virtual servers running on IBM System z mainframe servers. It describes how the IBM z/VM hypervisor allows a single System z server to run hundreds of Linux virtual machines. Using virtualization provides benefits like reduced costs, improved efficiency, and the ability to quickly deploy new applications. The document also outlines tools like IBM VMControl Image Manager and CSL-Wave that simplify managing the Linux virtual machines and hidden the complexity of the z/VM environment.
This document discusses running Linux on IBM System z mainframe computers. It begins with a brief history and introduction to zLinux, including how it originated from separate efforts to port Linux to IBM's largest servers. The document then covers topics like the benefits of virtualization, server consolidation, and integrated Linux processors on System z mainframes. It also lists several popular Linux distributions that run on zLinux and the benefits these provide, such as cost savings through reduced software licensing fees, energy costs, facilities needs, and improved productivity.
Excellent slides on the new z13s announced on 16th Feb 2016Luigi Tommaseo
The document discusses new features and capabilities of the IBM z13s mainframe system. Key points include:
- The z13s provides greater scale for Linux and z/OS workloads compared to previous models, with up to 2x increase in memory and I/O bandwidth.
- It features capabilities like simultaneous multi-threading, vector processing, faster encryption, and improved compression to accelerate analytics and security workloads.
- The system is designed to support hybrid cloud, blockchain, APIs, analytics, and security initiatives through integration with Linux on zSystems, IBM Cloud, and other platforms and services.
This article introduces LAMP software stack on zLinux (Linux on IBM System z). Let’s call it zLAMP. We will delve into configuring and starting up individual components of zLAMP and then downloading, installing and testing few LAMP based off the shelf open source applications
Lots of ways to look at cloud computing. With System zEnterprise, you should be able to reduce your costs, reduce your risks, improve security and resilience and have investment protection for the future. See how.
The document summarizes the advantages of IBM LinuxONE systems over traditional x86 servers for running Linux workloads. LinuxONE systems provide massive scale with high performance, throughput, and security across many workloads like MongoDB, Docker containers, and virtual machines. They also have significantly lower total cost of ownership compared to solutions on x86 servers due to higher utilization rates and lower management costs.
The document discusses IBM's LinuxONE system for running Linux workloads. It introduces the IBM LinuxONE Emperor system, which:
- Can run up to 8,000 virtual Linux servers on a single system with 141 configurable cores, providing high performance and scalability.
- Offers exceptional availability, security, and reliability for critical applications through features like redundancy, fault tolerance, and dedicated cryptographic processors.
- Provides an efficient, flexible infrastructure that allows organizations to run Linux workloads at lower cost compared to other solutions like public cloud.
IBM provides an open and standards-based approach to cloud management for Linux on IBM zSystems and LinuxONE. This includes supporting Infrastructure as a Service (IaaS) via the open source OpenStack platform. IBM is committed to OpenStack and contributes drivers and platform support to upstream OpenStack projects. Currently IBM offers an OpenStack-enabled appliance for zSystems that provides OpenStack APIs without additional charge. IBM's strategy is to enable the OpenStack APIs on zSystems and LinuxONE platforms to allow for cross-cloud management and orchestration.
The document discusses how Linux applications can be consolidated and migrated from physical x86 servers to virtual servers running on IBM System z mainframe servers. It describes how the IBM z/VM hypervisor allows a single System z server to run hundreds of Linux virtual machines. Using virtualization provides benefits like reduced costs, improved efficiency, and the ability to quickly deploy new applications. The document also outlines tools like IBM VMControl Image Manager and CSL-Wave that simplify managing the Linux virtual machines and hidden the complexity of the z/VM environment.
Virtualization allows organizations to more efficiently utilize existing IT infrastructure by abstracting computing resources from physical hardware. It enables cost savings through hardware consolidation, increased flexibility to deploy new servers faster, and improved disaster recovery capabilities. Virtualization technologies include server, desktop, and application virtualization which abstract different levels of the computing stack.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially only supported Python but now also supports Java. Users can deploy standard Java web applications to Google App Engine, which will handle the infrastructure. This provides scalability without upfront costs.
This document provides a brief history of IBM mainframe systems from the 1960s to present day. It discusses the introduction of the System/360 in 1964 which established the mainframe as a platform for business applications. Subsequent systems like the System/370 expanded capabilities with multiprocessors and virtual memory. The zSeries mainframes of the 2000s enhanced performance and scalability with innovations like 64-bit architecture and logical partitioning. The latest z9-109 mainframe supports up to 54 processors and 512GB of memory. The document also lists some technologies and software commonly used on mainframes.
virtualization tutorial at ACM bangalore Compute 2009ACMBangalore
This document summarizes a tutorial on the hardware revolution in server virtualization. It begins with an overview of server virtualization technologies including VMM architectures and the criteria for a processor to be virtualizable. It then discusses the challenges of virtualizing x86 processors due to their architecture. The document outlines software techniques like binary translation and para-virtualization used for CPU, memory, and I/O virtualization. It also reviews hardware techniques enabled by technologies like VT-x, EPT, and SR-IOV. The summary concludes with a brief discussion of future trends in manageability and security relating to server virtualization.
Focus Group Open Source 09.05.2011 Massimiliano BelardiRoberto Galoppini
- IBM is a major contributor to Linux kernel development and is committed to Linux and open source. Linux brings choice and flexibility for datacenters to scale their businesses.
- Linux on IBM System z mainframes provides a pure ASCII environment that does not require another OS and supports high levels of virtualization. It is the most efficient platform for large-scale Linux consolidation.
- The IBM zEnterprise 196 system unifies management of resources across workloads and platforms. It is optimized for large databases, transactions, and mission-critical applications, and can consolidate tens of thousands of applications.
Businesses demand IT solutions that are relevant, reliable and faster than ever. Infrastructure and business-specific workloads proliferate as companies grow and address new market needs. The result for data centers is increased server acquisition, expanded storage, new databases, increased floor space and more power consumption.
Complexity can work its way into any IT infrastructure, driven by the rollout of new applications and unanticipated change. However, adding servers in response to each demand for new workloads drives the need for more datacenter space, power, cooling, network cabling, data storage
The document introduces the new IBM z13 mainframe. It was designed from the ground up for digital business to excel in three areas: as the world's premier data and transaction engine for mobile; to deliver in-transaction analytics for real-time insights; and to be the most efficient and trusted cloud system. The z13 is presented as helping organizations address trends in cloud, big data, mobile, devops, and security by taking mainframe technologies to a new level.
Virtualization allows multiple operating systems and applications to run on the same server simultaneously, improving hardware utilization. It reduces IT costs while increasing efficiency and flexibility. Virtualization provides hardware independence so operating systems and applications can run on any system, and virtual machines can be easily provisioned and managed.
IBM Cloud Manager with OpenStack provides an easy to deploy and manage private and hybrid cloud platform based on OpenStack. It features automated installation, integrated management through a single dashboard, and improved ROI through superior resource scheduling and a self-service portal. The solution supports heterogeneous infrastructure across IBM and x86 servers and major hypervisors. It also provides seamless hybrid cloud capabilities and access to OpenStack APIs while being backed by IBM support.
This document summarizes different virtualization techniques and cloud computing. It discusses full virtualization, OS-level virtualization, paravirtualization, and hardware-assisted virtualization. It then defines cloud computing and discusses concerns about security, performance, and maturity. Specific cloud services from Amazon Web Services are outlined, including Elastic Compute Cloud (EC2) for computing instances, Elastic Block Storage (EBS), and Simple Storage Service (S3) for storage.
Virtualization allows multiple operating systems to run on a single physical machine by dividing the machine's resources among virtual environments. Cloud computing takes virtualization further by allowing users to rent computing resources from large data centers as needed rather than owning their own hardware. This allows users to pay only for the resources they use and scale up or down easily based on demand. Virtualization and cloud computing provide benefits like cost control, business agility, and reducing the need for companies to manage their own IT infrastructure.
This document outlines a live demo of IBM PureFlex System capabilities including consolidation, optimization, and acceleration. The demo will showcase integrated systems management through a single pane of glass to manage servers, storage, networking and virtualization. It will demonstrate increasing resource utilization through enhanced virtualization management including automated workload failover. The objective is to demonstrate how clients can reduce expenses through consolidation and integration while improving performance, scalability, reliability and accelerating cloud environments.
1. The document describes an IBM solution for building a private Microsoft Hyper-V cloud using IBM System x3650 M3 servers and IBM XIV Storage.
2. Key components include the IBM System x3650 M3 servers for the management and production layers, IBM XIV Storage for highly reliable and scalable storage, and IBM switches for a fault-tolerant converged networking framework.
3. Using Microsoft Hyper-V, System Center, and IBM solutions allows organizations to realize benefits like higher resource utilization, agile IT environments, and associating billing metrics to resources.
The document discusses private cloud and VCE infrastructure packages. It explains that VCE is a coalition between Cisco, EMC and VMware to accelerate virtualization and private cloud deployments through pre-integrated and tested solutions. It provides an overview of VCE's Vblock infrastructure packages which deliver standardized and predictable IT infrastructure as a service.
This document discusses cloud computing concepts including cloud characteristics, architectural layers, infrastructure models, and virtualization. It focuses on the cloud ecosystem including cloud consumers, management, virtual infrastructure management using tools like OpenNebula, and virtual machine managers like Xen and KVM. OpenNebula is described as providing a unified view of virtual resources across platforms and managing VM lifecycles through orchestrating image, network, and hypervisor management.
This document describes Remus, a software system that provides high availability for virtual machines by asynchronously replicating the state of a primary virtual machine to a backup virtual machine every 25 milliseconds. Remus allows unmodified operating systems and applications to survive hardware failures with only a few seconds of downtime by transparently migrating the running virtual machine to the backup if the primary fails. It improves on previous approaches by using speculative execution to allow the primary to run ahead of the replicated state on the backup, increasing performance.
This document provides an introduction to cloud computing. It discusses how cloud computing allows for more efficient and scalable computing through on-demand access to shared resources over the Internet. Key aspects covered include public and private cloud models, enabling technologies like virtualization, and cloud service layers like SaaS, PaaS, and IaaS. The document outlines benefits like reduced costs, increased flexibility, and how virtualization is a core technology powering cloud architectures.
Virtualization allows organizations to more efficiently utilize existing IT infrastructure by abstracting computing resources from physical hardware. It enables cost savings through hardware consolidation, increased flexibility to deploy new servers faster, and improved disaster recovery capabilities. Virtualization technologies include server, desktop, and application virtualization which abstract different levels of the computing stack.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially only supported Python but now also supports Java. Users can deploy standard Java web applications to Google App Engine, which will handle the infrastructure. This provides scalability without upfront costs.
This document provides a brief history of IBM mainframe systems from the 1960s to present day. It discusses the introduction of the System/360 in 1964 which established the mainframe as a platform for business applications. Subsequent systems like the System/370 expanded capabilities with multiprocessors and virtual memory. The zSeries mainframes of the 2000s enhanced performance and scalability with innovations like 64-bit architecture and logical partitioning. The latest z9-109 mainframe supports up to 54 processors and 512GB of memory. The document also lists some technologies and software commonly used on mainframes.
virtualization tutorial at ACM bangalore Compute 2009ACMBangalore
This document summarizes a tutorial on the hardware revolution in server virtualization. It begins with an overview of server virtualization technologies including VMM architectures and the criteria for a processor to be virtualizable. It then discusses the challenges of virtualizing x86 processors due to their architecture. The document outlines software techniques like binary translation and para-virtualization used for CPU, memory, and I/O virtualization. It also reviews hardware techniques enabled by technologies like VT-x, EPT, and SR-IOV. The summary concludes with a brief discussion of future trends in manageability and security relating to server virtualization.
Focus Group Open Source 09.05.2011 Massimiliano BelardiRoberto Galoppini
- IBM is a major contributor to Linux kernel development and is committed to Linux and open source. Linux brings choice and flexibility for datacenters to scale their businesses.
- Linux on IBM System z mainframes provides a pure ASCII environment that does not require another OS and supports high levels of virtualization. It is the most efficient platform for large-scale Linux consolidation.
- The IBM zEnterprise 196 system unifies management of resources across workloads and platforms. It is optimized for large databases, transactions, and mission-critical applications, and can consolidate tens of thousands of applications.
Businesses demand IT solutions that are relevant, reliable and faster than ever. Infrastructure and business-specific workloads proliferate as companies grow and address new market needs. The result for data centers is increased server acquisition, expanded storage, new databases, increased floor space and more power consumption.
Complexity can work its way into any IT infrastructure, driven by the rollout of new applications and unanticipated change. However, adding servers in response to each demand for new workloads drives the need for more datacenter space, power, cooling, network cabling, data storage
The document introduces the new IBM z13 mainframe. It was designed from the ground up for digital business to excel in three areas: as the world's premier data and transaction engine for mobile; to deliver in-transaction analytics for real-time insights; and to be the most efficient and trusted cloud system. The z13 is presented as helping organizations address trends in cloud, big data, mobile, devops, and security by taking mainframe technologies to a new level.
Virtualization allows multiple operating systems and applications to run on the same server simultaneously, improving hardware utilization. It reduces IT costs while increasing efficiency and flexibility. Virtualization provides hardware independence so operating systems and applications can run on any system, and virtual machines can be easily provisioned and managed.
IBM Cloud Manager with OpenStack provides an easy to deploy and manage private and hybrid cloud platform based on OpenStack. It features automated installation, integrated management through a single dashboard, and improved ROI through superior resource scheduling and a self-service portal. The solution supports heterogeneous infrastructure across IBM and x86 servers and major hypervisors. It also provides seamless hybrid cloud capabilities and access to OpenStack APIs while being backed by IBM support.
This document summarizes different virtualization techniques and cloud computing. It discusses full virtualization, OS-level virtualization, paravirtualization, and hardware-assisted virtualization. It then defines cloud computing and discusses concerns about security, performance, and maturity. Specific cloud services from Amazon Web Services are outlined, including Elastic Compute Cloud (EC2) for computing instances, Elastic Block Storage (EBS), and Simple Storage Service (S3) for storage.
Virtualization allows multiple operating systems to run on a single physical machine by dividing the machine's resources among virtual environments. Cloud computing takes virtualization further by allowing users to rent computing resources from large data centers as needed rather than owning their own hardware. This allows users to pay only for the resources they use and scale up or down easily based on demand. Virtualization and cloud computing provide benefits like cost control, business agility, and reducing the need for companies to manage their own IT infrastructure.
This document outlines a live demo of IBM PureFlex System capabilities including consolidation, optimization, and acceleration. The demo will showcase integrated systems management through a single pane of glass to manage servers, storage, networking and virtualization. It will demonstrate increasing resource utilization through enhanced virtualization management including automated workload failover. The objective is to demonstrate how clients can reduce expenses through consolidation and integration while improving performance, scalability, reliability and accelerating cloud environments.
1. The document describes an IBM solution for building a private Microsoft Hyper-V cloud using IBM System x3650 M3 servers and IBM XIV Storage.
2. Key components include the IBM System x3650 M3 servers for the management and production layers, IBM XIV Storage for highly reliable and scalable storage, and IBM switches for a fault-tolerant converged networking framework.
3. Using Microsoft Hyper-V, System Center, and IBM solutions allows organizations to realize benefits like higher resource utilization, agile IT environments, and associating billing metrics to resources.
The document discusses private cloud and VCE infrastructure packages. It explains that VCE is a coalition between Cisco, EMC and VMware to accelerate virtualization and private cloud deployments through pre-integrated and tested solutions. It provides an overview of VCE's Vblock infrastructure packages which deliver standardized and predictable IT infrastructure as a service.
This document discusses cloud computing concepts including cloud characteristics, architectural layers, infrastructure models, and virtualization. It focuses on the cloud ecosystem including cloud consumers, management, virtual infrastructure management using tools like OpenNebula, and virtual machine managers like Xen and KVM. OpenNebula is described as providing a unified view of virtual resources across platforms and managing VM lifecycles through orchestrating image, network, and hypervisor management.
This document describes Remus, a software system that provides high availability for virtual machines by asynchronously replicating the state of a primary virtual machine to a backup virtual machine every 25 milliseconds. Remus allows unmodified operating systems and applications to survive hardware failures with only a few seconds of downtime by transparently migrating the running virtual machine to the backup if the primary fails. It improves on previous approaches by using speculative execution to allow the primary to run ahead of the replicated state on the backup, increasing performance.
This document provides an introduction to cloud computing. It discusses how cloud computing allows for more efficient and scalable computing through on-demand access to shared resources over the Internet. Key aspects covered include public and private cloud models, enabling technologies like virtualization, and cloud service layers like SaaS, PaaS, and IaaS. The document outlines benefits like reduced costs, increased flexibility, and how virtualization is a core technology powering cloud architectures.
This document provides an introduction to cloud computing. It discusses how cloud computing allows computing resources and data to be accessed over the Internet. Key benefits include improved efficiency, massive scalability, and faster software development. Cloud computing utilizes virtualization, automation, and on-demand services. Resources can be public, private, or hybrid. Services are provided at the software, platform, and infrastructure levels.
PowerVM is IBM's virtualization technology for its Power Systems servers. It allows consolidating multiple workloads onto a single physical server through logical partitioning. A comparison of PowerVM and x86 virtualization shows that PowerVM achieves higher performance and resource utilization. Industry-standard benchmarks like TPC-C and SAP SD 2-tier show PowerVM maintaining or exceeding native performance levels, while x86 systems see performance decreases with virtualization. PowerVM's tight integration with the Power hardware and firmware delivers benefits like stronger isolation, scalability, and availability compared to software-based x86 virtualization.
Virtualization technologies allow IT organizations to consolidate workloads running on multiple operating systems and software stacks and allocate platform resources dynamically to meet specific business and application requirements. Leadership virtualization has become the key technology to efficiently deploy servers in enterprise data centers to drive down costs and become the foundation for server pools and cloud computing technology. Therefore, the performance of this foundation technology is critical for the success of server pools and cloud computing.
VMware ESX Server uses several novel techniques to efficiently manage memory resources across virtual machines:
1. A "ballooning" technique reclaims pages considered least valuable by the guest operating system in a virtual machine.
2. An "idle memory tax" achieves efficient memory utilization while maintaining performance isolation between virtual machines.
3. Content-based page sharing and hot I/O page remapping eliminate redundancy and reduce copying overheads by transparently remapping identical pages between virtual machines.
These techniques allow overcommitting of memory resources across virtual machines while still providing performance guarantees. They are coordinated by allocation policies that dynamically assign memory based on workload and system load.
Cloud computing -- a technology that “enables on-demand utilization of a shared, infinite amount of compute resources or computing power via the Internet” -- is fast becoming mainstream.
“Cost savings, reduced time to market, and rapid ROI -- these are three key factors that IT and business executives alike cite when asked about the value of cloud computing,” says Winston Damarillo, chief executive officer for G2iX, in reference to the results of the discussions among CIOs and CTOs of global enterprises located in Manila and Cebu.
Ironfan is the foundation for your Big Data stack, making provisioning and configuring your Big Data infrastructure simple. Spin up clusters when you need them, kill them when you don't, so you can spend your time, money, and engineering focus on finding insights, not getting your machines ready.
Learn more at http://infochimps.com
Virtualization: Introduction, Characteristics of Virtualized Environment, Taxonomy of Virtualization Techniques, Virtualization and Cloud computing, Pros and Cons of Virtualization, Technology Examples- VMware and Microsoft Hyper-V.
The document provides an overview of IBM's Starter Kit for Cloud x86 Edition and BladeCenter Foundation for Cloud solutions. It highlights key benefits such as providing a comprehensive, converged integration platform for private cloud with tools for self-service provisioning, rapid deployment, resource management and metering. The solutions aim to help customers accelerate time to market, free up employees' time, and cut costs by increasing infrastructure efficiency.
Red Hat Enterprise Linux Advanced Platform provides a complete open source virtualization solution with fully integrated server and storage virtualization capabilities. It allows unlimited guest operating systems and applications to run concurrently on a single physical server with consistent storage access. Advanced Platform also provides live migration, high availability clustering, and centralized management of virtualized environments.
The road to Cloud Computing is not without a few bumps. This session will help to smooth out your journey by tackling some of the potential complications. We’ll examine whether standardization is a prerequisite for the Cloud. We’ll look at why refactoring isn’t just for application code. We’ll check out deployable entities and their simplification via higher levels of abstraction. And we’ll close out the session with a look at engineered systems and modular clouds.
(As presented by Dr. James Baty at Oracle Technology Network Architect Day in Chicago, October 24, 2011.)
Cloud computing allows users to access shared computing resources over the internet. It utilizes virtualization which involves partitioning physical resources and allocating them to virtual machines. This improves resource utilization, enables multi-tenancy, and makes resources scalable and flexible. Virtualization allows multiple operating systems and applications to run concurrently on a single physical server through virtual machines. It provides benefits like hardware independence, migration of virtual machines, and better fault isolation. Security challenges in virtualized cloud environments include issues around scaling, diversity, identity management and sensitive data lifetime.
IAPP Atlanta Chapter Meeting 2013 FebruaryPhil Agcaoili
The document discusses cloud assurance basics and provides an overview of cloud computing concepts, models, and security concerns. It outlines key legal and privacy issues to consider regarding data location, applicable laws and regulations. It also summarizes the latest developments in cloud security standards and frameworks, including the Cloud Security Alliance's Cloud Controls Matrix, Consensus Assessments Initiative, Security, Trust and Assurance Registry, and Open Certification Framework.
The document summarizes key aspects of cloud computing implementation. It discusses benefits like instant availability, unlimited capacity, and dramatic cost reduction provided by cloud computing. It also describes different types of cloud deployments like public, private and hybrid clouds. Additionally, it outlines important considerations and building blocks for organizations to adopt cloud technologies like open source tools, virtualization, infrastructure tools, and choosing solutions that allow flexibility and efficiency through standards.
This document discusses the benefits of virtualizing business critical applications. It argues that virtualization improves efficiency by reducing application costs through better utilization and automation. It also improves application quality of service by providing higher availability and better service levels. Finally, virtualization accelerates the application lifecycle by enabling faster provisioning and testing. The document provides examples of how virtualization has helped customers consolidate servers, licenses, improve availability, simplify disaster recovery, and streamline testing for applications like databases, email, and enterprise software.
This document summarizes VMware's Cloud Application Platform and its components. It discusses how VMware focuses on re-thinking end-user computing, modernizing application development, and evolving core infrastructure. It also outlines how vFabric helps build, run, and scale applications in the cloud through frameworks, services, and infrastructure components. Finally, it introduces Cloud Foundry as a platform as a service for deploying and scaling applications in the cloud era.
This document discusses two ArcGIS applications deployed in the cloud by the Forest Health Technology Enterprise Team (FHTET). A public Forest Pest Conditions Viewer application allows users to explore forest pest impact data. A secured Disturbance Mapper application uses remote sensing data to identify disturbed forest areas and enable analysis of the causes and effects of disturbances. Both applications were built with ArcGIS Server 10 and deployed to Amazon Web Services, demonstrating how custom ArcGIS applications can be quickly deployed to the cloud.
This document discusses two ArcGIS applications deployed in the cloud by the Forest Health Technology Enterprise Team (FHTET). A public Forest Pest Conditions Viewer application allows users to explore forest pest impact data. A secured Disturbance Mapper application uses remote sensing data to identify disturbed forest areas and enable analysis of the causes and effects of disturbances. Both applications were built with ArcGIS Server 10 and deployed to Amazon Web Services for scalability and convenience.
Cloud computing allows for on-demand access to shared computing resources like networks, servers, storage, applications and services. It provides accessibility, agility and flexibility through rapid provisioning and releasing of resources with minimal management effort. Some key aspects of cloud computing include virtualization, multi-tenancy, broad network access, resource pooling and measured service. Cloud computing is changing the nature of IT by moving computing resources from local desktops and data centers to the internet.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!