Cloud computing introduced with emphasis on the underlying technology explaining that more than virtualization is involved. Topics covered include: Cloud Technologies, Web Applications, Clustering, Terminal Services, Application Servers, Virtualization, Hypervisors, Service Models, Deployment Models, and Cloud Security.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud computing allows companies to access computing resources like virtual machines, storage, and applications over the internet rather than maintaining their own infrastructure. It has several types including public, private, and hybrid clouds that provide services through software, platforms, and infrastructure as a service models. Cloud computing provides important benefits like reduced costs, increased storage, flexibility, availability during disasters, and lower environmental impact. However, it also presents disadvantages regarding data security, recovery, and compliance with regulations.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It allows users to access applications from anywhere using a web browser. Cloud computing offers advantages like cost savings, speed, security, unlimited storage and access to data from anywhere. While cloud services like AWS have become very popular, cloud computing also presents risks like security vulnerabilities and inconsistent performance on shared infrastructure. The growth of cloud computing is impacting IT jobs by creating new roles while reducing needs for some traditional IT positions.
Cloud computing is a general term for networked services and resources provided over the internet. It allows users to access computing power, databases, and applications remotely through web services. Key characteristics include on-demand access to computing resources, elasticity to scale up or down based on needs, and a pay-as-you-go model where users only pay for what they use. Common cloud service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Virtualization is a core technology enabling cloud computing by allowing multiple virtual machines to run on a single physical machine. Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Cloud computing provides on-demand access to shared computing resources and infrastructure over the Internet. It refers to services delivered on-demand via the Internet from large pools of systems that are linked together. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing architecture consists of a front end accessed by users and a back end of servers and storage that create the "cloud" of computing services.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud computing allows companies to access computing resources like virtual machines, storage, and applications over the internet rather than maintaining their own infrastructure. It has several types including public, private, and hybrid clouds that provide services through software, platforms, and infrastructure as a service models. Cloud computing provides important benefits like reduced costs, increased storage, flexibility, availability during disasters, and lower environmental impact. However, it also presents disadvantages regarding data security, recovery, and compliance with regulations.
A brief introduction , relevance, and significance of cloud computing with different types of platforms and services have been highlighted in the presentation.
Cloud computing refers to applications and services delivered over the internet through cloud services and infrastructure. There are different cloud service models including SaaS, PaaS, and IaaS. Cloud deployment models include private, public, hybrid, and community clouds. Cloud computing provides benefits like cost savings, scalability, reliability, and mobile access, but also poses challenges regarding security, continuous evolution, and lack of standards.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Speaker: Tom Whateley, Solutions Architect and Stephanie Zieno, Account Manager, Amazon Web Services
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It allows users to access applications from anywhere using a web browser. Cloud computing offers advantages like cost savings, speed, security, unlimited storage and access to data from anywhere. While cloud services like AWS have become very popular, cloud computing also presents risks like security vulnerabilities and inconsistent performance on shared infrastructure. The growth of cloud computing is impacting IT jobs by creating new roles while reducing needs for some traditional IT positions.
Cloud computing is a general term for networked services and resources provided over the internet. It allows users to access computing power, databases, and applications remotely through web services. Key characteristics include on-demand access to computing resources, elasticity to scale up or down based on needs, and a pay-as-you-go model where users only pay for what they use. Common cloud service models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Virtualization is a core technology enabling cloud computing by allowing multiple virtual machines to run on a single physical machine. Major cloud providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Cloud computing provides on-demand access to shared computing resources and infrastructure over the Internet. It refers to services delivered on-demand via the Internet from large pools of systems that are linked together. There are different types of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Cloud computing architecture consists of a front end accessed by users and a back end of servers and storage that create the "cloud" of computing services.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
- Virtualization allows multiple operating systems to run concurrently on a single physical machine by presenting each virtual operating system with a virtual hardware environment. A hypervisor manages access to the physical hardware resources and isolates the virtual machines.
- Cloud computing extends virtualization by allowing virtual servers and other resources to be dynamically provisioned on demand from large shared computing infrastructure. This improves flexibility and allows users to pay only for resources that are consumed.
- The hypervisor software manages the virtual machines and allocates physical resources to each one while isolating them from each other. Example hypervisors include VMware, Xen, and KVM. Virtualization improves hardware utilization and makes infrastructure more flexible and cost-effective.
The document discusses cloud computing, including its advantages of lower costs, pay-as-you-go computing, elasticity and scalability. It describes cloud computing models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses major cloud computing vendors and the growing worldwide cloud services revenue.
This document is a seminar report on cloud computing submitted by Binesh Kr. Singh in partial fulfillment of a master's degree. It defines cloud computing, discusses different cloud service models including SaaS, IaaS, PaaS, and deployment models. It covers advantages like reduced costs, accessibility, and flexibility. Disadvantages discussed include security, vendor lock-in, and downtime. Examples are provided for each cloud service model. The report concludes that cloud computing is transforming IT and businesses can realize value through proper planning and migration services.
Cloud Computing - Technologies and TrendsMarcelo Sávio
This document provides an overview of cloud computing, including definitions of cloud service models (IaaS, PaaS, SaaS), deployment options (private, public, hybrid clouds), characteristics of cloud computing, major factors driving adoption of cloud computing, and trends in cloud adoption among organizations. Key trends discussed include the growth of cloud services, increasing utilization of cloud technologies by enterprises, and different motivations for cloud adoption between IT and business users.
One can Study the key concept of Virtualization, its types, why Virtualization and what are the use cases and Benefits of Virtualization and example of Virtualization.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
SDDC is the modern approach in implementing and managing cloud data centers. Software-defined data center technology helps attain new levels of infrastructure utilization and staff productivity, substantially reducing both capital expenditures and operating costs. Enabling deployment of applications in minutes or even seconds with policy-driven provisioning that dynamically matches resources to continually changing workloads and business demands.
This document discusses cloud computing, defining it as storing and accessing data and programs over the Internet instead of a computer's hard drive. It describes the types of cloud computing including public, private, hybrid, and community clouds. The advantages of cloud computing are reduced costs, increased storage, flexibility, mobility, and automation. Potential applications include word processing, customized programs, and data storage. The document also outlines some disadvantages like being unable to access the cloud without an Internet connection.
Pranav Vashistha presented on cloud computing. He discussed basic concepts like traditional on-premise computing versus cloud computing. He covered first movers in cloud like Amazon, Google, and Microsoft. Pranav defined cloud computing and explained its components including clients, data centers, distributed servers. He described the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Pranav also covered types of cloud, benefits like scalability and cost savings, and applications like storage and databases.
Cloud computing allows users to access software and store data on remote servers over the internet rather than locally on their own computers. It provides various services including infrastructure, platforms, and applications. Major cloud providers include Amazon Web Services which offers services like Amazon EC2 for scalable computing capacity in the cloud. Cloud computing provides advantages like reduced costs and time to access resources compared to maintaining one's own datacenter, but also risks around security and control over the infrastructure.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Introduction to Amazon Web Services (AWS)Garvit Anand
The document provides an introduction to AWS (Amazon Web Services). It discusses cloud computing basics and benefits like scalability, cost savings, and innovation. Major players in the cloud market are mentioned, with AWS identified as the current leader. The document outlines the agenda, including AWS history, current users, and getting started instructions. Key AWS concepts are explained, such as regions, availability zones, and identity and access management (IAM). IAM is described as the mechanism for controlling user permissions to AWS resources. The presentation concludes with an invitation for questions.
Cloud computing allows users to access computing resources like software, data storage, and processing power over the internet rather than maintaining and operating them locally. It provides resources on demand in a manner similar to a public utility. The document discusses the background of cloud computing including its origins in centralized mainframe systems. It outlines the key characteristics, economics, layers, types, advantages, and disadvantages of cloud computing and provides examples of cloud computing vendors and services.
This document provides an introduction to cloud computing, including definitions and types of cloud services. It discusses cloud computing in education and Malaysia. Cloud computing refers to software and hardware managed remotely by third parties and accessed over the internet. There are three main types of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Common cloud computing examples include Dropbox, Microsoft SkyDrive, Google Drive, and Apple iCloud. The document also discusses how cloud computing can benefit education through e-learning and how initiatives in Malaysia like the Shared Cloud Enterprise Services project aim to accelerate cloud adoption.
What is Virtualization and its types & Techniques.What is hypervisor and its ...Shashi soni
This PPT contains Following Topics-
1.what is virtualization?
2.Examples of virtualization.
3.Techniques of virtualization.
4.Types of virtualization.
5.What is Hipervisor.
6.Types of Hypervisor with Diagrams.
Some set of examples are there like Virtual Box with demo image.
Keynote presentation from Cloud Connect Chicago 2012 summarizing results from a joint Everest Group - Cloud Connect survey on enterprise cloud adoption
This document provides an overview of cloud computing, including its key characteristics and advantages. It discusses how cloud computing uses shared resources over the internet rather than local servers or personal devices. Examples are given of different types of cloud services, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Both advantages like low costs, scalability, and accessibility are covered as well as potential disadvantages around security and technical issues. A timeline of important developments in cloud computing is also presented.
This document discusses different virtualization techniques used for cloud computing and data centers. It begins by outlining the needs for virtualization in addressing issues like server underutilization and high power consumption in data centers. It then covers various types of virtualization including full virtualization, paravirtualization, and hardware-assisted virtualization. The document also discusses challenges of virtualizing x86 hardware and solutions like binary translation and using modified guest operating systems to enable paravirtualization. Finally, it mentions how newer CPUs support hardware virtualization to improve the efficiency and security of virtualization.
- Virtualization allows multiple operating systems to run concurrently on a single physical machine by presenting each virtual operating system with a virtual hardware environment. A hypervisor manages access to the physical hardware resources and isolates the virtual machines.
- Cloud computing extends virtualization by allowing virtual servers and other resources to be dynamically provisioned on demand from large shared computing infrastructure. This improves flexibility and allows users to pay only for resources that are consumed.
- The hypervisor software manages the virtual machines and allocates physical resources to each one while isolating them from each other. Example hypervisors include VMware, Xen, and KVM. Virtualization improves hardware utilization and makes infrastructure more flexible and cost-effective.
The document discusses cloud computing, including its advantages of lower costs, pay-as-you-go computing, elasticity and scalability. It describes cloud computing models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses major cloud computing vendors and the growing worldwide cloud services revenue.
This document is a seminar report on cloud computing submitted by Binesh Kr. Singh in partial fulfillment of a master's degree. It defines cloud computing, discusses different cloud service models including SaaS, IaaS, PaaS, and deployment models. It covers advantages like reduced costs, accessibility, and flexibility. Disadvantages discussed include security, vendor lock-in, and downtime. Examples are provided for each cloud service model. The report concludes that cloud computing is transforming IT and businesses can realize value through proper planning and migration services.
Cloud Computing - Technologies and TrendsMarcelo Sávio
This document provides an overview of cloud computing, including definitions of cloud service models (IaaS, PaaS, SaaS), deployment options (private, public, hybrid clouds), characteristics of cloud computing, major factors driving adoption of cloud computing, and trends in cloud adoption among organizations. Key trends discussed include the growth of cloud services, increasing utilization of cloud technologies by enterprises, and different motivations for cloud adoption between IT and business users.
One can Study the key concept of Virtualization, its types, why Virtualization and what are the use cases and Benefits of Virtualization and example of Virtualization.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
SDDC is the modern approach in implementing and managing cloud data centers. Software-defined data center technology helps attain new levels of infrastructure utilization and staff productivity, substantially reducing both capital expenditures and operating costs. Enabling deployment of applications in minutes or even seconds with policy-driven provisioning that dynamically matches resources to continually changing workloads and business demands.
This document discusses cloud computing, defining it as storing and accessing data and programs over the Internet instead of a computer's hard drive. It describes the types of cloud computing including public, private, hybrid, and community clouds. The advantages of cloud computing are reduced costs, increased storage, flexibility, mobility, and automation. Potential applications include word processing, customized programs, and data storage. The document also outlines some disadvantages like being unable to access the cloud without an Internet connection.
Pranav Vashistha presented on cloud computing. He discussed basic concepts like traditional on-premise computing versus cloud computing. He covered first movers in cloud like Amazon, Google, and Microsoft. Pranav defined cloud computing and explained its components including clients, data centers, distributed servers. He described the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Pranav also covered types of cloud, benefits like scalability and cost savings, and applications like storage and databases.
Cloud computing allows users to access software and store data on remote servers over the internet rather than locally on their own computers. It provides various services including infrastructure, platforms, and applications. Major cloud providers include Amazon Web Services which offers services like Amazon EC2 for scalable computing capacity in the cloud. Cloud computing provides advantages like reduced costs and time to access resources compared to maintaining one's own datacenter, but also risks around security and control over the infrastructure.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
Introduction to Amazon Web Services (AWS)Garvit Anand
The document provides an introduction to AWS (Amazon Web Services). It discusses cloud computing basics and benefits like scalability, cost savings, and innovation. Major players in the cloud market are mentioned, with AWS identified as the current leader. The document outlines the agenda, including AWS history, current users, and getting started instructions. Key AWS concepts are explained, such as regions, availability zones, and identity and access management (IAM). IAM is described as the mechanism for controlling user permissions to AWS resources. The presentation concludes with an invitation for questions.
Cloud computing allows users to access computing resources like software, data storage, and processing power over the internet rather than maintaining and operating them locally. It provides resources on demand in a manner similar to a public utility. The document discusses the background of cloud computing including its origins in centralized mainframe systems. It outlines the key characteristics, economics, layers, types, advantages, and disadvantages of cloud computing and provides examples of cloud computing vendors and services.
This document provides an introduction to cloud computing, including definitions and types of cloud services. It discusses cloud computing in education and Malaysia. Cloud computing refers to software and hardware managed remotely by third parties and accessed over the internet. There are three main types of cloud services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Common cloud computing examples include Dropbox, Microsoft SkyDrive, Google Drive, and Apple iCloud. The document also discusses how cloud computing can benefit education through e-learning and how initiatives in Malaysia like the Shared Cloud Enterprise Services project aim to accelerate cloud adoption.
What is Virtualization and its types & Techniques.What is hypervisor and its ...Shashi soni
This PPT contains Following Topics-
1.what is virtualization?
2.Examples of virtualization.
3.Techniques of virtualization.
4.Types of virtualization.
5.What is Hipervisor.
6.Types of Hypervisor with Diagrams.
Some set of examples are there like Virtual Box with demo image.
Keynote presentation from Cloud Connect Chicago 2012 summarizing results from a joint Everest Group - Cloud Connect survey on enterprise cloud adoption
This document provides an overview of cloud computing, including its key characteristics and advantages. It discusses how cloud computing uses shared resources over the internet rather than local servers or personal devices. Examples are given of different types of cloud services, including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Both advantages like low costs, scalability, and accessibility are covered as well as potential disadvantages around security and technical issues. A timeline of important developments in cloud computing is also presented.
Trends und Anwendungsbeispiele im Life Science BereichAWS Germany
This document provides an agenda and objectives for an AWS meeting at Cognizant in January 2017. It discusses challenges in the life sciences industry and trends in cloud adoption. It outlines Cognizant's AWS readiness, investments, applications in life sciences, and case studies. It then covers cloud services across the pharmaceutical value chain and discusses Cognizant's strategic relationship with AWS and their joint value proposition.
Cloud Application Rationalization- The Cloud, the Enterprise, and Making the ...Chad Lawler
“Cloud Application Rationalization - The Cloud, the Enterprise and Making the Right Decisions for your Business”, Gartner Symposium ITXPO, October 24, 2011, Author Chad M. Lawler, Ph.D., Director, Consulting Services, Cloud Computing, U.S. Strategic Technology Solutions, Hitachi Consulting
This document provides an introduction and overview of the third version of the Cloud Security Alliance's "Security Guidance for Critical Areas of Focus in Cloud Computing". Some key points:
- It has been updated and expanded from the second version, with each section now assigned its own editor and peer reviewed by industry experts.
- There are now 14 domains covering issues like cloud architecture, governance, legal issues, compliance, data security, and security operations.
- The guidance is intended to help organizations strategically manage security in cloud services and adopt industry best practices.
Open Source Cloud Computing -EucalyptusSameer Naik
Eucalyptus is an open-source software platform that allows organizations to build private and hybrid clouds with the same interfaces, tools, and APIs used to build public cloud environments like Amazon Web Services. It provides a framework for IT infrastructure and datacenter management by creating private clouds that are compatible with Amazon EC2 and S3. Eucalyptus is maintained by Eucalyptus Systems and provides a private cloud solution through components like the cloud controller, cluster controller, node controller, and storage controller.
Cloud computing is already a fact, which nobody doubts. Moreover, with cloud technologies, organizations can focus on their main activities. In the cloud each user has access to the highest quality services. Along with the various positive effects, vendors face a number of problems and undeveloped areas. Preparation of the stakeholders is crucial for each project. More or less the technologies are the same, but the way we use them is not the same in the cloud. Former flaws are today’s advantages, former fundamentals for developers are no longer available in the cloud. Are we ready to forget all that we know and start over again to learn and how sustainable is the new knowledge – these are the open questions that stakeholders raise today.
http://www.sqlsaturday.com/199/schedule.aspx
http://www.sqlsaturday.com/viewsession.aspx?sat=199&sessionid=18250
List of Software Development Model and MethodsRiant Soft
RiantSoft a Software Development Company derived the most useful and different types of Software Development Model for the users who want to know the development process. RiantSoft is specialized in custom software development with latest cutting edge technologies.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has characteristics like massive scale, resilience, virtualization, and low cost software. Common service models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Virtualization allows multiple virtual machines to run on a single physical machine. Cloud computing enables companies to save costs by using infrastructure on demand rather than owning their own data centers and servers. Commercial cloud offerings provide services like storage, computing resources, and platforms.
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.
This document provides an introduction to cloud computing. It defines cloud computing and discusses its key characteristics including elasticity, multi-tenancy, and utility computing. The document outlines the different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses the technologies that enable cloud computing such as virtualization and containerization. The document uses examples like Amazon Web Services, Google Cloud, and OpenStack to illustrate cloud concepts.
This document provides an overview of virtualization and cloud computing technologies. It defines virtualization as using software to allow multiple operating systems to run on a single hardware host. A hypervisor manages shared access to the physical resources. The document outlines the history of virtualization and describes popular virtualization platforms like Hyper-V, VMware vSphere, and cloud services from Amazon Web Services, Google Apps, and Windows Azure. Benefits of cloud computing include reduced costs, increased storage, flexibility, and mobility. Public, private and hybrid cloud models are discussed along with case studies of major cloud providers.
Cloud computing allows users to access applications and store and access data over the Internet instead of locally on personal devices. It offers on-demand services that are available anywhere, anytime through centralized data centers. This technology improves efficiency by centralizing storage, memory, processing and bandwidth. The major cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud services can be deployed in public, private or hybrid cloud models depending on security and control needs.
The document discusses the Windows Azure platform, which provides infrastructure and platform services through Microsoft's global network of data centers. Key features of the platform include scalable compute and storage, a service bus for integration, and access control services. The platform aims to offer developers agility, innovation, and cost efficiency through a pay-as-you-go cloud model.
This chapter discusses key concepts related to cloud computing including types of virtualization, cloud service models, and benefits of cloud adoption. It describes virtualization of servers, storage, networks, and services. Server virtualization allows multiple virtual machines to run on a single physical server. Storage virtualization presents physical storage devices as a single logical pool. Network virtualization logically segments network traffic. Service virtualization provides services like load balancing. Virtualization management coordinates provisioning and orchestration of virtual resources.
Virtualization is the creation of a virtual -- rather than actual -- version of something, such as an operating system (OS), a server, a storage device or network resources. Virtualization uses software that simulates hardware functionality to create a virtual system.
Virtualization began in the 1960s, as a method of logically dividing the system resources provided by mainframe computers between different applications. Since then, the meaning of the term has broadened. <a>
This document discusses cloud computing including its architecture, key facts, risks, applications and future. It defines cloud computing as dynamically scalable and virtualized resources provided over the Internet. The document outlines the layers of cloud computing including software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also discusses the benefits of cloud computing like flexibility, scalability and cost savings but notes security risks remain a challenge. The future of cloud computing is predicted to include more hybrid public-private models and growth in developing regions.
The document discusses virtualization and provides an overview of key concepts and types of virtualization. It defines virtualization as using software to create virtual versions of hardware resources like servers, storage, and networks. The summary discusses the main types of virtualization covered in the document:
1. Server virtualization allows consolidating multiple physical servers onto one server by virtualizing hardware resources.
2. OS virtualization works at the OS layer, virtualizing a physical server and OS into isolated partitions that function like separate servers.
3. Hardware emulation uses a hypervisor to emulate hardware for guest operating systems, allowing different OS types on one server.
4. Paravirtualization coordinates hardware access without fully emulating
This document discusses cloud computing and job opportunities in the cloud computing sector. It begins by defining cloud computing and describing its characteristics, service models, and deployment models. It then discusses key cloud technologies like Amazon Web Services, cloud storage, and utility computing using Amazon EC2. The document outlines several commercial cloud offerings and concerns about cloud computing. Finally, it proposes four courses of study to acquire skills in cloud infrastructure, servers, storage, and virtualization, along with the technologies, certifications, and job roles associated with each course.
Virtualization allows multiple operating systems and applications to run on a single hardware device by dividing the resources virtually. It provides isolation, encapsulation, and interposition. There are two types of hypervisors - Type 1 runs directly on hardware and Type 2 runs on an operating system. Virtualization can be applied to servers, desktops, applications, networks, and storage to improve utilization, security, and manageability.
Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT's existing capabilities.
The document provides an overview of cloud computing concepts including definitions, categories, architecture, security best practices, economics, pitfalls and recommendations for adoption. It discusses the main service models of infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). It also addresses common myths around cloud computing such as concerns regarding security, reliability and performance.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key features include rapid elasticity, broad network access, resource pooling, measured service, and on-demand self-service. While cloud computing provides advantages such as lower costs, improved performance, and unlimited storage, it also poses disadvantages like requirements for a constant internet connection, limited features compared to desktop software, and potential security and data loss issues if the cloud provider experiences problems.
This document defines virtualization and cloud computing. Virtualization refers to creating virtual versions of hardware and resources that allow multiple operating systems to run on a single physical system by sharing underlying hardware. A hypervisor manages virtual machines (VMs), which are isolated runtime environments. Cloud computing delivers hosted services over the internet, providing on-demand access to resources that can be rapidly provisioned. It offers software, platform, and infrastructure services. Virtualization is an element of cloud computing that allows for efficient sharing of computing resources.
Virtualization allows multiple operating systems to run simultaneously on the same hardware. It provides benefits such as reduced costs, increased hardware utilization, and isolation of virtual machines. Popular virtualization providers include VMware, Red Hat, and Citrix, with VMware's Workstation, GSX Server, and ESX Server being useful virtualization products. Virtualization offers advantages like testing flexibility and disaster recovery benefits.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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.
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.
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.
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.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
3. What is Cloud Computing?
Larry Ellison, Founder of Oracle
“..we've redefined cloud computing to
include everything that we already
do.. I don't understand what we
would do differently in the light of
cloud“ – Oracle OpenWorld, 2009
4. What is Cloud Computing?
Richard Stallman, Founder of GNU
“It's stupidity. It's worse than stupidity:
it's a marketing hype campaign“
- The Guardian Newspaper, 2008
5. What is Cloud Computing?
Bruce Schneier, Security Expert, Author
“Cloud computing is nothing new.. It's the
modern version of the timesharing
model from the 1960s, which was
eventually killed by the rise of the
personal computer. “
- Schneier on Security Blog, 2009
7. What is Cloud Computing?
- Siri Says
“Services that provide common business
applications online, which are accessed
from a Web browser, while the software
and data are stored on the servers; a
style of computing in which dynamically
scalable and often virtualized resources
are provided as a service over the
internet”
8. Introduction
• What Comprises Cloud Computing?
Broadband Measured On-Demand
Rapid Elasticity
Network Access Services Self-Services
Essential
Characteristics
Resource Pooling
Software as a Platform as a Infrastructure as Service
Service (SasS) Service (PasS) a Service (IasS) Models
Public Private Hybrid Community Deployment
Models
* NIST Visual Model of Cloud Computing
10. Why Adopt Cloud Computing?
• Scalability - Organizations have access to a large amount of
resources that scale based on user demand
• Elasticity - Organization’s can request, use, and release as
many resources as needed based on changing needs
• Virtualization - Each user has a single view of the available
resources, independently of how they are arranged in terms of
physical devices
• Lower Infrastructure Costs - The pay-per-use model allows
an organization to only pay for the resources they need with
basically no investment in the physical resources available in
the cloud. There are no infrastructure maintenance or
upgrade costs
11. Why Adopt Cloud Computing?
• Availability - Organizations have the ability for the user to
access data and applications from around the globe
• Collaboration - Organizations are starting to see the cloud as
a way to work simultaneously on common data and
information
• Risk Reduction - Organizations can use the cloud to test
ideas and concepts before making major investments in
technology
• Reliability - In order to support SLAs (service-level
agreements), cloud providers have reliability mechanisms that
are much more robust than those that could be cost-
effectively provided by a single organization
13. Web Applications
• Simplest form of cloud computing
• Applications created in standard web
programming languages (HTML, javascript,
XML, PHP, etc)
• Apps reside somewhere on a server (Google
Docs, Quickbooks On-line, etc)
• Accessed via your PC’s web browser
• If your PC fails, you can access data from
another PC
14. Clustering
• Cluster of computers (i.e. multiple different
servers)
– Different server hardware
– Possibly different OS (depending on app)
• Generally Used as Database Servers
(MySQL, Microsoft Active Directory)
• Benefits
– Replication: Servers maintains same data
– Load balancing between servers in the cluster
– Fault tolerance: cluster responds w/traffic routing
16. Terminal Services
• Based off of old Mainframe and Dumb Terminal Architecture
• Now You Use Terminal Services Servers and Thin Clients
• Thin Clients can be Hardware Devices or Software installed
on a computer
• All processing happens on Terminal Services Server
• Thin Client simply gets a "Window" into the server sharing the
same OS and applications of the server
• Benefits
– Application & data is stored on the server
– Data can be accessible by other thin clients
– Maintenance
18. Application Servers
• Uses Terminal Services but instead of
providing a full Environment it only
delivers a specific Application.
• Benefits
– Applications distributed to thin clients
– Data stored on server (shared)
– Maintenance
19. Virtualization
• What is it?
– Separation of OS from hardware
– Ability to EASILY move OS (including Apps &
Settings) to new physical hardware
– Accomplished with virtualization software
• Client Installed Virtualization
• Hypervisors
20. Client Installed Virtualization
Instance 1 Instance 2 Instance 3
Windows 7 Linux Windows
2008
Server
Client Virtualization Software (VirtualBox)
Operating System (Windows/Linux/Mac)
PC Hardware
21. Hypervisors
• More powerful than client installed virtualization
software
• Provides high reliability for critical services (e.g. MS
Exchange server)
• Two Part Solution: Hypervisor & Management
Software
• Hypervisor is installed on the physical server
hardware
– It’s like a thin OS
– Only provides rudimentary connection info (IP address,
computer name, etc) for the management software
– Supports installation of OS’s when installing computer
instances
22. Hypervisors
• Management Software is installed on an admin
computer
• Purpose: Configure each Virtual Machine, or
Instance and provide fault tolerance.
– Connects to the Hypervisor installed on the server(s)
– Allows creation the virtual computer instances on the
server
• Create virtual disk partitions, allocate memory, Install OS
• Instances can be copy/paste to any other server on network
running compatible hypervisors
– On-the-fly reconfiguration when hardware fails
23. Hypervisor
Computer Computer Computer
Instance 1 Instance 2 Instance 3
Windows
Windows 7 Linux
Server 2008
Management
1G 10 G 5G Software
100 G RAM 200 G RAM 100 G RAM
(VMWare
vSphere)
Hypervisor (VMWare ESXi)
PC
Server Hardware Hardware
27. Service Models
• Everything as a Service: XasS
• Most Common: SPI
– Software as a Service: SasS
– Platform as a Service: PasS
– Infrastructure as a Service: SasS
• Other models
– Storage as a Service: SasS
– Communications as a Service: CasS
– Network as a Service: NasS
– Monitoring as a Service: MasS
28. Infrastructure as a Service (IasS)
Applications
Data
You Manage
• What you gain: Computer/
Runtime
Server
Middleware
• Consumer: SysAdmins
O/S
• Examples
Vendor Manage
Virtualization
– Rackspace.com
Servers
– Go Grid
Storage
– Amazon Web Services (AWS)
Networking
29. Platform as a Service (PasS)
Applications
You Manage
Data
• What you gain: Application/
Runtime
Framework
Middleware
• Consumer: App Developers
O/S
• Examples
Vendor Manage
Virtualization
– Force.com
Servers
– Google App Engine
Storage
– Microsoft Azure
Networking
30. Software as a Service (SasS)
Applications
Data
• What you gain: Business
Runtime Functionality
Vendor Manage
Middleware • Consumer: End Users
O/S • Examples
Virtualization – Google Docs/Gmail
– FreshBooks
Servers
– SalesForce
Storage
– BaseCamp
Networking
33. Cloud Deployment Models
• Public Cloud
– Infrastructure made available to general public or
large industry group
– Owned by the organization selling the service
• Private Cloud
– Infrastructure operated solely for a single
organization
– May be managed by the organization or a third
party
– May be located on-premise or off-premise
34. Cloud Deployment Models
• Community Cloud
– Infrastructure is shared by several organizations and
supports a specific community that has shared
concerns (e.g. mission, security requirements, policy,
compliance, etc.)
– May be managed by the organizations or a third party
– May be located on-premise or off-premise
• Hybrid Cloud
– Infrastructure is a composition of two or more clouds
– Remain unique entities but bound together by
standardized or proprietary technology that enable
data and application portability
35. Cloud Deployment Models
Infrastructure Infrastructure Infrastructure Accessible and
Managed By Owned By Located Consumed By
Public Third Party Provider Third Party Provider Off-Premise Untrusted
Organization Organization On-Premise
Private/
Community OR OR Trusted
Third Party Provider Third Party Provider Off-Premise
Hybrid Both Organization & Both Organization & Both On-Premise & Trusted &
Third Party Provider Third Party Provider Off-Premise Untrusted
36. Cloud Security
• John Chambers, CEO Cisco
Systems - “[Cloud Computing] is a
security nightmare and it can't be
handled in traditional ways.“ –
Keynote Address, 2009 RSA
Security Conference
37. Cloud Security
• No list of security controls can cover all
cloud deployments
• Organizations should adopt a risk-based
approach about moving to the cloud
• Use Cloud Security Alliance (CSA) quick
method for evaluating tolerance in moving
an asset to the cloud
38. Cloud Security
• Identify Each Asset for Cloud
Deployment
– Data
– Application/Functions/Processes
• Data and applications don’t need to reside
in the same location
39. Cloud Security
• Evaluate the Asset
– How would we be harmed if the asset became widely
public or widely distributed?
– How would we be harmed if an employee of our
cloud provider accessed the asset?
– How would we be harmed if the process or function
were manipulated by an outsider?
– How would we be harmed if the process or function
failed to provide expected results?
– How would we be harmed if the information/data were
unexpectedly changed?
– How would we be harmed if the asset were
unavailable for a peroid of time?
40. Cloud Security
• Map the Asset to Potential Cloud
Deployment Models
– Public
– Private, internal/on-premises
– Private, external (including dedicated or shared
infrastructure)
– Community; taking into account the hosting
location, and identification of other community
members
– Hybrid; have in mind at least a rough architecture
of where components, functions, and data will
reside.
41. Cloud Security
• Evaluate Potential Cloud Service Models
and Providers
– Focus on the degree of control you’ll have
• SasS: Software as a Service
• PasS: Platform as a Service
• IasS: Infrastructure as a Service
• Map Out the Potential Data Flow
– Map out data flow between your organization,
cloud services, and any customer/other nodes
– Understand whether, and how, data can move in
and out of the cloud
– Identify risk exposure points
42. Risk Management Approaches
Consumer Security Responsibility
Less
Security Participation by
End User Organization
S
SasS SasS
Software PasS & SasS
P
IasS, PasS, & SasS
PasS
Platform
I
More
IasS
Infrastructure
43. Cloud Security
• Security Conclusions
– You should understand the importance of
what your considering moving into the cloud
– Risk tolerance for each asset
– Which combinations of deployment and
service models are acceptable
– You should have a good idea of potential
exposure points for sensitive information and
operations
44. Barriers to Cloud Adoption
• Security - The key concern is data privacy: organizations do not have
control of or know where their data is being stored
• Interoperability - A universal set of standards and/or interfaces has not
yet been defined, resulting in a significant risk of vendor lock-in
• Resource Control - The amount of control that the organization has
over the cloud environment varies greatly
• Latency - All access to the cloud is done via the internet, introducing
latency into every communication between the user and the
environment
• Platform or Language Constraints - Some cloud environments
provide support for specific platforms and languages only
• Legal Issues - There are concerns in the cloud computing community
over jurisdiction, data protection, fair information practices, and
international data transfer
45. Final Thoughts
• Cloud Computing is in essence an
economic model
– It is a different way to acquire and manage IT
resources
• There are multiple cloud providers—the
cloud is real
– Currently most cloud consumers are small
enterprises
– Large enterprises are exploring private clouds
– The number of providers will most probably grow
as people start seeing greater savings and
improvements to reduce adoption barriers
46. Final Thoughts
• Cloud Computing adoption requires cost/
benefit/risk analysis to determine
– What resources to move to the cloud (if any)
– What situations warrant use of cloud resources,
even for one-time situations
– Implementation of private clouds vs. usage of
public clouds
– What risks are associated with using resources
on the cloud
– What risks are associated to providing resources
in the cloud
47. Final Thoughts
• Decisions from a cloud consumer
perspective depend on
– Required control level
– Required security level
– Compatibility with local infrastructure
• Decisions from a cloud provider
perspective depend on
– Market/user characteristics
– Established SLAs
– Available technology
48. Thank You
Tom Eberle
Tom.Eberle@Comcast.net
LinkedIn.com/in/teberle
Twitter.com/teberle
49. References
• Cloud Security Alliance Guide.v3.0
• “Introduction to Cloud Computing” – Everyman IT
• “Introduction to Security and Privacy in Cloud
Computing”, Ragib Hanson , Johns Hopkins University,
1/25/2010
• “Architectural Implications of Cloud Computing”, Grace
A. Lewis, Software Engineering Institute, 2011
• “Introduction to Cloud Computing”, Wikipedia
• “Cloud Computing”, Wikipedia
Editor's Notes
This class introduces students to the world of Cloud Computing and explains that Cloud Computing is more then Virtualization.
For those concerned about the security of sensitive data, Amazon moved to create “GovCloud,” a cluster of data centers only available to government agencies and contractors
For those concerned about the security of sensitive data, Amazon moved to create “GovCloud,” a cluster of data centers only available to government agencies and contractors
For those concerned about the security of sensitive data, Amazon moved to create “GovCloud,” a cluster of data centers only available to government agencies and contractors
Are Created in Web Programming Languages Generally Use Databases to Store Data
Are Generally Used for Database Servers (MySQL, Microsoft Active Directory) Load is balanced between servers in a cluster. If one server fails the cluster responds by not sending traffic to it. Servers maintain the same data by using replication
Based off of old Mainframe and Dumb Terminal Architecture Now You Use Terminal Services Servers and Thin Clients Thin Clients can be Hardware Devices or Software installed on a computer All processing happens on Terminal Services Server and the Thin Client simply gets a &quot;Window&quot; into the server. Example: http://www.ncomputing.com/
Uses Terminal Services but instead of providing a full Environment it only delivers a specific Application.
Uses Desktop Clients Software or Hypervisors to allow you to install multiple Operating Systems on to one physical server.
Example: Mac Computer VMWare Fusion Install Windows 7 Windows 7 runs in a window on the Mac Desktop
i. Hypervisor is installed on the physical hardware to support the Operating Systems, and Management Software is used to configure each Virtual Machine, or Instance. ii. VMWare uses ESXi as the Hypervisor and vSphere for the Management Software
i. Hypervisor is installed on the physical hardware to support the Operating Systems, and Management Software is used to configure each Virtual Machine, or Instance. ii. VMWare uses ESXi as the Hypervisor and vSphere for the Management Software
Management Software Installed on another computer VMware vSphere
Management Software Installed on another computer VMware vSphere
i. Hypervisor is installed on the physical hardware to support the Operating Systems, and Management Software is used to configure each Virtual Machine, or Instance. ii. VMWare uses ESXi as the Hypervisor and vSphere for the Management Software
The Public Cloud is Cloud Computing used from Online Vendors Private Clouds are environments on business/organization property that use Cloud Technologies.
The Public Cloud is Cloud Computing used from Online Vendors Private Clouds are environments on business/organization property that use Cloud Technologies.
For those concerned about the security of sensitive data, Amazon moved to create “GovCloud,” a cluster of data centers only available to government agencies and contractors
For those concerned about the security of sensitive data, Amazon moved to create “GovCloud,” a cluster of data centers only available to government agencies and contractors
Security... Most Small Business Security is poor. Security for most small to medium sized business will be better when systems are hosted in the cloud Local and Internet Bandwidth becomes more important with Cloud Computing. Even on the LAN you may end using all of your bandwidth.
Security... Most Small Business Security is poor. Security for most small to medium sized business will be better when systems are hosted in the cloud Local and Internet Bandwidth becomes more important with Cloud Computing. Even on the LAN you may end using all of your bandwidth.
Security... Most Small Business Security is poor. Security for most small to medium sized business will be better when systems are hosted in the cloud Local and Internet Bandwidth becomes more important with Cloud Computing. Even on the LAN you may end using all of your bandwidth.