The idea of a cloud exchange is a much discussed topic within academic and high-performance computing circles (see Breest, 2007; Buyya, Ranjan, & Calheiros, 2009). The discussion can vary widely based on the type of cloud service being discussed.
Cloud services are commonly divided into three types: IaaS, platform as a service (PaaS) and software as a service (SaaS) (Liu et al., n d). There are several SaaS solutions and services in the marketplace that claim to deliver a cloud brokerage or exchange, however these services integrate SaaS offerings in the cloud rather than the buying and selling of services in their respective domains. This means that a SaaS cloud broker can more accurately be described as an integrator of SaaS services. This offering is completely different from an IaaS exchange from both a business and technical standpoint.
The goal of an IaaS cloud exchange is to create a distributed infrastructure in which different components are interchangeable. Controlled by the cloud exchange, the distributed infrastructure not only increases technical capabilities – such as availability and resilience – it also allows consumers to make economic decisions regarding scheduling workloads. While this is valuable to customers, it also increases the technical complexity of an IaaS cloud exchange compared to SaaS. This complexity means there are currently more SaaS services available than IaaS Cloud exchange services.
The remainder of this paper discusses the challenges, requirements and technology for an IaaS cloud exchange.
Zimory White Paper: The Cloud's Slow European Take-offZimory
The term “Cloud” is being increasingly used and analyzed in the IT market. Cloud Services are synonymous with innovative features that clearly differ from the traditional utility computing. Clouds are by definition flexible, dynamic, scalable and heterogeneous, with three defined categories: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). These qualities have proved to be very positive for IT engineering and businesses.
Nevertheless, and because of its novelty, technical and business evolution, the Cloud Computing market presents a certain number of obstacles for companies interested in moving to the Cloud, especially in the early stages.
Decision makers face a sizable considerable number of challenges when considering moving to the Cloud, especially with regards to the following obstacles:
- Pricing policies
- Neutral market place
- Technical standardization
- Lock-in policies
- Data protection and security policies
- Cloud security testing
This paper analyzes these challenges, offering factual, theoretical and practical reasons for the slow take-off of the Cloud Computing market. It also analyzes possible instances to overcome these difficulties, describing Zimory's position and practical solutions to address these market obstacles.
Zimory white paper: End-to-end Enterprise-Grade Cloud InfrastructureZimory
Infrastructure cloud computing substantially has impacted the data center services market in recent years. Many large-scale web applications are enabled by the use of infrastructure cloud services. Early infrastructure cloud market participants like Amazon, with its Amazon Web Services (AWS) portfolio, targeted such consumer web applications. These cloud services have allowed application developers to reach new levels of agility and cost efficiency, as the applications could scale automatically with demand on the user side.
Naturally, enterprise IT departments are seeking to improve their agility and cost structures and thus seek to exploit cloud computing technologies and principles for their internal systems. But introducing cloud principles in the enterprise IT environment runs into a number of obstacles, including complex legacy application architectures, particular legal requirements governing various IT operational considerations, and strategic supplier dependency realities. To align with these requirements more complex cloud delivery models have been developed, such as distributed hybrid clouds and community clouds. These models introduce further levels of technical complexity and constraints that restrict the span of service utility from an application or ‘use case’ perspective, and reduce the net benefit of cloud to the enterprise.
In this paper we present a solution that shows how the integration of dynamic networking and dynamic computing can extend the utility and feasibility of cloud to include and encompass enterprise-grade distributed data center environments.
This paper is organized as follows. In the next section we discuss in more detail the challenges enterprises face when introducing cloud services into their IT environments. In section III we present the alternative setup scenarios for the solution, and in section IV we explain the solution in detail, describing an example application. We conclude the paper with a consideration of the market outlook for the solution.
Founded in 2007, Zimory provides carrier-grade cloud infrastructure management software that allows service providers, enterprises and cloud brokers to fully leverage the power and elasticity of cloud computing. Zimory’s intelligent Cloud Suite simplifies, automates and expedites the creation, launch and management of all types of cloud environments – whether public, private, virtual private or hybrid. Zimory software is also a key enabler of cloud marketplaces for enterprise services, applications and infrastructure. Headquartered in Berlin, Zimory has development centers in Erfurt, Germany and Minsk, Belarus, a subsidiary office in New York City and is expanding its expertise and presence globally.
This brochure provides more details about Zimory and its award-winning cloud management software.
A study on securing cloud environment from d do s attack to preserve data ava...Manimaran A
This document discusses security techniques to protect cloud environments from DDoS attacks. It begins by introducing the importance of securing cloud resources and data availability. It then describes several common security attacks on cloud computing including cookie poisoning, SQL injection, man-in-the-middle attacks, and cloud malware injection. The document also examines intrusion detection methods like installing detection systems on cloud servers. Finally, it provides details on specific DDoS attacks like SYN flooding and IP spoofing, and the challenges they pose to cloud availability.
Zimory White Paper: Security in the Cloud pt 2/2Zimory
Once in the Cloud, various assumptions come to mind regarding security matters. For example, most system and network administrators decide to approach virtual network and virtual machine (VM) security the way they do their physical counterparts; applying similar security paradigms.
Security architectures designed for physical networks often fail to provide the required levels of security in the virtual world. Perimeter-based security alone is insufficient in a virtualized infrastructure partially because of virtual machines – which are sometimes, quite literally, moving targets. Dynamic networks, remote access requirements, and host machines to be carefully locked down, are some of the security concerns to be found in Cloud environments. With a little thought and imagination, however, securing your virtual infrastructure is possible provided you are willing to take a closer look.
The following document intends to analyze challenges regarding security in a virtualized environment, especially comparing implications of both physical and virtual environments. Security challenges of the Cloud environment are listed and analyzed, to finalize with possible solutions to face and resolve these challenges.
This document discusses secure and practical outsourcing of linear programming in cloud computing. It introduces cloud computing and explains why security is important in the cloud. Linear programming is described as a technique for optimizing allocation of resources that is well-suited for the cloud. The document outlines deployment models, service models, and reasons why cloud computing benefits small businesses, including economies of scale, functionality, and security. Risks to cloud security from data breaches, hijacking, and malicious insiders are also summarized.
In this paper, the SMB Group examines different cloud computing models and the types of requirements that each can best address, and discusses what midmarket businesses should look for in a cloud solutions provider.
Cloud computing of late has become the new buzz word joining the ranks of terms including; grid computing, utility computing, virtualization, clustering, etc. However the problem is that everyone seems to have a different definition..
Zimory White Paper: The Cloud's Slow European Take-offZimory
The term “Cloud” is being increasingly used and analyzed in the IT market. Cloud Services are synonymous with innovative features that clearly differ from the traditional utility computing. Clouds are by definition flexible, dynamic, scalable and heterogeneous, with three defined categories: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). These qualities have proved to be very positive for IT engineering and businesses.
Nevertheless, and because of its novelty, technical and business evolution, the Cloud Computing market presents a certain number of obstacles for companies interested in moving to the Cloud, especially in the early stages.
Decision makers face a sizable considerable number of challenges when considering moving to the Cloud, especially with regards to the following obstacles:
- Pricing policies
- Neutral market place
- Technical standardization
- Lock-in policies
- Data protection and security policies
- Cloud security testing
This paper analyzes these challenges, offering factual, theoretical and practical reasons for the slow take-off of the Cloud Computing market. It also analyzes possible instances to overcome these difficulties, describing Zimory's position and practical solutions to address these market obstacles.
Zimory white paper: End-to-end Enterprise-Grade Cloud InfrastructureZimory
Infrastructure cloud computing substantially has impacted the data center services market in recent years. Many large-scale web applications are enabled by the use of infrastructure cloud services. Early infrastructure cloud market participants like Amazon, with its Amazon Web Services (AWS) portfolio, targeted such consumer web applications. These cloud services have allowed application developers to reach new levels of agility and cost efficiency, as the applications could scale automatically with demand on the user side.
Naturally, enterprise IT departments are seeking to improve their agility and cost structures and thus seek to exploit cloud computing technologies and principles for their internal systems. But introducing cloud principles in the enterprise IT environment runs into a number of obstacles, including complex legacy application architectures, particular legal requirements governing various IT operational considerations, and strategic supplier dependency realities. To align with these requirements more complex cloud delivery models have been developed, such as distributed hybrid clouds and community clouds. These models introduce further levels of technical complexity and constraints that restrict the span of service utility from an application or ‘use case’ perspective, and reduce the net benefit of cloud to the enterprise.
In this paper we present a solution that shows how the integration of dynamic networking and dynamic computing can extend the utility and feasibility of cloud to include and encompass enterprise-grade distributed data center environments.
This paper is organized as follows. In the next section we discuss in more detail the challenges enterprises face when introducing cloud services into their IT environments. In section III we present the alternative setup scenarios for the solution, and in section IV we explain the solution in detail, describing an example application. We conclude the paper with a consideration of the market outlook for the solution.
Founded in 2007, Zimory provides carrier-grade cloud infrastructure management software that allows service providers, enterprises and cloud brokers to fully leverage the power and elasticity of cloud computing. Zimory’s intelligent Cloud Suite simplifies, automates and expedites the creation, launch and management of all types of cloud environments – whether public, private, virtual private or hybrid. Zimory software is also a key enabler of cloud marketplaces for enterprise services, applications and infrastructure. Headquartered in Berlin, Zimory has development centers in Erfurt, Germany and Minsk, Belarus, a subsidiary office in New York City and is expanding its expertise and presence globally.
This brochure provides more details about Zimory and its award-winning cloud management software.
A study on securing cloud environment from d do s attack to preserve data ava...Manimaran A
This document discusses security techniques to protect cloud environments from DDoS attacks. It begins by introducing the importance of securing cloud resources and data availability. It then describes several common security attacks on cloud computing including cookie poisoning, SQL injection, man-in-the-middle attacks, and cloud malware injection. The document also examines intrusion detection methods like installing detection systems on cloud servers. Finally, it provides details on specific DDoS attacks like SYN flooding and IP spoofing, and the challenges they pose to cloud availability.
Zimory White Paper: Security in the Cloud pt 2/2Zimory
Once in the Cloud, various assumptions come to mind regarding security matters. For example, most system and network administrators decide to approach virtual network and virtual machine (VM) security the way they do their physical counterparts; applying similar security paradigms.
Security architectures designed for physical networks often fail to provide the required levels of security in the virtual world. Perimeter-based security alone is insufficient in a virtualized infrastructure partially because of virtual machines – which are sometimes, quite literally, moving targets. Dynamic networks, remote access requirements, and host machines to be carefully locked down, are some of the security concerns to be found in Cloud environments. With a little thought and imagination, however, securing your virtual infrastructure is possible provided you are willing to take a closer look.
The following document intends to analyze challenges regarding security in a virtualized environment, especially comparing implications of both physical and virtual environments. Security challenges of the Cloud environment are listed and analyzed, to finalize with possible solutions to face and resolve these challenges.
This document discusses secure and practical outsourcing of linear programming in cloud computing. It introduces cloud computing and explains why security is important in the cloud. Linear programming is described as a technique for optimizing allocation of resources that is well-suited for the cloud. The document outlines deployment models, service models, and reasons why cloud computing benefits small businesses, including economies of scale, functionality, and security. Risks to cloud security from data breaches, hijacking, and malicious insiders are also summarized.
In this paper, the SMB Group examines different cloud computing models and the types of requirements that each can best address, and discusses what midmarket businesses should look for in a cloud solutions provider.
Cloud computing of late has become the new buzz word joining the ranks of terms including; grid computing, utility computing, virtualization, clustering, etc. However the problem is that everyone seems to have a different definition..
A hybrid cloud combines private and public clouds to provide flexibility, agility and cost control. However, operational silos, complex application management and lack of portability limit its effectiveness. To address these challenges, enterprises should unify infrastructure management across clouds with a single control plane. This allows monitoring, managing and orchestrating all environments with the same tools. Choosing a solution like unified cloud management or a unified platform like Kubernetes can provide the necessary abstraction and standardization to improve hybrid cloud operations.
This document provides an overview of cloud computing, including its benefits and challenges. It discusses the different cloud computing models of SaaS, PaaS, and IaaS. Public clouds offer economies of scale but limited customization, while private clouds have more control but require companies to manage their own infrastructure. Hybrid clouds combine public and private models. The main benefits are reduced costs, increased storage, and flexibility. However, key challenges include concerns around data security, availability, management capabilities, and regulatory compliance restrictions.
Best cloud computing training institute in noidataramandal
TECHAVERA is offering best In Class, Corporate and Online cloud computing Training in Noida. TECHAVERA Delivers best cloud Live Project visit us - http://www.techaveranoida.in/best-cloud-computing-training-in-noida.php
IRJET- An Overview on Cloud Computing and ChallengesIRJET Journal
This document discusses cloud computing, including its various models and challenges. It begins by defining cloud computing as the delivery of computing services over the internet. It then discusses the three main service models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines the different types of cloud models based on location and service, including public, private, hybrid, community, and federated clouds. Finally, it discusses some of the key challenges of adopting cloud computing such as security, loss of control, vendor lock-in, and lack of skills.
The document is a report on cloud computing written by Abdul-Rehman Aslam for his course instructor Mr. Safee. It discusses key topics such as what cloud computing is, the cloud service model of Infrastructure as a Service, Platform as a Service and Software as a Service. It also covers the different types of clouds including public, private, hybrid and community clouds. The report highlights the key characteristics of cloud computing such as cost, device and location independence, multi-tenancy, reliability, scalability and security. It concludes that cloud computing brings many possibilities and is a technology that has taken the software and business world by storm.
Challenges and benefits for adopting the paradigm of cloud computingcloudresearcher
This document discusses the challenges and benefits of adopting cloud computing. It describes the key cloud computing models including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). The main challenges of adopting cloud computing are privacy, interoperability, and reliability issues. However, there are also significant benefits such as cost savings, easy scalability, and increased productivity. The document provides an overview of the cloud computing paradigm and analyzes both the challenges that must be addressed and advantages that can be gained from cloud adoption.
Cloud computing is Internet ("cloud") based development and use of computer technology ("computing"). It is an emerging computing technology that uses the Internet and central remote servers to maintain data and applications. Cloud computing allows consumers and business to use applications without installation and access their personal files at any computer with Internet access. This technology allows for much more efficient computing by centralizing storage, memory, processing and bandwidth.
An Essential Guide to Possibilities and Risks of Cloud Computing: A Pragmatic...Maria Spínola
This document provides an overview of cloud computing, including its benefits, risks, and implementation considerations. It defines cloud computing as transforming how IT is deployed and managed by reducing costs and complexity while increasing scalability, innovation, and speed. While cloud computing provides opportunities, there are also security, integration, and vendor lock-in risks to consider. The document recommends developing a cloud strategy and governance program, evaluating workloads for cloud suitability, asking providers key questions, and testing implementations to realize benefits while mitigating risks.
How to optimize cloud and virtual infrastructure resource utilization, manage the sprawl, troubleshoot and control cost.
IT administrators and managers need a comprehensive strategy to optimize and manage their infrastructure as a service (IaaS).
7 things to consider when choosing your IaaS provider for ISV/SaaSFrederik Denkens
As an ISV or SaaS company, choosing the right IaaS provider can be a challenge. I hope to give you some things to think about to guide you in your decision.
You can off course always call us if you need help choosing!
IaaS Cloud Benchmarking: Approaches, Challenges, and ExperienceAlexandru Iosup
IaaS cloud benchmarking approaches aim to quantify cloud performance and properties through formalized real-world scenarios, real traces, workload modeling, and repeatable experiments. Main challenges include developing statistical workload models, isolating performance under multi-tenancy, and measuring variability and elasticity beyond traditional metrics. The team studied IaaS cloud workloads including bags of tasks, workflows, MapReduce models, and big data, and evaluated cloud performance across providers to understand implications for real applications.
(ENT311) Public IaaS Provider Bake-off: AWS vs Azure | AWS re:Invent 2014Amazon Web Services
Public cloud IaaS services continue to be the hottest segment of the cloud market with Amazon Web Services and Microsoft Azure gaining all the attention. Almost all customers are currently evaluating, selecting or deploying major IaaS services. In this session, Gartner lays out recommended evaluation criteria for IaaS providers and objectively evaluates how AWS and Azure stack up against one another. The following key questions will be answered in this session:
What is the recommended evaluation criteria for IaaS providers?
How do AWS and Azure compare to one another?
What does the future hold for the public IaaS provider market?
IaaS vs. PaaS: Windows Azure Compute SolutionsIdo Flatow
Several years ago, life in Windows Azure was simple. For background services, we used a worker role, and for a Web application we used a Web role. Today, with the addition of Web Sites and Virtual Machines, the decision where and how to deploy got a bit harder. In this session we will explore the various hosting options offered by the Windows Azure platform, the steps required to deploy to each environment, and discuss the advantages and disadvantages of each solution.
Businesses around the world are reinventing themselves to remain competitive in a time when agility, efficiency and constant change is the new normal.
Strategic, thoughtful evolution is required to meet these changes head on. The most successful companies are doing so with a critical eye on three factors:
• Customers are more connected than ever, demanding more customized experience, on-demand scale, ubiquitous access and business analytics. Keeping customers at the center of every decision is critical.
• Competitive landscape has become more dynamic. Biggest is no guarantee of being the best. Foresight, innovating thinking and ability to quickly respond to customer’s need are what create new market leaders.
• Organizational structures and models have evolved. Businesses that foster innovation and collaboration require new ways of thinking and operating to create efficiencies and increase the power of their human capital.
In this book, we provide an overview of the Platform as a Service (PaaS) model of cloud services, describing its value, components and its place in an overall cloud adoption and migration strategy. Then we showcase seven of the largest and most powerful PaaS companies and their public and private PaaS offerings. We examine the services offered by these platforms and provide a comparison chart and decision checklists to facilitate selecting the most appropriate platform for transforming your organization to increase efficiencies and power of innovation.
Beyond PaaS v.s IaaS: How to Manage BothRightScale
This document discusses different options for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) and how to manage both. It finds that while PaaS provides ease of use, IaaS provides more flexibility, and many organizations use a combination of the two. It also explores various PaaS and container cluster manager options and how RightScale's cloud management platform can help deploy and manage applications on any infrastructure, including platforms like OpenShift.
Backup? Who cares! Now and Then? We store our data in the cloud. Somewhere in the Cloud. Which Cloud? Who cares! But we are still SQL Server Professionals, so… are we need backup? Should we use newest opportunities or old methods? Are we going a step further or step back? On my session, I will try to find answers for all of those (and more) questions. Demos, cases, and examples from the world of backup. And of course worst practices.
Modern Network Operations with no Myths on SaaS, IaaS and PaaS discusses cloud computing characteristics such as massive, abstracted infrastructure and dynamic allocation of applications. It defines cloud services as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines cloud architecture types including public, private, and hybrid clouds. It analyzes the cloud computing market and opportunities for enterprises and software developers in utilizing public and private cloud services.
The document discusses the benefits of bare metal clouds compared to virtualized clouds. Bare metal clouds provide dedicated physical servers to individual tenants, avoiding many of the performance limitations of virtualized clouds like inconsistent performance due to resource oversubscription. Bare metal clouds also allow for complete hardware customization and isolation of workloads, which can help meet regulatory compliance requirements. While virtualized clouds are convenient, bare metal is presented as a better option for applications that require high and consistent performance, like large databases, as well as for matching an on-premises environment without performance compromises.
G05.2014 - Magic quadrant for cloud infrastructure as a serviceSatya Harish
This document provides an overview and evaluation criteria for Gartner's 2014 Magic Quadrant for cloud infrastructure as a service (IaaS). It defines cloud IaaS and distinguishes it from other cloud services. The document evaluates IaaS providers based on their ability to execute and completeness of vision. Key criteria include availability, scalability, security, pricing and support. While the IaaS market continues rapid growth, strategic provider selection is important given the immaturity of some offerings.
A hybrid cloud combines private and public clouds to provide flexibility, agility and cost control. However, operational silos, complex application management and lack of portability limit its effectiveness. To address these challenges, enterprises should unify infrastructure management across clouds with a single control plane. This allows monitoring, managing and orchestrating all environments with the same tools. Choosing a solution like unified cloud management or a unified platform like Kubernetes can provide the necessary abstraction and standardization to improve hybrid cloud operations.
This document provides an overview of cloud computing, including its benefits and challenges. It discusses the different cloud computing models of SaaS, PaaS, and IaaS. Public clouds offer economies of scale but limited customization, while private clouds have more control but require companies to manage their own infrastructure. Hybrid clouds combine public and private models. The main benefits are reduced costs, increased storage, and flexibility. However, key challenges include concerns around data security, availability, management capabilities, and regulatory compliance restrictions.
Best cloud computing training institute in noidataramandal
TECHAVERA is offering best In Class, Corporate and Online cloud computing Training in Noida. TECHAVERA Delivers best cloud Live Project visit us - http://www.techaveranoida.in/best-cloud-computing-training-in-noida.php
IRJET- An Overview on Cloud Computing and ChallengesIRJET Journal
This document discusses cloud computing, including its various models and challenges. It begins by defining cloud computing as the delivery of computing services over the internet. It then discusses the three main service models of cloud computing: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines the different types of cloud models based on location and service, including public, private, hybrid, community, and federated clouds. Finally, it discusses some of the key challenges of adopting cloud computing such as security, loss of control, vendor lock-in, and lack of skills.
The document is a report on cloud computing written by Abdul-Rehman Aslam for his course instructor Mr. Safee. It discusses key topics such as what cloud computing is, the cloud service model of Infrastructure as a Service, Platform as a Service and Software as a Service. It also covers the different types of clouds including public, private, hybrid and community clouds. The report highlights the key characteristics of cloud computing such as cost, device and location independence, multi-tenancy, reliability, scalability and security. It concludes that cloud computing brings many possibilities and is a technology that has taken the software and business world by storm.
Challenges and benefits for adopting the paradigm of cloud computingcloudresearcher
This document discusses the challenges and benefits of adopting cloud computing. It describes the key cloud computing models including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). The main challenges of adopting cloud computing are privacy, interoperability, and reliability issues. However, there are also significant benefits such as cost savings, easy scalability, and increased productivity. The document provides an overview of the cloud computing paradigm and analyzes both the challenges that must be addressed and advantages that can be gained from cloud adoption.
Cloud computing is Internet ("cloud") based development and use of computer technology ("computing"). It is an emerging computing technology that uses the Internet and central remote servers to maintain data and applications. Cloud computing allows consumers and business to use applications without installation and access their personal files at any computer with Internet access. This technology allows for much more efficient computing by centralizing storage, memory, processing and bandwidth.
An Essential Guide to Possibilities and Risks of Cloud Computing: A Pragmatic...Maria Spínola
This document provides an overview of cloud computing, including its benefits, risks, and implementation considerations. It defines cloud computing as transforming how IT is deployed and managed by reducing costs and complexity while increasing scalability, innovation, and speed. While cloud computing provides opportunities, there are also security, integration, and vendor lock-in risks to consider. The document recommends developing a cloud strategy and governance program, evaluating workloads for cloud suitability, asking providers key questions, and testing implementations to realize benefits while mitigating risks.
How to optimize cloud and virtual infrastructure resource utilization, manage the sprawl, troubleshoot and control cost.
IT administrators and managers need a comprehensive strategy to optimize and manage their infrastructure as a service (IaaS).
7 things to consider when choosing your IaaS provider for ISV/SaaSFrederik Denkens
As an ISV or SaaS company, choosing the right IaaS provider can be a challenge. I hope to give you some things to think about to guide you in your decision.
You can off course always call us if you need help choosing!
IaaS Cloud Benchmarking: Approaches, Challenges, and ExperienceAlexandru Iosup
IaaS cloud benchmarking approaches aim to quantify cloud performance and properties through formalized real-world scenarios, real traces, workload modeling, and repeatable experiments. Main challenges include developing statistical workload models, isolating performance under multi-tenancy, and measuring variability and elasticity beyond traditional metrics. The team studied IaaS cloud workloads including bags of tasks, workflows, MapReduce models, and big data, and evaluated cloud performance across providers to understand implications for real applications.
(ENT311) Public IaaS Provider Bake-off: AWS vs Azure | AWS re:Invent 2014Amazon Web Services
Public cloud IaaS services continue to be the hottest segment of the cloud market with Amazon Web Services and Microsoft Azure gaining all the attention. Almost all customers are currently evaluating, selecting or deploying major IaaS services. In this session, Gartner lays out recommended evaluation criteria for IaaS providers and objectively evaluates how AWS and Azure stack up against one another. The following key questions will be answered in this session:
What is the recommended evaluation criteria for IaaS providers?
How do AWS and Azure compare to one another?
What does the future hold for the public IaaS provider market?
IaaS vs. PaaS: Windows Azure Compute SolutionsIdo Flatow
Several years ago, life in Windows Azure was simple. For background services, we used a worker role, and for a Web application we used a Web role. Today, with the addition of Web Sites and Virtual Machines, the decision where and how to deploy got a bit harder. In this session we will explore the various hosting options offered by the Windows Azure platform, the steps required to deploy to each environment, and discuss the advantages and disadvantages of each solution.
Businesses around the world are reinventing themselves to remain competitive in a time when agility, efficiency and constant change is the new normal.
Strategic, thoughtful evolution is required to meet these changes head on. The most successful companies are doing so with a critical eye on three factors:
• Customers are more connected than ever, demanding more customized experience, on-demand scale, ubiquitous access and business analytics. Keeping customers at the center of every decision is critical.
• Competitive landscape has become more dynamic. Biggest is no guarantee of being the best. Foresight, innovating thinking and ability to quickly respond to customer’s need are what create new market leaders.
• Organizational structures and models have evolved. Businesses that foster innovation and collaboration require new ways of thinking and operating to create efficiencies and increase the power of their human capital.
In this book, we provide an overview of the Platform as a Service (PaaS) model of cloud services, describing its value, components and its place in an overall cloud adoption and migration strategy. Then we showcase seven of the largest and most powerful PaaS companies and their public and private PaaS offerings. We examine the services offered by these platforms and provide a comparison chart and decision checklists to facilitate selecting the most appropriate platform for transforming your organization to increase efficiencies and power of innovation.
Beyond PaaS v.s IaaS: How to Manage BothRightScale
This document discusses different options for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) and how to manage both. It finds that while PaaS provides ease of use, IaaS provides more flexibility, and many organizations use a combination of the two. It also explores various PaaS and container cluster manager options and how RightScale's cloud management platform can help deploy and manage applications on any infrastructure, including platforms like OpenShift.
Backup? Who cares! Now and Then? We store our data in the cloud. Somewhere in the Cloud. Which Cloud? Who cares! But we are still SQL Server Professionals, so… are we need backup? Should we use newest opportunities or old methods? Are we going a step further or step back? On my session, I will try to find answers for all of those (and more) questions. Demos, cases, and examples from the world of backup. And of course worst practices.
Modern Network Operations with no Myths on SaaS, IaaS and PaaS discusses cloud computing characteristics such as massive, abstracted infrastructure and dynamic allocation of applications. It defines cloud services as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also outlines cloud architecture types including public, private, and hybrid clouds. It analyzes the cloud computing market and opportunities for enterprises and software developers in utilizing public and private cloud services.
The document discusses the benefits of bare metal clouds compared to virtualized clouds. Bare metal clouds provide dedicated physical servers to individual tenants, avoiding many of the performance limitations of virtualized clouds like inconsistent performance due to resource oversubscription. Bare metal clouds also allow for complete hardware customization and isolation of workloads, which can help meet regulatory compliance requirements. While virtualized clouds are convenient, bare metal is presented as a better option for applications that require high and consistent performance, like large databases, as well as for matching an on-premises environment without performance compromises.
G05.2014 - Magic quadrant for cloud infrastructure as a serviceSatya Harish
This document provides an overview and evaluation criteria for Gartner's 2014 Magic Quadrant for cloud infrastructure as a service (IaaS). It defines cloud IaaS and distinguishes it from other cloud services. The document evaluates IaaS providers based on their ability to execute and completeness of vision. Key criteria include availability, scalability, security, pricing and support. While the IaaS market continues rapid growth, strategic provider selection is important given the immaturity of some offerings.
Insider's Guide- Building a Virtualized Storage ServiceDataCore Software
This document discusses how storage virtualization can enable storage to be delivered as a dependable service through a software layer called a storage hypervisor. A storage hypervisor translates complex storage hardware into a centrally managed resource that can be dynamically allocated. It addresses issues like inefficient storage management, high product costs, and lack of flexibility. It allows organizations to manage more storage capacity with fewer administrators, keep hardware in service longer, and purchase less expensive gear. It also contributes to data protection and provides predictability in the face of changing technologies like server virtualization, desktop virtualization, and cloud computing.
Hybrid Hosting: Evolving the Cloud in 2011Rackspace
This whitepaper discusses hybrid hosting, which combines dedicated hosting and cloud hosting. Hybrid hosting allows businesses to seamlessly switch between dedicated servers and cloud services as needed. It provides the stability and security of dedicated hosting for critical applications alongside the scalability of cloud computing. The paper outlines the elements of hybrid hosting and how it provides flexibility, scalability, and cost savings through the ability to move workloads between dedicated servers and cloud servers. It also discusses Rackspace's hybrid hosting capabilities and AMD server platforms that support hybrid hosting.
This document provides an overview and analysis of the cloud-enabled managed hosting market, including definitions, use cases, and a Magic Quadrant evaluating major vendors. It discusses the strengths and weaknesses of six vendors - AT&T, CenturyLink, CSC, Datapipe, Dimension Data, and FireHost. Key findings include that no single vendor excels in all areas, customization is limited, and shorter contract terms are now common compared to traditional managed hosting.
Learn more about trending cloud adoption strategies from CompatibL’s Cloud Adoption Special Report 2019, including Azure and AWS cloud adoption frameworks, cloud adoption trends and strategies in mitigating enterprise risks, and the future of cloud computing in the banking industry.
This document discusses IBM's cloud storage solution for transforming information infrastructure. It provides three examples of how cloud storage could help organizations by allowing dynamic storage management: 1) A company running out of disk space on a Friday could non-disruptively add storage in the cloud. 2) Old storage systems can be replaced by migrating data to the cloud without downtime. 3) Cloud storage provides disaster recovery by replicating and accessing data in the cloud when primary storage fails.
IBM's cloud storage solution allows organizations to transform their information infrastructure by providing dynamic storage management, scalable capacity and performance, and centralized management. It implements a storage cloud using proven IBM technologies like GPFS and Tivoli Storage Manager. Administrators can dynamically allocate storage space, migrate data between storage tiers automatically using policies, and manage billions of files across multiple petabytes of storage from a single interface.
This document summarizes a Forrester Consulting study on private clouds. The study found that while enterprises want the cost benefits of private clouds, many are not realizing these benefits due to a lack of understanding of true cloud models and an underestimation of critical components like storage. Specifically, the study found that decision-makers were confused about private clouds versus virtualization; storage was being treated as "business as usual" without considering cloud implications; and storage was not a key consideration in decision-making processes. The document provides best practices for private cloud storage architectures to maximize efficiencies.
This document provides an overview of cloud computing, including its key benefits and challenges. It discusses the basics of cloud computing models like SaaS, PaaS, and IaaS. Public and private cloud options are described, as well as hybrid cloud. The main benefits of cloud computing are reduced costs, increased storage, and flexibility. However, key challenges include data security, availability, management capabilities, and regulatory compliance restrictions.
The paper aims to provide a means of understanding the model and exploring options available for complementing your technology and infrastructure needs.
Enterprise data centres have traditionally used servers and storage that typically scale only to a few nodes. Even small capacity or performance scales required large installation increments or worse, required replicating the existing IT infrastructure, which is prohibitive in terms of cost and space. An important impediment was that as storage capacity increased, system performance and efficiency suffered. In addition, IT budgets came under pressure and created high entry barriers to scale for enterprise class data centres. However, virtualization and cloud platforms are changing that. IT departments can now linearly scale to several server and storage nodes rapidly, for capacity and performance without compromising on efficiency and to keep costs under control. This helps save space via hardware consolidation, improves productivity, and derives a competitive advantage through increased availability, lean administration, and fast deployment times.
This white paper discusses cloud computing deployment and service models that SAS offers customers. There are three main cloud service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). There are also four primary cloud deployment models - public, private, community, and hybrid. The paper provides an overview of these models and discusses how SAS offers solutions that allow customers to deploy analytics in private, public and hybrid cloud environments. It also highlights the security, scalability and compliance capabilities needed to successfully deliver business analytics via the cloud.
This document discusses simplifying integration between cloud and on-premise applications. It notes that while deploying cloud apps may be straightforward, integrating them with existing systems can be complex, involving questions around data, processes, security, and governance. It introduces Oracle Fusion Middleware as a platform for unified development, management, security and monitoring of integrations. The platform provides centralized integration regardless of deployment model or vendor, hiding differences in APIs, security, and data models between cloud systems.
White Paper: Rethink Storage: Transform the Data Center with EMC ViPR Softwar...EMC
This white paper discusses the software-defined data center (SDCC) and challenges of heterogeneous storage silos in making SDDC a reality. It introduces EMC ViPR software-defined storage, which enables enterprise IT departments and service providers to transform physical storage arrays into simple, extensible, open virtual storage platform.
ACIC Rome & Veritas: High-Availability and Disaster Recovery ScenariosAccenture Italia
A white paper to illustrate High-Availability and Disaster Recovery Scenarios and use-cases developed by Accenture and Veritas in the Accenture Cloud Innovation Center of Rome.
The document provides an overview of microservice architecture as an emerging trend for software development. It begins by comparing microservices to traditional monolithic architectures, noting that microservices split applications into independent, scalable services. It then discusses benefits like improved deployment speed and scalability as well as drawbacks like increased complexity. Finally, it proposes a hybrid approach, using microservices only for components that truly require independent scaling and deployment.
This white paper discusses five considerations for securing hybrid clouds: 1) gaining constant visibility through continuous monitoring, 2) employing a workload-centric security model, 3) leveraging automation for operational efficiency, 4) applying the right control to the right assets, and 5) employing an integrated security solution for breadth and depth. Hybrid clouds are becoming more common as they allow organizations to take advantage of both internal and external cloud-based infrastructure. However, their dynamic nature presents new security challenges that require solutions designed specifically for hybrid cloud environments.
Modular blade server architectures address many challenges facing modern data centers by consolidating computing components into smaller, modular form factors that share resources to lower costs and complexity. Blades can satisfy computing needs for servers, desktops, networking and storage. They provide world-class solutions by delivering high performance, reliability, efficiency and scalability without disruption. Proper planning is required, but blade servers are highly efficient platforms for consolidating distributed servers into a common data center through their small size and ability to maximize resource utilization through virtualization.
Similar to Zimory White Paper: Challenges Implementing an IaaS Cloud Exchange (20)
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.
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:
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.