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000-578 exam Dumps Source : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3

Test Code : 000-578
Test designation : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3
Vendor designation : IBM
: 120 existent Questions

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IBM Fundamentals of Applying Tivoli

IBM Tivoli software for enterprise device management | killexams.com existent Questions and Pass4sure dumps

IBM Tivoli software is an enterprise system management platform with really expert components custom-made for IT administrators that control midsize and industry statistics facilities.

The Tivoli company of products includes dozens of application as a provider applications for IT infrastructures. essentially the most captious and significant programs for paraphernalia management are Tivoli Storage supervisor (TSM), Tivoli Monitoring and IBM Workload Automation.

TSM is an enterprise backup and data safety utility. Its modular product constitution presents data storage and security flexibility for diverse environments. Smaller agencies start with Storage manager, while better firms typically select the Storage manager prolonged version with extra catastrophe restoration and tape and disk support. Storage manager can too interface with VMware for digital environments through its vStorage API, and may returned up to VMware's vCloud. It additionally interfaces with virtual servers working Microsoft's Hyper-V.

The utility can too be managed either from the TSM Operations core or from VMware vCenter.

Tivoli Monitoring application, enjoy Storage supervisor, has assorted alternatives for implementation. where Storage supervisor ensures records safety, Tivoli Monitoring ensures infrastructure efficiency through featuring a single, quick-look view of capability usage, efficiency and fitness. The utility's constructed-in analytics engine makes it possible for administrators to tune a given workload's aid consumption to maintain away from inefficient provisioning.

Tivoli Monitoring for virtual Environments is a version of the software specially tailored to virtual techniques, and it consists of a special predictive analytics algorithm. The what-if analysis characteristic enables IT specialists to quicken fashions using genuine efficiency facts to verify how top of the line to installation their digital infrastructure.

IBM Workload Automation rounds out the leading programs administration suite with utility that mixes Tivoli Workload Scheduler with a cloud-useful resource supervisor to create enhanced automation and streamline administrative tasks. enjoy Tivoli Monitoring, Workload Automation has a simulation and forecasting add-on so administrators can model workflows to gauge aid consumption and time of entirety. Workload Automation integrates with Tivoli service Automation manager to installation and maneuver cloud computing features.

Budgeting for Tivoli

When it involves pricing and availability, each product is as entertaining as the provider it offers. Tivoli Storage manager is a household of items, with Storage manager as its flagship utility. a erudition insurance blueprint and recovery version -- Storage supervisor FastBack -- is attainable for a free trial. the entire Storage manager application is round $44.50 for a ten processor cost unit (PVU) license. then again, a consumer license fees round $eighty three.seventy five.

IBM's Tivoli Monitoring suite additionally gifts a number of options. The Tivoli Monitoring product is a seize-all monitoring gadget for a corporation's IT infrastructure, and costs round $437 per aid cost unit (RVU) license. An RVU license is akin to a PVU license, however relies upon the number of processors used. Tivoli Monitoring for digital Environments is certain to virtual servers and hypervisors, and costs $511 per RVU license.

In contrast to the different two, Tivoli Workload Automation is a separate software equipment, and begins at around $fifty four.50 for a 10-job license.


From deep researching To statistics Science: every puny thing You requisite to be vigilant of | killexams.com existent Questions and Pass4sure dumps

Many individuals in the tech world now hold an excellent knowing of AI. Others are just getting bar not any started and asking questions like: What are the variations between deep studying and laptop studying? How are they distinct, and the course can they improvement organizations?

companies and their leaders who want to collect started should noiseless first collect commonplace with the fundamentals of deep studying and the corresponding terminology, in addition to engage into account the existing challenges to AI adoption and how to handle them. in this article, I’ll aim to provide a definitive overview of the theme, together with links to a few materials that you may too discover useful.

What’s the change between statistics analytics, laptop learning, and deep gaining erudition of?

Let’s nascence with defining the term “records science.” information science is a huge box that covers everything related to statistics cleaning, practise and analysis. This comprises facts, mathematics, programming, and inventive difficulty-solving to extract assistance and insights from information. When GPU acceleration is used to enrich the performance of records science workflows, they designation this “accelerated data science.”

In contrast, statistics analytics, machine studying, and deep getting to know are primary procedures to fixing complications within the box of records science.

How statistics analytics, machine studying, and deep studying apt in the higher lifelike of facts science.NVIDIA

information analytics has been around for rather a while, and is used to examine facts sets as a course to draw conclusions about the counsel they embrace the use of correlation, statistical modelling and different methods.

computing device learning makes use of information suggestions to assemble a model from accompanied facts. It often relies on human-described classifiers or “characteristic extractors” that may too be so simple as a linear regression, or the a puny greater advanced “Bag of phrases” analysis approach that made e mail spam filters possible returned in the late 1980’s.

Then they invented smartphones, webcams, companionable media services, and every benign of sensors that generate huge mountains of information. This introduced on the original problem of opting for the many aspects in the data— and the correlations between them that definitely count. That’s the site deep studying comes in.

Deep learning is a computer learning manner that automates the introduction of those “function extractors” via a procedure referred to as “function engineering,” which makes use of tremendous quantities of information to instruct advanced “deep neural networks” (DNN). DNNs are capable of achieving human-stage accuracy for many tasks, however require colossal computational power to teach.

Deep researching and past - how AI, deep gaining erudition of, laptop discovering, and analytics healthy.NVIDIA

How businesses are leveraging accelerated information science

Many businesses, organizations, and even governments are realizing that accelerated data science can aid them be extra efficacious and greater effective. for example, the healthcare trade advantages from accelerated records science in lots of approaches, together with:

  • more desirable prediction of ailment drivers with genomic medicine
  • more suitable health outcomes via evaluation of electronic clinical statistics
  • Predictively examine the most fulfilling remedy for a wide compass of fitness situations
  • an extra instance is the power and utilities trade, where advantages of accelerated facts science consist of:

  • Optimized energy distribution in smart grids
  • reduced outages with predictive maintenance
  • across industries, organizations can use accelerated information science to research customer data to better product building, video display IT methods and physical amenities for anomalies and threats, and enhance customer enterprise intelligence stories for enterprise resolution makers.

    Challenges agencies visage when first adopting deep getting to know

    There are just a few challenges that agencies and researchers may compass across when adopting deep studying.

  • Getting used to a manufacturer-new computing model. Most facts scientists, developers and researchers don’t hold loads of journey working with it yet, and to solemnize deep researching easily you requisite to find out how to manner problems a puny otherwise… from a greater data-centric standpoint.
  • rapidly evolving algorithms. deep studying algorithms proceed to enhance (and intensely immediately), so maintaining with bar not any of the newest advances that can too capitalize your labor can require tremendous time & effort.
  • working towards deep neural networks requires mammoth compute vigor. So, you deserve to blueprint your projects to engage talents of tall efficiency computing systems that can manner massive quantities of records promptly.
  • Don’t be troubled: I too hold options. Watch my free webinar recording to be taught more in regards to the tools and elements corporations use to overcome these challenges when adopting deep studying, together with additional information on issues like:

  • more examples of accelerated facts science and how your solid can improvement
  • How deep neural networks are educated, optimized and deployed in purposes,
  • ideas to encourage you collect started the usage of deep gaining erudition of on your personal applications.
  • substances for you and your crew to abide an expert and access essentially the most imperative tools
  • How Do I live informed on every puny thing I requisite to know about deep gaining erudition of?

    beyond the free webinar, I additionally intimate attending the GPU technology conference on March 17-21, 2019 in San Jose, California. With over 600 classes and very nearly 10,000 builders, researchers and information scientists attending, that you could espy the fanciful labor being accomplished with AI throughout industries, meet the consultants leading the AI revolution, and learn how to rehearse the technologies you espy to your own initiatives.

    Key audio system are coming from Google, Amazon, Microsoft, IBM, fb, Uber, BMW, a number of main universities and countrywide labs, to designation a couple of. that you could store 25% on registration with my very own code, NVWRAMEY.

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    In Case IBM Tumbles | killexams.com existent Questions and Pass4sure dumps

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    Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3

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    Service delivery management: Integrating IT management tools | killexams.com existent questions and Pass4sure dumps

    Every company has its enterprise network management software ninjas who launch into action when alerts depart off or users complain – not to ensure an internal service level agreement but to determine whether the problem is a network issue at all.

    In fact, every IT silo -- servers, applications, storage -- has these ninjas running their own tools in isolation from one another, bar not any hoping to prove the problem is someone else's fault.

    In the meantime, crucial applications fulfill poorly. So, for many enterprises, this finger-pointing just isn't respectable enough anymore. That's why network management software vendors and IT management vendors are pitiable toward service assurance strategies in which bar not any IT management tools, including enterprise network management software, feed into a separate service delivery management console that gives applications teams, IT executives and industry unit managers a unified view of how the entire IT infrastructure works together to deliver an application. When something goes wrong, the IT silos can labor together to resolve the issue rather than retreating to their individual toolsets.

    CA Technologies has reorganized much of its IT management portfolio into a service delivery management product line in which many of its tools, including recently acquired NetQoS Performance Center, roll into a CA Spectrum Service Assurance console. Today, NetScout introduced nGenius Service Delivery Manager, which takes the network traffic collection capabilities of the company's enterprise network management software and gives customers a high-level view of how different components of IT infrastructure are working together to deliver applications. NetScout has too designed the product to integrate with some of the major IT management vendors' products, including IBM Tivoli and HP Openview.

    How one service delivery management model works

    For the final two years, Craig Yappert has been leading the effort to institute a service delivery management model at Oracle, where he serves as senior director of enterprise monitoring solutions for the company's global IT organization. He has been working to combine network management tools from Monolith Software and NetScout with Oracle's own Enterprise Management product and an internal configuration management database (CMDB) into a custom-built service assurance platform. The project has led to a transformation of how Oracle troubleshoots its internal applications.

    "In the past … a encourage desk ticket … would depart to the team liable for the application, and they would commence troubleshooting. The server team would depart off and try to unravel the problem. The application team would try to unravel the problem. The storage team would try to unravel the problem and the network team would try to unravel the problem," Yappert said. "Having a consolidated view of what is going on internally reduces the time and the complexity of communication [between silos]…. They're working from an application layer into a network layer, and they can say, 'The understanding we're having a problem is because the firewall is overloaded.'"

    Service delivery management too enables network managers to cull trends from network monitoring data in a more proactive manner.

    "We can yelp from a capacity perspective, this is what your service looks like," Yappert said. "We're seeing a lot of network activity enlarge from month to month, and we're seeing an enlarge in storage activity. They espy that you're pitiable a lot of data from storage to your application layer across the network. They requisite to optimize that. Maybe they requisite to peep at a original architecture, or they can peep at partitioning you off and giving you more bandwidth."

    Network managers should be ready for a service assurance initiative or internal SLA

    Networking teams hold to maintain their eye on the emergence of service assurance models in their companies, since they typically don't drive the shift toward service delivery management.

    "The network guys are typically the final ones invited to the party," said Jim Frey, research director for Enterprise Management Associates. "Service assurance usually comes from the CIO down. It usually starts at the encourage desk and moves into application uphold and then into the data center. Then the network guys collect brought in after that."

    Network managers shouldn't sit and wait for it to happen, however. They should fabricate certain that the enterprise network management software they hold today will apt inside a service assurance model.

    "Every network monitoring appliance over time needs to understand how to present the data they collect in a business-oriented or service-oriented manner," Frey said. "You've got to be able to provide information back to the operations team that says what services are affected [by an event] and what industry group this is affecting. Those that are piece of a broader suite can Do it intrinsically. Those that aren't hold to integrate with someone who has a service assurance model."

    Yappert recently replaced a legacy network monitoring product with a product from Monolith Software because it had open APIs that Oracle could use to integrate the product into its overall service delivery management technology.

    "When they select vendors now, and what they are driving existing vendors to do, is to ensure they provide us with open APIs so they can access information and repurpose that information to apt the specific needs of the industry rather than changing their industry needs to apt the tool," he said.

    Service delivery management begins with the perquisite tools

    Jason Hall, director of IT systems for furniture retailer Rooms To Go, is a CA customer who uses many of the enterprise network management software and application management software products that fabricate up CA's service assurance package. His company uses CA NSM, CA Spectrum Infrastructure Manager and CA eHealth Performance Manager. Hall is not quite ready to add the Spectrum Service Assurance product to tie it bar not any together because he simply has too many other projects on his plate at the moment.

    However, he recently added NetQoS Performance hub to fill a gap in the company's ability to manage and monitor application performance and bandwidth utilization, which has given him the basic tools to start managing infrastructure from a service delivery management perspective. Before installing NetQoS, Hall had no visibility into how intermission users were experiencing application and service performance across the WAN or LAN.

    "It was purely the intermission user," he said. "We waited for someone to call. Operationally, that gives the intermission user the perspective that the systems are slow … and that we're not doing anything about it. It decreases their aplomb in the actual systems. Sneakernet is never a reliable source of information. Once it gets to the third person, the information is not that respectable anymore. You intermission up chasing phantoms existent quick."

    Hall said that adding NetQoS's performance management capabilities to his suite of tools has helped him monitor the delivery of captious centralized applications, such as a point of sale application that is used by bar not any of his company's stores. It's too helped him unravel some service delivery mysteries, particularly with his company's intranet.

    "We discovered that the server [hosting the intranet] was pretty much awful," he said. "We'd had people complain. The developers looked at the application and said, 'We don't espy anything.' They went back and forth with them."

    Hall's team used NetQoS to demonstrate that the network was performing just fine when delivering intranet applications, and they were able seclude the problem to the server.

    Ultimately, Hall wants to combine bar not any his management tools into a separate service assurance console. That way, he will avoid jumping from console to console to find the answers.

    "That's exactly it … being able to collect the answer quicker with a unified view and being able to tie it bar not any together instead of having the pieces and the slices spread around," he said. "That is a site they requisite to head to, but perquisite now I just don't hold the time to undertake another project."

    Let us know what you mediate about the story; email: Shamus McGillicuddy, news Editor


    IBM Named Leader in Gartner's Magic Quadrant for Data hub Backup and Recovery Software | killexams.com existent questions and Pass4sure dumps

    ARMONK, N.Y., June 20, 2016 /PRNewswire/ -- IBM (NYSE: IBM) has been recognized as a storage software Leader in the Gartner Magic Quadrant for Data hub Backup and Recovery Software1. In its Magic Quadrants, Gartner analysts evaluate technology and solutions with an 'Ability to Execute' and a 'Completeness of Vision'.

    IBM Corporation logo.

    IBM has a broad portfolio of data backup and recovery software that helps clients to protect data through a hybrid cloud model or on-premises, and is designed to fabricate back-up and recovery of primary storage economical and dependable. IBM Spectrum Protect, enables advanced data backup and data recovery for virtual, physical, cloud and software defined environments.

    IBM Spectrum Protect industry partner, Cobalt Iron delivers enterprise-class cloud data protection Software as a Service (SaaS). The company developed its Adaptive Data Protection SaaS product using IBM Spectrum Protect as a core embedded application. Its hybrid cloud offering takes odds of the deduplication, replication and compression capabilities of Spectrum Protect. This helps Cobalt Iron customers capitalize from the scale, efficiencies and analytics in the cloud.

    Cobalt Iron's clients visage the challenge to adequately and cost effectively protect exploding volumes of data. Its hybrid cloud SaaS solution provides clients of bar not any sizes, across banking, healthcare and insurance industries, the unique capabilities of cloud including a pay as you grow model.

    "Whether their customers select to backup data for compliance reasons or to maintain tall availability of applications they're always seeking to circumscribe costs," said Richard Spurlock, CEO and Founder, Cobalt Iron. "Through the elimination of proprietary hardware stacks and appliances, IBM Spectrum Protect helps their customers save up to 75 percent in backup costs. In addition backup times hold been reduced by up to 80 percent due to the performance capabilities achieved through IBM Spectrum Protect deduplication, replication and management capabilities."

    By leveraging IBM Spectrum Protect's industry leading data deduplication, compression and encryption, today Cobalt Iron's ADP v3.2 can deliver millions of backup jobs per month.

    "IBM leadership in data storage backup and recovery begins with the capabilities  enjoy incremental forever backups, which unlike competitive backup methodologies that often require plenary backups, eliminates the requisite to conduct plenary backups," said Bina Hallman, Vice President, Offering Management Executive, IBM Software Defined Storage Solutions. "Through IBM Spectrum Protect, their clients are able to reduce cost and complexity of data protection and can confidently recover data anytime, anywhere -- from on premises or stored in the cloud."

    Leaders in the Magic Quadrant for Data hub Backup and Recovery Software  According to Gartner, "Leaders hold the highest combined measures of ability to Execute and Completeness of Vision. They hold the most comprehensive and scalable product portfolios. They hold a proven track record of established market presence and financial performance. For vision, they are perceived in the industry as thought leaders, and hold well-articulated plans for enhancing recovery capabilities, improving ease of deployment and administration, and increasing their scalability and product breadth. A fundamental sea change is occurring in the backup and recovery market. For vendors to hold long-term success, they must blueprint to address the legacy requirements of traditional backup and recovery, while looking to expand their integration with and exploitation of emerging applications, hypervisors, snapshot and replication technologies, and public cloud capabilities. A cornerstone for Leaders is the ability to articulate how original requirements will be addressed as piece of their vision for recovery management. As a group, Leaders can be expected to be considered piece of most original purchase proposals and hold tall success rates in winning original business. This does not mean, however, that a large market participate lonely is a primary indicator of a Leader. Leaders are strategic vendors, well-positioned for the future, having established success in meeting the needs of upper midsize and large data centers."

    To view the plenary report, visit http://www.gartner.com/reprints/ibm?id=1-394O3O9&ct=160609&st=sg

    For more information about IBM Spectrum Protect, visit http://www-01.ibm.com/software/tivoli/csi/backup-recovery/resources.html and supervene us on twitter @ibmstorage.

    1 Gartner Magic Quadrant for Data hub Backup and Recovery Software by Dave Russell, Pushan Rinnen, Robert Rhame, June 8, 2016.

    Gartner does not endorse any vendor, product or service depicted in its research publications, and does not recommend technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims bar not any warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

    CONTACT: Greg Vitarelli (617) 455-9627 vitarelli@us.ibm.com

    Logo - http://photos.prnewswire.com/prnh/20090416/IBMLOGO

    To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/ibm-named-leader-in-gartners-magic-quadrant-for-data-center-backup-and-recovery-software-300287073.html

    SOURCE IBM

     


    Infrastructure as a Service Cloud Concepts | killexams.com existent questions and Pass4sure dumps

    This chapter is from the book 

    This section explores some of the use cases driving cloud computing. Cloud computing offers many advantages that are necessary for individual use cases. Infrastructure virtualization too opens up original possibilities and IT assets that traditional computing does not use. Finally, operating in a public Internet environment offers original collaboration possibilities while too introducing security challenges. espy “Use Cases and Interactions for Managing Clouds” [Distributed Management job Force, 2010] for more detail on use cases.

    Actors

    A number of actors collaborate together in cloud use cases. account this basic list.

  • Cloud service developer—Develops software and other assets for consumption on the cloud.
  • Cloud service consumer—Requests cloud resources and approves industry expenditures. Cloud service consumers can embrace users, administrators, and industry managers.
  • Cloud provider—Provides a cloud service to consumers.
  • Web Site Hosting

    Operating a web site that requires database access, supports considerable traffic, and possibly connects to enterprise systems requires complete control of one or more servers, to guarantee responsiveness to user requests. Servers supporting the web site must be hosted in a data hub with access from the public Internet. Traditionally, this has been achieved by renting space for physical servers in a hosting hub operated by a network provider far from the enterprise’s internal systems. With cloud computing, this can now be done by renting a virtual machine in a cloud hosting center. The web site can fabricate use of open source software, such as Apache HTTP Server, MySQL, and PHP; the so-called LAMP stack; or a Java™ stack, bar not any of which is readily available. Alternatively, enterprises might prefer to use commercially supported software, such as WebSphere® Application Server and DB2®, on either Linux® or Windows operating systems. bar not any these options are possible in IaaS clouds and, in particular, in the IBM SmartCloud Enterprise.

    Figure 1.1 shows a use case diagram for this scenario.

    Figure 1.1

    Figure 1.1. use case diagram for hosting a web site on the cloud

    When edifice the web site, the developer needs to create a virtual machine instance that will host the web and application servers needed. The developer can save an instance to an image when the progress of the site reaches a certain point or just for back-up purposes. Usually an administrator does not want to use an instance that a developer created. However, the administrator needs to know the hosting requirements in detail and might use an image that the developer saved or scripts that a developer created, as a starting point. In the process of maintaining the web site, an administrator might requisite to add storage and clone storage for back-up purposes. After cloning, the administrator might want to copy the data to some other location, so having it offline from the production web site would be an advantage. From the users’ perspective, users will be unaware that the web site is hosted in the cloud.

    The activities of the developer and administrator can be accomplished via a console with a graphical user interface, such as the one the IBM SmartCloud Enterprise provides. However, as time passes, many regular cloud users will automate with scripts. Command-line tools are pattern for these power users because they execute much faster than a user can click a mouse and navigate pages. Many power users hold cheat sheets for common operations, such as installing software and patches, that they can retrieve and edit as needed. They can save scripts for creating instances, saving images, and performing other operations along with the ease of the script collection.

    The main odds of using the cloud for this use case is that renting a virtual machine in a location where it is accessible from the Internet is considerably cheaper than placing physical machines in a data hub accessible from the Internet. Other cloud advantages too apply to this use case, including the rapid ability to substitute in a original virtual machine for a server experiencing a hardware fault.

    Short-Term Peak Workloads

    In the retail industry, workloads compass in short peaks at certain times of the year (notably, at Christmas) or coincide with advertising campaigns. Quickly adding capacity during these times is important. With their elastic ability to add servers as desired, clouds are pattern in this situation. Monitoring is necessary because user traffic varies from year to year based on economic conditions and other factors that fabricate predicting the workload difficult. The IBM SmartCloud Enterprise includes an IBM Tivoli Monitoring image in the catalog that can be helpful. Along with other images in the catalog, it can be rented for as long as needed, and no installation is necessary. device 1.2 shows a use case diagram for this scenario.

    Figure 1.2

    Figure 1.2. use case diagram for monitoring peak workloads

    As in the previous use case, bar not any actions required to Do this can be done in the console graphical user interface. However, scripts avoid repetitive labor and save administrators time.

    The main odds of the cloud in this use case is its elastic scalability.

    Proof-of-Concept

    Enterprises usually Do proof-of-concept or pilot studies of original technologies before committing to use them. External IT consultants are often invited to Do these proof-of-concepts. The consultants are typically under a lot of pressure to deliver a large quantity of computing capacity in a short term of time. If they Do not hold prior experience in this area, they generally hold puny hope of succeeding. Assets that they can engage from job to job are critical. The cloud can fabricate this easier by allowing saved images to be reused directly and to allow consultants and enterprise users to easily participate the same network space. This solution is a better one than requiring the consultant to transport physical machines, install everything on her or his laptop, or install bar not any the software on-site at the enterprise in a short term of time.

    Figure 1.3 shows a use case diagram for this scenario.

    Figure 1.3

    Figure 1.3. use case diagram for a proof-of-concept on the cloud

    Working in a public cloud environment with uphold for user administration is captious here, to allow the enterprise to add an account for the consultant. Alternatively, the consultant could use his or her account space and simply allow access via a network protocol such as HTTP. If the enterprise likes the proof-of-concept, it might want to use it long term. It can slip it to the company’s private network by saving an image and starting up an instance on its virtualization LAN. Table 1.2 compares a traditional proof-of-concept and a proof-of-concept on the cloud.

    Table 1.2. Comparison of Traditional and Cloud Environments for a Proof-of-Concept

    Traditional

    Cloud

    The consultant travels to the customer site.

    The consultant works over the Internet.

    The customer gives the consultant access to the enterprise network, matter to an approval workflow.

    The customer gives the consultant access to the cloud with account or specific virtual machines with cryptographic keys.

    Customer procures hardware for the pilot.

    Customer creates an instance with the self-service interface.

    The consultant works independently.

    The consultant pulls in experts for tall availability, performance, security, and so on for a few hours, as needed.

    The consultant cannot connect his or her laptop to the enterprise network and instead must use only tools that the customer makes available.

    The customer can use her or his favorite application lifecycle management tools on a laptop or available on the cloud.

    The consultant installs everything from scratch.

    The consultant starts up instances from prebuilt images.

    The server is repurposed after completion.

    Server instances are saved as images, and running instances are deleted.

    The cloud enables a different set of deliverables for proof-of-concept, pilot, beta programs, and consulting projects. In traditional environments, enterprise network constraints (especially security issues) often require consultants to labor with unfamiliar tools. This results in written reports documenting deployment steps and best practices that customers cannot easily consume. In other situations, consultants are left in a permanent uphold position long after the project has “finished.” The cloud enables a different set of deliverables, including virtual machine images, deployment topology models, and software bundles, as shown Table 1.3.

    Table 1.3. Comparison of Traditional and Cloud Project Artifacts

    Traditional

    Cloud

    Software installation program (time consuming to develop)

    Virtual machine image (capturing an instance with the click of a button)

    Written reports summarizing deployment steps

    Deployment topology models, automation scripts

    User documentation written from scratch

    Documentation reused from criterion images

    Configuration files in miscellaneous locations

    Asset added to cloud catalog

    Difficult uphold process

    Support via remote access to cloud

    The primary advantages of the cloud for this use case are elastic scalability, access from the Internet, and the capability to save and reuse projects assets.

    Extra Capacity

    In this scenario, the IT department runs out of computing resources, delaying in-house projects. The department rents resources on the cloud to meet the shortfall. A virtual private network is used to connect to a private virtual local zone network (VLAN) in the cloud to the enterprise network.

    Open Source/Enterprise Collaboration

    Recently, enterprises hold embraced the view of open source. However, this is best done in a controlled way. An organization might be unwilling to host an open source project on SourceForge or Apache but might want to use open source in a more controlled way. By hosting the project itself on the cloud, the enterprise maintains complete control over the project while noiseless gaining the advantages of an open source model.

    Outside contributors can fabricate use of these advantages:

  • Be given user accounts without granting access to the enterprise’s internal IT systems
  • Use a common set of progress tools hosted on the cloud
  • Storage System for Security Videos

    Some application domains consume huge amounts of data. Video files are one example. In addition to the files themselves, a management application must allow the videos to be accessed and store additional metadata about them. Hadoop, a freely available open source distributed file system capable of storing huge amounts of data, might fulfill the storage needs of such a security video management and access system. IaaS clouds are an pattern platform for hosting Hadoop and being able to add nodes to the cluster on demand.

    Business Scenario: IoT Data Hosting Provider

    To tie together the information presented in this book, this section describes how it can be used in a industry scenario. In this situation, the company IoT Data provides a hosting service for Internet-connected devices to store data. IoT Data’s industry services embrace the following:

  • Registering devices
  • Storing data from a device using a ease web service
  • Conducting HTML and programmatic searches of the data
  • Sharing the data in public, community, and commercial modes
  • IoT Data charges customers by gibibytes (GiB) of data stored and 10% of any data sold. For large customers, IoT Data too provide the entire suite of software for private hosting on the cloud itself. In this case, the changes are per virtual machine hour and depend on the size of the virtual machine (in addition to the per-GiB charge). A diagram showing the main actors and use cases for IoT Data is shown next.

    IoT Data does not hold a large budget to hire employees, so as much labor as possible has to be automated. IoT Data too cannot afford to buy servers, so it needs a pay-as-you-go model, such as a public cloud provides. In addition, the company has few resources to develop its own software and thus must leverage as much as possible from the cloud provider. This book explains how different technologies can meet IoT Data’s industry needs (however, they Do not actually write the code for doing so).



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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    000-578000-578
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    000-578000-578
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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