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C9560-517 - IBM Workload Automation V9.2 Implementation - Dump Information

Vendor : IBM
Exam Code : C9560-517
Exam Name : IBM Workload Automation V9.2 Implementation
Questions and Answers : 70 Q & A
Updated On : October 15, 2018
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C9560-517 Questions and Answers

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C9560-517 IBM Workload Automation V9.2 Implementation

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C9560-517 exam Dumps Source : IBM Workload Automation V9.2 Implementation

Test Code : C9560-517
Test Name : IBM Workload Automation V9.2 Implementation
Vendor Name : IBM
Q&A : 70 Real Questions

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IBM IBM Workload Automation V9.2

Workload Scheduling and Automation utility Market measurement to expand tremendously by the conclusion of 2025 | killexams.com Real Questions and Pass4sure dumps

big apple, new york -- (SBWIRE) -- 10/31/2017 -- The speed of application development within the IT business is increasing and builders nowadays are scrambling to find new tips on how to make their software birth system greater agile and scalable. moreover builders are operating in complicated environments, dealing with heterogeneous purposes, databases and structures. To speed up the time from design to start, IT companies can automate the manner of developing batch jobs and work flows. These application are additionally mandatory to preserve batch recreation between disparate operating systems and company functions.

Workload Scheduling and Automation utility is a device for automating IT strategies streamlining workflows. These application support builders automate and combine enterprise and IT processes, standalone initiatives and scripts spread across server environments. in addition to this, Workload Scheduling and Automation utility additionally eliminates the need of guide scripting and manipulate go-system dependencies to correlate adjustments with workflows as and when mandatory. This makes it possible for IT to speed up the software start process leading to shortened time to market.

A sample of this report is obtainable upon request @ https://www.persistencemarketresearch.com/samples/18418

Workload Scheduling and Automation software Market: Drivers & Challenges

functions builders these days are experiencing a quick paced and dynamic atmosphere where they are dealing with a number of diverse working techniques and enterprise applications. Managing batch endeavor in in these heterogeneous environments requires manual scripting which is a time taking and error susceptible procedure. The want of automation to dispose of the guide scripting technique is an important driver for the Workload Scheduling and Automation utility market. although, many businesses shouldn't have a reliable inside workload procedure and hence face challenges while offloading their approaches to a utility. This serves as an important challenge while adopting a Workload Scheduling and Automation utility.

Workload Scheduling and Automation application Market: Segmentation

Segmentation of Workload Scheduling and Automation application Market, through software type

Platform specific Schedulers:Platform particular schedulers akin to CRON (UNIX), Microsoft windows project Scheduler (home windows) & JES2 (IBM zOS) are built into the working device and best enable scheduling in their native atmosphere. These workload scheduling and automation utility customarily require some type of scripting at the developer end and are restrained when it comes to functionalities and workload management

Standalone Scheduling software:Standalone workload scheduling and automation software equivalent to manage-M through BMC, IBM Workload Scheduler and AutoSys by means of CA applied sciences are purposely built to manipulate applications and schedule tasks between programming environments and can manage dependencies more successfully than Platform selected schedulers.

Workload Scheduling and Automation utility Market: Regional Overview

North america is presently the largest market for Workload Scheduling and Automation utility. EMEA is additionally expected to be a significant market for Workload Scheduling and Automation utility adopted by means of Asia Pacific.

To view TOC of this record is available upon request @ https://www.persistencemarketresearch.com/toc/18418

Workload Scheduling and Automation software Market: aggressive landscape

Workload Scheduling and Automation application Market: Key players

IBM agency, CA INC, ASG technologies community INC, advanced techniques ideas INC, Cisco methods INC, VMWare INC & Stonebranch INC are the main gamers in Workload Scheduling and Automation application market.

Workload Scheduling and Automation application Market: Key Contracts/ Agreements/ Acquisitions

In July 2017 IBM launched IBM services platform with Watson. With this platform IBM has integrated Watson's cognitive computing services to administration and automation of IT Operations.


Serverless features vs. digital Machines: a total charge of ownership comparison | killexams.com Real Questions and Pass4sure dumps

contrary to normal perception, that you may set up excessive-throughput workloads on bigger-level abstractions like serverless functions-as-a-carrier (Faas) as an alternative of defaulting to virtual machines.

This submit explores valuable cost, efficiency, and availability concerns for a total cost of possession (TCO) comparison of virtual laptop (VM) and serverless features. We additionally highlight how this analysis will also be used to compare serverless function costs with common systems-as-a-service (PaaS) infrastructures.

We suggest comparing both infrastructure and operational administration charges to achieve an apples-to-apples assessment and an correct TCO evaluation.

This comparison makes use of IBM Cloud virtual Servers to put into effect the VM alternative and IBM Cloud capabilities as the serverless platform. We modeled a high-availability utility that techniques about 2.5 billion request calls per day.

each the VM and Cloud features deployments have here enterprise qualities:

  • There are three environments in use for the application (production, pre-creation, and dev/check).
  • They install the production and pre-creation environments across three geographical cloud areas for resiliency- and latency-optimization applications.
  • They spread the deployment in every region throughout three availability zones to raise availability.
  • VM-based Deployment

    in this state of affairs, the example software runs on virtual server cases with two processors and 4GB of reminiscence. We used the regular cost of crimson Hat enterprise Linux (RHEL), home windows, and CentOS [1], the place the incoming load is dispensed amongst the VMs using a load balancer [3]. For every server, there are costs for automation tooling [2] and for labor for operational management projects (e.g., patching, monitoring, and so on.) [4]. We based mostly the operational management can charge estimate on discussions with IBM area be counted consultants (SMEs).

    The identical VM setup is deployed in three areas for resiliency purposes. The pre-prod and production deployments contain three regions. The checking out atmosphere is simply in one area.

    on account that load is constantly fluctuating, the VM situation requires some buffer means to accommodate workload spikes. here is mirrored within the calculation as "peak-to-usual ratio." It addresses unexpected peaks, that are very ordinary even for "constant" workloads when searching on the load profile on a granular time scale. These spikes are so brief-time period that any type of VM-based mostly auto-scaling would be too slow to react. The conservative assumption made here is a 1:3 ratio (i.e., the top is three times the commonplace load), but there can be extra severe ratios. Values of up to 1:80 were experienced. figure 1 illustrates exceptional-grained workload volatility.

    Image title

    beneath you'll locate the expenses tallied for the VM scenario, together with infrastructure, operational management tools, and labor.

    Image title

    Serverless function Platform

    The serverless function service — in this case, IBM Cloud capabilities — executes actions (which are items of code written in any language) in accordance with particular requests or activities. An adventure may be as simple as an HTTP request, a new record performing in an IBM Cloudant database, or every other adventure happening inside the context of an utility.

    When developing a new action, the developer assigns the quantity of memory to the motion for its execution. When the motion executes, Cloud services measures the time to serve the request. for instance, it might take eighty three milliseconds to serve a request. For every request, multiply the volume of reminiscence assigned with the time taken to serve the request (rounded as much as the next 100ms) to reach at a GB-2d value.

    This pay-per-request model, in comparison to buying pre-allotted, coarse-grained VM capacity, is what permits tons of the charge mark downs laid out in this document.

    We estimated that Cloud services can manner about 75 billion requests per 30 days at a cost akin to the VM-based deployment. This corresponds to 2.5 billion requests per day or about 29,000 requests per 2nd, assuming a gradual workload 24×7. here's evidently an severe case, however it enables a relatively fundamental TCO evaluation. In widely wide-spread, we are expecting Cloud features to run at a fraction of the can charge of VM-based mostly deployments for most workloads. Given the on-demand scaling of Cloud features, the can charge is the same even if requests are consistent or if the load adjustments generally, as in figure 1.

    determine 3 shows cost calculations for the comparable Cloud services solution.

    Image title

    a different knowledge for Cloud functions clients is that GB-2d fees are the identical even with the variety of availability zones or regions used. IBM Cloud deploys Cloud capabilities throughout three availability zones with the aid of default, at no further can charge.

    additionally, Cloud services can even be deployed in distinctive areas at no incremental expenses. here is a different property of the serverless cloud feature mannequin. This capacity allows purchasers to achieve greater 9's of availability at no incremental can charge. for instance, a Cloud features solution running in three areas can predict ninety nine.9999999875% platform availability (Cloud capabilities has 99.95% availability per vicinity, or 1-(1-0.9995) three for 3 areas), on the equal cost as if it could be deployed in only a single region.

    In distinction, a VM-based deployment wants everlasting ability in every particular person availability zone and vicinity internet hosting the application, with the application operating 24×7 in three availability zones for resiliency. the belief in each circumstances is that a worldwide load balancer providing one hundred% availability is used-if it has less than 100% availability, that has to be equally factored in.

    To additional cut back the prices on the serverless aspect, it is a standard approach to system pursuits/requests in bulk if that suits the character of the workload, rather than one characteristic invocation per experience. here's a pretty strategy the place dealing with a single adventure is very lightweight and most effective takes a fraction of a millisecond. each and every Cloud services invocation is charged at the least 100ms, so single lightweight requests might give away loads of compute cycles. Conversely, if the character of the workload allows, the utility could send hobbies to Cloud features in companies. For sub-millisecond features, one hundred or extra routine can be processed in bulk within the 100ms window. through doing that, the normal Cloud capabilities price can drop even extra — in this case, by using an element of one hundred. This capabilities is not reflected in our analysis but may be effectively introduced the place applicable.

    Serverless computing has not one of the ongoing infrastructure operational fees that the VM-primarily based answer incurs. For shoppers, there is nothing to manage on the infrastructure degree. These functions shift to IBM as the service provider for Cloud functions. The GB-2d can charge is the handiest incremental can charge within the TCO analysis for Cloud capabilities.

    besides competencies hard dollar cost merits of a serverless implementation, we regularly see different advantages, together with right here:

  • Dramatically reduces the time-to-market due to its focus on the app code in place of the infrastructure.
  • Simplifies safety management because of its excessive degree of abstraction. Vulnerabilities such as Meltdown or Spectre are addressed transparently to the app developer.
  • Compliance necessities, equivalent to GDPR, will also be addressed with a fraction of the trouble it could take to update a customary VM-based mostly answer.
  • This TCO evaluation is simply an example. each and every situation is different. We recommend using the baseline structure we laid out and adjusting for certain considerations.

    comparison To common PaaS Infrastructures

    comparing ordinary platform-as-a-carrier (PaaS) infrastructures with serverless cloud services is similar to the VM comparison (despite the fact no longer as intense) in view that PaaS represents an improved degree of abstraction. the whole charge of PaaS can be large when fees for unused capability, resiliency, automation, and administration are protected.

    as an example, SiteSpirit, a Dutch IT enterprise offering SaaS offerings for trip groups, migrated the core of their utility from Cloud Foundry to Cloud features, resulting in ninety% charge reduction and 10x quicker software efficiency. which you can examine the total case examine right here.

    a true-World Deployment illustration

    An IBM client had an latest VM-primarily based software used by company Analysts to generate business investment profiles. The solution sources company statistics from over a hundred and fifty sources, including Factiva, LexisNexis, Google search engine, and social media. It produces a quick assessment report that summarizes a corporation's facts in classes corresponding to Key players, M&A activities, felony, and many others. at the moment, it takes about three days to produce a rapid evaluation record. 10,000 speedy assessment stories are produced yearly.

    The client requested IBM to compare fees for options that could produce 300,000 swift assessment experiences per yr and cut back the time to generate studies to under sooner or later.

    We looked at a few options to remodel the solution, together with Containers, Cloud Foundry, and Cloud functions. furthermore, we estimated that the utility re-building prices would be lowest the use of VMs or Cloud capabilities, so we explored these two alternatives in aspect.

    Image title

    determine four depicts the initial VM-based mostly structure for the answer as hosted on the general public cloud.

    within the VM-based utility, an organization's profile is generated as follows:

  • A company Analyst generates a request via the user Interface (UI) for a local of hobby, corresponding to "Stanford economic community."
  • A VM-based IBM Watson Explorer engine (previously called Watson facts Explorer) pulls information for the source entity from third-events that license company records.
  • The Watson Explorer Engine crawls throughout the source information and aggregates suggestions for key metrics (e.g., criminal, Key gamers, and so forth.). The content material Analytics part analyzes structured and unstructured content in the source files. Entity analytics is carried out to establish entities (corresponding to someone named "Allen Stanford") and generate aggregate metrics.
  • The aggregated records is stored in an IBM Db2 database.
  • A rapid evaluation report is generated and presented in the UI.
  • business Analysts are able to view reviews and perform searches on the mixture data.
  • This solution to supply 10,000 quick assessment studies per yr charges about $a hundred and fifty,000 per yr.

    growth scenario: VM-primarily based answer

    We estimated that scaling the latest VM-based solution to produce 300,000 reviews per yr would can charge about $1.5 million per 12 months.

    The VM-based answer requires a excessive diploma of care, which is equipped by means of the client. as an example, middleware components — including IBM business process administration, Db2, and the combination layer — must be monitored and managed. in the scaled-out answer, the variety of administrators required to manage middleware add-ons would enhance.

    growth situation: IBM Cloud services

    The IBM crew counseled a new answer structure based on IBM Cloud features that would readily scale to assist 300,000 rapid evaluation reviews per yr and generate experiences in below 15 minutes.

    determine 5 illustrates the Cloud services structure.

    Image title

    the brand new answer retains the manner stream of the historical structure and implements key capabilities as six serverless cloud features:

  • Request administration: current the Request management page and reply to a request to execute a new enterprise research endeavor.
  • Get Dataset: Request facts from Import.IO and save in IBM Cloud Object Storage (COS).
  • upload and Tag Objects: As each object is pushed to COS, tag it with the enterprise each and every object is linked to.
  • build summary file: Execute numerous WDS queries, query effect put up-processing steps, and codify suggestions against the enriched objects to prepare statistics for the swift evaluation View.
  • Notifications: ship an e mail with a URL to the user that initiated the speedy evaluation document request.
  • quick Scan View service: latest the quick Scan View page from the facts stored within the Graph Database.
  • figure 6 summarizes the workload and pricing assumptions for the Cloud capabilities answer. each and every swift assessment report request generates the pastime described to estimate the can charge per record.

    Image title

    Key for determine 6:

  • QTY: The number of features to execute for each fast evaluation. A amount of "7" indicates the 7 key areas where the rapid assessment report is generated. file areas encompass "prison" and "Key gamers"
  • MS: Milliseconds of execution time
  • M: Megabytes of RAM allotted to execution
  • GBS: Gigabyte-Seconds of feature execution
  • The estimated can charge for IBM features to generate 300,000 fast assessment reports is $18,143.83, or 300,000 * $0.060479, using the cost calculations in determine 6.

    The informed solution has different charge accessories past Cloud capabilities, including right here:

  • Watson talents Studio
  • IBM Cloud Object Storage
  • JanusGraph DB
  • We estimated the entire charge, including IBM Cloud capabilities and other accessories, would be $360,000 per year. during this situation, the informed IBM solution is about seventy five% less per yr than the full can charge of the scaled-up VM environment.

    IBM Notices

    prices are latest as of (the date) and area to exchange with out observe.

    results can also range counting on working atmosphere.

    The experiences described listed here draw upon tips and opinions provided by way of the customers. not all users may additionally get the equal results.

    The performance information for this text changed into accumulated in a controlled, remoted environment. exact effects in different working environments might also vary. whereas IBM has reviewed every merchandise for accuracy in a particular condition, there isn't any guarantee that others can achieve identical or identical outcomes in other places.

    The responsibility to be used of this information or implementing any of these recommendations is a client responsibility and is dependent upon the client's or person's potential to look at various and integrate them into their operating environment. consumers or users attempting to adapt these ideas to their own environments achieve this at their personal risk. In no event shall IBM be responsible for any harm bobbing up from using this suggestions, including but not constrained to, loss of facts, business interruption, lack of income or loss of possibility.

    Sources:

    [1] https://www.ibm.com/cloud/digital-servers

    [2] Used the example calculation on this page, which is conservative for our scenario: https://console.bluemix.web/doctors/infrastructure/loadbalancer-service/pricing.html#pricing

    [3] in response to discussions with IBM subject remember consultants related to server management expenses

    this article became in the beginning posted on IBM's blog.


    HCL and IBM enter 15-year partnership | killexams.com Real Questions and Pass4sure dumps

     NEW DELHI: HCL and IBM stated that the agencies have entered a 15-yr partnership for automation and building and operations.

    "This partnership will permit us to focus our technical groups on native cloud and cognitive solutions, in addition to trade-selected alternatives," the corporations talked about in a weblog put up.

    HCL will build features and features on precise of latest IBM systems and products akin to Tivoli Workload Scheduler, Rational testing, and Rational Modeling & building and software for on-premises, hybrid and public cloud and application as a carrier (SaaS) structures.

    "development and aid teams from IBM, who are professional in these products and choices, will advantage from HCL’s potent engineering heritage and tradition of empowerment. collectively, we will continue to advance and cloud-allow existing utility, which is essential to the long-time period success of our clients," the put up brought.

    Automation and DevOps software are critical to the success of shoppers attempting to turn into digital companies.

    "Most admire these tools permit them to better react to nowadays’s dynamic atmosphere of latest cloud platform and cognitive solutions," the groups stated.

    while automation helps groups efficiently manage their workloads, devOps is now a vital partof the utility building method because it improves the velocity, great and predictability of construction projects, the publish brought.


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    IBM Workload Automation V9.2 Implementation

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    Serverless Functions vs. Virtual Machines: A Total Cost of Ownership Comparison | killexams.com real questions and Pass4sure dumps

    Contrary to popular belief, you can deploy high-throughput workloads on higher-level abstractions like serverless Functions-as-a-Service (Faas) instead of defaulting to virtual machines.

    This post explores relevant cost, performance, and availability issues for a Total Cost of Ownership (TCO) comparison of virtual machine (VM) and serverless functions. We also highlight how this analysis can be used to compare serverless function costs with traditional Platforms-as-a-service (PaaS) infrastructures.

    We recommend comparing both infrastructure and operational management costs to achieve an apples-to-apples comparison and an accurate TCO analysis.

    This comparison uses IBM Cloud Virtual Servers to implement the VM option and IBM Cloud Functions as the serverless platform. We modeled a high-availability application that processes about 2.5 billion request calls per day.

    Both the VM and Cloud Functions deployments have the following enterprise characteristics:

  • There are three environments in use for the application (production, pre-production, and dev/test).
  • They deploy the production and pre-production environments across three geographical cloud regions for resiliency- and latency-optimization purposes.
  • They spread the deployment in each region across three availability zones to increase availability.
  • VM-Based Deployment

    In this scenario, the example application runs on virtual server instances with two processors and 4GB of memory. We used the average price of Red Hat Enterprise Linux (RHEL), Windows, and CentOS [1], where the incoming load is distributed amongst the VMs using a load balancer [3]. For each server, there are costs for automation tooling [2] and for labor for operational management tasks (e.g., patching, monitoring, etc.) [4]. We based the operational management cost estimate on discussions with IBM Subject Matter Experts (SMEs).

    The same VM setup is deployed in three regions for resiliency purposes. The pre-prod and production deployments comprise three regions. The testing environment is just in one region.

    Given that load is usually fluctuating, the VM scenario requires some buffer capacity to accommodate workload spikes. This is reflected in the calculation as "peak-to-average ratio." It addresses sudden peaks, which are very common even for "constant" workloads when looking at the load profile on a granular time scale. These spikes are so short-term that any kind of VM-based auto-scaling would be too slow to react. The conservative assumption made here is a 1:3 ratio (i.e., the peak is three times the average load), but there can be more extreme ratios. Values of up to 1:80 have been experienced. Figure 1 illustrates fine-grained workload volatility.

    Image title

    Below you'll find the costs tallied for the VM scenario, including infrastructure, operational management tools, and labor.

    Image title

    Serverless Function Platform

    The serverless function service — in this case, IBM Cloud Functions — executes actions (which are pieces of code written in any language) in response to specific requests or events. An event might be as simple as an HTTP request, a new record appearing in an IBM Cloudant database, or any other event happening within the context of an application.

    When creating a new action, the developer assigns the amount of memory to the action for its execution. When the action executes, Cloud Functions measures the time to serve the request. For example, it might take 83 milliseconds to serve a request. For each request, multiply the amount of memory assigned with the time taken to serve the request (rounded up to the next 100ms) to arrive at a GB-second value.

    This pay-per-request model, compared to buying pre-allocated, coarse-grained VM capacity, is what enables much of the cost savings laid out in this document.

    We estimated that Cloud Functions can process about 75 billion requests per month at a cost comparable to the VM-based deployment. This corresponds to 2.5 billion requests per day or about 29,000 requests per second, assuming a steady workload 24×7. This is clearly an extreme case, but it enables a relatively simple TCO analysis. In general, we expect Cloud Functions to run at a fraction of the cost of VM-based deployments for most workloads. Given the on-demand scaling of Cloud Functions, the cost is the same whether requests are constant or if the load changes frequently, as in Figure 1.

    Figure 3 shows cost calculations for the comparable Cloud Functions solution.

    Image title

    Another advantage for Cloud Functions users is that GB-second costs are the same regardless of the number of availability zones or regions used. IBM Cloud deploys Cloud Functions across three availability zones by default, at no extra charge.

    Moreover, Cloud Functions can also be deployed in multiple regions at no incremental costs. This is a unique property of the serverless cloud function model. This capability enables customers to achieve more 9's of availability at no incremental cost. For example, a Cloud Functions solution running in three regions can expect 99.9999999875% platform availability (Cloud Functions has 99.95% availability per region, or 1-(1-0.9995) 3 for 3 regions), at the same price as if it would be deployed in just a single region.

    In contrast, a VM-based deployment needs permanent capacity in each individual availability zone and region hosting the application, with the application running 24×7 in three availability zones for resiliency. The assumption in both cases is that a global load balancer offering 100% availability is used-if it has less than 100% availability, that needs to be equally factored in.

    To further reduce the costs on the serverless side, it is a common approach to process events/requests in bulk if that fits the nature of the workload, rather than one function invocation per event. This is an attractive approach where handling a single event is very lightweight and only takes a fraction of a millisecond. Each Cloud Functions invocation is charged a minimum of 100ms, so single lightweight requests might give away lots of compute cycles. Conversely, if the nature of the workload permits, the application could send events to Cloud Functions in groups. For sub-millisecond functions, 100 or more events could be processed in bulk within the 100ms window. By doing that, the overall Cloud Functions price can drop even further — in this case, by a factor of 100. This advantage is not reflected in our analysis but could be easily added where applicable.

    Serverless computing has none of the ongoing infrastructure operational costs that the VM-based solution incurs. For customers, there is nothing to manage on the infrastructure level. These functions shift to IBM as the service provider for Cloud Functions. The GB-second cost is the only incremental cost in the TCO analysis for Cloud Functions.

    In addition to potential hard dollar cost advantages of a serverless implementation, we regularly see other benefits, including the following:

  • Dramatically reduces the time-to-market due to its focus on the app code rather than the infrastructure.
  • Simplifies security management due to its high level of abstraction. Vulnerabilities such as Meltdown or Spectre are addressed transparently to the app developer.
  • Compliance standards, such as GDPR, can be addressed with a fraction of the effort it would take to update a typical VM-based solution.
  • This TCO analysis is just an example. Each situation is different. We recommend using the baseline structure we laid out and adjusting for specific issues.

    Comparison To Traditional PaaS Infrastructures

    Comparing traditional platform-as-a-service (PaaS) infrastructures with serverless cloud functions is similar to the VM comparison (although not as extreme) since PaaS represents a higher level of abstraction. The total cost of PaaS can be significant when costs for unused capacity, resiliency, automation, and management are included.

    For example, SiteSpirit, a Dutch IT company providing SaaS offerings for travel companies, migrated the core of their application from Cloud Foundry to Cloud Functions, resulting in 90% cost reduction and 10x faster application performance. You can read the full case study here.

    A Real-World Deployment Example

    An IBM client had an existing VM-based application used by Business Analysts to generate company investment profiles. The solution sources company data from over 150 sources, including Factiva, LexisNexis, Google search engine, and social media. It produces a Rapid Assessment report that summarizes a company's data in categories such as Key Players, M&A activities, Legal, etc. Currently, it takes about three days to produce a Rapid Assessment Report. 10,000 Rapid Assessment Reports are produced annually.

    The client asked IBM to compare costs for solutions that could produce 300,000 Rapid Assessment Reports per year and reduce the time to generate reports to less than one day.

    We looked at several alternatives to redesign the solution, including Containers, Cloud Foundry, and Cloud Functions. Furthermore, we estimated that the application re-development costs would be lowest using VMs or Cloud Functions, so we explored these two options in detail.

    Image title

    Figure 4 depicts the initial VM-based architecture for the solution as hosted on the public cloud.

    In the VM-based application, a company's profile is generated as follows:

  • A Business Analyst generates a request via the User Interface (UI) for an area of interest, such as "Stanford Financial Group."
  • A VM-based IBM Watson Explorer engine (previously called Watson Data Explorer) pulls data for the source entity from third-parties that license company data.
  • The Watson Explorer Engine crawls through the source data and aggregates information for key metrics (e.g., Legal, Key Players, etc.). The Content Analytics component analyzes structured and unstructured content in the source documents. Entity analytics is performed to identify entities (such as an individual named "Allen Stanford") and generate aggregate metrics.
  • The aggregated data is stored in an IBM Db2 database.
  • A Rapid Assessment Report is generated and presented in the UI.
  • Business Analysts are able to view reports and perform searches on the aggregate data.
  • This solution to produce 10,000 Rapid Assessment Reports per year costs approximately $150,000 per year.

    Expansion Scenario: VM-Based Solution

    We estimated that scaling the existing VM-based solution to produce 300,000 reports per year would cost about $1.5 million per year.

    The VM-based solution requires a high degree of care, which is provided by the client. For example, middleware components — including IBM Business Process Management, Db2, and the integration layer — must be monitored and managed. In the scaled-out solution, the number of administrators required to manage middleware components would increase.

    Expansion Scenario: IBM Cloud Functions

    The IBM team recommended a new solution architecture based on IBM Cloud Functions that would easily scale to support 300,000 Rapid Assessment Reports per year and generate reports in under 15 minutes.

    Figure 5 illustrates the Cloud Functions architecture.

    Image title

    The new solution retains the process flow of the old architecture and implements key capabilities as six serverless cloud functions:

  • Request Management: Present the Request Management page and respond to a request to execute a new Company research activity.
  • Get Dataset: Request data from Import.IO and store in IBM Cloud Object Storage (COS).
  • Upload and Tag Objects: As each object is pushed to COS, tag it with the Company each object is associated with.
  • Build Summary Report: Execute multiple WDS queries, query result post-processing steps, and codify rules against the enriched objects to prepare data for the Rapid Assessment View.
  • Notifications: Send an email with a URL to the user that initiated the Rapid Assessment Report request.
  • Quick Scan View Service: Present the Quick Scan View Page from the data stored in the Graph Database.
  • Figure 6 summarizes the workload and pricing assumptions for the Cloud Functions solution. Each Rapid Assessment Report request generates the activity described to estimate the cost per report.

    Image title

    Key for Figure 6:

  • QTY: The number of functions to execute for each Rapid Assessment. A quantity of "7" indicates the 7 key areas where the Rapid Assessment Report is generated. Report areas include "Legal" and "Key Players"
  • MS: Milliseconds of execution time
  • M: Megabytes of RAM allocated to execution
  • GBS: Gigabyte-Seconds of function execution
  • The estimated cost for IBM Functions to generate 300,000 Rapid Assessment Reports is $18,143.83, or 300,000 * $0.060479, using the cost calculations in Figure 6.

    The recommended solution has other cost components beyond Cloud Functions, including the following:

  • Watson Knowledge Studio
  • IBM Cloud Object Storage
  • JanusGraph DB
  • We estimated the total cost, including IBM Cloud Functions and other components, would be $360,000 per year. In this scenario, the recommended IBM solution is approximately 75% less per year than the total cost of the scaled-up VM environment.

    IBM Notices

    Prices are current as of (the date) and subject to change without notice.

    Results may vary depending on operating environment.

    The experiences described in this article draw upon information and opinions provided by the clients. Not all users may get the same results.

    The performance data for this article was collected in a controlled, isolated environment. Actual results in other operating environments may vary. While IBM has reviewed each item for accuracy in a specific situation, there is no guarantee that others can achieve same or similar results elsewhere.

    The responsibility for use of this information or implementing any of these techniques is a customer responsibility and depends on the customer's or user's ability to test and integrate them into their operating environment. Customers or users trying to adapt these techniques to their own environments do so at their own risk. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity.

    Sources:

    [1] https://www.ibm.com/cloud/virtual-servers

    [2] Used the example calculation on this page, which is conservative for our scenario: https://console.bluemix.net/docs/infrastructure/loadbalancer-service/pricing.html#pricing

    [3] Based on discussions with IBM subject matter experts regarding server management costs

    This article was originally published on IBM's blog.


    ATS Group Partners with Cobalt Iron for Innovative, Analytics-Based Data Protection and Precise Service Delivery | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!ATS Group and Cobalt Iron both specialize in cloud, storage, and monitoring and both have strong ties to IBM. Together ... leveraging analytics and automation, enterprises can seamlessly migrate from ...

    ATS Group Partners with Cobalt Iron for Innovative, Analytics-Based… | killexams.com real questions and Pass4sure dumps

    ATS Group Partners with Cobalt Iron for Innovative, Analytics-Based Data Protection and Precise Service Delivery

    Innovative IT consulting & modern infrastructure solutions from the ATS Group

    The united solution between ATS and Cobalt Iron eliminates complexity, reduces management and avoids unplanned CAPEX expenses while setting new standards for data protection.

    MALVERN, Pa. (PRWEB) October 02, 2018

    The ATS Group, an industry leader in traditional and next-gen infrastructure IT solutions, announced today an integrated and collaborative data protection service offering in close partnership with Cobalt Iron, utilizing their industry leading Adaptive Data Protection (ADP) solution for enterprise backup.

    There are a multitude of challenges facing organizations today related to backing up and retrieving data. Environmental complexity has outgrown legacy infrastructure backup solutions. The data protection experts at the ATS Group have knowledge and experience to simplify operations and optimize the value of your IT investments. Whether it is compliance support, data disruption, analytics, or workloads in the cloud, ATS delivers the optimized, adaptive data protection solutions necessary for modern corporations.

    ATS Group and Cobalt Iron both specialize in cloud, storage, and monitoring and both have strong ties to IBM. Together the two organizations bring together the best of both worlds: innovative data protection with impeccable service delivery. This united solution offers diverse industry experience and a commitment to accelerating the use of analytics and cloud resources to save money, simplify operations, and increase value.

    Cobalt Iron ADP modernizes backup delivering the features and scale of enterprise data protection combined with the flexibility and economics of cloud consumption. ADP eliminates complexity, reduces management, scales easily from terabytes to exabytes, and provides the simplicity not found in backup technologies and tools today.

    KEY FEATURES

    Data protection services from the ATS Group are seamlessly delivered through cloud technology. Customers benefit from key data protection as a service (DPaaS) features including scalability enabled through expertly managed cloud environments to support even the most expansive collections of data assets as well as the flexibility of delivery methods. This resilience ensures that services and support can grow alongside an organization’s expanding needs and informational requirements.

    ATS’ data protection solution provides organizations with streamlined data migration from multiple, disparate backup and protection platforms, creating a unified, modern protection service supported by advanced cloud technologies. This includes key analytics, virtualization, encryption, and multi-cloud support features to reduce complications and limitations for data management. The ATS Group’s data protection solution sets a new standard for assertive information protection and backup.

    THE ATS ADVANTAGE

    Data protection services from the ATS Group enables several key advantages over other services:

    1. Migration services: ADP puts an end to the long, painful migration processes of the past. By leveraging analytics and automation, enterprises can seamlessly migrate from the past to the future.

    2. Implementation services: Based upon proven best practices, ATS delivers modern data protection in a fraction of the time required to deploy legacy products.

    3. Integration services: ATS’ RESTful API library and integration services were designed to ensure existing automation and management systems are respected and leveraged. ATS tightly integrates with existing, defined management layers including ServiceNow, Active Directory, and Remedy.

    4. Cost efficiency: Thanks to the flexibility, scalability, and seamless service delivery, the DPaaS solution represents a cost-effective way to ensure an organization’s most essential data assets are properly safeguarded. As a service offering, businesses simply need to maintain existing infrastructure assets without concerns to invest in additional hardware or software thus eliminating unplanned CAPEX.

    5. Advanced analytics: Data-driven benchmarks and indicators power key capabilities including workload automation, monitoring with associated alerting, and self-healing. Best of all, users can gain insight into these processes through a policy-driven dashboard.

    6. Exceptional management and delivery: Our data protection services enable organizations to put a team of experts in charge. IT managers can rest easy knowing these critical functions are being carried out with the utmost care from a vastly experienced team.

    ABOUT THE ATS GROUP

    As new tech emerges offering business advantages, enterprises need support and expertise that will enable them to reap the benefits. Based near Philadelphia, the ATS Group offers agile services aligned with modern IT innovations, providing a critical competitive edge. For almost 20 years, our consultants have worked together to provide independent and objective technical advice, creative infrastructure consulting and managed support services for organizations of all sizes. Our specialists help clients store, protect, and manage their data, while optimizing performance and efficiency. The ATS Group specializes in server and storage system integration, containerized workloads, high performance computing (HPC), software defined infrastructure, DevOps, data protection and storage management, cloud consulting, infrastructure performance management and real-time monitoring for cloud, on-premises and hybrid solutions. The ATS Group supports solutions from today’s top IT vendors including IBM, VMware, Oracle, AWS, Microsoft, Cisco, Lenovo, Pure Storage and Red Hat.

    Follow the ATS Group on LinkedIn and Twitter.

    ABOUT COBALT IRON

    Cobalt Iron is the global leader in SaaS-based enterprise data protection. The company was founded in 2013 to fundamentally change the way the world thinks about data protection. Through analytics and automation, Cobalt Iron enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture. By leveraging the cloud, Cobalt Iron reduces overall capex by more than 50 percent while eliminating backup failures and inefficiencies. Processing more than 7 million jobs a month for customers in 44 countries, Cobalt Iron delivers modern enterprise data protection for enterprise customers.

    Follow Cobalt Iron on LinkedIn and Twitter.

    Contact Author

    Kelly Nuckolls ATS Group+1 601.842.6443Email > Follow us onVisit website

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    IBM C9560-517 Exam (IBM Workload Automation V9.2 Implementation) Detailed Information



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