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C2010-517 - IBM Workload Automation V9.2 Implementation - Dump Information

Vendor : IBM
Exam Code : C2010-517
Exam Name : IBM Workload Automation V9.2 Implementation
Questions and Answers : 70 Q & A
Updated On : October 15, 2018
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C2010-517 Questions and Answers

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C2010-517 IBM Workload Automation V9.2 Implementation

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C2010-517 exam Dumps Source : IBM Workload Automation V9.2 Implementation

Test Code : C2010-517
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 size to extend vastly with the aid of the conclusion of 2025 | killexams.com Real Questions and Pass4sure dumps

manhattan, new york -- (SBWIRE) -- 10/31/2017 -- The pace of software construction within the IT industry is increasing and developers today are scrambling to discover new the right way to make their application birth method greater agile and scalable. moreover builders are working in advanced environments, coping with heterogeneous functions, databases and platforms. To accelerate the time from design to beginning, IT organizations can automate the process of creating batch jobs and work flows. These application are also obligatory to retain batch activity between disparate operating programs and business applications.

Workload Scheduling and Automation software is a device for automating IT procedures streamlining workflows. These utility support developers automate and combine enterprise and IT tactics, standalone projects and scripts spread across server environments. besides this, Workload Scheduling and Automation software also eliminates the need of guide scripting and manipulate cross-gadget dependencies to correlate changes with workflows as and when necessary. This makes it possible for IT to speed up the application delivery method leading to shortened time to market.

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

Workload Scheduling and Automation application Market: Drivers & Challenges

applications builders nowadays are experiencing a quick paced and dynamic environment where they're coping with a bunch of diverse working programs and business applications. Managing batch activity in in these heterogeneous environments requires guide scripting which is a time taking and mistake prone method. The need of automation to dispose of the manual scripting procedure is an enormous driver for the Workload Scheduling and Automation utility market. although, many groups should not have a good inner workload method and hence face challenges whereas offloading their techniques to a software. This serves as an important challenge whereas adopting a Workload Scheduling and Automation application.

Workload Scheduling and Automation software Market: Segmentation

Segmentation of Workload Scheduling and Automation software Market, with the aid of software class

Platform certain Schedulers:Platform certain schedulers akin to CRON (UNIX), Microsoft windows assignment Scheduler (home windows) & JES2 (IBM zOS) are developed into the working device and handiest permit scheduling of their native ambiance. These workload scheduling and automation software typically require some sort of scripting at the developer end and are confined in terms of functionalities and workload management

Standalone Scheduling utility:Standalone workload scheduling and automation software such as control-M by means of BMC, IBM Workload Scheduler and AutoSys by means of CA applied sciences are purposely constructed to manipulate functions and agenda tasks between programming environments and can control dependencies greater efficiently than Platform particular schedulers.

Workload Scheduling and Automation software Market: Regional Overview

North america is currently the biggest market for Workload Scheduling and Automation utility. EMEA is additionally expected to be a big market for Workload Scheduling and Automation application followed by using Asia Pacific.

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

Workload Scheduling and Automation utility Market: competitive panorama

Workload Scheduling and Automation application Market: Key gamers

IBM corporation, CA INC, ASG technologies group INC, superior techniques concepts INC, Cisco techniques INC, VMWare INC & Stonebranch INC are the leading players in Workload Scheduling and Automation application market.

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

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


Serverless functions vs. virtual Machines: a complete charge of possession assessment | killexams.com Real Questions and Pass4sure dumps

opposite to well-known belief, you could installation excessive-throughput workloads on larger-degree abstractions like serverless functions-as-a-carrier (Faas) in its place of defaulting to virtual machines.

This post explores relevant charge, performance, and availability issues for a total cost of ownership (TCO) comparison of virtual computer (VM) and serverless functions. We also highlight how this evaluation can also be used to examine serverless function expenses with average structures-as-a-service (PaaS) infrastructures.

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

This comparison makes use of IBM Cloud virtual Servers to enforce the VM option and IBM Cloud capabilities because the serverless platform. We modeled a excessive-availability utility that strategies about 2.5 billion request calls per day.

both the VM and Cloud functions deployments have right here commercial enterprise qualities:

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

    in this situation, the example utility runs on digital server cases with two processors and 4GB of memory. We used the common expense of pink Hat enterprise Linux (RHEL), windows, and CentOS [1], where the incoming load is distributed amongst the VMs the usage of a load balancer [3]. For each server, there are costs for automation tooling [2] and for labor for operational management projects (e.g., patching, monitoring, and many others.) [4]. We based the operational management can charge estimate on discussions with IBM area count consultants (SMEs).

    The same VM setup is deployed in three areas for resiliency applications. The pre-prod and production deployments include three regions. The trying out ambiance is just in one place.

    on account that load is usually fluctuating, the VM scenario requires some buffer ability to accommodate workload spikes. here is reflected in the calculation as "top-to-normal ratio." It addresses surprising peaks, which are very common even for "regular" workloads when looking on the load profile on a granular time scale. These spikes are so brief-term that any variety of VM-based mostly auto-scaling could be too sluggish to react. The conservative assumption made here is a 1:3 ratio (i.e., the peak is three times the general load), however there will also be extra excessive ratios. Values of up to 1:80 had been experienced. figure 1 illustrates exceptional-grained workload volatility.

    Image title

    under you will discover the expenses tallied for the VM situation, including infrastructure, operational administration equipment, and labor.

    Image title

    Serverless feature Platform

    The serverless feature provider — during this case, IBM Cloud services — executes actions (which can be items of code written in any language) based on specific requests or movements. An event might possibly be as simple as an HTTP request, a brand new checklist appearing in an IBM Cloudant database, or another experience going on within the context of an software.

    When creating a brand new action, the developer assigns the amount of memory to the motion for its execution. When the motion executes, Cloud services measures the time to serve the request. for instance, it could take 83 milliseconds to serve a request. For every request, multiply the amount of reminiscence assigned with the time taken to serve the request (rounded up to the subsequent 100ms) to reach at a GB-2nd price.

    This pay-per-request mannequin, in comparison to purchasing pre-allotted, coarse-grained VM ability, is what makes it possible for lots of the cost mark downs laid out in this document.

    We estimated that Cloud capabilities can manner about seventy five billion requests per month at a price akin to the VM-primarily based deployment. This corresponds to 2.5 billion requests per day or about 29,000 requests per 2d, assuming a steady workload 24×7. here's certainly an excessive case, but it surely makes it possible for a comparatively basic TCO evaluation. In regularly occurring, we predict Cloud capabilities to run at a fraction of the charge of VM-based mostly deployments for many workloads. Given the on-demand scaling of Cloud features, the charge is an identical no matter if requests are steady or if the load changes generally, as in determine 1.

    determine 3 shows cost calculations for the similar Cloud functions answer.

    Image title

    an additional potential for Cloud capabilities users is that GB-2d costs are the same inspite of the variety of availability zones or areas used. IBM Cloud deploys Cloud functions across three availability zones through default, at no extra cost.

    furthermore, Cloud features can also be deployed in distinctive regions at no incremental charges. this is a different property of the serverless cloud function model. This means makes it possible for customers to achieve more 9's of availability at no incremental cost. for example, a Cloud functions solution operating in three regions can are expecting ninety nine.9999999875% platform availability (Cloud services has 99.ninety five% availability per area, or 1-(1-0.9995) 3 for three areas), on the identical fee as if it might be deployed in precisely a single area.

    In distinction, a VM-based mostly deployment needs permanent skill in every individual availability zone and vicinity internet hosting the application, with the application working 24×7 in three availability zones for resiliency. the idea in each circumstances is that a worldwide load balancer offering a hundred% availability is used-if it has under one hundred% availability, that must be equally factored in.

    To additional in the reduction of the fees on the serverless facet, it is a common strategy to method routine/requests in bulk if that fits the nature of the workload, in preference to one characteristic invocation per adventure. here is an attractive method where managing a single adventure is terribly lightweight and most effective takes a fraction of a millisecond. each Cloud features invocation is charged no less than 100ms, so single light-weight requests may give away a lot of compute cycles. Conversely, if the nature of the workload enables, the software could send movements to Cloud functions in companies. For sub-millisecond services, one hundred or greater pursuits may well be processed in bulk in the 100ms window. by using doing that, the usual Cloud services price can drop even additional — during this case, through an element of one hundred. This knowledge isn't mirrored in our analysis but could be effectively introduced where applicable.

    Serverless computing has none of the ongoing infrastructure operational prices that the VM-based mostly solution incurs. For purchasers, there's nothing to control on the infrastructure level. These capabilities shift to IBM as the service company for Cloud capabilities. The GB-2nd charge is the handiest incremental cost in the TCO analysis for Cloud services.

    moreover expertise hard greenback cost benefits of a serverless implementation, we always see different merits, together with here:

  • Dramatically reduces the time-to-market due to its focus on the app code as opposed to the infrastructure.
  • Simplifies security management because of its high degree of abstraction. Vulnerabilities akin to Meltdown or Spectre are addressed transparently to the app developer.
  • Compliance requisites, corresponding to GDPR, can be addressed with a fraction of the effort it might take to update a customary VM-based solution.
  • This TCO evaluation is simply an example. every circumstance is different. We suggest using the baseline constitution we laid out and adjusting for particular issues.

    evaluation To traditional PaaS Infrastructures

    comparing traditional platform-as-a-carrier (PaaS) infrastructures with serverless cloud capabilities is similar to the VM evaluation (however not as severe) considering the fact that PaaS represents a far better degree of abstraction. the entire charge of PaaS can be big when costs for unused capacity, resiliency, automation, and management are blanketed.

    for instance, SiteSpirit, a Dutch IT enterprise presenting SaaS offerings for commute businesses, migrated the core of their utility from Cloud Foundry to Cloud capabilities, resulting in ninety% can charge reduction and 10x faster utility efficiency. that you can read the complete case study right here.

    a true-World Deployment instance

    An IBM client had an present VM-based utility used by way of enterprise Analysts to generate enterprise investment profiles. The answer sources company information from over 150 sources, together with Factiva, LexisNexis, Google search engine, and social media. It produces a speedy assessment report that summarizes a corporation's statistics in categories similar to Key avid gamers, M&A activities, prison, and many others. presently, it takes about three days to supply a quick assessment record. 10,000 swift evaluation reports are produced annually.

    The customer requested IBM to compare fees for solutions that could produce 300,000 quick evaluation studies per year and reduce the time to generate reports to less than one day.

    We looked at a few options to remodel the answer, including Containers, Cloud Foundry, and Cloud features. in addition, we estimated that the application re-development fees would be lowest using VMs or Cloud services, so we explored these two alternatives in detail.

    Image title

    figure 4 depicts the initial VM-primarily based structure for the solution as hosted on the general public cloud.

    within the VM-based application, a corporation's profile is generated as follows:

  • A business Analyst generates a request by way of the person Interface (UI) for a local of pastime, similar to "Stanford economic neighborhood."
  • A VM-based mostly IBM Watson Explorer engine (prior to now referred to as Watson information Explorer) pulls records for the supply entity from third-parties that license company records.
  • The Watson Explorer Engine crawls during the source records and aggregates tips for key metrics (e.g., criminal, Key players, etc.). The content material Analytics part analyzes structured and unstructured content in the source files. Entity analytics is carried out to identify entities (such as an individual named "Allen Stanford") and generate combination metrics.
  • The aggregated data is stored in an IBM Db2 database.
  • A quick assessment document is generated and offered within the UI.
  • enterprise Analysts are capable of view experiences and function searches on the mixture records.
  • This answer to produce 10,000 speedy evaluation stories per 12 months expenses approximately $a hundred and fifty,000 per yr.

    growth situation: VM-primarily based answer

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

    The VM-based mostly solution requires a excessive diploma of care, which is equipped by means of the customer. as an instance, middleware accessories — including IBM enterprise procedure management, Db2, and the mixing layer — should be monitored and managed. in the scaled-out solution, the variety of directors required to manage middleware components would increase.

    enlargement situation: IBM Cloud features

    The IBM team informed a brand new answer architecture according to IBM Cloud services that could with no trouble scale to help 300,000 quick assessment experiences per yr and generate reviews in below quarter-hour.

    determine 5 illustrates the Cloud features structure.

    Image title

    the brand new solution retains the procedure circulate of the historic structure and implements key capabilities as six serverless cloud functions:

  • Request administration: latest the Request administration web page and respond to a request to execute a brand new company analysis pastime.
  • Get Dataset: Request statistics from Import.IO and keep in IBM Cloud Object Storage (COS).
  • add and Tag Objects: As each and every object is pushed to COS, tag it with the company each object is associated with.
  • build summary record: Execute diverse WDS queries, query result publish-processing steps, and codify guidelines towards the enriched objects to put together statistics for the quick evaluation View.
  • Notifications: ship an e mail with a URL to the person that initiated the fast evaluation file request.
  • short Scan View service: current the brief Scan View page from the records stored within the Graph Database.
  • determine 6 summarizes the workload and pricing assumptions for the Cloud functions solution. every rapid assessment record request generates the recreation described to estimate the charge per record.

    Image title

    Key for figure 6:

  • QTY: The number of capabilities to execute for every swift assessment. A volume of "7" shows the 7 key areas where the quick assessment document is generated. document areas consist of "prison" and "Key players"
  • MS: Milliseconds of execution time
  • M: Megabytes of RAM allotted to execution
  • GBS: Gigabyte-Seconds of function execution
  • The estimated cost for IBM capabilities to generate 300,000 speedy assessment reviews is $18,143.83, or 300,000 * $0.060479, using the charge calculations in determine 6.

    The recommended answer has different cost add-ons beyond Cloud features, including right here:

  • Watson capabilities Studio
  • IBM Cloud Object Storage
  • JanusGraph DB
  • We estimated the total cost, together with IBM Cloud functions and other add-ons, would be $360,000 per year. in this state of affairs, the suggested IBM solution is approximately seventy five% less per 12 months than the full charge of the scaled-up VM environment.

    IBM Notices

    expenses are existing as of (the date) and subject to exchange with out observe.

    effects may additionally fluctuate depending on working environment.

    The experiences described listed here draw upon information and opinions provided by the purchasers. now not all users may also get the identical results.

    The efficiency data for this article became gathered in a controlled, remoted atmosphere. actual outcomes in different operating environments can also vary. whereas IBM has reviewed every item for accuracy in a particular circumstance, there is no make sure that others can obtain identical or equivalent results elsewhere.

    The responsibility for use of this assistance or imposing any of those suggestions is a consumer responsibility and depends upon the customer's or user's means to verify and combine them into their operating ambiance. purchasers or clients making an attempt to adapt these concepts to their own environments accomplish that at their personal risk. In no adventure shall IBM be chargeable for any hurt bobbing up from the use of this advice, together with however not restricted to, lack of facts, enterprise interruption, loss of earnings or lack of chance.

    Sources:

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

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

    [3] in keeping with discussions with IBM discipline count number experts related to server administration fees

    this article turned into in the beginning published on IBM's weblog.


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

     NEW DELHI: HCL and IBM spoke of that the organizations have entered a 15-yr partnership for automation and development and operations.

    "This partnership will enable us to focal point our technical groups on native cloud and cognitive solutions, in addition to business-particular opportunities," the groups talked about in a weblog submit.

    HCL will build features and functions on accurate of current IBM structures and items akin to Tivoli Workload Scheduler, Rational trying out, and Rational Modeling & building and utility for on-premises, hybrid and public cloud and utility as a service (SaaS) platforms.

    "construction and assist teams from IBM, who are professional in these items and offerings, will improvement from HCL’s powerful engineering heritage and way of life of empowerment. collectively, we will continue to increase and cloud-enable existing application, which is basic to the long-term success of our consumers," the put up added.

    Automation and DevOps utility are critical to the success of valued clientele attempting to turn into digital agencies.

    "Most respect these equipment allow them to improved react to today’s dynamic ambiance of recent cloud platform and cognitive options," the organizations talked about.

    whereas automation helps corporations successfully manage their workloads, devOps is now an important partof the software development process as it improves the speed, excellent and predictability of development initiatives, the submit added.


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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

    Marin Tracking US



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