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C5050-380 - IBM Cloud Platform Solution Architect v2 - Dump Information

Vendor : IBM
Exam Code : C5050-380
Exam Name : IBM Cloud Platform Solution Architect v2
Questions and Answers : 63 Q & A
Updated On : November 15, 2018
PDF Download Mirror : C5050-380 Brain Dump
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C5050-380 Questions and Answers

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C5050-380 IBM Cloud Platform Solution Architect v2

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C5050-380 exam Dumps Source : IBM Cloud Platform Solution Architect v2

Test Code : C5050-380
Test Name : IBM Cloud Platform Solution Architect v2
Vendor Name : IBM
Q&A : 63 Real Questions

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IBM IBM Cloud Platform Solution

IBM to raise Hybrid Cloud Platform With $34B purple Hat buy | killexams.com Real Questions and Pass4sure dumps

overseas company Machines business enterprise IBM currently entered right into a definitive agreement to purchase purple Hat, Inc. RHT for approximately $34 billion in money.

The enterprise anticipates pink Hat buyout to enhance its earnings increase, free money stream and gross margin inside 365 days of completion. IBM additionally anticipates pink Hat purchase to support it in sustaining effective dividend growth.

With the buyout, IBM intends to supply agencies with market main hybrid cloud platform enabling them to shift their business purposes seamlessly to the cloud.

in the phrases of IBM’s chairman, president and CEO, GinniRometty, "IBM will turn into the realm's #1 hybrid cloud issuer, providing companies the most effective open cloud solution that will unlock the full cost of the cloud for his or her agencies.”

Per IBM’s analysis, “80% of company workloads have yet to flow to the cloud, held back by means of the proprietary nature of modern cloud market.” IBM intends to bridge the house through enabling records portability and information protection throughout dissimilar cloud structures on the returned of the buyout.

The acquisition is discipline to crimson Hat shareholders nod and different common regulatory approvals.

IBM anticipates completion of the deal in the latter half of 2019 through a mix of money and debt. because of this, red Hat shareholders will achieve $a hundred ninety.00 per share in cash, about 62.8% premium over the $116.68 rate on Oct 26, 2018 after market shut.

Following the news, IBM’s shares had been down very nearly 5% in pre-market exchange, while that of red Hat went up about 51%. specially, shares of IBM have misplaced 17.3% year to date, compared with the trade’s decline of eleven.eight%.

examining money & Debt place

IBM ended third-quarter 2018 with $14.70 billion in complete cash and marketable securities compared with $11.93 billion at the conclusion of 2d-quarter 2018. complete debt (including international financing) turned into $forty six.9 billion, up $1.four million from the outdated quarter.

IBM pronounced cash circulate from operations (with the exception of global Financing receivables) of $3.1 billion and generated free cash move of $2.2 billion within the third quarter.

in the third quarter, the business returned $2.1 billion to shareholders via dividends and share repurchases. on the end of the third quarter, the business had $1.four billion remaining under present buyback authorization.

meanwhile, pink Hat doesn't have any lengthy-term debt. The company pronounced total deferred revenue steadiness of $2.4 billion, up 17% yr over yr at the conclusion of the 2d quarter of fiscal 2019.

With the agreement announcement, IBM noted that it plans to shelve its share buyback program in 2020 and 2021, and goals to keep a leverage profile consistent with a mid to excessive single A credit standing.

fundamental Takeaways

the integration of purple Hat into IBM’s Hybrid Cloud is predicted to be clean, given both the companies allegiance to hybrid cloud and Linux. in addition, both the corporations have been companions for the past twenty years.

submit the buyout, IBM referred to that pink Hat will join IBM's Hybrid Cloud group as a separate entity. further, pink Hat will be led with the aid of its latest CEO, Jim Whitehurst, who will be a part of IBM's senior management crew. under IBM’s umbrella, red Hat's headquarters, amenities, manufacturers and practices will continue to be unaltered.

IBM and purple Hat will additionally continue to boost purple Hat’s partnerships with the likes of notable cloud suppliers. These consist of Amazon’s AMZN Amazon web functions, Microsoft’s MSFT Azure, Alibaba Cloud, Alphabet’s Google Cloud, among others, apart from IBM Cloud.

With the closure of the deal, crimson Hat is expected to extend its business globally via leveraging IBM’s commercial enterprise IT scale.

Strengthening Hybrid Cloud: A Masterstroke?

IBM’s fresh third-quarter financials had been combined. peculiarly, revenues of $18.76 billion lagged the Zacks Consensus Estimate of $19.10 billion and declined 2.1% on a year-over-yr basis. At steady forex (cc), revenues remained flat.

View pictures

Story Continues

overseas company Machines enterprise earnings (TTM)

View pictures

international business Machines service provider earnings (TTM) | international company Machines organisation Quote

The enterprise’s center of attention on Watson and mainframe enterprise isn’t paying off on the pace buyers anticipate it to. although, IBM Cloud remains the important thing to successful returned traders’ optimism concerning strength in enterprise’s business model.

in reality, in the third quarter, cloud revenues surged 13% from the yr-ago quarter to $4.6 billion. The annual run expense for cloud as-a-service revenues expanded 24% at cc on a year-over-yr basis to $11.four billion.

We believe IBM’s try and bolster its hybrid cloud company is probably going to pave the way for the company’s increase potentialities. The company estimates the value of its hybrid cloud enterprise at $19 billion.

specifically, the pioneer of the open supply building model, crimson Hat is leaving no stone unturned to expand its crimson Hat business Linux (“RHEL”) consumer base and publicity to hybrid cloud infrastructure. crimson Hat noted that its complete addressable market (TAM) is greater than $66 billion in size, with big publicity to Middleware, OS and Cloud administration.

red Hat’s OpenStack (makes use of RHEL to scale infrastructure throughout hybrid cloud) is a key catalyst. basically, red Hat mentioned revenues of $822.7 million in second-quarter fiscal 2019, which extended 13.7% 12 months over year, primarily pushed via effective demand for hybrid cloud technology options and aggressive move-selling.

other than the aforementioned elements, pink Hat’s expanding foothold across Asia Pacific is also predicted to raise IBM’s TAM publish buyout.

Conclusion

We expect red Hat’s addition to IBM Hybrid Cloud enterprise to assist IBM to revive its fortunes and pave the style for a strong and cozy hybrid cloud infrastructure. specially, the $34 billion deal is without doubt one of the terrific utility based mostly acquisitions, surpassing Microsoft’s LinkedIn purchase for $26.2 billion.

The deal is anticipated to pep up the cloud conflict in view that IBM’s Hybrid Cloud is poised neatly to benefit from sturdy company model of crimson Hat and its potent capabilities in offering hybrid cloud know-how options.

Zacks Rank

IBM includes a Zacks Rank #three (dangle). which you could see the complete checklist of nowadays’s Zacks #1 Rank (effective buy) shares here.

extra stock information: this is greater than the iPhone!

It could turn into the mom of all technological revolutions. Apple offered a mere 1 billion iPhones in 10 years but a brand new step forward is anticipated to generate more than 27 billion gadgets in exactly three years, making a $1.7 trillion market.

Zacks has simply launched a distinct file that spotlights this speedy-emerging phenomenon and 6 tickers for taking capabilities of it. if you don't purchase now, you may additionally kick yourself in 2020.  

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desire the latest thoughts from Zacks investment analysis? nowadays, you could download 7 most appropriate stocks for the subsequent 30 Days. click on to get this free file overseas business Machines supplier (IBM) : Free inventory analysis file Amazon.com, Inc. (AMZN) : Free stock evaluation document pink Hat, Inc. (RHT) : Free inventory analysis report Microsoft organisation (MSFT) : Free inventory evaluation report To read this text on Zacks.com click right here. Zacks investment analysis


tons of of leading global companies install IBM Cloud deepest | killexams.com Real Questions and Pass4sure dumps

TMCNet: Hundreds of Leading Global Enterprises Deploy IBM Cloud Private

tons of of main international organizations installation IBM Cloud inner most

to satisfy growing to be demand, IBM advances on-prem private cloud with new Watson AI capabilities

ARMONK, N.Y., Oct. 11, 2018 /CNW/ -- IBM (NYSE: IBM) has announced that in under twelve months seeing that the free up of IBM Cloud deepest – an open supply know-how that brings cloud capabilities to groups working on-premises IT programs – hundreds of leading agencies worldwide have became to the platform to help modernize their operations. They include New Zealand Police, China's Fuyao group, Japan's Aflac coverage, Turkey's credit bureau Kredi Kayit Bürosu and Brazil's fidelity country wide suggestions features.

IBM Corporation logo. (PRNewsFoto/IBM Corporation) (PRNewsFoto/) (PRNewsfoto/IBM)

building on this momentum, IBM is saying a slate of recent advanced facets for the on-premises deepest cloud platform, together with the integration of powerful AI capabilities reminiscent of IBM Watson Assistant and IBM Watson Speech-to-text, in addition to guide for additional public clouds, including the IBM Cloud. The updates provide shoppers with much more choice and flexibility for his or her IT journeys, and, for the first time, bring the vigour of IBM's Watson AI behind the business firewall.

IBM is releasing particulars of over a dozen corporations which might be driving transformation with IBM Cloud private, including:

  • New Zealand Police (NZP) is the usage of the newest technologies to transform its operations and raise its skill to address crime and retain the group secure. NZP is exploring how IBM Cloud private and Kubernetes containers can help to modernize its present programs as well as instantly launch new features corresponding to a cellular primarily based communications equipment for its officers.
  • Fuyao neighborhood is China's largest and most superior company of automotive glass providing Audi, Bentley, accepted Motors, Toyota and other correct vehicle makers. to fulfill becoming demand, Fuyao has embarked on a sensible Manufacturing initiative and is the use of IBM Cloud inner most to support combine the management of commercial enterprise purposes throughout its global manufacturing and enterprise operations, ensuring the free stream of counsel throughout the organization.
  • Aflac assurance, Aflac assurance, a leading issuer of clinical and melanoma assurance providing insurance plan to 1 in 4 households in Japan, has signed an agreement with IBM to assist simplify and automate its IT infrastructure. With IBM Cloud deepest, Aflac plans to boost the effectivity of its operations and pace up the construction of latest items and functions.
  • Kredi Kayit Bürosu (KKB) gives the countrywide cloud infrastructure for Turkey's finance industry. ultimate year KKB based a new information center in Ankara and is now using IBM cloud deepest to help consolidate and localize the banking programs of over one hundred fifty contributors together with banks and other monetary functions groups. With IBM Cloud private, KKB is in a position to pressure innovation throughout its economic services ecosystem whereas meeting the excessive standards for statistics protection and privateness.
  • Brazil's constancy country wide tips services (FIS), a world chief in price processing solutions for the economic industry, has adopted IBM Cloud deepest to help streamline credit card chargebacks for its Brazilian operations. IBM Cloud deepest is assisting FIS to orchestrate the a variety of IT techniques involved in reconciling and checking of transaction chargebacks while meeting the stringent regulatory necessities of the trade and assisting to steer clear of fraud.
  • "The cloud has advanced in a extremely short time from being a method to reduce prices to a platform for company transformation and innovation," observed Robin Hernandez, Director, IBM inner most Cloud providing management. "Our IBM Cloud deepest affords customers a transition to cloud it is designed to permit them to retain their on-premises programs on which they nonetheless depend for many mission-essential purposes and delicate statistics sets."

    putting AI interior the EnterpriseToday IBM is advancing IBM Cloud deepest even additional, announcing most important enhancements to the platform, ranging from AI capabilities to extra public cloud assist. starting these days, IBM Watson Speech-to-textual content is now accessible with the brand new IBM Cloud inner most edition three.1, making it the primary time the device is obtainable in an on-premises environment. With Watson Speech-to-text, clients can immediately transcribe and analyze audio from seven diverse languages.

    additionally, IBM Watson Assistant is now obtainable on IBM Cloud deepest. The Watson Assistant platform helps builders and non-technical clients to create conversational AI solutions, from elementary chatbots to complicated commercial enterprise grade options for consumer carrier and greater.

    IBM also announced nowadays that IBM Cloud inner most is now available on the IBM Public Cloud, to support valued clientele to quite simply circulation their commercial enterprise workloads from on-premises programs to the public cloud in order to create hybrid cloud environments.

    customer quote"IBM Cloud deepest is helping us to set up an conclusion-to-conclusion digital platform with the intention to underpin a wiser, more agile, and greater bendy company operating structure," said Mr. Lebing Xia, vice chairman and CIO of the Fuyao neighborhood. "And by way of enabling us to connect to other cloud-based mostly services like AI, Blockchain and IoT, we may be capable of get much more enterprise price from the cloud."

    Analyst quoteAccording to IDC's global Quarterly 2Q18 Cloud IT Infrastructure Tracker, September 2018, complete global spending on cloud IT infrastructure is expected to complete $62.2 billion in 2018 with 12 months-over-12 months increase of 31.1%. while public cloud datacenters will account for the majority of this spending, on-premises inner most clouds will account for very nearly 20% of the entire cloud IT infrastructure market, turning out to be at 19.three% yr over yr in 2018. "organisations have a variety of enterprise and IT needs some of that are neatly served by means of public cloud choices and a few which don't seem to be," said Natalya Yezhkova, analysis Director, IDC. "On-premises private cloud is a magnificent choice for based companies that are seeking for a gradual method for remodeling their firm while retaining manage of their IT infrastructure."

    About IBM CloudWith $18.5B in annual cloud revenue, IBM is the global chief in commercial enterprise cloud with a platform designed to satisfy the evolving wants of business and society. relocating previous productivity and cost improvements, the IBM Cloud is tuned for the AI and records demands which are riding proper differentiation in contemporary commercial enterprise. IBM's inner most, public and hybrid choices provide the international scale businesses should help innovation throughout industries.

    built on open source frameworks Docker containers and Cloud Foundry, and managed with the Kubernetes container structure, IBM Cloud inner most permits businesses to strengthen cloud-native functions and additionally modernize on-premises functions with the intention to set up them in both private cloud settings or the general public cloud of their option.

    Media contacts:Jonathan BattyIBM Media family members (Europe)jjbatty@ibm.com

    Michael ZimmermanIBM Media relations (US)mrzimmerman@us.ibm.com

    Notes for journalists and editorsExamples of alternative leading global enterprises transforming with IBM Cloud inner most:

    CNH Industrial, ItalyCNH Industrial, a leader within the capital goods sector operating within the agricultural and construction equipment, commercial automobiles, uniqueness vehicles and powertrain segments, has signed a multi-yr cloud agreement with IBM. during the deal it's going to use IBM Cloud deepest and Watson synthetic Intelligence to radically change its enterprise strategies - from manufacturing to give chain, sales & marketing and monetary functions. IBM Cloud inner most will assist CNH Industrial to optimize its management of commercial enterprise applications whereas nonetheless benefitting from the security of handle of its own on-premises infrastructure. The agility and adaptability of ICP has the lengthy-term skills of producing more suitable efficiencies in application building and will permit sooner time to market for brand new resourceful consumer services.

    Klirinski Interbankarski Sistemi ad Skopje (KIBS), Macedonia Klirinski Interbankarski Sistemi ad Skopje (KIBS), a Macedonia-primarily based charge gadget operator owned by means of 12 banks is working with IBM to seriously change fee clearing methods and help sooner the mixing of Macedonia's banking equipment with the eu. With IBM Cloud private KIBS can be in a position to consolidate and transform their present substances right into a "digital manufacturing unit" able to creating and working up to date cloud-native functions on the fly. it is hoped that this transformation will cut back time to market for new digital products from one-and-a-half years to just a number of months, while optimising operating expenses and helping KIBS' compliance activities regarding stringent banking regulations.

    Sentient.io, SingaporeSentient.io, one of Singapore's leading artificial Intelligence corporations, is working with IBM to carry on its mission to increase usual life through making human and computer interactions more natural and pervasive.Sentient.io has chosen the IBM Cloud private as a platform to host Singapore's first AI-as-a-provider (AaaS) platform to permit its consumers to radically change and automate their groups with AI capabilities equivalent to perception, understanding, self-researching and issue-solving. the usage of IBM Cloud inner most, Sentient.io will help government and enterprise consumers to fulfill strict statistics protection and privacy necessities, modernize present applications via relocating them to the cloud, and effectively manage the lifecycle of their digital assets.

    Ilmarinen, FinlandIlmarinen, the biggest inner most insurer in Finland chargeable for the pensions of over 1.1 million conclude residents and greater than EUR 45 billion in funding property, has shifted purposes to IBM Cloud deepest to permit it to enhance new digital services whereas maximizing its present IT infrastructure. with the aid of putting its application building pipeline onto IBM Cloud inner most, Ilmarinen is capable of greatly pace up construction cycles and cut back infrastructure charges, chopping the overall application release time from days to minutes. here is exceptionally critical with extended power on the area's pension systems as a result of an getting old population.

    Techniker Krankenkasse (TK), GermanyGermany's largest statutory medical health insurance fund Techniker Krankenkasse (TK) is the use of IBM Cloud inner most for a new service referred to as TK-secure which gives valued clientele with their medical insurance information by the use of their smartphone - despite time and location. IBM is already proposing tips as-a-provider to TK-protected's comfortable information vault which carries the encrypted health facts of TK's insurees across Germany. via an open service platform, TK-protected clients can benefit from new value-addedservices for his or her very own fitness care and are in a position to share tips with their physicians, hospitals and repair suppliers.

    Mangalore tuition, IndiaMangalore school, certainly one of India's accurate public training associations, will give new-age classes in emerging applied sciences via its affiliated schools and is leveraging the power of IBM Cloud inner most to deliver a common platform that will also be accessed remotely by way of any student. IBM Cloud deepest will run on the institution's IBM vigour servers as part of a complete solution which additionally contains QRadar, MaaS360 and Cognos application. The answer can be integrated by using Nihon communication solutions, an education birth companion of IBM, which is answerable for the birth of superior lessons on cybersecurity and large data Analytics and provides high-efficiency structures for network and protection purposes.

    SK Holdings C&C, Ltd., South KoreaSK Holdings C&C, a leading IT features company and IBM enterprise partner in South Korea grew to become to IBM Cloud private to straight away and easily package functions as containers and re-component them with IBM microservices. furthermore, the company is leveraging the software to assist clients modernize their legacy purposes and supply a cozy platform from which to run company essential application across each public and private clouds, in a true multi-cloud structure.

    Five9 Vietnam Corp., VietnamFive9 Vietnam is a fast-transforming into IT and cloud service company that provides its shoppers with every little thing from cellular and analytics application construction, to deepest and public cloud capabilities. The company has been the use of IBM Cloud inner most when you consider that April to design, strengthen, and kit functions as containers for easy deployment on the public cloud. From there, their shoppers can faucet into IBM microservices, such as analytics, AI and blockchain, to prolong their performance even extra.

    Cision View usual content material to down load multimedia:http://www.prnewswire.com/information-releases/a whole bunch-of-leading-global-organizations-installation-ibm-cloud-deepest-300729130.html

    source IBM

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    American airlines companions with IBM to make use of IBM Cloud for massive Cloud Transformation | killexams.com Real Questions and Pass4sure dumps

    Jun 30, 2017

    Stephanie Simone

    American airways will use IBM Cloud because the groundwork for a large cloud transformation designed to make inside methods greater productive, sooner, simpler and adaptable to superior deal with website traffic during excessive extent intervals.

    building on the strategic cloud partnership signed with IBM in 2016, American airways will migrate to the IBM Cloud a component of its vital functions, together with aa.com, its client-dealing with cellular app and its global network of check-in kiosks.

    additionally, different workloads and tools, such as the enterprise’s Cargo consumer website, will also be moved to the IBM Cloud.

    As a part of the solution, American and IBM will work together to movement crucial applications to the IBM Cloud. In parallel, the two agencies have teamed to rewrite these applications to the IBM Cloud Platform as a provider (PaaS), and set up a cloud-native architecture.

    As a part of this method, American will work with IBM international services to leverage IBM’s storage Methodology of creating ingenious functions instantly through a micro-services architecture, design pondering, agile methodology, DevOps, and lean construction.

    IBM Cloud will assist enable developers to right away construct and alter application functionalities for the airline’s purchasers. These consumer-facing systems should be on the IBM Public Cloud, while American keeps backend connectivity to different on-premise legacy and third-birthday celebration programs, for genuine Hybrid Cloud performance.

    For extra advice about this news, seek advice from www.ibm.com. 


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    IBM Cloud Platform Solution Architect v2

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    Comparing Kubernetes to Pivotal Cloud Foundry — A Developer’s Perspective | killexams.com real questions and Pass4sure dumps

    All this means that with PCF, your build artifact is your native deployment artifact, while in Kubernetes your build artifact is a docker image. With Kubernetes, you need to define the template for this docker image yourself in a Dockerfile, while in PCF you get this template automatically from a buildpack.

    Management Console Cloud Foundry

    PCF separates the web dashboard to two separate target audiences.

  • Ops Manager is targeted at the IT professional that is responsible for setting up the virtual machines or hardware that will be used to create the PCF cluster.
  • Apps Manager is targeted at the developer that is responsible for pushing application code to testing or production environments. The developer is completely unaware of the underlying infrastructure that runs its PCF cluster. All he can really see is the quotas assigned to his organization, such as memory limits.
  • Kubernetes

    Kubernetes takes a different approach. You get one dashboard to manage everything. Here’s a typical Kubernetes dashboard:

    As you can see from the left-hand side, there is a lot of data to process here. You have access to persistent volumes, daemons, definition of roles, replication controllers etc. It’s hard to focus on what are the developer’s needs and what are the IT needs. Some might tell you this is the same person in a Devops culture, and that’s a fair point. Still, in reality-it is a more confusing paradigm compared to a simple application manager.

    Command Line Interface Cloud Foundry

    Cloud foundry uses a command line interface called cf. It is a cli that lets you control all aspects of the developer interaction. Following in the footsteps of simplicity that you might have already noticed, the idea is to take an opinionated view to practically everything.

    For example, if you are in a folder that contains a spring boot jar file called myapp.jar, you can deploy this application to PCF with the following command:

    cf push myapp -p myapp.jar

    That’s it! That’s all you need. PCF will lookup the current working directory and find the jar executable. It will then download the java buildpack, create a container, calculate the required memory settings, delpoy it to the currently logged-in org and space in PCF, and set a route based on the application name:

    wabelhlp0655019:test odedia$ cf push myapp -p myapp.jar Updating app myapp in org OdedShopen / space production as user… OK Uploading myapp… Uploading app files from: /var/folders/_9/wrmt9t3915lczl7rf5spppl597l2l9/T/unzipped-app271943002 Uploading 977.4K, 148 files Done uploading OK Starting app myapp in org OdedShopen / space production as user…Downloading pcc_php_buildpack…Downloading binary_buildpack…Downloading python_buildpack…Downloading staticfile_buildpack…Downloading java_buildpack…Downloaded binary_buildpack (61.6K)Downloading ruby_buildpack…Downloaded ruby_buildpackDownloading nodejs_buildpack…Downloaded pcc_php_buildpack (951.7K)Downloading go_buildpack…Downloaded staticfile_buildpack (7.7M)Downloading ibm-websphere-liberty-buildpack…Downloaded nodejs_buildpack (111.6M)Downloaded ibm-websphere-liberty-buildpack (178.4M)Downloaded java_buildpack (224.8M)Downloading php_buildpack…Downloading dotnet_core_buildpack…Downloaded python_buildpack (341.6M)Downloaded go_buildpack (415.1M)Downloaded php_buildpack (341.7M)Downloaded dotnet_core_buildpack (919.8M)Creating containerSuccessfully created containerDownloading app package…Downloaded app package (40.7M)Staging…— — -> Java Buildpack Version: v3.18 |https://github.com/cloudfoundry/java-buildpack.git#841ecb2— — -> Downloading Open Jdk JRE 1.8.0_131 from https://java-buildpack.cloudfoundry.org/openjdk/trusty/x86_64/openjdk-1.8.0_131.tar.gz (found in cache)Expanding Open Jdk JRE to .java-buildpack/open_jdk_jre (1.1s)— — -> Downloading Open JDK Like Memory Calculator 2.0.2_RELEASE from https://java-buildpack.cloudfoundry.org/memory-calculator/trusty/x86_64/memory-calculator-2.0.2_RELEASE.tar.gz (found in cache)Memory Settings: -Xmx681574K -XX:MaxMetaspaceSize=104857K -Xss349K -Xms681574K -XX:MetaspaceSize=104857K — — -> Downloading Container Security Provider 1.5.0_RELEASE from https://java-buildpack.cloudfoundry.org/container-security-provider/container-security-provider-1.5.0_RELEASE.jar (found in cache) — — -> Downloading Spring Auto Reconfiguration 1.11.0_RELEASE from https://java-buildpack.cloudfoundry.org/auto-reconfiguration/auto-reconfiguration-1.11.0_RELEASE.jar (found in cache) Exit status 0Uploading droplet, build artifacts cache…Uploading build artifacts cache…Uploading droplet…Staging completeUploaded build artifacts cache (109B)Uploaded droplet (86.2M)Uploading completeDestroying containerSuccessfully destroyed container0 of 1 instances running, 1 starting0 of 1 instances running, 1 starting0 of 1 instances running, 1 starting0 of 1 instances running, 1 starting1 of 1 instances running

    Although you can start with barely any intervention, this doesn’t mean you give up any control. You have a lot of customizations available in PCF. You can define your own routes, set the number of instances, max memory and disk space, environment variables etc. All of this can be done in the cf cli or by having a manifest.yml file available as a parameter to the cf push command. A typical manifest.yml file can be as simple as the following:

    applications:- name: my-appmemory: 512Minstances: 2env:PARAM1: PARAM1VALUEPARAM2: PARAM2VALUE

    The main takeaway is this: with PCF, provide the information you know, and the platform will imply the rest. Cloud Foundry’s haiku is:

    Here’s my code

    Run it on the cloud for me.

    I don’t care how.

    Kubernetes

    In kubernetes, you interact with the kubectl cli. The commands are not complicated at all, but there is still a higher learning curve from what I’ve experienced so far.

    For starters, a basic assumption is that you have a private docker registry available and configured (unless you only plan to deploy images available on public registries such as docker hub). Once you have that registry up and running, you will need to push your Docker image to that registry.

    Now that the registry contains your image, you can initiate commands to kubectl to deploy the image. Kubernetes documentaiotn gives the example of starting up an nginx server:

    # start the pod running nginx$ kubectl run --image=nginx nginx-app --port=80 --env="DOMAIN=cluster"deployment "nginx-app" created

    The above command only spins up a kubernetes pod and runs the container.

    A pod is an abstraction that groups one or more containers to the same network ip and storage. It’s actually the smallest deployable unit available in Kubernetes. You can’t access a docker container directly, you only access its pod. Usually, a pod would contain a single docker container, but you can run more. For example, an application container might want to have some monitoring dameon container in the same pod.

    In order to make the container accessible to other pods in the Kubernetes cluster, you need to wrap the pod with a service:

    # expose a port through with a service$ kubectl expose deployment nginx-app --port=80 --name=nginx-httpservice "nginx-http" exposed

    Your container is now accessible inside the kubernetes cluster, but it is still not exposed to the outside world. For that, you need to wrap your service with an ingress.

    Note: Ingress is still considered a beta feature!

    I could not find a simple command to expose an ingress at this point (please correct me if I’m wrong!). It appears that you must create an ingress descriptor file first, for example:

    apiVersion: extensions/v1beta1kind: Ingressmetadata:name: test-ingressannotations:ingress.kubernetes.io/rewrite-target: /spec:rules:- http:paths:- path: /testpathbackend:serviceName: testservicePort: 80

    Once that file is available, you can create the ingress by issuing a command

    kubectl create -f my-ingress.yaml

    Note that unlike the single manifest.yml in PCF, the deployment yml files in Kubernetes are separated — there is one for pod creation, one for service creation and as you saw above — one for ingress creation. A typical descriptor file is not entirely overwhelming but I wouldn’t call it the most user friendly either. For example, here’s a descriptor file for nginx deployment:

    apiVersion: apps/v1 # for versions before 1.9.0 use apps/v1beta2kind: Deploymentmetadata:name: nginx-deploymentlabels:app: nginxspec:replicas: 3selector:matchLabels:app: nginxtemplate:metadata:labels:app: nginxspec:containers:- name: nginximage: nginx:1.7.9ports:- containerPort: 80

    All this to say — with kubernetes, you need to be specific. Don’t expect deployments to be implied. If I had to create a haiku for Kubernetes, it’ll be probably something like this:

    Here’s my code

    I’ll tell you exactly how you should run it on the cloud for me

    And don’t you dare make any assumptions on the delployment without my written consent!

    Zero Downtime Deployments

    Both platforms support the ability to deploy applications with zero downtime, however this is one area where Kubernetes wins in my opinion, since it provides a built-in mechanism for zero downtime deployments with rollback.

    Cloud Foundry

    With Pivotal Cloud Foundry, there’s no built-in mechanism to support a rolling update, you’re basically expected to do some cf cli trickery to perform the update with zero downtime. The concept is called blue-green deployment. If I had to explain it in step-by-step guide, it’ll probably be something like this:

  • Starting point: you have myApp in production, and you want to deploy a new version of this app — v2.
  • Deploy v2 under a new application name, for example — myApp-v2
  • The new app will have its own initial route — myApp-v2.mysite.com
  • Perform testing and verification on the new app.
  • Map an additional route to the myApp-v2 application, using the same route as the original application. For example:
  • cf map-route myApp-v2 mysite.com —hostname myApp
  • Now requests to your application are load balanced between v1 and v2. Based of the number of instances available to each version, you can perform A/B testing. For example — if you have 4 instances of v1 and 1 instance of v2, 20% of your clients will be routed to the new codebase.
  • If you identify issues at any point — simply remove v2. No harm done.
  • Once you are satisfied, scale the number of available instances of v2, and reduce or completely delete the instances of v1.
  • Remove the myApp-v2.mysite.com route from v2 of your application. You have now fully migrated to the new codebase with zero downtime, including sanity testing phase and potentially A/B testing phase.
  • Note: The cf cli supports plugin extensions. Some of them provide automated blue-green deployments, such as blue-green-deploy, autopilot and zdd. I personally found blue-green-deploy to be very easy and intuitive, especially due to its support for automated smoke tests as part of the deployment.

    Kubernetes

    kubectl has a built-in support for rolling updates. You basically pass a new docker image for a given deployment, for example:

    kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=jon/kubernetes-bootcamp:v2

    The command above tells kubernetes to perform a rolling update between all pods of the kubernetes-bootcamp deployment from its current image to the new v2 image. During this rollout, your application remains available.

    Even more impressive — you can always revert back to the previous version by issuing the undo command:

    kubectl rollout undo deployments/kubernetes-bootcamp External Load Balancing

    As we saw previously, both PCF and Kubernetes provide load balancing for your application instances/pods. Once a route or an ingress is added, your application is exposed to the outside world.

    If we’ll take an external view of the levels of abstraction that are needed to reach your application, we can describe them as follows:

    Kubernetes ingress → service → pod → container Cloud Foundry route → container Internal Load Balancing (Service Discovery) Cloud Foundry

    PCF supports two methods of load balancing inside the cluster:

  • Route-based load balancing, in the traditional server-side configuration. This is similar to external load balancing mentioned above, however you can specify certain domains to only be accessible from within PCF, thereby making them internal.
  • Client side load balancing by using Spring Cloud Services. This set of services offers features from the Spring Cloud frameworks that are based on Netflix OSS. For service discovery, Spring Cloud Services uses Netflix Eureka.
  • Eureka runs as its own service in the PCF environment. Other applications register themselves with Eureka, thereby publishing themselves to the rest of the cluster. Eureka server maintains a heartbeat health check of all registered clients to keep an up-to-date list of healthy instances.

    Registered clients can connect to Eureka and ask for available endpoints based on a service id (the value of spring.application.name in case of Spring Boot applications). Eureka would return a list of all available endpoints, and that’s it. It is up to the client to actually access one of these endpoints. That is usually done using frameworks like Ribbon or Feign for client-side load balancing, but that is an implementation detail of the application, and not related to PCF itself.

    Client-side load balancing can theoretically scale better since each client keeps a cache of all available endpoints, and can continue working even if Eureka is temporarily down.

    If your application already uses Spring Cloud and the Netflix OSS stack, PCF fits your needs like a glove.

    Kubernetes

    Kubernetes uses DNS resolution to identify other services within the cluster. Inside the same namespace, you can lookup another service by its name. In another namespace, you can lookup the service’s name followed by a dot and then the other namespace.

    The major benefit that Kubernetes’ load balancing offers is not requiring any special client libraries. Eureka is mostly targeted at java-based applications (although solutions exist for other languages). With Kubernetes, you can make load-balanced http calls to any Kubernetes service that exposes pods, regardless of the implementation of the client or the server. The load-balancing domain name is simply the name of the service that exposes the pods. For example:

  • You have an application called my-app in namespace zone1
  • It exposes a GET /myApi REST endpoint
  • There are 10 pods of this container in the cluster
  • You created a service called my-service that exposes this application to the cluster
  • From any other pod inside the namespace, you can call:
  • GET https://my-service/myApi
  • From any other pod in any other namespace in the cluster, you can call:
  • GET https://my-service.zone1/myApi

    And the API would load-balance over the available instances. It doesn’t matter if your client is written in Java, PHP, Ruby, .NET or any other technology.

    Marketplace

    PCF offers a services marketplace. It provides a ridiculously simple way to bind your application to a service. The term service in PCF is not the same as a service in kubernetes. A PCF service binds your application to things like a database, a monitoring tool, a message broker etc. Some services that are available out of the box are:

  • Spring Cloud Services, which provides access to Eureka, a Config Server and a Hystrix Dashboard.
  • RabbitMQ message broker.
  • MySQL.
  • Third party vendors can implement their own services as well. Some of the vendor offerings include Datastax for Cassandra and Redislabs for Redis in-memory database. Here’s a screenshot of available services on Pivotal Web Services:

    IBM Bluemix is another Cloud Foundry provider that offers its own services such as IBM Watson for AI and machine learning applications.

    Every service has different plans available based on your SLA needs, such as a small database for development or a highly-available database for a production environment.

    Last but not least, you have the option to define user-provided services. These allow you to bind your application to an existing service that you already have, such as an Oracle database or an Apache Kafka message broker. A user provided service is simply a group of key-value pairs that you can then inject into your application as environment variables. This offloads any specific configuration such as URLs, usernames or passwords to the environment itself — services are bound to a given PCF space.

    Kubernetes

    Kubernetes does not offer a marketplace out of the box. There is a service catalog extension that allows for a similar service catalog, however it is still in beta.

    Note that since it can run any docker container — Dockerhub can be considered as a kubernetes marketplace in a way. You can basically run anything that can run in a container.

    Kubernetes does have a concept similar to user-provided services. Any configuration or environment variables can exist in ConfigMaps, which allow you to externalise configuration artifacts away your container, thus making it more portable.

    Configuration

    Speaking of configuration — One of the features of the Spring Cloud Services service is Spring Cloud Config. It is another service that is targeted specifically for Spring Boot applications. The config service serves configuration artifacts from a git repository of your choosing, and allows for zero-downtime configuration changes. If your Spring beans are annotated with @RefreshScope, they can be reloaded with updated configuration by issuing a POST /refresh API call to your application. The property files that are available as configuration sources are loaded based on a pre-defined loading order, which provides some sort of an inheritance-based mechanism to how the configuration is loaded. It’s a great solution, but again assumes that your applications are based on the Spring Boot stack. If you’re already using spring boot with a config server today — PCF fits like a glove.

    In Kubernetes, you can still run a config server as a container, but that would probably become an unneeded operational overhead since you already have built-in support for ConfigMaps. Use the native solution for the platform you go with.

    Storage Volumes

    A big differentiator of Kubernetes is the ability to attach a storage volume to your container. Kubernetes uses etcd as a means to manage storage volumes, and you can attach such a volume to any of your containers. This means you get a reliable storage solution, which lets you run storage-based containers like a database or a file server.

    In PCF, your application is fully stateless. PCF follows the 12-factor apps model and one of these models assumes that your application has no state. You should theoretically take the same application that runs today in your on-prem data center, move it to AWS, and provided there is adequate connectivity, it should just work. Any storage-based solution should be offloaded to either a PCF service, or to a storage solution outside the PCF cluster itself. This may be regarded as an advantage or a disadvantage depending on your application and architecture. For stateless application runtimes such as web servers, it is always a good idea to decouple it from any internal storage facility.

    Onboarding Kubernetes

    Getting started with Kubernetes was not easy. As mentioned above, you can’t just start with a 5-minutes quick start guide, there are just too many things you need to know and too many assumptions about what you already have (docker registry and a git repository are often taken for granted).

    Just taking a look at the excellent Kubernetes Basics interactive tutorial shows the level of knowledge required on the platform. For a basic on-boarding, there are 6 steps, each one of them containing quite a few commands and terminologies you need to understand. Trying to follow the tutorial on a local minikube vm instead of the pre-configured online cluster is quite difficult.

    Cloud Foundry

    Getting started with PCF is easy. Your developers already know how to develop their spring boot / nodejs / php / ruby / .NET application. They already know what its artifacts are. They probably already have some jenkins pipeline in place. They just want to run the same thing in a cloud environment.

    If we’ll take a look at PCF’s “Getting Started with Pivotal Cloud Foundry”, it’s almost comical how little is required to get something up and running. When you need more complex interaction, it’s all available for you, either in the cf cli, as part of a manifest.yml, or in the web console, but this doesn’t prevent you from getting started quickly.

    If you mainly develop server-based applications in java or nodejs, PCF gets you to the cloud simply, quickly and more elegantly.

    Vision Kubernetes

    Kubernetes is truly a great open source platform. Kudos to Google for giving up control and letting the community do its thing. That’s probably the number one reason why Kubernetes has taken off so quickly while other solutions like Docker swarm are falling behind. Other vendors also offer solutions that offer a more PaaS-like experience on top of Kubernetes, such as RedHat OpenShift.

    But with such a diverse and thriving eco-system, the path forward can be one of many different directions. It really does feel like a Google product in a way — maybe it will remain supported by Google for years, maybe it will change with barely any backwards compatibility, or maybe they’ll kill it and move to the next big thing (Does anyone remember Google Buzz, Google Wave or Google Reader?). Any AngularJS developer who’s trying to move to Angular 5 can tell you that backwards compatiblity is not a top priority.

    Cloud Foundry

    Cloud Foundry is also a thriving open source platform, but it is pretty clear who sets the tone here. It is Pivotal, with additional contributions from IBM. Yes, it’s open source, but the enterprise play here is Pivotal Cloud Foundry, which provides added value like the services marketplace, Ops Manager etc. And on that side, it’s a limited democracy. This is a product that is meant to serve enterprise customers, and the feature set would first and foremost answer those needs.

    If Kubernetes is Google, then PCF is Apple.

    A little more of a walled garden, more controlled, better design/experience layer, and a commitment for delivering a great product. I feel like the platform is more focused, and focus is critical in my line of work.

    PKS

    The real surprise of the recently announced PCF 2.0 was that all I’ve been talking about throughout this article is now just one part of a larger offering. The aplication runtime (everything that is referred to as PCF in this article) is now called Pivotal Application Service (PAS). There is also a new serverless solution called Pivotal Function Service (PFS), and lastly — a new Kubernetes runtime called Pivotal Container Service (PKS). This means that Pivotal Cloud Foundry now gives you the best of both worlds: A great application runtime for fast onboarding of cloud-native applications, as well as a great container runtime when you need to develop generic low-level containers.

    Conclusion

    In this article I tried to share my personal experiences of working with both platforms. Although I am a bit biased towards PCF, it is for a good reason — it has served me well. I approached Kubernetes with an open mind, and found it to be a very versatile platform, but also one that requires a steeper learning curve. Maybe I got spoiled by living in the Spring eco-system for too long :). With the latest announcement of PKS, it appears that Pivotal Cloud Foundry is set to offer the best integrated PaaS — one that lets you run cloud native applications as quickly and simply as possible, while also exposing the best generic container runtime when that is needed. I can see this becoming very useful in many scenarios. For example, Apache Kafka is one of the best message brokers available today, but this message broker still doesn’t have a PCF service available, so it has to run externally on virtual machines. Now with PCF 2.0, I can run Apache Kafka in docker containers inside PCF itself.

    The main conclusion is that this is definetly not a this or that discussion. Since both the application runtime and the container runtime now live side by side in the same product, the future seems promising for both.

    Thank you for reading, and happy coding!

    Oded Shopen

    Visit my homepage: http://odedia.org

    Follow me on twitter: https://twitter.com/odedia

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    Transforming and Automating Workflows: Workflow Dominates Print13 (Part One) | killexams.com real questions and Pass4sure dumps

    Commentary & Analysis

    In this article, David looks at many new production workflows solutions that were introduced at Print13 in Chicago. Due to the sheer volume of new announcements, this is Part One of two articles covering this new product review.

    By David ZwangPublished: September 20, 2013

    For those of you who have been reading this series, by now you have realized that I have very strong feelings regarding the need to research and implement a good infrastructure to help you transform and automate your business and production systems. It was very exciting to see so many new and existing production hardware and software solutions providers recognize this as well, as evidenced by their exhibition strategy at Print 2013.

    To date, we have covered MIS/ERP business systems, packaged and customized production management systems, and some of the component architecture that also forms the base of a good system infrastructure. In the last article, we looked at a new and growing segment; cloud-based production workflow systems. At Print 2013, we saw many new MIS/ERP business and production workflow systems announced. Some are cloud-based solutions, some are new and/or updated server based on-site solutions, and others offer a hybrid model with either a combination of cloud-based and local servers, or a choice between the two with a clear migration path.

    Due to the volume of new product announcements, I have broken this review into two articles. This first one addresses production workflow solutions, and the second article will cover new MIS/ERP business workflow systems.

    One very important product introduction was Adobe PDF Print Engine 3 (APPE3) . In a previous article, we discussed the important role the RIP core plays in any production DFE and workflow. Since APPE is at the core of many of the production DFE and production workflow systems in the market, this announcement will ultimately affect most of them. The new ‘Mercury RIP’ architecture brings dynamic load balancing and multiple concurrent processing instances to a single or multiple systems on a network. This is targeted directly at the high speed, high volume production digital print devices and at more efficient handling of variable data jobs. More detailed information on APPE3 can be found in a recent review. Look for APPE V3 to be included in new DFEs and production systems starting in 2014.

    Pipeline Solutions

    The production workflow solutions shown at Print 2013 all seemed to be addressing automation, although they don’t all approach it in the same way. In the past, we have discussed ‘pipeline’ workflows. These are solutions that provide a way to connect various production tasks together to create the desired process automation. However, based on what we are seeing in the currently available solutions, we need to be a bit more specific on what ‘type’ of pipeline workflow system each of them deploy. Here I arbitrarily break them into three types of pipeline workflows for clarity. Please understand that there likely are features that may blur the lines between the types, but for the most part the overlap is not enough to reclassify them.

    The first type would be a predefined pipeline. This type of offering only allows you to choose how the production files are input and how they are output for a fairly well-defined process. Web-to-print catalog ordering and on-demand book production are examples. The second type is a linear pipeline. This type of solution provides flexibility in how you build the process to support your requirements, but without an intelligent ‘rules based’ infrastructure. In this case, you will need to have individual predefined workflows to address all of your production variables. Finally, the third type is a fully flexible rules-based pipeline solution. The main advantage to rules-based pipeline systems is that you can minimize the number of workflows you need to define as well as the amount of potential operator intervention that is required. In essence, the system can be programmed to make its own intelligent choices.

    Xerox

    Xerox introduced FreeFlow Core at the show. This new technology was designed from the ground up to power a new platform of product offerings and shouldn’t be confused with FreeFlow Process Manager, the legacy Xerox workflow application. FreeFlow Core takes a fundamentally different approach, expanding some of the features and functionality beyond what is currently available or even possible with Process Manager. Core gives customers a more granular control of prepress operations. Xerox is marketing FreeFlow Core in three upgradable configurations: FreeFlow Core Base; Advanced Prepress; and Advanced Automation. The first two configurations, Core Base and Advanced Prepress, include updated versions of many of the process nodes that are currently available in Process Manager that are now Core compatible. These configurations and the supplied nodes can be used in the creation of a linear pipeline workflow, while the Advanced Automation configuration adds rules-based workflow capabilities to the system to enable fully flexible and ‘rule based’ variable workflows.  In taking this approach, Xerox is recognizing that workflow is not “one size fits all,” and allowing a more modular approach to workflow deployment.

    Xerox also showed several new Core enhanced solutions.

  • Xerox IntegratedPLUS Finishing Solution – automates job production from order entry through online or offline finishing in conjunction with the newly designed Imposition node;
  • XMPie StoreFlow – a B2B and B2C all-in-one Web to Print solution that integrates directly to the FreeFlow Core production automation system, providing an end to end workflow;
  • FreeFlow Digital Publisher – an integrated solution that providers service providers with the tools to repurpose print content into media rich mobile and online content.
  • XMPie, a Xerox company, whose products are marketed through a variety of channels, also showed its XMPie Circle Marketing Workflow product, including an impressive future roadmap that we will cover in a future article.

    Hybrid Software

    For those of you not familiar with Hybrid Software, many core employees came from the Artwork Systems team, prior to the acquisition of that company by Esko. And while their roots are in packaging prepress, their solutions are also great for print service providers in general. Cloudflow is Hybrid’s new HTML5 browser based workflow platform. It supports the open JSON REST API for scripting and a NoSQL database backend making it easier to integrate with other cloud-based (web) solutions and services. Many of the available modules have been developed, released, and integrated by Hybrid in the last couple of years, but the core platform has been in development for a longer time and the concept as well as the implementation is very interesting.

    The Cloudflow platform is designed to combine local processing with remote processing in a hybrid model, a concept we also saw in the OneFlowCloud solution I previously reviewed. The system uses a user-friendly rules-based pipeline node structure for building workflows which can include Web Portal, file processing, pre-press, and data flow. The platform base is Cloudflow Workspace, and the currently available modules include Cloudflow Proofscope for softproofing, Cloudflow Proofscope Live for PDF editing, Cloudflow Printplanner for layout and VDP, Cloudflow DAM, Cloudflow Pre Press Workflow, and Cloudflow RIP. Some of these modules are developed by PACKZ, a Belgian software company that also has its roots in Artwork Systems. Hybrid Software has also just announced a further partnership with PACKZ to distribute a new packaging prepress application. Hybrid Software will be an exclusive distributor for this solution in most parts of the world and will be introducing it at Labelexpo Brussels later this month. An example of an implementation using Cloudflow can be seen at http://seetheproof.com.

    Ricoh

    Ricoh TotalFlow Process Director V3 was introduced on March 31, but Print 2013 is its U.S. public debut. This is a significant upgrade to Process Director and Process Director Express, which is a subset of the full Process Director. The application was initially developed by IBM InfoPrint, which was acquired as a subsidiary of Ricoh in 2010 following a period of joint venture between the two companies. Process Director is built on a common backbone that includes an IBM DB2 database and a modular component architecture. This rules-based automation pipeline solution enables the software to be configured to the needs of many different applications, from high volume variable data direct marketing to general commercial print. Initially designed to support the IBM digital roll-fed production presses and applications, V3 added a visual and conditional workflow builder, as well as support for Ricoh cut sheet devices, resulting in a flexible and very scalable production workflow solution.

    Ricoh also introduced TotalFlow DocEnhancer, a rules-based plug-in for Adobe Acrobat that allows users to add, edit, or replace static or variable data in a PDF file destined for print production through a very simple user interface. It is available in two configurations, one that operates as a standalone and one that integrates with Process Director and Process Director Express.

    Kodak

    The introduction of PRINERGY Workflow 6 , Kodak’s rules-based pipeline automation solution, has been anticipated for a while. It has been in development for three years, and Kodak has been testing and seeding it to select customers to ensure it is rock solid at release. We have discussed PRINERGY in past articles, but this new release is undoubtedly a statement of Kodak’s intention to support and grow this platform. This release is focused on enhancing production automation throughout its processes. It includes; PREPS v7 for imposition; COLORFLOW v2, for color management; and INSITE Prepress Portal v6.6.

    However, the big change in PRINERGY 6 is the new browser-based and simplified user interface. This change in itself will undoubtedly streamline production operations for PRINERGY users. The PRINERGY Workflow 6 Workspace is divided into three modules: Plan, Manage, and Track. This helps users manage all jobs and production tasks. Using the underlying PRINERGY Rules-Based Automation (RBA) functionality, you can now set up chains of workflow tasks from receipt of the customer order through prepress through to digital presses and CTP devices. The workflows can be triggered by events or manually by hitting a ‘play’ button.

    HP

    HP showed its latest version of the SmartStream Production Center which is currently a linear pipeline workflow solution that integrates with their other SmartStream offerings. However, we are confident that it will evolve into a rules-based pipeline solution over time.

    Konica Minolta

    Konica Minolta announced and promoted its renewed relationship with Kodak through the integration of the Creo DFE and the optional PRINERGY 6 Workflow solution in addition to its standard EFI Fiery DFE. Konica Minolta also showed two of its own new workflow solutions:

  • EngageIT Automation a predefined production system that operates with a portal and print catalog; and
  • EngageIT XMedia, a cross-media marketing campaign workflow solution. We will cover this in a future article.
  • Fujifilm

    Fujifilm showed its XMF production workflow, which was previously introduced. It is primarily a linear pipeline workflow. Fujifilm was the only exhibitor at the show to feature implementation of APPE3 in XMF driving the J Press 720 Inkjet Press.

    Agfa

    While not displaying at Print13, Agfa announced that the new APPE3 will be integrated into both the :Apogee and :Asanti product lines.

    DALIM

    DALIM introduced Twist 7, its latest update to its rules-based production automation solution. Twist 7 updates focus on speed, more complete and flexible job input, and support for BigTIFF and additional printer marks on multi-page documents.

    In the next article, Part Two, we will look at some of the new and updated MIS/ERP business workflow solutions that were introduced at Print 2013 in Chicago.

    Remember, if you have any topics you think are important and would like us to cover during the balance of this series, please let us know!

    To see some innovative ways to automate and transform your workflows, download a free informative white paper, "Automating and Optimizing a Book Production Workflow"


    Intel Introduces Highly Versatile Datacenter Processor Family Architected for New Era of Services | killexams.com real questions and Pass4sure dumps

    Powerful Intel® Xeon® Processor E5-2600 v2 Product Family Delivers More Computing, Flexibility for Next Generation of Datacenters

    NEWS HIGHLIGHTS

  • Launched today, Intel® Xeon® Processor E5-2600 v2 product family offers up to 45 percent greater efficiency and up to 50 percent more performance compared to the previous generation.
  • New family of 22 nm processors ideally suited for high performance computing, cloud and enterprise segments, and offer compelling new opportunities for telecommunications.
  • Amazon Web Services* becomes first cloud service provider to use the “Intel Inside®” brand, letting its customers know that the services it provides utilize Intel technology.
  • INTEL DEVELOPER FORUM, SAN FRANCISCO, September 10, 2013 – Intel Corporation today introduced the Intel® Xeon® Processor E5-2600 v2 product family (code named “Ivy Bridge-EP”), an industry-leading set of versatile processors that promises to redefine the server, storage and networking infrastructure found in datacenters. With greater efficiency and flexibility, these processors will enable the rapid delivery of services for high performance computing, cloud and enterprise segments, and offer compelling new opportunities for telecommunications vendors.

    The new Xeon product family is based on Intel’s leading 22-nanometer process technology, contributing to dramatic energy efficiency improvements of up to 451 percent when compared to the previous generation. The processor family also features up to 12 cores and delivers up to 50 percent more performance2 across variety of compute intensive workloads.

    “More than ever, organizations are looking to information technology to transform their businesses,” said Diane Bryant, senior vice president and general manager of the Datacenter and Connected Systems Group at Intel. “Offering new cloud-based services requires an infrastructure that is versatile enough to support the diverse workloads and is flexible enough to respond to changes in resource demand across servers, storage and network.”

    Much of the infrastructure today is not architected to support the growth in IT services. Datacenter management is often manual and static. To enable on-demand, automated services, the next generation of datacenters will need to evolve to a “software defined infrastructure” where many of the functions are managed in software. The new Intel Xeon processors provide a common, software compatible processing foundation and possess the features and tools to help transform datacenters for the future.

    New, Powerful Engine for Agile, Efficient DatacenterThe Intel Xeon processor E5-2600 v2 product family is Intel’s most versatile processing technology and can address many of the constraints datacenters face today. It allows the industry to innovate and build solutions for a wide variety of datacenter workloads to meet diverse customer needs.

    The Intel Xeon processors E5-2600 v2 product family will power the new IBM* NeXtScale System, a high-density, flexible computing platform designed for high-demand workloads such as analytics, technical computing and cloud delivery. Intel’s newest processor family also will be used in IBM’s new x3650 M4 HD high-density storage server, ideal for managing big data and business-critical workloads, as well as all of IBM’s two-socket systems including System x racks and towers, Flex System, iDataPlex, and BladeCenter offerings.

    Re-defining Networking, StorageData traffic generated by connected mobile devices and the associated services is expected to have a 66 percent3 compound annual growth rate over the next four years. This puts additional pressure on networking infrastructure to be more agile and efficient to allow for much faster provisioning of services.

    Today, network configuration requires manual set-up by skilled IT staff and it may take up to two or three weeks to deploy required networking resources to support new applications and services. Intel Xeon processor E5-2600 v2 product family accelerates efficient processing of network workloads commonly handled by expensive and proprietary offload engines and accelerators found in networking appliances.

    Using Intel’s Open Network Platform (ONP) server reference design, customers can use high-volume Xeon-based servers combined with industry open standards to consolidate virtualized networking applications. This allows them to deliver market leading throughput performance and latency for Software Defined Networking (SDN) and Network Function Virtualization (NFV) workloads. Intel’s ONP server reference design is based on the Wind River Open Virtualization Profile and the Intel Data Plane Development Kit Accelerated Open vSwitch.

    HP* is an ecosystem partner for Intel’s ONP server and switch reference design. “Organizations are looking for more open, industry standard technology to support complex IT demands, whether they are cloud based-applications, support for virtualized environments or for replacing expensive appliances, such as firewalls, VPNs, and edge routers,” said Werner Schaefer, vice president of Market and Business Development, HP Servers. “These reference designs with innovative HP ProLiant Gen8 Servers and HP Networking solutions allow customers to consolidate networking workloads, reduce deployment costs and shorten provisioning time.”

    Eighty-two percent4 of global telecommunications providers are expected to evaluate SDN and NFV this year to find the ways to reduce their costs and increase flexibility in dynamic resource provisioning.

    To assist in accelerating the deployment of software defined infrastructures, Intel also announced Intel® Network Builders ecosystem. The program allows ecosystem partners to take advantage of Intel’s reference architecture platforms to accelerate SDN and NFV deployments. With more than 20 leading technology companies contributing, Intel’s partners will be able to access a comprehensive reference architecture library of proven solutions to build and optimize software-defined infrastructure based on today’s telecommunications, cloud, and enterprise datacenter requirements.

    The Intel Xeon processor E5-2600 v2 product family is also designed to power cost efficient scale-out, distributed, and software defined storage. From 2012 to 2020 the amount of stored data will double every two years5, reaching 40ZB. Fast, on-demand access to this amount of data for tasks such as big data analytics require more intelligent compute and storage intensive solutions, as well as a dramatic decrease in the cost-per-stored terabyte.

    Dell* has selected the new processors for its upcoming storage solution. “The Intel Xeon processor E5 v2 family provides a great hardware base for Dell’s high performance, innovative solutions like our PowerEdge VRTX and intelligent tiered Compellent storage solutions,” said Forrest Norrod, vice president and general manager of Dell Server Solutions.

    Amazon Web Services: Intel Inside® the InstanceAmazon Web Services (AWS) announced a new agreement with Intel that covers both a technology and a marketing collaboration. The marketing collaboration includes for the first time the use of the “Intel Inside” brand, letting AWS customers know that the services it provides are utilizing Intel technologies.

    AWS instances that exclusively use Intel Xeon processors – intended for basic to performance-intensive use cases – now display the brand. Use of the recognizable logo will communicate the performance, quality, and security benefits available to end customers. AWS is also adding the latest Xeon processor family to its datacenters with services available for customers later this year.

    Extensive Industry SupportStarting today, system manufacturers from around the world are expected to announce hundreds of Intel® Xeon® processor E5 family-based platforms. These manufacturers include Acer*, Apple*, Asus*, Bull*, Cray* Cisco*, Dell*, Fujitsu*, HP*, Hitachi*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, Quanta*, SGI*, Sugon*, Supermicro*, TYAN*, Wiwynn* and Unisys*.

    Pricing and AvailabilityThe Xeon processor E5-2600 v2 product family will be offered with 18 different parts which range in price from $202 to $2,614 in quantities of 1,000. Additionally three single-socket Intel Xeon processor E5-1600 parts will be offered for workstations which range in price from $294 to $1080.

    Complete pricing details can be found in the http://intc.com/priceList.cfm. For more details on these new Intel Xeon processors, visit www.intel.com/xeon. For more details on world records and other claims, visit www.intel.com/performance/

    Intel is a trademark of Intel Corporation in the United States and other countries.

    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance Intel does not control or audit the design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and confirm whether the referenced benchmark data are accurate and reflect performance of systems available for purchase.

    1 Baseline Configuration and Score on SPECpower_ssj2008* benchmark: Platform with two Intel® Xeon® Processor E5-2660. 16GB memory, Microsoft Windows Server 2008 Enterprise x64 Edition. Baseline source as of November 2012. Score: 5,544 overall ssj_ops/watt. New Configuration: Fujitsu PRIMERGY RX300 S8* platform with two Intel® Xeon® Processor E5-2660 v2, 48GB, Microsoft Windows Server 2012 Standard Edition. Source: Submitted to SPEC for review/publication as of Sept. 10, 2013. Score: 8,097 overall ssj_ops/watt

    2 Baseline Configuration and Score on SPECVirt_sc2013* benchmark: Platform with two Intel® Xeon® Processor E5-2690, 256GB memory, RHEL 6.4(KVM). Baseline source as of July 2013. Score: 624.9 @ 37 VMs. New Configuration: IBM System x3650 M4* platform with two Intel® Xeon® Processor E5-2697 v2, 512GB memory, RHEL 6.4(KVM). Source: Submitted to SPEC for review/publication as of Sept. 10, 2013. Score: 947.9 @ 57 VMs.

    3 Source: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017

    4 Source: IDC’s Digital Universe Study, sponsored by EMC, December 2012

    5 Source: IDC’s Digital Universe Study, sponsored by EMC, December 2012 which states that data will double every other year from 2012 to 2020, reaching 40ZB in 2020 approximately a 40% CAGR.

    Copyright © 2013 Intel Corporation. All rights reserved

    Intel does not control or audit the design or implementation of third party benchmark data or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and confirm whether the referenced benchmark data are accurate and reflect performance of systems available for purchase.

    Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel.Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.Notice revision #20110804

    Intel processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families: Go to: Learn About Intel® Processor Numbers



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    Trainers [3 Certification Exam(s) ]
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    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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    IBM C5050-380 Exam (IBM Cloud Platform Solution Architect v2) Detailed Information



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