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

Test Code : C5050-380
Test appellation : IBM Cloud Platform Solution Architect v2
Vendor appellation : IBM
: 63 existent Questions

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IBM IBM Cloud Platform Solution

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

overseas company Machines industry enterprise IBM currently entered birthright 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 vulgar margin inside 365 days of completion. IBM additionally anticipates pink Hat purchase to advocate it in sustaining efficacious dividend growth.

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

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

Per IBM’s analysis, “80% of company workloads hold yet to rush 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 mingle 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 hold 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 dart of $2.2 billion within the third quarter.

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

meanwhile, pink Hat doesn't hold 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 illustrious that it plans to shelve its share buyback program in 2020 and 2021, and goals to advocate a leverage profile consistent with a mid to extreme sole A credit standing.

fundamental Takeaways

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

submit the buyout, IBM referred to that pink Hat will relate IBM's Hybrid Cloud group as a part entity. further, pink Hat will breathe led with the aid of its latest CEO, Jim Whitehurst, who will breathe a fragment of IBM's senior management crew. under IBM’s umbrella, red Hat's headquarters, amenities, manufacturers and practices will continue to breathe 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 industry 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 assay of $19.10 billion and declined 2.1% on a year-over-yr basis. At even forex (cc), revenues remained flat.

View pictures

Story Continues

overseas company Machines enterprise earnings (TTM)

View pictures

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

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

in reality, in the third quarter, cloud revenues surged 13% from the yr-ago quarter to $4.6 billion. The annual flee 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 pass for the company’s enlarge potentialities. The company estimates the value of its hybrid cloud enterprise at $19 billion.

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

red Hat’s OpenStack (makes consume 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 efficacious require 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 hope red Hat’s addition to IBM Hybrid Cloud enterprise to assist IBM to resuscitate its fortunes and pave the style for a stout 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 contest in view that IBM’s Hybrid Cloud is poised neatly to profit 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 behold the complete checklist of nowadays’s Zacks #1 Rank (effective buy) shares here.

extra stock information: this is greater than the iPhone!

It could gyrate into the mom of each and every technological revolutions. Apple offered a mere 1 billion iPhones in 10 years but a brand unusual 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 regain this free file overseas industry 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 birthright here. Zacks investment analysis


tons of of leading global companies install IBM Cloud deepest | killexams.com existent 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 fullfil growing to breathe demand, IBM advances on-prem private cloud with unusual 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 hold became to the platform to profit modernize their operations. They comprehend unusual 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 proverb 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 lieutenant and IBM Watson Speech-to-text, in addition to steer for additional public clouds, including the IBM Cloud. The updates provide shoppers with much more election and flexibility for his or her IT journeys, and, for the first time, bring the vigour of IBM's Watson AI behind the industry firewall.

IBM is releasing particulars of over a dozen corporations which might breathe 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 profit to modernize its present programs as well as instantly launch unusual features corresponding to a cellular primarily based communications gear for its officers.
  • Fuyao neighborhood is China's largest and most superior company of automotive glass providing Audi, Bentley, accepted Motors, Toyota and other amend vehicle makers. to fulfill becoming demand, Fuyao has embarked on a sensible Manufacturing initiative and is the consume of IBM Cloud inner most to advocate 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 plot 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 unusual information hub in Ankara and is now using IBM cloud deepest to profit 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 extreme standards for statistics protection and privateness.
  • Brazil's constancy country wide tips services (FIS), a world chief in cost processing solutions for the economic industry, has adopted IBM Cloud deepest to profit 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 limpid of fraud.
  • "The cloud has advanced in a extremely short time from being a mode 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 choice statistics sets."

    putting AI interior the EnterpriseToday IBM is advancing IBM Cloud deepest even additional, announcing most notable 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 unusual 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 lieutenant is now obtainable on IBM Cloud deepest. The Watson lieutenant 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 advocate 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 object 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 pass of enabling us to connect to other cloud-based mostly services enjoy AI, Blockchain and IoT, they may breathe capable of regain much more enterprise cost 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 enlarge 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 breathe at 19.three% yr over yr in 2018. "organisations hold 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 look to be," said Natalya Yezhkova, analysis Director, IDC. "On-premises private cloud is a magnificent election for based companies that are seeking for a gradual mode for remodeling their difficult 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 fullfil the evolving wants of industry 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 contemporaneous commercial enterprise. IBM's inner most, public and hybrid choices provide the international scale businesses should profit 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 object 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 consume 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 ply of its own on-premises infrastructure. The agility and adaptability of ICP has the lengthy-term skills of producing more suitable efficiencies in application pile and will permit sooner time to market for brand unusual resourceful consumer services.

    Klirinski Interbankarski Sistemi ad Skopje (KIBS), Macedonia Klirinski Interbankarski Sistemi ad Skopje (KIBS), a Macedonia-primarily based suffuse gadget operator owned by means of 12 banks is working with IBM to seriously change fee clearing methods and profit sooner the mixing of Macedonia's banking gear with the eu. With IBM Cloud private KIBS can breathe in a position to consolidate and transform their present substances birthright 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 crop back time to market for unusual 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 ersatz Intelligence corporations, is working with IBM to carry on its mission to enlarge habitual 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 profit 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 unusual digital services whereas maximizing its present IT infrastructure. with the aid of putting its application pile pipeline onto IBM Cloud inner most, Ilmarinen is capable of greatly pace up construction cycles and crop back infrastructure charges, chopping the overall application release time from days to minutes. here is exceptionally faultfinding with extended power on the area's pension systems as a result of an getting antique population.

    Techniker Krankenkasse (TK), GermanyGermany's largest statutory medical health insurance fund Techniker Krankenkasse (TK) is the consume of IBM Cloud inner most for a unusual service referred to as TK-secure which gives valued clientele with their medical insurance information by the consume of their smartphone - despite time and location. IBM is already proposing tips as-a-provider to TK-protected's restful information vault which carries the encrypted health facts of TK's insurees across Germany. via an open service platform, TK-protected clients can profit from unusual 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 breathe accessed remotely by pass of any student. IBM Cloud deepest will flee on the institution's IBM vigour servers as fragment of a complete solution which additionally contains QRadar, MaaS360 and Cognos application. The confess can breathe integrated by using Nihon communication solutions, an education birth companion of IBM, which is answerable for the birth of superior lessons on cybersecurity and big 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 confederate 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 flee company essential application across each public and private clouds, in a honest multi-cloud structure.

    Five9 Vietnam Corp., VietnamFive9 Vietnam is a fast-transforming into IT and cloud service company that provides its shoppers with every diminutive thing from cellular and analytics application construction, to deepest and public cloud capabilities. The company has been the consume of IBM Cloud inner most when you admiration that April to design, strengthen, and kit functions as containers for smooth 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 habitual content material to down load multimedia:http://www.prnewswire.com/information-releases/a all bunch-of-leading-global-organizations-installation-ibm-cloud-deepest-300729130.html

    source IBM

    [ Back to the Next Generation Communications Community's Homepage ]


    American airlines companions with IBM to gain consume of IBM Cloud for massive Cloud Transformation | killexams.com existent Questions and Pass4sure dumps

    Jun 30, 2017

    Stephanie Simone

    American airways will consume IBM Cloud because the groundwork for a big cloud transformation designed to gain inside methods greater productive, sooner, simpler and adaptable to superior deal with website traffic during extreme 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 breathe moved to the IBM Cloud.

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

    As a fragment of this method, American will toil 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 lank construction.

    IBM Cloud will assist enable developers to birthright away construct and alter application functionalities for the airline’s purchasers. These consumer-facing systems should breathe 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 recommendation about this news, seek recommendation from www.ibm.com. 




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

    Test Code : C5050-380
    Test appellation : IBM Cloud Platform Solution Architect v2
    Vendor appellation : IBM
    : 63 existent Questions

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    Comparing Kubernetes to Pivotal Cloud Foundry — A Developer’s Perspective | killexams.com existent 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 regain this template automatically from a buildpack.

    Management Console Cloud Foundry

    PCF separates the web dashboard to two part target audiences.

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

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

    As you can behold from the left-hand side, there is a lot of data to process here. You hold access to persistent volumes, daemons, definition of roles, replication controllers etc. It’s difficult to focus on what are the developer’s needs and what are the IT needs. Some might divulge you this is the selfsame person in a Devops culture, and that’s a unbiased 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 each and every aspects of the developer interaction. Following in the footsteps of simplicity that you might hold already noticed, the view is to grasp 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 propel myapp -p myapp.jar

    That’s it! That’s each and every you need. PCF will lookup the current working directory and find the jar executable. It will then download the java buildpack, create a container, cipher the required recollection 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 propel 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 enjoy recollection 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 value you give up any control. You hold a lot of customizations available in PCF. You can define your own routes, set the number of instances, max recollection and disk space, environment variables etc. each and every of this can breathe done in the cf cli or by having a manifest.yml file available as a parameter to the cf propel command. A typical manifest.yml file can breathe 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 hold a private docker registry available and configured (unless you only plot to deploy images available on public registries such as docker hub). Once you hold that registry up and running, you will need to propel 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 instance of starting up an nginx server:

    # start the pod running nginx$ kubectl flee --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 selfsame 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 sole docker container, but you can flee more. For example, an application container might want to hold some monitoring dameon container in the selfsame pod.

    In order to gain 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 amend 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 sole 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 summon 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 consume 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 breathe specific. Don’t hope deployments to breathe implied. If I had to create a haiku for Kubernetes, it’ll breathe probably something enjoy this:

    Here’s my code

    I’ll divulge you exactly how you should flee it on the cloud for me

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

    Zero Downtime Deployments

    Both platforms advocate the aptitude to deploy applications with zero downtime, however this is one belt 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 advocate a rolling update, you’re basically expected to achieve some cf cli trickery to accomplish the update with zero downtime. The concept is called blue-green deployment. If I had to define it in step-by-step guide, it’ll probably breathe something enjoy this:

  • Starting point: you hold myApp in production, and you want to deploy a unusual version of this app — v2.
  • Deploy v2 under a unusual application name, for example — myApp-v2
  • The unusual app will hold its own initial route — myApp-v2.mysite.com
  • Perform testing and verification on the unusual app.
  • Map an additional route to the myApp-v2 application, using the selfsame 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 accomplish A/B testing. For example — if you hold 4 instances of v1 and 1 instance of v2, 20% of your clients will breathe routed to the unusual 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 hold now fully migrated to the unusual codebase with zero downtime, including sanity testing side 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 establish blue-green-deploy to breathe very smooth and intuitive, especially due to its advocate for automated smoke tests as fragment of the deployment.

    Kubernetes

    kubectl has a built-in advocate for rolling updates. You basically pass a unusual 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 accomplish a rolling update between each and every pods of the kubernetes-bootcamp deployment from its current image to the unusual 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 they 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 grasp an external view of the levels of abstraction that are needed to gain your application, they can relate 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 unavoidable domains to only breathe 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 relaxation of the cluster. Eureka server maintains a heartbeat health check of each and every registered clients to advocate an up-to-date list of healthy instances.

    Registered clients can connect to Eureka and query for available endpoints based on a service id (the value of spring.application.name in case of Spring Boot applications). Eureka would revert a list of each and every 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 enjoy 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 each and every 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 enjoy a glove.

    Kubernetes

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

    The major profit 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 gain 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 appellation is simply the appellation of the service that exposes the pods. For example:

  • You hold an application called my-app in namespace zone1
  • It exposes a regain /myApi relaxation 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 pass to bind your application to a service. The term service in PCF is not the selfsame as a service in kubernetes. A PCF service binds your application to things enjoy 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 comprehend 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 diminutive database for development or a highly-available database for a production environment.

    Last but not least, you hold 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 flee any docker container — Dockerhub can breathe considered as a kubernetes marketplace in a way. You can basically flee anything that can flee in a container.

    Kubernetes does hold 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 breathe reloaded with updated configuration by issuing a POST /refresh API summon 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 considerable 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 enjoy a glove.

    In Kubernetes, you can still flee a config server as a container, but that would probably become an unneeded operational overhead since you already hold built-in advocate for ConfigMaps. consume the native solution for the platform you proceed with.

    Storage Volumes

    A mammoth differentiator of Kubernetes is the aptitude 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 regain a reliable storage solution, which lets you flee storage-based containers enjoy 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 grasp the selfsame application that runs today in your on-prem data center, dart it to AWS, and provided there is adequate connectivity, it should just work. Any storage-based solution should breathe offloaded to either a PCF service, or to a storage solution outside the PCF cluster itself. This may breathe regarded as an edge or a drawback depending on your application and architecture. For stateless application runtimes such as web servers, it is always a expedient view 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 hold (docker registry and a git repository are often taken for granted).

    Just taking a notice at the excellent Kubernetes Basics interactive tutorial shows the flush of information 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 succeed 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 hold some jenkins pipeline in place. They just want to flee the selfsame thing in a cloud environment.

    If we’ll grasp a notice at PCF’s “Getting Started with Pivotal Cloud Foundry”, it’s almost comical how diminutive is required to regain something up and running. When you need more intricate interaction, it’s each and every available for you, either in the cf cli, as fragment of a manifest.yml, or in the web console, but this doesn’t obviate 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 considerable open source platform. Kudos to Google for giving up control and letting the community achieve its thing. That’s probably the number one intuition why Kubernetes has taken off so quickly while other solutions enjoy Docker swarm are falling behind. Other vendors also offer solutions that offer a more PaaS-like undergo on top of Kubernetes, such as RedHat OpenShift.

    But with such a diverse and thriving eco-system, the path forward can breathe one of many different directions. It really does feel enjoy 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 murder it and dart to the next mammoth thing (Does anyone recollect Google Buzz, Google Wave or Google Reader?). Any AngularJS developer who’s trying to dart to Angular 5 can divulge you that backwards compatiblity is not a top priority.

    Cloud Foundry

    Cloud Foundry is also a thriving open source platform, but it is pretty limpid 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 enjoy 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 confess those needs.

    If Kubernetes is Google, then PCF is Apple.

    A diminutive more of a walled garden, more controlled, better design/experience layer, and a commitment for delivering a considerable product. I feel enjoy the platform is more focused, and focus is faultfinding in my line of work.

    PKS

    The existent surprise of the recently announced PCF 2.0 was that each and every I’ve been talking about throughout this article is now just one fragment 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 unusual serverless solution called Pivotal role Service (PFS), and lastly — a unusual Kubernetes runtime called Pivotal Container Service (PKS). This means that Pivotal Cloud Foundry now gives you the best of both worlds: A considerable application runtime for snappily onboarding of cloud-native applications, as well as a considerable 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 expedient reason — it has served me well. I approached Kubernetes with an open mind, and establish it to breathe a very all-around 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 flee cloud native applications as quickly and simply as possible, while also exposing the best generic container runtime when that is needed. I can behold 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 hold a PCF service available, so it has to flee externally on virtual machines. Now with PCF 2.0, I can flee 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 selfsame product, the future seems promising for both.

    Thank you for reading, and delighted coding!

    Oded Shopen

    Visit my homepage: http://odedia.org

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

    Follow me on LinkedIn: https://www.linkedin.com/in/odedia/

    Follow me on 500px: https://500px.com/odedia


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

    Commentary & Analysis

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

    By David ZwangPublished: September 20, 2013

    For those of you who hold been reading this series, by now you hold realized that I hold very stout feelings regarding the need to research and implement a expedient infrastructure to profit you transform and automate your industry and production systems. It was very exciting to behold so many unusual and existing production hardware and software solutions providers recognize this as well, as evidenced by their exhibition strategy at Print 2013.

    To date, they hold covered MIS/ERP industry systems, packaged and customized production management systems, and some of the component architecture that also forms the ground of a expedient system infrastructure. In the ultimate article, they looked at a unusual and growing segment; cloud-based production workflow systems. At Print 2013, they saw many unusual MIS/ERP industry and production workflow systems announced. Some are cloud-based solutions, some are unusual 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 election between the two with a limpid migration path.

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

    One very notable product introduction was Adobe PDF Print Engine 3 (APPE3) . In a previous article, they discussed the notable 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 touch most of them. The unusual ‘Mercury RIP’ architecture brings dynamic load balancing and multiple concurrent processing instances to a sole or multiple systems on a network. This is targeted directly at the towering speed, towering volume production digital print devices and at more efficient handling of variable data jobs. More particular information on APPE3 can breathe establish in a recent review. notice for APPE V3 to breathe included in unusual DFEs and production systems starting in 2014.

    Pipeline Solutions

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

    The first character would breathe a predefined pipeline. This character 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 engage production are examples. The second character is a linear pipeline. This character of solution provides flexibility in how you build the process to advocate your requirements, but without an smart ‘rules based’ infrastructure. In this case, you will need to hold individual predefined workflows to address each and every of your production variables. Finally, the third character is a fully flexible rules-based pipeline solution. The main edge 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 breathe programmed to gain its own smart choices.

    Xerox

    Xerox introduced FreeFlow Core at the show. This unusual technology was designed from the ground up to power a unusual platform of product offerings and shouldn’t breathe 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 workable 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 ground and Advanced Prepress, comprehend 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 breathe 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 unusual 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 conclude to conclude workflow;
  • FreeFlow Digital Publisher – an integrated solution that providers service providers with the tools to repurpose print content into media loaded mobile and online content.
  • XMPie, a Xerox company, whose products are marketed through a variety of channels, also showed its XMPie coterie Marketing Workflow product, including an impressive future roadmap that they will cover in a future article.

    Hybrid Software

    For those of you not close 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 considerable for print service providers in general. Cloudflow is Hybrid’s unusual HTML5 browser based workflow platform. It supports the open JSON relaxation 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 hold been developed, released, and integrated by Hybrid in the ultimate 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 they also saw in the OneFlowCloud solution I previously reviewed. The system uses a user-friendly rules-based pipeline node structure for pile workflows which can comprehend Web Portal, file processing, pre-press, and data flow. The platform ground is Cloudflow Workspace, and the currently available modules comprehend 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 dole a unusual packaging prepress application. Hybrid Software will breathe an exclusive distributor for this solution in most parts of the world and will breathe introducing it at Labelexpo Brussels later this month. An instance of an implementation using Cloudflow can breathe 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 plenary Process Director. The application was initially developed by IBM InfoPrint, which was acquired as a subsidiary of Ricoh in 2010 following a epoch 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 breathe configured to the needs of many different applications, from towering volume variable data direct marketing to general commercial print. Initially designed to advocate the IBM digital roll-fed production presses and applications, V3 added a visual and conditional workflow builder, as well as advocate for Ricoh crop 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. They hold discussed PRINERGY in past articles, but this unusual release is undoubtedly a statement of Kodak’s object to advocate 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 mammoth change in PRINERGY 6 is the unusual 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 each and every 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 breathe triggered by events or manually by hitting a ‘play’ button.

    HP

    HP showed its latest version of the SmartStream Production hub which is currently a linear pipeline workflow solution that integrates with their other SmartStream offerings. However, they 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 measure EFI Fiery DFE. Konica Minolta also showed two of its own unusual workflow solutions:

  • EngageIT Automation a predefined production system that operates with a portal and print catalog; and
  • EngageIT XMedia, a cross-media marketing crusade workflow solution. They 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 expose to feature implementation of APPE3 in XMF driving the J Press 720 Inkjet Press.

    Agfa

    While not displaying at Print13, Agfa announced that the unusual APPE3 will breathe 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 advocate for BigTIFF and additional printer marks on multi-page documents.

    In the next article, fragment Two, they will notice at some of the unusual and updated MIS/ERP industry workflow solutions that were introduced at Print 2013 in Chicago.

    Remember, if you hold any topics you mediate are notable and would enjoy us to cover during the equipoise of this series, tickle let us know!

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


    Intel Introduces Highly all-around Datacenter Processor Family Architected for unusual Era of Services | killexams.com existent 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 towering performance computing, cloud and enterprise segments, and offer compelling unusual opportunities for telecommunications.
  • Amazon Web Services* becomes first cloud service provider to consume 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 all-around processors that promises to redefine the server, storage and networking infrastructure establish in datacenters. With greater efficiency and flexibility, these processors will enable the rapid delivery of services for towering performance computing, cloud and enterprise segments, and offer compelling unusual opportunities for telecommunications vendors.

    The unusual Xeon product family is based on Intel’s leading 22-nanometer process technology, contributing to stagy 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 unusual cloud-based services requires an infrastructure that is all-around enough to advocate the diverse workloads and is flexible enough to respond to changes in resource require across servers, storage and network.”

    Much of the infrastructure today is not architected to advocate 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 unusual Intel Xeon processors provide a common, software compatible processing foundation and possess the features and tools to profit transform datacenters for the future.

    New, Powerful Engine for Agile, Efficient DatacenterThe Intel Xeon processor E5-2600 v2 product family is Intel’s most all-around processing technology and can address many of the constraints datacenters pan 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 unusual 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 breathe used in IBM’s unusual x3650 M4 HD high-density storage server, pattern for managing mammoth data and business-critical workloads, as well as each and every 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 hold a 66 percent3 compound annual growth rate over the next four years. This puts additional pressure on networking infrastructure to breathe 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 grasp up to two or three weeks to deploy required networking resources to advocate unusual 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 establish in networking appliances.

    Using Intel’s Open Network Platform (ONP) server reference design, customers can consume 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 role 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 confederate for Intel’s ONP server and switch reference design. “Organizations are looking for more open, industry measure technology to advocate intricate IT demands, whether they are cloud based-applications, advocate for virtualized environments or for replacing expensive appliances, such as firewalls, VPNs, and edge routers,” said Werner Schaefer, vice president of Market and industry 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 abbreviate 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 enlarge 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 grasp edge of Intel’s reference architecture platforms to accelerate SDN and NFV deployments. With more than 20 leading technology companies contributing, Intel’s partners will breathe 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 mammoth data analytics require more smart compute and storage intensive solutions, as well as a stagy subside in the cost-per-stored terabyte.

    Dell* has selected the unusual processors for its upcoming storage solution. “The Intel Xeon processor E5 v2 family provides a considerable hardware ground for Dell’s towering performance, innovative solutions enjoy their PowerEdge VRTX and smart 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 unusual agreement with Intel that covers both a technology and a marketing collaboration. The marketing collaboration includes for the first time the consume of the “Intel Inside” brand, letting AWS customers know that the services it provides are utilizing Intel technologies.

    AWS instances that exclusively consume Intel Xeon processors – intended for basic to performance-intensive consume cases – now array the brand. consume of the recognizable logo will communicate the performance, quality, and security benefits available to conclude 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 broadcast hundreds of Intel® Xeon® processor E5 family-based platforms. These manufacturers comprehend 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 breathe offered with 18 different parts which ambit in cost from $202 to $2,614 in quantities of 1,000. Additionally three single-socket Intel Xeon processor E5-1600 parts will breathe offered for workstations which ambit in cost from $294 to $1080.

    Complete pricing details can breathe establish in the http://intc.com/priceList.cfm. For more details on these unusual 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 hold 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 occasions 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 proceed 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 each and every of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and authenticate 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. unusual Configuration: Fujitsu PRIMERGY RX300 S8* platform with two Intel® Xeon® Processor E5-2660 v2, 48GB, Microsoft Windows Server 2012 measure 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. unusual 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. each and every 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 each and every of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and authenticate 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 selfsame degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations comprehend 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 consume with Intel microprocessors. unavoidable optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. tickle advert 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: proceed to: Learn About Intel® Processor Numbers



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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
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    Subject : Business & Economics
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    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
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    Subject : Computer Science & Technology
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
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    Subject : Business & Economics
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    Urban EconomicsUrban Economics
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    Publisher : McGraw-Hill (Jan 2018)
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    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
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    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (May 2018)
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Publisher : McGraw-Hill (Jan 2018)
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    Subject : Business & Economics, Communication & Media
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