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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 actual Questions

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IBM IBM Cloud Platform Solution

American airways companions with IBM to exercise IBM Cloud for substantial Cloud Transformation | killexams.com actual Questions and Pass4sure dumps

Jun 30, 2017

Stephanie Simone

American airways will exercise IBM Cloud because the foundation for a huge cloud transformation designed to shape inside approaches more productive, faster, more convenient and adaptable to stronger tackle web site site visitors throughout elevated volume periods.

constructing on the strategic cloud partnership signed with IBM in 2016, American airlines will migrate to the IBM Cloud a component of its essential purposes, together with aa.com, its consumer-facing cell app and its international network of verify-in kiosks.

additionally, different workloads and tools, such because the enterprise’s Cargo client website, will even be moved to the IBM Cloud.

As a section of the solution, American and IBM will toil together to flow essential functions to the IBM Cloud. In parallel, the two organizations possess teamed to rewrite these functions to the IBM Cloud Platform as a carrier (PaaS), and set up a cloud-native structure.

As section of this process, American will toil with IBM world capabilities to leverage IBM’s storage Methodology of developing resourceful purposes promptly through a micro-services architecture, design pondering, agile methodology, DevOps, and scrawny building.

IBM Cloud will advocate enable developers to directly build and alter software functionalities for the airline’s shoppers. These customer-facing systems might be on the IBM Public Cloud, while American maintains backend connectivity to different on-premise legacy and third-birthday party programs, for genuine Hybrid Cloud performance.

For more counsel about this information, discuss with www.ibm.com. 

smart power Water and IBM symptom Multi-year agreement to hasten Innovation on the Cloud | killexams.com actual Questions and Pass4sure dumps

NEW ORLEANS, Feb. 6, 2019 /PRNewswire/ -- DISTRIBUTECH 2019 – smart energy Water (SEW), a global energy and water cloud platform company serving over a hundred and fifty+ utilities global, has signed a multi-million greenback contract with IBM (NYSE: IBM) to leverage the IBM Cloud for SEW platform global deployment over the subsequent five years. 

throughout the modern contract, SEW will access the flexibleness and scalability of the IBM Cloud to supply a standard global infrastructure for his or her enterprise web and cellular applications. These workloads consist of consumer appointment and cell group of workers appointment purposes, online bill processing, power effectivity and exact response functions, reward classes as well as tools for actual-time information collection and management within the box. for example, a substantial scale energy enterprise can moreover rotate to stitch to deploy its full digital consumer and staff appointment platform with IBM Cloud. SEW can now scale its services faster, extra without hardship and at world scale to aid the business meet the fluctuating exact of its valued clientele.

This agreement comes as SEW appears to grow its company and tap into superior choices affection analytics, synthetic Intelligence (AI), machine learning and internet of things (IoT). through hosting these workloads on the IBM Cloud, SEW can gain extra value from its information and accelerate the edifice of modern tools that may advocate ameliorate effectivity and interact customers in modern and personalised methods.

The power and utilities business is grappling with an growing customary infrastructure, turning out to be customer exact for low-priced, respectable and environmentally sustainable electrical energy, in addition to stringent executive mandates on energy efficiency and water conservation. These challenges, coupled with the becoming expectations of cutting-edge tech-savvy buyers, possess pushed a quick want for exchange and are forcing many utilities to create modern company systems and tap modern applied sciences to solidify a competitive potential.

"consumers are open to modern methods of enticing with their utility," stated Harman Sandhu, President sensible power Water. "at the side of IBM, they will deliver solutions at massive scale that aid utilities lower the cost-to-serve via relocating customers from the convoke focus to lessen-charge digital channels, personalize carrier to boost standard customer satisfaction, and target shoppers for the rectify alternatives for price-added classes and capabilities."

The SEW and IBM agreement moreover provides a platform to collectively extend accretive and complementary go-to-market efforts globally.

"sensible energy Water is expecting the main possess an sequel on connected technologies can possess on their consumers enterprise," spoke of Brad Gammons, international managing director, IBM energy, environment and Utilities. "by using investing in information, their worker's can achieve their job more desirable than ever earlier than and customers can possess entry to self-service capabilities that can advocate enhance client service."

From managing renewables' fluctuating power degrees to bringing modern efficiency tools to patrons, utility providers are increasingly turning to hybrid multicloud solutions to aid meet the demands of a greater sustainability-focused, digital society. TenneT power, Ista UK, and Hydro Ottawa have recently turned to the IBM Cloud to assist them build modern client features, store cash, and generate profits.

For extra information about IBM Cloud's toil with energy and utilities seek recommendation from: https://www.ibm.com/industries/power

ContactJeannine KilbrideIBM Communications                                                               jkilbri@us.ibm.com860-997-6277

View customary content material to down load multimedia:http://www.prnewswire.com/information-releases/smart-energy-water-and-ibm-sign-multi-yr-contract-to-velocity-innovation-on-the-cloud-300790504.html

supply IBM

Copyright (C) 2019 PR Newswire. every bit of rights reserved

IBM cloud lands huge purchasers in the power sector | killexams.com actual Questions and Pass4sure dumps

IBM Corp. may no longer hoist the equal variety of clout in the public cloud as competitors akin to Amazon web features Inc. and Microsoft Corp., but it’s managing to compete in inescapable zone of interest industries where its entertaining synthetic intelligence and data analytics capabilities can shape every bit of of the change.

Such is the case with smart energy Water, which has just agreed a multimillion-greenback deal to stream some of its most essential workloads to IBM’s cloud from an extra leading cloud platform. SEW, which provides client engagement, team of workers appointment and big facts analytics features to power and utilities groups, mentioned it’s relocating to IBM’s cloud as a course to seize potential of huge Blue’s incredibly really expert AI, records analytics and “web of things” capabilities.

The theory is that it will possibly faucet into these capabilities with the end to aid its customers be certain that the power they provide is used more efficiently. To achieve this, SWE gives features to aid organizations control their energy grids extra without problems. It additionally sells sensible meter tools that assist patrons to retain tabs on their own energy exercise extra quite simply.

IBM reckons its abilities is advantageous to energy sector groups like SEW as a result of many are struggling to movement functions and workloads from on-premises environments to the clouds. That’s because the power industry is among the most closely regulated on the earth, and most companies comfortably don’t know where to start, it said.

IBM’s claims are backed by means of the huge variety of power firms with which it has currently partnered. for example, it’s working with TenneT maintaining B.V.’s subsidiary TenneT power, which offers power to purchasers in Germany and the Netherlands. IBM is helping TenneT to build a blockchain platform on its cloud that might be able to manipulate the issuer’s electrical energy grid extra without problems, helping it to reduce the can imbue of providing energy from fluctuating renewable energy sources.

other IBM partners within the energy trade consist of Ista UK options Ltd., which uses its cloud to host an interactive energy metering and billing platform. There’s additionally Hydro Ottawa preserving Inc., which relied on IBM’s skills to abide via industry rules when migrating to its cloud platform.

to this point this yr, IBM has signed more than $three billion expense of modern cloud contracts, together with modern valued clientele such as BNP Paribas S.A., Juniper Networks Inc. and the financial institution of the Philippine Islands.

photo: SEW/facebook since you’re prerogative here …

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The Apache Software Foundation Announces Apache® jclouds™ v2.0 | killexams.com actual questions and Pass4sure dumps

November 15, 2016 06:00 ET | Source: The Apache Software Foundation

Forest Hill, MD, Nov. 15, 2016 (GLOBE NEWSWIRE) -- The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today the availability of Apache® jclouds™ v2.0, the Java multi-cloud toolkit.

Apache jclouds gives users the license to create applications that are portable across clouds while providing full control to exercise cloud-specific features. As a cloud-agnostic library, jclouds enables developers to access a variety of supported cloud providers using one API.

"Apache jclouds 2.0 represents a significant milestone for the project" said Ignasi Barrera, Vice President of Apache jclouds. "We are supercilious to advocate every bit of major cloud providers in the marketplace with a mature, stable, codebase that is ready for production."

jclouds entered the Apache Incubator in April 2013 and graduated as a Top-Level Project (TLP) in October of the very year. The Apache jclouds 2.0 release is the 11th release as a TLP and the consolidation of the project, with more than 13K commits (1K in the ultimate release) made by more than 250 contributors (35 modern ultimate year).

Under The HoodApache jclouds 2.0 features include:

  • Wider compatibility with the Guava and Guice libraries.
  • Configuration of arbitrary hardware values in the compute abstraction.
  • Support for modern cloud providers such as Microsoft Azure Resource Manager, ProfitBricks v3, OneAndOne and Backblaze B2.
  • Better integration with OSGi and Apache Karaf.
  • Numerous bug fixes and performance improvements.
  • Apache jclouds is used by Abiquo, Adobe, CloudBees, Cloudify, Cloudsoft, Mesosphere, and RedHat, among many others. In addition, jclouds is supported by cloud companies and communities such as Amazon Web Services, Backblaze B2, Apache CloudStack, Docker, Google Cloud Platform, Microsoft Azure, OpenStack, Rackspace, and many more.

    "Abiquo, as the creator of the leading commercial cloud management platform, relies on jclouds to give their customers the agility they need," said Ian Finlay, CEO of Abiquo. "Using jclouds and their plugin architecture they possess been able to deliver advocate for modern cloud providers and features demanded by their customers in days or weeks rather than months. This approach ensures that their service provider and enterprise customers can bring together the cloud providers they requisite to deliver a powerful hybrid cloud solution to their customers."

    "Apache jclouds provides Cloudsoft AMP with a layer of abstraction across clouds allowing Cloudsoft AMP to model, deploy and manage applications in line with their customers’ requirements," said Duncan Johnston-Watt, Founder and CEO of Cloudsoft. "Many of their customers possess multi-cloud application strategies and requisite rapid advocate for target locations as these emerge. I’m pleased to note advocate Microsoft Azure Resource Manager and improvements for OpenStack (Mitaka) and IBM cloud targets."

    "We are very supercilious of their achievement and welcome contributions that advocate grow the Apache jclouds community, including joining their mailing lists and submitting feedback, exercise cases, bug reports, patches, and documentation," added Barrera.

    Availability and OversightApache jclouds software is released under the Apache License v2.0 and is overseen by a self-selected team of energetic contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community evolution and product releases. For downloads, release notes, documentation, and more information on Apache jclouds, visit http://jclouds.apache.org/ and https://twitter.com/jclouds

    Get Involved!Apache jclouds welcomes contribution and community participation through mailing lists, an IRC channel, as well as attending face-to-face MeetUps, developer trainings, and user events. Those wishing to obtain involved in the project can find out more at http://jclouds.apache.org/community/

    About The Apache Software Foundation (ASF)Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most approved Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 550 individual Members and 5,300 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, OPDi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

    © The Apache Software Foundation. "Apache", "jclouds", "Apache jclouds", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. every bit of other brands and trademarks are the property of their respective owners.

    # # #

    Sally Khudairi Vice President The Apache Software Foundation +1 617 921 8656

    Comparing Kubernetes to Pivotal Cloud Foundry — A Developer’s Perspective | killexams.com actual 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 requisite to define the template for this docker image yourself in a Dockerfile, while in PCF you obtain this template automatically from a buildpack.

    Management Console Cloud Foundry

    PCF separates the web dashboard to two divorce target audiences.

  • Ops Manager is targeted at the IT professional that is accountable 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 accountable for pushing application code to testing or production environments. The developer is completely unaware of the underlying infrastructure that runs its PCF cluster. every bit of he can really note is the quotas assigned to his organization, such as reminiscence limits.
  • Kubernetes

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

    As you can note from the left-hand side, there is a lot of data to process here. You possess 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 expose you this is the very person in a Devops culture, and that’s a honest 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 every bit of aspects of the developer interaction. Following in the footsteps of simplicity that you might possess already noticed, the thought is to seize 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 every bit of you need. PCF will lookup the current working directory and find the jar executable. It will then update bits to the platform, where the java buildpack would create a container, calculate the required reminiscence settings, deploy 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 affection reminiscence 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 weigh in you give up any control. You possess a lot of customizations available in PCF. You can define your own routes, set the number of instances, max reminiscence and disk space, environment variables etc. every bit of of this can be 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 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 imbue how.


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

    For starters, a basic assumption is that you possess a private docker registry available and configured (unless you only draw to deploy images available on public registries such as docker hub). Once you possess that registry up and running, you will requisite 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 illustration of starting up an nginx server:

    # start the pod running nginx$ kubectl sprint --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 very 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 sprint more. For example, an application container might want to possess some monitoring dameon container in the very pod.

    In order to shape the container accessible to other pods in the Kubernetes cluster, you requisite 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 noiseless not exposed to the outside world. For that, you requisite to wrap your service with an ingress.

    Note: Ingress is noiseless considered a beta feature!

    I could not find a simple command to expose an ingress at this point (please rectify 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 convoke 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 exercise 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 requisite to be specific. Don’t anticipate deployments to be implied. If I had to create a haiku for Kubernetes, it’ll be probably something affection this:

    Here’s my code

    I’ll expose you exactly how you should sprint it on the cloud for me

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

    Zero Downtime Deployments

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

    2019 update: As of Pivotal Cloud Foundry 2.4, native zero-downtime deployments are available out of the box!

    Cloud Foundry

    With Pivotal Cloud Foundry, t̶h̶e̶r̶e̶’̶s̶ ̶n̶o̶ ̶b̶u̶i̶l̶t̶-̶i̶n̶ ̶m̶e̶c̶h̶a̶n̶i̶s̶m̶ ̶t̶o̶ ̶s̶u̶p̶p̶o̶r̶t̶ ̶a̶ ̶r̶o̶l̶l̶i̶n̶g̶ ̶u̶p̶d̶a̶t̶e̶, you’re basically expected to achieve some cf cli trickery to achieve the update with zero downtime. The concept is called blue-green deployment. If I had to interpret it in step-by-step guide, it’ll probably be something affection this:

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


    kubectl has a built-in advocate for rolling updates. You basically pass a modern 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 achieve a rolling update between every bit of pods of the kubernetes-bootcamp deployment from its current image to the modern 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 seize 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 inescapable 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 every bit of registered clients to hold an up-to-date list of hale instances.

    Registered clients can connect to Eureka and inquire of 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 every bit of 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 affection 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 every bit of 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 affection a glove.


    Kubernetes uses DNS resolution to identify other services within the cluster. Inside the very 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 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 such as Steeltoe for .NET). With Kubernetes, you can shape 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 possess an application called my-app in namespace zone1
  • It exposes a obtain /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.

    2018 update: Pivotal Cloud Foundry now supports polyglot, platform-managed service discovery similar to Kubernetes, using Envoy proxy, apps.internal domain and BOSH DNS.


    PCF offers a services marketplace. It provides a ridiculously simple course to bind your application to a service. The term service in PCF is not the very as a service in kubernetes. A PCF service binds your application to things affection a database, a monitoring tool, a message broker etc. Some illustration services 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 embrace MongoDB Enterprise 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 evolution or a highly-available database for a production environment.

    Last but not least, you possess 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 does not tender a marketplace out of the box. There is a service catalog extension that allows for a similar service catalog, however it is noiseless in beta.

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

    Kubernetes does possess 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.


    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 convoke 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 powerful solution, but again assumes that your applications are based on the Spring Cloud (or .NET Steeltoe) stack. If you’re already using spring boot with a config server today — PCF fits affection a glove.

    In Kubernetes, you can noiseless sprint a config server as a container, but that would probably become an unneeded operational overhead since you already possess built-in advocate for ConfigMaps. exercise the native solution for the platform you fade with.

    Storage Volumes

    A substantial differentiator of Kubernetes is the capacity 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 obtain a accountable storage solution, which lets you sprint storage-based containers affection 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 seize the very application that runs today in your on-prem data center, mosey 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 odds or a disadvantage depending on your application and architecture. For stateless application runtimes such as web servers, it is always a proper thought 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 requisite to know and too many assumptions about what you already possess (docker registry and a git repository are often taken for granted).

    Just taking a gape at the excellent Kubernetes Basics interactive tutorial shows the flat of lore 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 requisite to understand. Trying to ensue 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 possess some jenkins pipeline in place. They just want to sprint the very thing in a cloud environment.

    If we’ll seize a gape at PCF’s “Getting Started with Pivotal Cloud Foundry”, it’s almost comical how diminutive is required to obtain something up and running. When you requisite more involved interaction, it’s every bit of available for you, either in the cf cli, as section of a manifest.yml, or in the web console, but this doesn’t forestall 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 powerful open source platform. Kudos to Google for giving up control and letting the community achieve its thing. That’s probably the number one reason why Kubernetes has taken off so quickly while other solutions affection Docker swarm are falling behind. Other vendors moreover tender solutions that tender 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 affection 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 destroy it and mosey to the next substantial thing (Does anyone bethink Google Buzz, Google Wave or Google Reader?). Any AngularJS developer who’s trying to mosey to Angular 5 can expose you that backwards compatibility is not a top priority.

    Cloud Foundry

    Cloud Foundry is moreover 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 affection 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 respond 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 powerful product. I feel affection the platform is more focused, and focus is censorious in my line of work.


    The actual amaze of the recently announced PCF 2.0 was that every bit of I’ve been talking about throughout this article is now just one section of a larger offering. The application runtime (everything that is referred to as PCF in this article) is now called Pivotal Application Service (PAS). There is moreover a modern serverless solution called Pivotal role Service (PFS), and lastly — a modern Kubernetes runtime called Pivotal Container Service (PKS). This means that Pivotal Cloud Foundry now gives you the best of both worlds: A powerful application runtime for quickly onboarding of cloud-native applications, as well as a powerful container runtime when you requisite to develop generic low-level containers.


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

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

    Thank you for reading, and blissful coding!

    Oded Shopen

    Visit my homepage: http://odedia.org

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

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    Intel Introduces Highly multifaceted Datacenter Processor Family Architected for modern Era of Services | killexams.com actual questions and Pass4sure dumps

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


  • 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 elevated performance computing, cloud and enterprise segments, and tender compelling modern opportunities for telecommunications.
  • Amazon Web Services* becomes first cloud service provider to exercise 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 multifaceted processors that promises to redefine the server, storage and networking infrastructure organize in datacenters. With greater efficiency and flexibility, these processors will enable the rapid delivery of services for elevated performance computing, cloud and enterprise segments, and tender compelling modern opportunities for telecommunications vendors.

    The modern Xeon product family is based on Intel’s leading 22-nanometer process technology, contributing to histrionic energy efficiency improvements of up to 451 percent when compared to the previous generation. The processor family moreover 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 modern cloud-based services requires an infrastructure that is multifaceted enough to advocate the diverse workloads and is supple enough to respond to changes in resource exact 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 requisite to evolve to a “software defined infrastructure” where many of the functions are managed in software. The modern Intel Xeon processors provide a common, software compatible processing foundation and possess the features and tools to advocate transform datacenters for the future.

    New, Powerful Engine for Agile, Efficient DatacenterThe Intel Xeon processor E5-2600 v2 product family is Intel’s most multifaceted 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 modern IBM* NeXtScale System, a high-density, supple computing platform designed for high-demand workloads such as analytics, technical computing and cloud delivery. Intel’s newest processor family moreover will be used in IBM’s modern x3650 M4 HD high-density storage server, standard for managing substantial data and business-critical workloads, as well as every bit of 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 possess 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 seize up to two or three weeks to deploy required networking resources to advocate modern 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 organize in networking appliances.

    Using Intel’s Open Network Platform (ONP) server reference design, customers can exercise 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 evolution 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 standard technology to advocate involved 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 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 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 multiply flexibility in dynamic resource provisioning.

    To assist in accelerating the deployment of software defined infrastructures, Intel moreover announced Intel® Network Builders ecosystem. The program allows ecosystem partners to seize odds 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 moreover 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 substantial data analytics require more smart compute and storage intensive solutions, as well as a histrionic abate in the cost-per-stored terabyte.

    Dell* has selected the modern processors for its upcoming storage solution. “The Intel Xeon processor E5 v2 family provides a powerful hardware basis for Dell’s elevated performance, innovative solutions affection 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 modern agreement with Intel that covers both a technology and a marketing collaboration. The marketing collaboration includes for the first time the exercise of the “Intel Inside” brand, letting AWS customers know that the services it provides are utilizing Intel technologies.

    AWS instances that exclusively exercise Intel Xeon processors – intended for basic to performance-intensive exercise cases – now panoply the brand. exercise of the recognizable logo will communicate the performance, quality, and security benefits available to finish customers. AWS is moreover 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 embrace 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 expense 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 expense from $294 to $1080.

    Complete pricing details can be organize in the http://intc.com/priceList.cfm. For more details on these modern 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 possess 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 reason 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 fade 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 every bit of of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and validate 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. modern 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. modern 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. every bit of 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 every bit of of its customers to visit the referenced Web sites or others where similar performance benchmark data are reported and validate 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 very degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations embrace 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 exercise with Intel microprocessors. inescapable optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. tickle 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: fade to: Learn About Intel® Processor Numbers

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