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

Vendor : IBM
Exam Code : C5050-380
Exam Name : IBM Cloud Platform Solution Architect v2
Questions and Answers : 63 Q & A
Updated On : January 22, 2019
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C5050-380 Questions and Answers

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C5050-380 IBM Cloud Platform Solution Architect v2

Study Guide Prepared by Killexams.com IBM Dumps Experts


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

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

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IBM IBM Cloud Platform Solution

IBM broadcasts Cloud-based mostly neighborhood Platform for Cyber safety purposes | killexams.com Real Questions and Pass4sure dumps

IBM security hook up with enable Open standards-primarily based Collaboration on AI Platform Backed by means of greater than a Dozen groups

CAMBRIDGE, Mass., Oct. 15, 2018 /PRNewswire/ -- IBM (NYSE: IBM) these days announced a brand new cloud-based neighborhood platform for cyber safety functions. IBM safety connect is the first security cloud platform developed on open federated applied sciences, with AI at its core, to investigate protection records across in the past unconnected tools and environments. 

IBM organization emblem. (PRNewsFoto/IBM enterprise) (PRNewsFoto/) (PRNewsfoto/IBM)

more

An IBM evaluation of purchasers' environments discovered that on commonplace, cybersecurity groups are the usage of over eighty distinct protection products from forty distinct vendors. Our analysis additionally suggests lower than 20 percent of the aspects in these on-premise tools are used and might not provide the outcomes purchasers expect because of integration and complexity challenges.  

by way of integrating safety records from IBM safety products with an ecosystem of safety vendors, valued clientele, and business partners, IBM protection join is designed to assist enhance effectivity and collaboration as teams preserve against cybercrime. IBM safety connect will permit users to observe machine studying and AI, together with Watson for Cyber safety, for evaluation to assist them identify threats or dangers and enrich the efficacy and effectivity of danger detection and response. users can design and installation new personalized and finished options to tackle safety outcomes, such as SOC Operations workflows or Digital have faith. 

IBM security connect will lengthen the wealthy set of capabilities from IBM's safety items, via amazing integration capabilities to connect records, applications and equipment from an ecosystem of providers, made feasible by way of the cloud.   

"The boom of cybersecurity know-how and statistics mixed with a growing talents shortage is developing an sudden stage of complexity for security groups," observed Marc van Zadelhoff, general supervisor, IBM protection. "Leveraging the energy of the cloud, we are able to now bring together equipment, information and people with out costly customization and integration initiatives. information federation through IBM protection join helps provide security gurus accelerated protection visibility and efficiency without the bother of migrating information or overly advanced product integrations."

a new, Open strategy to Cloud safety

IBM safety join will help handle one of the crucial greatest protection challenges these days by way of open requisites, which could help pave the style toward collaborative innovation. as it is constructed on open requirements, it may aid agencies construct pleasing microservices, increase new security purposes, integrate present safety solutions, and leverage information from open shared services. 

Key functions consist of: Open security information integration services for sharing and normalizing probability intelligence, federated information browsing throughout on-premise and cloud records repositories and protection options, and true-time sharing of security alerts/routine and insights that may also be leveraged by any app or answer built-in with the platform. 

IBM protection join will develop into the home of IBM's current safety App exchange and all IBM protection applications developed on a platform powered by way of IBM Cloud, but utterly appropriate with different cloud suppliers.  IBM security will additionally champion the advent of new open necessities in burgeoning areas such as the sharing of response playbooks and analytics patterns and will actively put money into developing new open source initiatives that align with these efforts.

Story continues

IBM safety's dedication to openness also ability that many present open security and protocol requisites are leveraged throughout the platform, similar to STIX™ (Structured possibility tips eXpression) and TAXII™ (relied on automatic alternate of Indicator information). The IBM protection assignment STIX-Shifter, which is publicly attainable on GitHub, consists of an open source library which allows for utility to connect to items that condo information repositories the usage of STIX Patterning, and return effects as STIX Observations.  the use of these open necessities for connecting to any records supply mixed with IBM protection's already effective protection analytics and incident response capabilities helps shoppers to profit broader visibility and observe threats and dangers that have been in any other case overlooked because of disconnected information throughout advanced hybrid environments. 

IBM safety join's preliminary set of functions and capabilities will allow users to without delay connect with dissimilar security products or facts repositories to automatically federate statistics for the goal of prioritizing and responding to threats. This revolutionary strategy of federating facts allows valued clientele to leave their facts the place it is, as hostile to building expensive records lakes, which may complicate or outright evade protection statistics evaluation.

IBM protection join will even be a vital part of IBM security capabilities offerings both as a purchaser and a contributor of new innovation; including advancements in voice-enabled AI, laptop getting to know for safety probability scoring, global danger analytics, orchestration playbooks and cellular-enabled MSS purposes.  IBM security features will leverage the open vigour of IBM safety hook up with increase deep and effective integrations throughout its companion ecosystem to convey more suitable cost for its global clients.

Addressing Complexity in Cybersecurity Operations

Designed to carry "neighborhood-pushed" security suggestions, IBM security connect will operate as an open platform with an open building group.  As a part of modern day announcement, a big number of know-how partners and world equipment integrators including Cisco, Capgemini, Carbon Black, investigate aspect, CrowdStrike, EY, ForeScout, Forcepoint, Fortinet, McAfee, Qualys, Smarttech, Symantec, Tenable, trend Micro, and VMware have committed to integrating with IBM security connect so as to aid provide more advantageous information sharing throughout safety companies for our joint shoppers.  a lot of these vendors will also make contributions to building integrated purposes on IBM protection connect.  IBM already has lots of of pre-developed apps built through IBM and companions accessible via the IBM protection App change for integrating at the product stage. once purchasable, these additional integrations should be developed into IBM security join within months of launch, widening the attain of the platform to help control compliance and tackle threats.

as an example, one of the first solutions being demonstrated via valued clientele will focal point on possibility Operations Workflow. This answer is designed to empower protection analysts to proactively establish, examine, and respond to their most important threats from a single, cloud-based mostly solution. threat Operations Workflow integrates seamlessly through open connectors to QRadar (both on-premise or cloud), as well as other SIEMs and endpoint solutions. by means of leveraging open SDKs, other protection records ponds or lakes comparable to Hadoop, and point protection products may also be supported to give a federated view and workflow for safety analysts throughout up to now unintegrated and siloed items.    

inbuilt advantage and abilities

With the well-documented skills challenge the protection trade is facing, IBM security join will additionally function digitized expertise from IBM's 4,000+ international protection practitioners to deliver most suitable practices and suggestions on how to put in force security and possibility management ideas. The pre-built-in apps enable clients to create convenient-to-use ordinary workflows throughout multiple purposes, so teams can focal point on solving protection concerns in its place of struggling to integrate dozens of protection items. moreover, IBM security has dedicated 50 developers toward development of the group, the place safety practitioners can collaborate and share integrations.

IBM security connect is designed to make having access to IBM X-force security features capabilities even more straightforward for shoppers at all tiers; together with offerings and capabilities in X-drive pink protection testing, Managed protection features and Incident Response functions.

IBM safety join is expected to be purchasable in 1Q 2019.

About IBM safety 

IBM protection offers one of the most superior and built-in portfolios of enterprise protection items and features. The portfolio, supported by means of world-famous IBM X-force® analysis, makes it possible for businesses to without problems manage possibility and defend against rising threats. IBM operates one of the world's broadest protection research, development and birth groups, monitors 60 billion safety events per day in more than one hundred thirty international locations, and has been granted greater than 8,000 protection patents international. For greater assistance, please assess www.ibm.com/protection, observe IBMSecurity on Twitter or talk over with the IBM security Intelligence weblog. 

CONTACT: Dillon Townsel dillon.townsel@ibm.com 512-571-3455

View fashioned content material to down load multimedia:http://www.prnewswire.com/information-releases/ibm-publicizes-cloud-based mostly-neighborhood-platform-for-cyber-safety-functions-300730681.html


IBM broadcasts new platform to deliver cloud native capabilities to the inner most cloud | killexams.com Real Questions and Pass4sure dumps

IBM has introduced a new IBM Cloud inner most utility platform designed to carry the energy of cloud-native environments to inner most clouds. The IBM Cloud deepest solution makes it possible for agencies to construct on-premises cloud capabilities corresponding to public clouds, and speed up app construction.

The solution is constructed on a Kubernetes-primarily based container architecture, aiding Docker containers and Cloud Foundry.

“Innovation and adoption of public cloud functions has been constrained by using the problem of transitioning complex business methods and applications into a true cloud-native ambiance,” talked about Arvind Krishna, senior vice chairman for IBM Hybrid Cloud and Director of IBM research. “IBM Cloud inner most brings fast application development and modernization to current IT infrastructure and positions it to be mixed with the services and journey of a public cloud platform.”

Key aspects of the IBM Cloud private software consist of cloud management automation, security and facts encryption, a container engine, Kubernetes orchestration, administration tools developer runtimes, infrastructure option, statistics and analytics, and application guide and DevOps equipment.

moreover, IBM introduced types of its core business software: IBM WebSphere Liberty, Dd2 and MQ. These new updates purpose to make it simpler to share data and evolve apps throughout IBM Cloud and different cloud environments.

in accordance with IBM, companies in regulated industries corresponding to finance and healthcare are turning to the inner most cloud besides the public cloud so as to launch and update apps more rapidly. The business estimates that in 2017, organizations will have spent over $50 billion worldwide on growing and evolving deepest clouds. It expects corporations to invest 15 to 20% more each year on inner most clouds via 2020.

“deepest cloud is a ought to for a lot of businesses comparable to ours working to cut back or eliminate their dependence on inner information centers,” mentioned Tyler superior, Hertz chief information officer. “a strategy which include public, inner most and hybrid cloud are primary for massive organisations to readily make the transition from legacy programs to cloud. Hertz is an early adopter of both public and personal IBM cloud and we could not accomplish our expertise goals without inner most cloud as part of our usual cloud portfolio.”


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

Jun 30, 2017

Stephanie Simone

American airlines will use IBM Cloud as the basis for a massive cloud transformation designed to make inner strategies more efficient, quicker, more straightforward and adaptable to superior handle web page traffic all over high extent durations.

building on the strategic cloud partnership signed with IBM in 2016, American airlines will migrate to the IBM Cloud a element of its crucial functions, together with aa.com, its client-facing mobile app and its global community of investigate-in kiosks.

additionally, different workloads and tools, such because the company’s Cargo customer website, will also be moved to the IBM Cloud.

As a part of the solution, American and IBM will work together to stream crucial applications to the IBM Cloud. In parallel, the two corporations have teamed to rewrite these functions to the IBM Cloud Platform as a service (PaaS), and establish a cloud-native structure.

As a part of this system, American will work with IBM international functions to leverage IBM’s storage Methodology of creating imaginitive applications at once through a micro-features architecture, design thinking, agile methodology, DevOps, and lean construction.

IBM Cloud will help enable builders to promptly construct and alter application functionalities for the airline’s customers. These client-facing techniques might be on the IBM Public Cloud, whereas American keeps backend connectivity to other on-premise legacy and third-celebration programs, for authentic Hybrid Cloud performance.

For greater guidance about this news, consult with www.ibm.com. 


C5050-380 IBM Cloud Platform Solution Architect v2

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com C5050-380 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



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

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

Get C5050-380 certified with actual take a look at question financial institution.
killexams.com works! I surpassed this examination final fall and at that time over 90% of the questions were in realitylegitimate. they may be rather probable to still be legitimate as killexams.com cares to update their substances regularly. killexams.com is a top notch organization which has helped me more than once. Im a normal, so hoping for discount for my next package deal!


clearly incredible revel in!
i am saying from my experience that in case you resolve the query papers one after the other then youll simply crack the exam. killexams.com has very powerful take a look at fabric. Such a totally beneficial and helpful website. thank you crew killexams.


Passing the C5050-380 exam with enough knowledge.
Heres yet every other vote for killexams.com because the great manner to put together for C5050-380 exam. I opted for this kit to put together for my C5050-380 exam. I didnt set my hopes too excessive and saved an eye fixed at the legit syllabus to ensure I do not pass over any topics, and it became out that killexams.com had them all protected. The guidance turned into very stable and i felt confident at the exam day. And what sincerely made killexams.com incredible become the moment after I realized their questions were precisely the same as what actual examination had. just as promised (which I didnt truely anticipate to be true - you know the way it really works sometimes!). So, this is extremely good. Dont hesitate, cross for it.


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Well I used to spent most of my time browsing the web but it was not all in vain because it was my browsing that brought me to this killexams.com right before my C5050-380 exam. Coming here was the best thing that happened to me since it got me study well and consequently put up a good performance in my exams.


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ive been so weak my entire way yet I recognise now that I needed to get a bypass in my C5050-380 and this will make me popular probably and sure im quick of radiance yet passing my tests and solved almost all questions in just 75 minutes with killexams.com dumps. more than one exquisite men cant deliver a exchange to planets manner however they can simply will let you realize whether you have got been the principle fellow who knew the way to do this and i need to be recognized in this world and make my own specific imprint.


Do you want dumps modern C5050-380 examination to clean the examination?
Yes, the question financial institution could be very useful and i suggest it to all people who wants to take those checks. Congrats on a process nicely idea out and completed. I cleared my C5050-380 tests.


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I handed C5050-380 certification with ninety one percentage marks. Your mind dumps are very similar to actual examination. Thank you for your greatassist. I am capable of keep to use your dumps for my subsequent certifications. At the same time as i used to be hopeless that i cant emerge as an IT licensed; my pal advised me about you; I attempted your on line education equipment for my C5050-380 examinationand emerge as capable of get a 91 result in exam. I personal way to killexams.


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I dont experience by myself a mid tests any longer in light of the fact that ive a beautiful examine partner as this killexams.Com dumps. Im quite appreciative to the educators right right here for being so extraordinary and properly disposed and assisting me in clearing my distinctly exam C5050-380. I solved all questions in exam. This equal course turned into given to me amid my exams and it didnt make a difference whether or not or no longer it have become day or night, all my inquiries have been spoke back.


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The Apache Software Foundation Announces Apache® jclouds™ v2.0 | killexams.com real 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 freedom to create applications that are portable across clouds while providing full control to use 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 proud to support all 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 same 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 last release) made by more than 250 contributors (35 new last 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 new 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 our customers the agility they need," said Ian Finlay, CEO of Abiquo. "Using jclouds and our plugin architecture we have been able to deliver support for new cloud providers and features demanded by our customers in days or weeks rather than months. This approach ensures that our service provider and enterprise customers can bring together the cloud providers they need to deliver a great 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 our customers’ requirements," said Duncan Johnston-Watt, Founder and CEO of Cloudsoft. "Many of our customers have multi-cloud application strategies and need rapid support for target locations as these emerge. I’m pleased to see support Microsoft Azure Resource Manager and improvements for OpenStack (Mitaka) and IBM cloud targets."

    "We are very proud of our achievement and welcome contributions that help grow the Apache jclouds community, including joining our mailing lists and submitting feedback, use 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 active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development 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 get 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 popular 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. All 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 real questions and Pass4sure dumps

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

    Management Console Cloud Foundry

    PCF separates the web dashboard to two separate target audiences.

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

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

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

    Command Line Interface Cloud Foundry

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

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

    cf push myapp -p myapp.jar

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

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

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

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

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

    Here’s my code

    Run it on the cloud for me.

    I don’t care how.

    Kubernetes

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

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

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

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

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

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

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

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

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

    Note: Ingress is still considered a beta feature!

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

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

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

    kubectl create -f my-ingress.yaml

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

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

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

    Here’s my code

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

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

    Zero Downtime Deployments

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

    Cloud Foundry

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

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

    Kubernetes

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

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

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

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

    kubectl rollout undo deployments/kubernetes-bootcamp External Load Balancing

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

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

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

    PCF supports two methods of load balancing inside the cluster:

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

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

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

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

    Kubernetes

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

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

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

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

    Marketplace

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

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

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

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

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

    Kubernetes

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

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

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

    Configuration

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

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

    Storage Volumes

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

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

    Onboarding Kubernetes

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

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

    Cloud Foundry

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

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

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

    Vision Kubernetes

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

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

    Cloud Foundry

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

    If Kubernetes is Google, then PCF is Apple.

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

    PKS

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

    Conclusion

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

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

    Thank you for reading, and happy coding!

    Oded Shopen

    Visit my homepage: http://odedia.org

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

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

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


    Alibaba Cloud Container Service for Blockchain | killexams.com real questions and Pass4sure dumps

    Yu Shan, a Senior Technical Expert at Alibaba Cloud, shared his topic on "Agile Smart Connection: Blockchain Business Innovation Based on Container Technology" at the 2017 Computing Conference at the C Beijing Summit. He introduced the technical advantages of Alibaba Cloud blockchain in terms of Alibaba Cloud Container Service and blockchain project solutions.

    The following content is sourced from his presentations at the 2017 Computing Conference, C Beijing Summit.

    Basic Concepts of Blockchain

    1

    Blockchain technology is a distributed shared ledger technology, which is mainly used for Internet databases. With this technology, trading parties share data with regulators over blockchain networks. Each party has a ledger. Once a transaction is confirmed and agreed upon by all parties and written in the ledger, the ledger cannot be altered. The transaction history can be traced back. Transaction information and identities of trading parties are protected as private information. Transactions are automatically implemented through smart contracts.

    Blockchain can be classified into a public chain, private chain, and alliance chain. Key technologies involve consensus algorithm, cryptology, and distributed architecture. The blockchain technology can solve the trust problem and make for decentralized/multi-center architectures.

    Hyperledger Fabric belongs to the Linux Foundation. It is the most influential subproject under the Hyperledger project and the most influential basic architecture for blockchain. Based on Apache License v2, the project is programmed using the Go language. Chaincode can be developed using the Go language and will be developed using the Node.js language. Client SDKs currently support the Node.js and Java languages and will support both Python and Go languages. The project was established on December 17, 2015. Version 0.6.0 (developer preview version) was released on September 16, 2016, version 1.0.0 (golden master) was released on July 11, 2017, and version 1.1.0 was released in the first quarter of 2018.

    2

    Consumer process information is collected through Kafka clusters over Hyperledger Fabric-based blockchain networks, and producer process information is collected through Zookeeper Ensemble. The information is managed by the Orderer Service. All parties enjoy equal service and collect transaction information. Trading parties share data with regulators over blockchain networks. Each party has a ledger.

    Alibaba Cloud Container Service

    3

    Alibaba Cloud Container Service is built based on DevOps (integrated management), microservices, enterprise application, and smart innovation. Container Service involves multi-cluster management, security compliance, hybrid cloud, and log monitoring technologies.

    In terms of the app market, the image repository and application/service catalog are applied. On Alibaba Cloud servers, Kubernetes function components work through Linux clusters. In terms of Docker containers, the Linux operating system is compatible with the Windows operating system. In terms of Virtual Private Cloud (VPC) agile servers, the Linux cluster memory service is enabled on physical machines, and the Linux operating system is compatible with the Windows operating system on virtual machines.

    Alibaba Cloud Container Service Docker + K8S technology implementation Kubernetes function components are in Kubernetes v1.8.1 and will be upgraded to v1.8.4. Alibaba Cloud Kubernetes management service uses Helm/Docker Compose for application orchestration and expansion and uses log and overhead gated release for container application O and M. Service catalogs are displayed as application catalogs. Multi-cluster management, cluster lifecycle management (upgrade and scale-up/down), hybrid cloud management (federation of local and cloud clusters supported), security compliance (RAM, Action Trail, and KMS), and container security (during image service and running) technologies are applied and implemented.

    K8S clusters are processed through nodes in control mode. On each of Docker, Containerd, and Windows Container nodes, data is collected by Kubelet components, network plug-ins, log plug-ins, overhead plug-ins, and two App terminals. In terms of Kubernetes cluster control, storage volumes are managed, Server Load Balancer, auto-scaling, and cluster federation are supported, and applications are expanded based on gated release, service dependency processing, and legacy environment compatibility.

    Blockchain Solution

    Blockchain business innovation is faced with enormous challenges: deep understanding of underlying blockchain technologies are required; configuration and deployment are complex and time-consuming; secondary development is difficult with a steep curve of learning platform technologies and reduced iteration speed; a variety of basic resources and services are required for blockchain so that it is difficult to integrate and control investment and quality of them; the deployment platform and environment are not secure enough without enterprise-level security control and risk prevention capabilities; the service quality cannot reach the production level, and the O and M process and methods are immature and inconsistent.

    The Alibaba Cloud server blockchain solution has the following advantages: a graphical wizard simplifying configuration and enabling automatic one-click deployment, which saves time and efforts; container cluster technologies based on the most mainstream Kubernetes and Swarm, natively supporting Hyperledger Fabric and accelerating blockchain business development; diverse powerful basic resources and services provided by Alibaba Cloud, seamlessly integrating the blockchain technology and improving cost-effectiveness; a reliable and secure cloud platform with multi-dimensional security management and risk prevention capabilities; diverse powerful and intuitive monitoring, log, and O and M services, ensuring stable running of the platform and applications in one-stop mode.

    The Blockchain Solution of Alibaba Cloud Container Service is applied in the following scenarios: asset securitization, letter of credit, asset custodian, global logistics and shipping, food and drug safety and tracing, medical insurance, and charity. Hyperledger Fabric implements open source mainstream blockchain for enterprises. It is developed, deployed, and run based on the container technology. Kubernetes and Docker swarm mode are supported. Hyperledger Fabric is used for development, test, education, and training of blockchain applications and solutions, and for the commercial popularization of cloud blockchain.

    4

    The preceding figure shows the overall architecture of the solution for the container without blockchain. With Alibaba Cloud's technology and server, the system can process data in batches at an enterprise level.

    5

    On the GUI, clusters are configured over blockchain networks, and blockchain networks are deployed in one-click mode. The system supports CLI, SDK, and App-coordinated commissioning as well as Hyperledger Fabric Explorer monitoring.

    6

    Kubernetes clusters are based on the container service Kubernetes application catalog and released in chart form. On the GUI, blockchain networks are specified and deployed to Kubernetes clusters in one-click mode. Different blockchain networks are isolated by namespace. The system supports CLI, SDK, and App coordinated commissioning, as well as Hyperledger Fabric Explorer monitoring.

    7

    Alibaba Cloud saves a lot of time in blockchain configuration and deployment.

    8

    By using the Alibaba Cloud blockchain technology in a prepared environment, on the GUI, you can configure blockchain, deploy blockchain in one-click mode, access blockchain in multiple ways, or delete blockchain. The process is simplified, blockchain can be accessed in multiple ways, and an efficient closed loop of development is formed.

    9

    Container service facilitates blockchain application innovation through image vulnerability scan, enterprise software supply chain, Kubernetes application deployment, and application repository.

    10

    Conclusion

    Alibaba Cloud Container Service allows you to build blockchain applications through clusters, nodes, images, and application catalogs. With Container Service, you can also deploy multiple clusters to handle enterprise-level issues.



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