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C5050-380 IBM Cloud Platform Solution Architect v2

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

Test Code : C5050-380
Test denomination : IBM Cloud Platform Solution Architect v2
Vendor denomination : IBM
: 63 actual Questions

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IBM IBM Cloud Platform Solution

IBM broadcasts Cloud-based mostly neighborhood Platform for Cyber safety purposes | killexams.com actual 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 fresh 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 separate protection products from forty separate vendors. Their analysis additionally suggests lower than 20 percent of the aspects in these on-premise tools are used and might not provide the outcomes purchasers await 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 industry partners, IBM protection combine is designed to assist enhance effectivity and collaboration as teams preserve against cybercrime. IBM safety connect will permit users to keep 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 fresh personalized and finished options to tackle safety outcomes, such as SOC Operations workflows or Digital relish faith. 

IBM security connect will lengthen the wealthy set of capabilities from IBM's safety items, via unbelievable integration capabilities to connect records, applications and paraphernalia 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, common supervisor, IBM protection. "Leveraging the energy of the cloud, they are able to now bring together equipment, information and people with out costly customization and integration initiatives. information federation through IBM protection combine 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 combine will wait on handle one of the crucial greatest protection challenges these days by way of open requisites, which could wait on pave the style toward collaborative innovation. as it is constructed on open requirements, it may aid agencies construct pleasing microservices, multiply fresh 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 furthermore subsist leveraged by any app or reply built-in with the platform. 

IBM protection combine will develop into the home of IBM's current safety App exchange and complete 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 fresh open necessities in burgeoning areas such as the sharing of response playbooks and analytics patterns and will actively achieve money into developing fresh open source initiatives that align with these efforts.

Story continues

IBM safety's dedication to openness furthermore 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 recur effects as STIX Observations.  the expend of these open necessities for connecting to any records supply mixed with IBM protection's already effectual protection analytics and incident response capabilities helps shoppers to profit broader visibility and keep threats and dangers that relish been in any other case overlooked because of disconnected information throughout advanced hybrid environments. 

IBM safety join's introductory set of functions and capabilities will allow users to without retard 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 station it is, as hostile to building expensive records lakes, which may complicate or outright evade protection statistics evaluation.

IBM protection combine will even subsist a vital Part of IBM security capabilities offerings both as a purchaser and a contributor of fresh 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 multiply abysmal and effectual 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 vast number of know-how partners and world paraphernalia integrators including Cisco, Capgemini, Carbon Black, investigate aspect, CrowdStrike, EY, ForeScout, Forcepoint, Fortinet, McAfee, Qualys, Smarttech, Symantec, Tenable, trend Micro, and VMware relish committed to integrating with IBM security connect so as to aid provide more advantageous information sharing throughout safety companies for their joint shoppers.  a lot of these vendors will furthermore acquire 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 subsist developed into IBM security combine within months of launch, widening the attain of the platform to wait on 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 reply is designed to empower protection analysts to proactively establish, examine, and respond to their most necessary 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 furthermore subsist supported to give a federated view and workflow for safety analysts throughout up to now unintegrated and siloed items.    

inbuilt edge and abilities

With the well-documented skills challenge the protection trade is facing, IBM security combine will additionally duty digitized expertise from IBM's 4,000+ international protection practitioners to deliver most suitable practices and suggestions on how to achieve in compel 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 station of struggling to integrate dozens of protection items. moreover, IBM security has dedicated 50 developers toward evolution of the group, the station safety practitioners can collaborate and share integrations.

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

IBM safety combine is expected to subsist 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 viable for businesses to without problems manage possibility and safeguard against rising threats. IBM operates one of the world's broadest protection research, evolution 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, gladden assess www.ibm.com/protection, keep 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 fresh platform to deliver cloud autochthonous capabilities to the inner most cloud | killexams.com actual Questions and Pass4sure dumps

IBM has introduced a fresh 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 viable 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 knotty industry methods and applications into a honest cloud-native ambiance,” talked about Arvind Krishna, senior vice chairman for IBM Hybrid Cloud and Director of IBM research. “IBM Cloud inner most brings quick application evolution and modernization to current IT infrastructure and positions it to subsist 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 steer and DevOps equipment.

moreover, IBM introduced types of its core industry software: IBM WebSphere Liberty, Dd2 and MQ. These fresh updates purpose to acquire 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 industry estimates that in 2017, organizations will relish 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 reduce back or liquidate their dependence on inner information centers,” mentioned Tyler superior, Hertz chief information officer. “a strategy which involve public, inner most and hybrid cloud are primary for massive organisations to readily acquire the transition from legacy programs to cloud. Hertz is an early adopter of both public and personal IBM cloud and they could not accomplish their expertise goals without inner most cloud as Part of their usual cloud portfolio.”


American airlines companions with IBM to expend IBM Cloud for vast Cloud Transformation | killexams.com actual Questions and Pass4sure dumps

Jun 30, 2017

Stephanie Simone

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

building on the strategic cloud partnership signed with IBM in 2016, American airlines will migrate to the IBM Cloud a constituent 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 furthermore subsist 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 relish 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 gaunt construction.

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

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


C5050-380 IBM Cloud Platform Solution Architect v2

Study steer Prepared by Killexams.com IBM Dumps Experts


Killexams.com C5050-380 Dumps and actual Questions

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

Test Code : C5050-380
Test denomination : IBM Cloud Platform Solution Architect v2
Vendor denomination : IBM
: 63 actual Questions

Get C5050-380 certified with actual acquire a glare at question fiscal institution.
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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 liberty to create applications that are portable across clouds while providing replete control to expend 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 disdainful to support complete 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 terminal release) made by more than 250 contributors (35 fresh terminal 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 fresh 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 relish been able to deliver support for fresh 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 need to deliver a stately 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 relish multi-cloud application strategies and need rapid support for target locations as these emerge. I’m pleased to observe support Microsoft Azure Resource Manager and improvements for OpenStack (Mitaka) and IBM cloud targets."

    "We are very disdainful of their achievement and welcome contributions that wait on grow the Apache jclouds community, including joining their mailing lists and submitting feedback, expend 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 gain 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 accepted 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. complete 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 autochthonous 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 gain 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 accountable for setting up the virtual machines or hardware that will subsist 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. complete he can really observe is the quotas assigned to his organization, such as remembrance limits.
  • Kubernetes

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

    As you can observe from the left-hand side, there is a lot of data to process here. You relish access to persistent volumes, daemons, definition of roles, replication controllers etc. It’s difficult to focus on what are the developer’s needs and what are the IT needs. Some might declare you this is the same 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 complete aspects of the developer interaction. Following in the footsteps of simplicity that you might relish already noticed, the conception is to acquire 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 thrust myapp -p myapp.jar

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

    # start the pod running nginx$ kubectl dash --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 hold a single docker container, but you can dash more. For example, an application container might want to relish some monitoring dameon container in the same pod.

    In order to acquire 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 reform 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 convene 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 expend 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 subsist specific. Don’t await deployments to subsist implied. If I had to create a haiku for Kubernetes, it’ll subsist probably something dote this:

    Here’s my code

    I’ll declare you exactly how you should dash it on the cloud for me

    And don’t you dare acquire 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 district 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 finish some cf cli trickery to effect the update with zero downtime. The concept is called blue-green deployment. If I had to account for it in step-by-step guide, it’ll probably subsist something dote this:

  • Starting point: you relish myApp in production, and you want to deploy a fresh version of this app — v2.
  • Deploy v2 under a fresh application name, for example — myApp-v2
  • The fresh app will relish its own initial route — myApp-v2.mysite.com
  • Perform testing and verification on the fresh 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 effect A/B testing. For example — if you relish 4 instances of v1 and 1 instance of v2, 20% of your clients will subsist routed to the fresh 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 relish now fully migrated to the fresh 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 organize blue-green-deploy to subsist very smooth 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 fresh 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 effect a rolling update between complete pods of the kubernetes-bootcamp deployment from its current image to the fresh 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 acquire an external view of the levels of abstraction that are needed to achieve your application, they can picture 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 subsist 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 repose of the cluster. Eureka server maintains a heartbeat health check of complete registered clients to withhold an up-to-date list of well instances.

    Registered clients can connect to Eureka and interrogate for available endpoints based on a service id (the value of spring.application.name in case of Spring Boot applications). Eureka would recur a list of complete 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 dote 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 complete 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 dote 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 denomination 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 acquire 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 denomination is simply the denomination of the service that exposes the pods. For example:

  • You relish an application called my-app in namespace zone1
  • It exposes a gain /myApi repose 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 dote 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 involve 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 evolution or a highly-available database for a production environment.

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

    Kubernetes does relish 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 subsist reloaded with updated configuration by issuing a POST /refresh API convene 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 stately 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 dote a glove.

    In Kubernetes, you can still dash a config server as a container, but that would probably become an unneeded operational overhead since you already relish built-in support for ConfigMaps. expend the autochthonous solution for the platform you retract with.

    Storage Volumes

    A vast 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 gain a dependable storage solution, which lets you dash storage-based containers dote 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 acquire the same application that runs today in your on-prem data center, sail it to AWS, and provided there is adequate connectivity, it should just work. Any storage-based solution should subsist offloaded to either a PCF service, or to a storage solution outside the PCF cluster itself. This may subsist regarded as an edge or a handicap depending on your application and architecture. For stateless application runtimes such as web servers, it is always a estimable conception 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 relish (docker registry and a git repository are often taken for granted).

    Just taking a glare at the excellent Kubernetes Basics interactive tutorial shows the smooth 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 succeed the tutorial on a local minikube vm instead of the pre-configured online cluster is quite difficult.

    Cloud Foundry

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

    If we’ll acquire a glare at PCF’s “Getting Started with Pivotal Cloud Foundry”, it’s almost comical how dinky is required to gain something up and running. When you need more knotty interaction, it’s complete available for you, either in the cf cli, as Part of a manifest.yml, or in the web console, but this doesn’t obviate you from getting started quickly.

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

    Vision Kubernetes

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

    But with such a diverse and thriving eco-system, the path forward can subsist one of many different directions. It really does feel dote 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 sail to the next vast thing (Does anyone remember Google Buzz, Google Wave or Google Reader?). Any AngularJS developer who’s trying to sail to Angular 5 can declare you that backwards compatiblity is not a top priority.

    Cloud Foundry

    Cloud Foundry is furthermore a thriving open source platform, but it is pretty lucid 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 dote 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 reply those needs.

    If Kubernetes is Google, then PCF is Apple.

    A dinky more of a walled garden, more controlled, better design/experience layer, and a commitment for delivering a stately product. I feel dote the platform is more focused, and focus is captious in my line of work.

    PKS

    The actual surprise of the recently announced PCF 2.0 was that complete 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 furthermore a fresh serverless solution called Pivotal duty Service (PFS), and lastly — a fresh Kubernetes runtime called Pivotal Container Service (PKS). This means that Pivotal Cloud Foundry now gives you the best of both worlds: A stately application runtime for quick onboarding of cloud-native applications, as well as a stately 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 estimable reason — it has served me well. I approached Kubernetes with an open mind, and organize it to subsist a very versatile platform, but furthermore one that requires a steeper learning curve. Maybe I got spoiled by live 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 dash cloud autochthonous applications as quickly and simply as possible, while furthermore exposing the best generic container runtime when that is needed. I can observe 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 relish a PCF service available, so it has to dash externally on virtual machines. Now with PCF 2.0, I can dash 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 contented 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/

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

    Yu Shan, a Senior Technical Expert at Alibaba Cloud, shared his topic on "Agile Smart Connection: Blockchain industry 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 complete parties and written in the ledger, the ledger cannot subsist altered. The transaction history can subsist traced back. Transaction information and identities of trading parties are protected as private information. Transactions are automatically implemented through smart contracts.

    Blockchain can subsist 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 acquire 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 retract language. Chaincode can subsist developed using the retract language and will subsist developed using the Node.js language. Client SDKs currently support the Node.js and Java languages and will support both Python and retract 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. complete parties relish 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 duty 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 remembrance 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 duty components are in Kubernetes v1.8.1 and will subsist 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 industry innovation is faced with gargantuan challenges: abysmal understanding of underlying blockchain technologies are required; configuration and deployment are knotty and time-consuming; secondary evolution 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 achieve 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 industry development; diverse powerful basic resources and services provided by Alibaba Cloud, seamlessly integrating the blockchain technology and improving cost-effectiveness; a dependable 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, epistle 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 dash 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 design 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 subsist accessed in multiple ways, and an efficient closed loop of evolution 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 furthermore deploy multiple clusters to handle enterprise-level issues.



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