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C5050-380 IBM Cloud Platform Solution Architect v2

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

Test Code : C5050-380
Test name : IBM Cloud Platform Solution Architect v2
Vendor name : IBM
: 63 real Questions

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IBM IBM Cloud Platform Solution

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absolutely obtainable later this year on IBM Cloud and IBM Cloud inner most, AI OpenScale is an open platform that makes it possible for agencies to role and automate AI at scale, anywhere it resides -- with transparent, explainable outcomes.

The platform solution makes it easier for facts scientists, software developers, IT and AI operations groups, and enterprise system owners to collaborate in deploying, managing, monitoring and updating AI assets in creation. This empowers businesses to confidently combine laptop learning and abysmal studying capabilities into their applications, and scale seamlessly as the demand for AI grows.

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IBM announces Cloud-primarily based group Platform for Cyber protection applications | killexams.com real Questions and Pass4sure dumps

IBM security connect with enable Open standards-based mostly Collaboration on AI Platform Backed by using greater than a Dozen agencies

CAMBRIDGE, Mass., Oct. 15, 2018 /PRNewswire/ -- IBM (NYSE: IBM) today announced a original cloud-based community platform for cyber protection purposes. IBM protection connect is the first protection cloud platform constructed on open federated technologies, with AI at its core, to dissect protection records across previously unconnected tools and environments. 

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

greater

An IBM analysis of customers' environments discovered that on commonplace, cybersecurity teams are the usage of over 80 different protection products from forty distinctive providers. Their analysis likewise shows lower than 20 p.c of the facets in these on-premise apparatus are used and can now not provide the effects valued clientele call because of integration and complexity challenges.  

by means of integrating security statistics from IBM security items with an ecosystem of protection providers, valued clientele, and enterprise partners, IBM security connect is designed to assist ameliorate effectivity and collaboration as teams safeguard against cybercrime. IBM protection connect will permit users to apply computer learning and AI, together with Watson for Cyber security, for evaluation to aid them determine threats or hazards and enrich the efficacy and efficiency of possibility detection and response. users can design and set up original customized and finished options to address security consequences, corresponding to SOC Operations workflows or Digital believe. 

IBM security connect will lengthen the wealthy set of capabilities from IBM's safety items, via stalwart integration capabilities to connect facts, functions and tools from an ecosystem of providers, made feasible by the cloud.   

"The growth of cybersecurity know-how and statistics combined with a becoming knowledge shortage is growing an unexpected degree of complexity for protection groups," observed Marc van Zadelhoff, touchstone supervisor, IBM protection. "Leveraging the power of the cloud, they will now compile tools, records and americans with out expensive customization and integration initiatives. data federation through IBM protection connect helps give protection specialists increased security visibility and efficiency with out the endeavor of migrating data or overly advanced product integrations."

a new, Open strategy to Cloud protection

IBM safety connect will assist wield one of the greatest security challenges these days by means of open standards, that may advocate pave the style towards collaborative innovation. because it is built on open requisites, it will possibly aid agencies build pleasing microservices, enhance original safety functions, integrate current safety options, and leverage data from open shared capabilities. 

Key capabilities encompass: Open safety information integration functions for sharing and normalizing hazard intelligence, federated information searching across on-premise and cloud statistics repositories and safety options, and actual-time sharing of protection indicators/routine and insights that will likewise live leveraged by any app or retort built-in with the platform. 

IBM safety connect will develop into the home of IBM's latest security App alternate and raw IBM security functions built on a platform powered via IBM Cloud, but entirely suitable with other cloud suppliers.  IBM security will likewise champion the creation of recent open standards in burgeoning areas such as the sharing of response playbooks and analytics patterns and will actively save money into developing original open source tasks that align with these efforts.

Story Continues

IBM safety's dedication to openness likewise capacity that many current open security and protocol requisites are leveraged birthright through the platform, corresponding to STIX™ (Structured probability tips eXpression) and TAXII™ (trusted automatic alternate of Indicator suggestions). The IBM protection mission STIX-Shifter, which is publicly purchasable on GitHub, consists of an open supply library which permits software to connect with items that condominium information repositories the usage of STIX Patterning, and return consequences as STIX Observations.  the utilize of these open requisites for connecting to any facts source combined with IBM security's already potent safety analytics and incident response capabilities helps shoppers to benefit broader visibility and solemnize threats and risks that beget been in any other case overlooked as a result of disconnected data across advanced hybrid environments. 

IBM security connect's initial set of functions and functions will enable users to promptly connect to varied safety items or information repositories to automatically federate data for the flat of prioritizing and responding to threats. This revolutionary approach of federating information enables shoppers to Go away their records where it is, as antagonistic to building expensive records lakes, that could complicate or outright evade security information evaluation.

IBM protection connect will likewise live a vital piece of IBM safety capabilities choices both as a purchaser and a contributor of latest innovation; together with developments in voice-enabled AI, laptop getting to know for security probability scoring, global random analytics, orchestration playbooks and cellular-enabled MSS functions.  IBM security services will leverage the open verve of IBM protection connect with enhance abysmal and efficacious integrations throughout its associate ecosystem to bring more advantageous value for its global clients.

Addressing Complexity in Cybersecurity Operations

Designed to carry "group-driven" security thoughts, IBM safety connect will role as an open platform with an open construction neighborhood.  As piece of trendy announcement, a ample variety of technology partners and global device integrators including Cisco, Capgemini, Carbon Black, examine point, CrowdStrike, EY, ForeScout, Forcepoint, Fortinet, McAfee, Qualys, Smarttech, Symantec, Tenable, style Micro, and VMware beget dedicated to integrating with IBM safety connect in an endeavor to assist give enhanced facts sharing across security companies for their joint clients.  lots of these vendors will additionally invent a contribution to building integrated applications on IBM protection join.  IBM already has tons of of pre-developed apps developed with the aid of IBM and companions attainable by the utilize of the IBM safety App trade for integrating on the product degree. as soon as attainable, these additional integrations may live constructed into IBM protection connect inside months of launch, widening the attain of the platform to aid exploit compliance and wield threats.

for example, one of the first solutions being validated by means of consumers will focal point on hazard Operations Workflow. This retort is designed to empower protection analysts to proactively identify, investigate, and reply to their most significant threats from a single, cloud-based mostly answer. threat Operations Workflow integrates seamlessly through open connectors to QRadar (each on-premise or cloud), as well as different SIEMs and endpoint solutions. through leveraging open SDKs, different security facts ponds or lakes such as Hadoop, and aspect protection products can likewise live supported to deliver a federated view and workflow for security analysts across previously unintegrated and siloed products.    

in-built knowledge and expertise

With the smartly-documented edge problem the safety commerce is facing, IBM safety connect will likewise role digitized knowledge from IBM's 4,000+ international security practitioners to give ultimate practices and recommendation on the passage to implement safety and random management options. The pre-built-in apps permit clients to create convenient-to-use common workflows across distinctive functions, so groups can hub of attention on solving safety issues instead of struggling to combine dozens of security products. furthermore, IBM security has committed 50 builders towards construction of the neighborhood, the status safety practitioners can collaborate and partake integrations.

IBM safety connect is designed to invent getting access to IBM X-force safety capabilities competencies even less demanding for customers in any respect tiers; including offerings and knowledge in X-drive purple safety checking out, Managed protection capabilities and Incident Response services.

IBM protection connect is predicted to live attainable in 1Q 2019.

About IBM safety 

IBM security offers one of the crucial advanced and integrated portfolios of commerce security products and services. The portfolio, supported by world-sought after IBM X-drive® research, makes it possible for groups to effortlessly exploit possibility and ogle after against rising threats. IBM operates one of the most world's broadest protection analysis, development and nascence companies, displays 60 billion security routine per day in more than 130 nations, and has been granted more than 8,000 safety patents worldwide. For greater tips, please examine www.ibm.com/protection, comply with IBMSecurity on Twitter or dispute with the IBM security Intelligence weblog. 

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

View original content material to download multimedia:http://www.prnewswire.com/news-releases/ibm-pronounces-cloud-based mostly-neighborhood-platform-for-cyber-security-applications-300730681.html


C5050-380 IBM Cloud Platform Solution Architect v2

Study lead Prepared by Killexams.com IBM Dumps Experts


Killexams.com C5050-380 Dumps and real Questions

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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
: 63 real Questions

Just utilize these real question bank and success is yours.
I soundless bethink the tough time I had while learning for the C5050-380 exam. I used to quest assistance from friends, but I felt most of the material was vague and overwhelmed. Later, I organize killexams.com and its material. Through the valuable material I scholarly everything from top to bottom of the provided material. It was so precise. In the given questions, I answered raw questions with impeccable option. Thanks for brining raw the countless happiness in my career.


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When my C5050-380 exam was birthright ahead of me, I had no time left and I was freaking out. I was cursing myself for wasting so much time earlier on useless material but I had to carry out something and therefore I could only deem of one thing that could save me. Google told that, the thing was killexams.com. I knew that it had everything that a candidate would require for C5050-380 exam of IBM and that helped me in achieving friendly scores in the C5050-380 exam.


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Have passed C5050-380 exam with killexams.com questions answers. killexams.com is 100% reliable, most of the questions were the very as what I got on the exam. I missed a few questions just because I went blank and didnt bethink the retort given in the set, but since I got the repose right, I passed with friendly scores. So my recommendation is to learn everything you score in your preparation pack from killexams.com, this is raw you need to pass C5050-380.


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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 commerce 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 partake data with regulators over blockchain networks. Each party has a ledger. Once a transaction is confirmed and agreed upon by raw parties and written in the ledger, the ledger cannot live altered. The transaction history can live traced back. Transaction information and identities of trading parties are protected as private information. Transactions are automatically implemented through smart contracts.

Blockchain can live 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 faith problem and invent 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 live developed using the Go language and will live developed using the Node.js language. Client SDKs currently advocate the Node.js and Java languages and will advocate 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. raw parties esteem equal service and collect transaction information. Trading parties partake 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 role 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 role components are in Kubernetes v1.8.1 and will live 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 commerce innovation is faced with mammoth challenges: abysmal understanding of underlying blockchain technologies are required; configuration and deployment are tangled 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 trait of them; the deployment platform and environment are not secure enough without enterprise-level security control and risk prevention capabilities; the service trait 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 commerce development; diverse powerful basic resources and services provided by Alibaba Cloud, seamlessly integrating the blockchain technology and improving cost-effectiveness; a amenable 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 flee 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 motif 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 live 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 likewise deploy multiple clusters to wield enterprise-level issues.


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 endemic 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 score this template automatically from a buildpack.

Management Console Cloud Foundry

PCF separates the web dashboard to two sever target audiences.

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

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

    As you can note from the left-hand side, there is a lot of data to process here. You beget 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 restate you this is the very person in a Devops culture, and that’s a unbiased point. Still, in reality-it is a more confusing paradigm compared to a simple application manager.

    Command Line Interface Cloud Foundry

    Cloud foundry uses a command line interface called cf. It is a cli that lets you control raw aspects of the developer interaction. Following in the footsteps of simplicity that you might beget already noticed, the thought 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 propel myapp -p myapp.jar

    That’s it! That’s raw you need. PCF will lookup the current working directory and find the jar executable. It will then download the java buildpack, create a container, motif 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 propel myapp -p myapp.jar Updating app myapp in org OdedShopen / space production as user… OK Uploading myapp… Uploading app files from: /var/folders/_9/wrmt9t3915lczl7rf5spppl597l2l9/T/unzipped-app271943002 Uploading 977.4K, 148 files Done uploading OK Starting app myapp in org OdedShopen / space production as user…Downloading pcc_php_buildpack…Downloading binary_buildpack…Downloading python_buildpack…Downloading staticfile_buildpack…Downloading java_buildpack…Downloaded binary_buildpack (61.6K)Downloading ruby_buildpack…Downloaded ruby_buildpackDownloading nodejs_buildpack…Downloaded pcc_php_buildpack (951.7K)Downloading go_buildpack…Downloaded staticfile_buildpack (7.7M)Downloading ibm-websphere-liberty-buildpack…Downloaded nodejs_buildpack (111.6M)Downloaded ibm-websphere-liberty-buildpack (178.4M)Downloaded java_buildpack (224.8M)Downloading php_buildpack…Downloading dotnet_core_buildpack…Downloaded python_buildpack (341.6M)Downloaded go_buildpack (415.1M)Downloaded php_buildpack (341.7M)Downloaded dotnet_core_buildpack (919.8M)Creating containerSuccessfully created containerDownloading app package…Downloaded app package (40.7M)Staging…— — -> Java Buildpack Version: v3.18 |https://github.com/cloudfoundry/java-buildpack.git#841ecb2— — -> Downloading Open Jdk JRE 1.8.0_131 from https://java-buildpack.cloudfoundry.org/openjdk/trusty/x86_64/openjdk-1.8.0_131.tar.gz (found in cache)Expanding Open Jdk JRE to .java-buildpack/open_jdk_jre (1.1s)— — -> Downloading Open JDK fancy 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 beget 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. raw of this can live done in the cf cli or by having a manifest.yml file available as a parameter to the cf propel command. A typical manifest.yml file can live 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 custody how.

    Kubernetes

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

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

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

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

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

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

    In order to invent 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 soundless not exposed to the outside world. For that, you need to wrap your service with an ingress.

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

    apiVersion: apps/v1 # for versions before 1.9.0 utilize 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 live specific. Don’t await deployments to live implied. If I had to create a haiku for Kubernetes, it’ll live probably something fancy this:

    Here’s my code

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

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

    Zero Downtime Deployments

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

    Cloud Foundry

    With Pivotal Cloud Foundry, there’s no built-in mechanism to advocate a rolling update, you’re basically expected to carry out some cf cli trickery to achieve the update with zero downtime. The concept is called blue-green deployment. If I had to expound it in step-by-step guide, it’ll probably live something fancy this:

  • Starting point: you beget myApp in production, and you want to deploy a original version of this app — v2.
  • Deploy v2 under a original application name, for example — myApp-v2
  • The original app will beget its own initial route — myApp-v2.mysite.com
  • Perform testing and verification on the original app.
  • Map an additional route to the myApp-v2 application, using the very route as the original application. For example:
  • cf map-route myApp-v2 mysite.com —hostname myApp
  • Now requests to your application are load balanced between v1 and v2. Based of the number of instances available to each version, you can achieve A/B testing. For example — if you beget 4 instances of v1 and 1 instance of v2, 20% of your clients will live routed to the original 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 beget now fully migrated to the original codebase with zero downtime, including sanity testing aspect and potentially A/B testing phase.
  • Note: The cf cli supports plugin extensions. Some of them provide automated blue-green deployments, such as blue-green-deploy, autopilot and zdd. I personally organize blue-green-deploy to live very facile and intuitive, especially due to its advocate for automated smoke tests as piece of the deployment.

    Kubernetes

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

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

    The command above tells kubernetes to achieve a rolling update between raw pods of the kubernetes-bootcamp deployment from its current image to the original 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 reach your application, they can report 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 positive domains to only live 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 raw registered clients to sustain an up-to-date list of hardy instances.

    Registered clients can connect to Eureka and await 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 raw 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 fancy 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 raw 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 fancy a glove.

    Kubernetes

    Kubernetes uses DNS resolution to identify other services within the cluster. Inside the very namespace, you can lookup another service by its name. In another namespace, you can lookup the service’s 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 invent 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 beget an application called my-app in namespace zone1
  • It exposes a score /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 passage to bind your application to a service. The term service in PCF is not the very as a service in kubernetes. A PCF service binds your application to things fancy 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 petite database for development or a highly-available database for a production environment.

    Last but not least, you beget 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 soundless in beta.

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

    Kubernetes does beget 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 live reloaded with updated configuration by issuing a POST /refresh API convoke to your application. The property files that are available as configuration sources are loaded based on a pre-defined loading order, which provides some sort of an inheritance-based mechanism to how the configuration is loaded. It’s a magnificient 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 fancy a glove.

    In Kubernetes, you can soundless flee a config server as a container, but that would probably become an unneeded operational overhead since you already beget built-in advocate for ConfigMaps. utilize the endemic solution for the platform you Go with.

    Storage Volumes

    A ample differentiator of Kubernetes is the capacity to attach a storage volume to your container. Kubernetes uses etcd as a means to manage storage volumes, and you can attach such a volume to any of your containers. This means you score a amenable storage solution, which lets you flee storage-based containers fancy 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 very application that runs today in your on-prem data center, dart it to AWS, and provided there is adequate connectivity, it should just work. Any storage-based solution should live offloaded to either a PCF service, or to a storage solution outside the PCF cluster itself. This may live regarded as an edge or a drawback depending on your application and architecture. For stateless application runtimes such as web servers, it is always a friendly thought to decouple it from any internal storage facility.

    Onboarding Kubernetes

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

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

    Cloud Foundry

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

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

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

    Vision Kubernetes

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

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

    Cloud Foundry

    Cloud Foundry is likewise a thriving open source platform, but it is pretty limpid who sets the tone here. It is Pivotal, with additional contributions from IBM. Yes, it’s open source, but the enterprise play here is Pivotal Cloud Foundry, which provides added value fancy 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 retort those needs.

    If Kubernetes is Google, then PCF is Apple.

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

    PKS

    The real flabbergast of the recently announced PCF 2.0 was that raw I’ve been talking about throughout this article is now just one piece 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 likewise a original serverless solution called Pivotal role Service (PFS), and lastly — a original Kubernetes runtime called Pivotal Container Service (PKS). This means that Pivotal Cloud Foundry now gives you the best of both worlds: A magnificient application runtime for snappy onboarding of cloud-native applications, as well as a magnificient container runtime when you need to develop generic low-level containers.

    Conclusion

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

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

    Thank you for reading, and joyful 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


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