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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 title : IBM Cloud Platform Solution Architect v2
Vendor title : IBM
: 63 actual Questions

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IBM announces Cloud-primarily based group Platform for Cyber protection applications | killexams.com actual 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 recent cloud-based community platform for cyber protection purposes. IBM protection combine is the first protection cloud platform constructed on open federated technologies, with AI at its core, to anatomize protection records across previously unconnected tools and environments. 

IBM enterprise emblem. (PRNewsFoto/IBM business 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 too shows lower than 20 p.c of the facets in these on-premise materiel are used and can now not provide the effects valued clientele forecast 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 combine is designed to profit improve effectivity and collaboration as teams safeguard against cybercrime. IBM protection combine 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 recent customized and finished options to address security consequences, corresponding to SOC Operations workflows or Digital believe. 

IBM security combine will lengthen the wealthy set of capabilities from IBM's safety items, via stout 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, common 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 combine helps give protection specialists increased security visibility and efficiency with out the pains of migrating data or overly advanced product integrations."

a new, Open strategy to Cloud protection

IBM safety connect will profit handle one of the greatest security challenges these days by means of open standards, that may back pave the style towards collaborative innovation. because it is built on open requisites, it will possibly aid agencies build pleasing microservices, enhance recent 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 too be leveraged by any app or admit built-in with the platform. 

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

Story Continues

IBM safety's dedication to openness too capacity that many current open security and protocol requisites are leveraged perquisite 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 consume 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 profit broader visibility and keep threats and risks that occupy 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 point of prioritizing and responding to threats. This revolutionary approach of federating information enables shoppers to travel 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 too be a vital fraction 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 desultory analytics, orchestration playbooks and cellular-enabled MSS functions.  IBM security services will leverage the open vim 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 combine will role as an open platform with an open construction neighborhood.  As fraction of trendy announcement, a vast 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 occupy dedicated to integrating with IBM safety connect in an endeavor to profit give enhanced facts sharing across security companies for their joint clients.  lots of these vendors will additionally manufacture 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 consume of the IBM safety App trade for integrating on the product degree. as soon as attainable, these additional integrations may be constructed into IBM protection connect inside months of launch, widening the attain of the platform to aid exploit compliance and handle threats.

for example, one of the first solutions being validated by means of consumers will focal point on hazard Operations Workflow. This admit is designed to empower protection analysts to proactively identify, investigate, and reply to their most well-known 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 too be 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 odds problem the safety business is facing, IBM safety connect will too role digitized knowledge from IBM's 4,000+ international security practitioners to give ultimate practices and advice on the passage to implement safety and desultory management options. The pre-built-in apps permit clients to create convenient-to-use common workflows across distinctive functions, so groups can center 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 site safety practitioners can collaborate and share integrations.

IBM safety combine is designed to manufacture 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 combine is predicted to be attainable in 1Q 2019.

About IBM safety 

IBM security offers one of the crucial advanced and integrated portfolios of business 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, evolution and beginning 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

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

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

Just consume these actual question bank and success is yours.
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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 business Innovation Based on Container Technology" at the 2017 Computing Conference at the C Beijing Summit. He introduced the technical advantages of Alibaba Cloud blockchain in terms of Alibaba Cloud Container Service and blockchain project solutions.

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

Basic Concepts of Blockchain

1

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

Blockchain can be classified into a public chain, private chain, and alliance chain. Key technologies involve consensus algorithm, cryptology, and distributed architecture. The blockchain technology can unravel the trust problem and manufacture 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 travel language. Chaincode can be developed using the travel language and will be developed using the Node.js language. Client SDKs currently back the Node.js and Java languages and will back both Python and travel 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. totality parties bask in 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 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 reminiscence 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 be upgraded to v1.8.4. Alibaba Cloud Kubernetes management service uses Helm/Docker Compose for application orchestration and expansion and uses log and overhead gated release for container application O and M. Service catalogs are displayed as application catalogs. Multi-cluster management, cluster lifecycle management (upgrade and scale-up/down), hybrid cloud management (federation of local and cloud clusters supported), security compliance (RAM, Action Trail, and KMS), and container security (during image service and running) technologies are applied and implemented.

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

Blockchain Solution

Blockchain business innovation is faced with stupendous challenges: abysmal understanding of underlying blockchain technologies are required; configuration and deployment are intricate and time-consuming; secondary evolution is difficult with a precipitous 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 character of them; the deployment platform and environment are not secure enough without enterprise-level security control and risk prevention capabilities; the service character cannot reach the production level, and the O and M process and methods are immature and inconsistent.

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

The Blockchain Solution of Alibaba Cloud Container Service is applied in the following scenarios: asset securitization, note 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 device shows the overall architecture of the solution for the container without blockchain. With Alibaba Cloud's technology and server, the system can process data in batches at an enterprise level.

5

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

6

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

7

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

8

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


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 indigenous 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 win this template automatically from a buildpack.

Management Console Cloud Foundry

PCF separates the web dashboard to two divide target audiences.

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

    Kubernetes takes a different approach. You win 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 occupy access to persistent volumes, daemons, definition of roles, replication controllers etc. It’s arduous to focus on what are the developer’s needs and what are the IT needs. Some might command 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 totality aspects of the developer interaction. Following in the footsteps of simplicity that you might occupy already noticed, the conception is to hold an opinionated view to practically everything.

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

    cf push myapp -p myapp.jar

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

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

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

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

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

    Here’s my code

    Run it on the cloud for me.

    I don’t trust how.

    Kubernetes

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

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

    Now that the registry contains your image, you can initiate commands to kubectl to deploy the image. Kubernetes documentaiotn gives the illustration 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 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 accommodate a unique docker container, but you can dash more. For example, an application container might want to occupy some monitoring dameon container in the very pod.

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

    Note: Ingress is quiet considered a beta feature!

    I could not find a simple command to expose an ingress at this point (please revise 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 unique 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 consume apps/v1beta2kind: Deploymentmetadata:name: nginx-deploymentlabels:app: nginxspec:replicas: 3selector:matchLabels:app: nginxtemplate:metadata:labels:app: nginxspec:containers:- name: nginximage: nginx:1.7.9ports:- containerPort: 80

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

    Here’s my code

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

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

    Zero Downtime Deployments

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

    Cloud Foundry

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

  • Starting point: you occupy myApp in production, and you want to deploy a recent version of this app — v2.
  • Deploy v2 under a recent application name, for example — myApp-v2
  • The recent app will occupy its own initial route — myApp-v2.mysite.com
  • Perform testing and verification on the recent 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 fulfill A/B testing. For example — if you occupy 4 instances of v1 and 1 instance of v2, 20% of your clients will be routed to the recent 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 occupy now fully migrated to the recent 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 be very simple and intuitive, especially due to its back for automated smoke tests as fraction of the deployment.

    Kubernetes

    kubectl has a built-in back for rolling updates. You basically pass a recent 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 fulfill a rolling update between totality pods of the kubernetes-bootcamp deployment from its current image to the recent 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 hold an external view of the levels of abstraction that are needed to reach your application, they can characterize 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 confident domains to only be accessible from within PCF, thereby making them internal.
  • Client side load balancing by using Spring Cloud Services. This set of services offers features from the Spring Cloud frameworks that are based on Netflix OSS. For service discovery, Spring Cloud Services uses Netflix Eureka.
  • Eureka runs as its own service in the PCF environment. Other applications register themselves with Eureka, thereby publishing themselves to the rest of the cluster. Eureka server maintains a heartbeat health check of totality registered clients to sustain an up-to-date list of wholesome 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 return a list of totality available endpoints, and that’s it. It is up to the client to actually access one of these endpoints. That is usually done using frameworks enjoy Ribbon or Feign for client-side load balancing, but that is an implementation detail of the application, and not related to PCF itself.

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

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

    Kubernetes

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

    The major profit that Kubernetes’ load balancing offers is not requiring any special client libraries. Eureka is mostly targeted at java-based applications (although solutions exist for other languages). With Kubernetes, you can manufacture 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 title is simply the title of the service that exposes the pods. For example:

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

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

    Marketplace

    PCF offers a services marketplace. It provides a ridiculously simple 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 enjoy a database, a monitoring tool, a message broker etc. Some services that are available out of the box are:

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

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

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

    Last but not least, you occupy 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 present a marketplace out of the box. There is a service catalog extension that allows for a similar service catalog, however it is quiet in beta.

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

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

    Configuration

    Speaking of configuration — One of the features of the Spring Cloud Services service is Spring Cloud Config. It is another service that is targeted specifically for Spring Boot applications. The config service serves configuration artifacts from a git repository of your choosing, and allows for zero-downtime configuration changes. If your Spring beans are annotated with @RefreshScope, they can be reloaded with updated configuration by issuing a POST /refresh API 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 considerable solution, but again assumes that your applications are based on the Spring Boot stack. If you’re already using spring boot with a config server today — PCF fits enjoy a glove.

    In Kubernetes, you can quiet dash a config server as a container, but that would probably become an unneeded operational overhead since you already occupy built-in back for ConfigMaps. consume the indigenous solution for the platform you travel with.

    Storage Volumes

    A vast differentiator of Kubernetes is the competence 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 win a reliable storage solution, which lets you dash storage-based containers enjoy a database or a file server.

    In PCF, your application is fully stateless. PCF follows the 12-factor apps model and one of these models assumes that your application has no state. You should theoretically hold the very application that runs today in your on-prem data center, wobble it to AWS, and provided there is adequate connectivity, it should just work. Any storage-based solution should be offloaded to either a PCF service, or to a storage solution outside the PCF cluster itself. This may be regarded as an odds or a detriment depending on your application and architecture. For stateless application runtimes such as web servers, it is always a salubrious 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 occupy (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 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 occupy some jenkins pipeline in place. They just want to dash the very thing in a cloud environment.

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

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

    Vision Kubernetes

    Kubernetes is truly a considerable open source platform. Kudos to Google for giving up control and letting the community enact its thing. That’s probably the number one understanding why Kubernetes has taken off so quickly while other solutions enjoy Docker swarm are falling behind. Other vendors too present solutions that present 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 be one of many different directions. It really does feel enjoy a Google product in a way — maybe it will remain supported by Google for years, maybe it will change with barely any backwards compatibility, or maybe they’ll exterminate it and wobble to the next vast thing (Does anyone recall Google Buzz, Google Wave or Google Reader?). Any AngularJS developer who’s trying to wobble to Angular 5 can command you that backwards compatiblity is not a top priority.

    Cloud Foundry

    Cloud Foundry is too 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 enjoy the services marketplace, Ops Manager etc. And on that side, it’s a limited democracy. This is a product that is meant to serve enterprise customers, and the feature set would first and foremost admit those needs.

    If Kubernetes is Google, then PCF is Apple.

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

    PKS

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

    Conclusion

    In this article I tried to share my personal experiences of working with both platforms. Although I am a bit biased towards PCF, it is for a salubrious reason — it has served me well. I approached Kubernetes with an open mind, and organize it to be a very multifarious platform, but too one that requires a steeper learning curve. Maybe I got spoiled by alive in the Spring eco-system for too long :). With the latest announcement of PKS, it appears that Pivotal Cloud Foundry is set to present the best integrated PaaS — one that lets you dash cloud indigenous applications as quickly and simply as possible, while too 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 quiet doesn’t occupy 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 very 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/

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


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