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C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

Test Code : C2090-610
Test cognomen : DB2 10.1 Fundamentals
Vendor cognomen : IBM
: 138 true Questions

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IBM IBM DB2 10.1 Fundamentals

A ebook to the IBM DB2 9 Fundamentals certification exam | killexams.com true Questions and Pass4sure dumps

here excerpt from DB2 9 Fundamentals: Certification examine e-book, written via Roger E. Sanders, is reprinted with authorization from MC Press. read the complete Chapter 1, A bespeak to the IBM DB2 9 certification examination if you assume taking a DB2 9 Fundamentals certification exam may exist your next profession move.

The IBM DB2 9 certification technique

a nigh examination of the IBM certification roles attainable right now displays that, to exist able to harvest a selected DB2 9 certification, you must remove and trek one or greater tests that gain been designed specially for that certification position. (each exam is a software-based examination it truly is neither platform -- nor product-selected.) therefore, once you gain chosen the certification position you are looking to pursue and familiarized your self with the necessities for that selected role, the subsequent step is to save together for and remove the acceptable certification checks.

getting ready for the IBM DB2 9 certification assessments

if you gain event using DB2 9 within the context of the certification role you gain got chosen, you can furthermore already possess the expertise and potential vital to pass the examination(s) required for that function. despite the fact, in case your adventure with DB2 9 is restricted (and besides the fact that it is not), that you would exist able to prepare for any of the certification tests available by taking odds of the following supplies:

  • Formal schooling
  • IBM learning functions presents lessons which are designed to support you save together for DB2 9 certification. a listing of the courses that are recommended for each and every certification exam can furthermore exist discovered using the Certification Navigator device offered on IBM's "expert Certification software from IBM " net web page. informed courses can furthermore exist found at IBM's "DB2 facts administration" web site. For more suggestions on path schedules, locations, and pricing, contact IBM gaining erudition of capabilities or consult with their internet web site.

  • on-line tutorials
  • IBM presents a collection of seven interactive online tutorials designed to prepare you for the DB2 9 Fundamentals exam (exam 730). IBM additionally presents a series of interactive on-line tutorials designed to prepare you for the DB2 9 for Linux, UNIX, and home windows Database Administration exam (exam 731) and the DB2 9 family unit application construction exam (examination 733).

  • Publications
  • all the counsel you necessity to current any of the obtainable certification tests can exist present in the documentation that is supplied with DB2 9. an entire set of manuals comes with the product and are available through the counsel focus upon getting installed the DB2 9 utility. DB2 9 documentation can furthermore exist downloaded from IBM's web site in each HTML and PDF codecs. @39202

    Self-examine books (such as this one) that focal point on one or more DB2 9 certification tests/roles are additionally attainable. almost everything these books can exist discovered at your aboriginal bespeak status or ordered from many on-line booklet dealers. (a catalogue of practicable reference substances for each and every certification examination can furthermore exist discovered using the Certification Navigator tool provided on IBM's "expert Certification software from IBM" net site.)

    apart from the DB2 9 product documentation, IBM regularly produces manuals, known as "RedBooks," that cowl advanced DB2 9 themes (in addition to different subject matters). These manuals can exist found as downloadable PDF information on IBM's RedBook net website. Or, in case you pick to gain a sure difficult replica, that you can gain one for a modest saturate by following the acceptable links on the RedBook internet site. (There is no cost for the downloadable PDF information.)

  • exam goals
  • objectives that supply an overview of the primary topics which are covered on a selected certification exam will furthermore exist discovered the usage of the Certification Navigator device provided on IBM's "expert Certification software from IBM" web website. exam pursuits for the DB2 9 family unit Fundamentals exam (examination 730) can even exist present in Appendix A of this e-book.

  • sample questions/assessments
  • pattern questions and pattern checks assist you to become usual with the layout and wording used on the specific certification tests. they can aid you determine whether you possess the erudition mandatory to circulate a selected exam. pattern questions, together with descriptive answers, are offered at the recess of every chapter during this bespeak and in Appendix B. pattern checks for each and every DB2 9 certification position obtainable can exist discovered the consume of the Certification examination device offered on IBM's "expert Certification program from IBM" net web page. there's a $10 can saturate for each and every exam taken.

    it is valuable to word that the certification tests are designed to exist rigorous. Very particular solutions are expected for many exam questions. as a result of this, and since the range of material covered on a certification exam is continually broader than the erudition basis of many DB2 9 specialists, exist sure you remove expertise of the examination training elements attainable if you want to guarantee your success in obtaining the certification(s) you want.

  • The ease of this chapter details everything obtainable DB2 9 certifications and contains lists of suggested gadgets to grasp earlier than taking the examination. It additionally describes the format of the tests and what to await on exam day. study the finished Chapter 1: A e-book to the IBM DB2 9 certification exam to exist taught more.


    IBM: earnings Play With Very foul complete recur | killexams.com true Questions and Pass4sure dumps

    No outcomes found, try original key phrase!Fundamentals of IBM should exist reviewed in the following themes beneath ... currently, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. or not it's an excellent enterprise, but you gain to exist di...

    Mainframe statistics Is Your covert Sauce: A Recipe for statistics coverage | killexams.com true Questions and Pass4sure dumps

    Mainframe facts Is Your covert Sauce: A Recipe for records coverage July 31, 2017  |  by means of Kathryn Zeidenstein A chef drizzling sauce on a plate of food.

    Bigstock

    Share Mainframe records Is Your covert Sauce: A Recipe for facts insurance scheme on Twitter Share Mainframe information Is Your covert Sauce: A Recipe for records insurance scheme on fb Share Mainframe information Is Your covert Sauce: A Recipe for information insurance policy on LinkedIn

    We within the protection realm want to consume metaphors to support illustrate the value of facts in the enterprise. I’m a big fan of cooking, so I’ll consume the metaphor of a covert sauce. suppose about it: each and every transaction in fact reflects your corporation’s pleasing relationship with a consumer, traffic enterprise or partner. by way of sheer volume alone, mainframe transactions give a tremendous variety of components that your company makes consume of to create its covert sauce — bettering customer relationships, tuning give chain operations, starting original traces of company and greater.

    extraordinarily valuable data flows via and into mainframe statistics retailers. definitely, ninety two of the excellent one hundred banks depend on the mainframe on account of its velocity, scale and safety. moreover, greater than 29 billion ATM transactions are processed per 12 months, and 87 % of everything credit card transactions are processed in the course of the mainframe.

    Safeguarding Your covert Sauce

    the excitement has been efficient for the synchronous IBM z14 announcement, which comprises pervasive encryption, tamper-responding key management and even encrypted software program interfaces (APIs). The speed and scale of the pervasive encryption solution is breathtaking.

    Encryption is a simple know-how to give protection to your covert sauce, and the brand original effortless-to-use crypto capabilities in the z14 will create encryption a no-brainer.

    With everything of the exhilaration round pervasive encryption, though, it’s essential no longer to fail to spot an extra factor that’s crucial for data security: information exercise monitoring. imagine everything of the functions, capabilities and directors as cooks in a kitchen. How can you ensure that people are accurately following the recipe? How conclude you create sure that they aren’t jogging off with your covert sauce and creating competitive recipes or selling it on the black market?

    Watch the on-demand webinar: Is Your sensitive facts protected?

    facts coverage and endeavor Monitoring

    facts undertaking monitoring provides insights into access behavior — that is, the who, what, the status and when of access for DB2, the information administration gadget (IMS) and the file gadget. for example, by using records exercise monitoring, you would exist able to inform whether the top chef (i.e., the database or paraphernalia administrator) is working from a unique zone or working irregular hours.

    in addition, records undertaking monitoring raises the visibility of peculiar mistake circumstances. If an software starts throwing a few unusual database blunders, it could exist an illustration that an SQL injection assault is underway. Or probably the utility is just poorly written or maintained — most likely tables gain been dropped or software privileges gain changed. This visibility can assist businesses in the reduction of database overhead and risk by means of bringing these considerations to light.

    Then there’s compliance, each person’s favorite theme. You necessity to exist able to attest to auditors that compliance mandates are being adopted, whether that includes monitoring privileged clients, now not permitting unauthorized database alterations or tracking everything access to fee card traffic (PCI) facts. With the eu’s prevalent information insurance policy regulation (GDPR) set to remove upshot in might furthermore 2018, the stakes are even higher.

    Automating believe, Compliance and protection

    As fragment of a comprehensive information insurance policy fashion for the mainframe, IBM protection Guardium for z/OS offers distinctive, granular, real-time pastime monitoring capabilities as well as true-time alerting, out-of-the-container compliance reporting and much more. The most up-to-date liberate, 10.1.3, offers records insurance scheme advancements in addition to efficiency improvements to support retain your costs and overhead down.

    Your mainframe information is precious — it's your covert sauce. As such, it will exist kept below lock and key, and monitored perpetually.

    To exist trained more about monitoring and preserving statistics in mainframe environments, watch their on-demand webinar, “Your Mainframe atmosphere Is a Treasure Trove: Is Your choice records blanketed?”

    Tags: Compliance | facts insurance plan | Encryption | Mainframe | Mainframe security | price Card traffic (PCI) Kathryn Zeidenstein

    technology Evangelist and community suggest, IBM security Guardium

    Kathryn Zeidenstein is a know-how evangelist and group recommend for IBM protection Guardium information coverage... 13 Posts What’s new
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    C2090-610 DB2 10.1 Fundamentals

    Study sheperd Prepared by Killexams.com IBM Dumps Experts


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    C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

    Test Code : C2090-610
    Test cognomen : DB2 10.1 Fundamentals
    Vendor cognomen : IBM
    : 138 true Questions

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    Very effortless to fetch certified in C2090-610 exam with this study guide.
    I wanted to drop you a line to thank you for your study materials. This is the first time I gain used your cram. I just took the C2090-610 today and passed with an 80 percent score. I gain to admit that I was skeptical at first but me passing my certification exam definitely proves it. Thanks a lot! Thomas from Calgary, Canada


    I want true exam questions modern C2090-610 examination.
    Clearing C2090-610 tests was for everything intents and purpose unrealistic for the capitalize of me. The test points were truly vehement for me to know. However they illuminated my drawback. I illuminated the 90 inquiries out of 100 Questions effectively. By basically relating the study sheperd in brain dump, I used to exist prepared to espy the themes well. furthermore the mighty exam simulator like killexams.com C2090-610 With achievement cleared this test. I present gratitude killexams.com for serving the incredible administrations. Much appreciated.


    Nice to hear that actual test questions of C2090-610 exam are available.
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    Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com true questions and Pass4sure dumps

    BEVERLY, MA--(Marketwired - Oct 29, 2013) - Altova® (http://www.altova.com), creator of XMLSpy®, the industry leading XML editor, today announced the release of Version 2014 of its MissionKit® desktop developer tools and server software products. MissionKit 2014 products now involve integration with the lightning lickety-split validation and processing capabilities of RaptorXML®, support for Schema 1.1, XPath/XSLT/XQuery 3.0, support for original databases and much more. original features in Altova server products involve caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

    "We are so excited to exist able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust support for the very latest standards, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, provides their customers the benefits of increased performance alongside cutting-edge technology support," said Alexander Falk, President and CEO for Altova. "This, coupled with the competence to automate essential processes via their high-performance server products, gives their customers a discrete odds when structure and deploying applications."

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    All aspects of XML Schema 1.1 are supported in XMLSpy's graphical XML Schema editor and are available in entry helpers and tabs. As always, the graphical editing paradigm of the schema editor makes it effortless to understand and implement these original features.

    Support for XML Schema 1.1 is furthermore provided in SchemaAgent 2014, allowing users to visualize and manage schema relationships via its graphical interface. This is furthermore an odds when connecting to SchemaAgent in XMLSpy.

    Coinciding with XML Schema 1.1 support, Altova has furthermore released a free, online XML Schema 1.1 technology training course, which covers the fundamentals of the XML Schema language as well as the changes introduced in XML Schema 1.1.

    Support for XPath 3.0, XSLT 3.0, and XQuery 3.0:

    Support for XPath in XMLSpy 2014 has been updated to involve the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful original functionality such as: dynamic function cells, inline function expressions, and support for union types to cognomen just a few. Full support for original functions and operators added in XPath 3.0 is available through quick-witted XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

    Support for editing, debugging, and profiling XSLT is now available for XSLT 3.0 as well as previous versions. gladden note that a subset of XSLT 3.0 is supported since the standard is still a working draft that continues to evolve. XSLT 3.0 support conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, support in XMLSpy now gives developers the competence to start working with this original version immediately.

    XSLT 3.0 takes odds of the original features added in XPath 3.0. In addition, a major feature enabled by the original version is the original xsl:try / xsl:catch construct, which can exist used to trap and recover from dynamic errors. Other enhancements in XSLT 3.0 involve support for higher order functions and partial functions.

    Story Continues

    As with XSLT and XPath, XMLSpy support for XQuery now furthermore includes a subset of version 3.0. Developers will now gain the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other quick-witted editing features.

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the original functions and operators added in XPath 3.0, such as a original string concatenation operator, map operator, math functions, sequence processing, and more -- everything of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

    New Database Support:

    Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now involve complete support for newer versions of previously supported databases, as well as support for original database vendors:

  • Informix® 11.70
  • PostgreSQL versions 9.0.10/9.1.6/9.2.1
  • MySQL® 5.5.28
  • IBM DB2® versions 9.5/9.7/10.1
  • Microsoft® SQL Server® 2012
  • Sybase® ASE (Adaptive Server Enterprise) 15/15.7
  • Microsoft Access™ 2010/2013
  • New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's original line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential traffic processes, while MapForce Server and StyleVision Server present high-speed automation for projects designed using intimate Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires involved database queries or needs to create its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to avert these delays. The cached data can then exist provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would exist a amenable application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of original features, supported standards, and trial downloads gladden visit: http://www.altova.com/whatsnew.html

    About Altova Altova® is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy® and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution development tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software development teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is arrogant to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

    Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, Authentic, and MetaTeam are trademarks and/or registered trademarks of Altova GmbH in the United States and/or other countries. The names of and reference to other companies and products mentioned herein may exist the trademarks of their respective owners.


    Unleashing MongoDB With Your OpenShift Applications | killexams.com true questions and Pass4sure dumps

    Current development cycles puss many challenges such as an evolving landscape of application architecture (Monolithic to Microservices), the necessity to frequently deploy features, and original IaaS and PaaS environments. This causes many issues throughout the organization, from the development teams everything the way to operations and management.

    In this blog post, they will attest you how you can set up a local system that will support MongoDB, MongoDB Ops Manager, and OpenShift. They will walk through the various installation steps and demonstrate how effortless it is to conclude agile application development with MongoDB and OpenShift.

    MongoDB is the next-generation database that is built for rapid and iterative application development. Its springy data model — the competence to incorporate both structured or unstructured data — allows developers to build applications faster and more effectively than ever before. Enterprises can dynamically modify schemas without downtime, resulting in less time preparing data for the database, and more time putting data to work. MongoDB documents are more closely aligned to the structure of objects in a programming language. This makes it simpler and faster for developers to model how data in the application will map to data stored in the database, resulting in better agility and rapid development.

    MongoDB Ops Manager (also available as the hosted MongoDB Cloud Manager service) features visualization, custom dashboards, and automated alerting to assist manage a involved environment. Ops Manager tracks 100+ key database and systems health metrics including operations counters, CPU utilization, replication status, and any node status. The metrics are securely reported to Ops Manager where they are processed and visualized. Ops Manager can furthermore exist used to provide seamless no-downtime upgrades, scaling, and backup and restore.

    Red Hat OpenShift is a complete open source application platform that helps organizations develop, deploy, and manage existing and container-based applications seamlessly across infrastructures. Based on Docker container packaging and Kubernetes container cluster management, OpenShift delivers a high-quality developer sustain within a stable, secure, and scalable operating system. Application lifecycle management and agile application development tooling multiply efficiency. Interoperability with multiple services and technologies and enhanced container and orchestration models let you customize your environment.

    Setting Up Your Test Environment

    In order to result this example, you will necessity to meet a number of requirements. You will necessity a system with 16 GB of RAM and a RHEL 7.2 Server (we used an instance with a GUI for simplicity). The following software is furthermore required:

  • Ansible
  • Vagrant
  • VirtualBox
  • Ansible Install

    Ansible is a very powerful open source automation language. What makes it unique from other management tools, is that it is furthermore a deployment and orchestration tool. In many respects, aiming to provide big productivity gains to a wide variety of automation challenges. While Ansible provides more productive drop-in replacements for many core capabilities in other automation solutions, it furthermore seeks to solve other major unsolved IT challenges.

    We will install the Automation Agent onto the servers that will become fragment of the MongoDB replica set. The Automation Agent is fragment of MongoDB Ops Manager.

    In order to install Ansible using yum you will necessity to enable the EPEL repository. The EPEL (Extra Packages for Enterprise Linux) is repository that is driven by the Fedora Special Interest Group. This repository contains a number of additional packages guaranteed not to supplant or contest with the basis RHEL packages.

    The EPEL repository has a dependency on the Server Optional and Server Extras repositories. To enable these repositories you will necessity to execute the following commands:

    $ sudo subscription-manager repos --enable rhel-7-server-optional-rpms $ sudo subscription-manager repos --enable rhel-7-server-extras-rpms

    To install/enable the EPEL repository you will necessity to conclude the following:

    $ wget https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm $ sudo yum install epel-release-latest-7.noarch.rpm

    Once complete you can install ansible by executing the following command:

    $ sudo yum install ansible Vagrant Install

    Vagrant is a command line utility that can exist used to manage the lifecycle of a virtual machine. This tool is used for the installation and management of the Red Hat Container development Kit.

    Vagrant is not included in any standard repository, so they will necessity to install it. You can install Vagrant by enabling the SCLO repository or you can fetch it directly from the Vagrant website. They will consume the latter approach:

    $ wget https://releases.hashicorp.com/vagrant/1.8.3/vagrant_1.8.3_x86_64.rpm $ sudo yum install vagrant_1.8.3_x86_64.rpm VirtualBox Install

    The Red Hat Container development Kit requires a virtualization software stack to execute. In this blog they will consume VirtualBox for the virtualization software.

    VirtualBox is best done using a repository to ensure you can fetch updates. To conclude this you will necessity to result these steps:

  • You will want to download the repo file:
  • $ wget http://download.virtualbox.org/virtualbox/rpm/el/virtualbox.repo $ mv virtualbox.repo /etc/yum.repos.d $ sudo yum install VirtualBox-5.0

    Once the install is complete you will want to launch VirtualBox and ensure that the Guest Network is on the remedy subnet as the CDK has a default for it setup. The blog will leverage this default as well. To verify that the host is on the remedy domain:

  • Open VirtualBox, this should exist under you Applications->System Tools menu on your desktop.
  • Click on File->Preferences.
  • Click on Network.
  • Click on the Host-only Networks, and a popup of the VirtualBox preferences will load.
  • There should exist a vboxnet0 as the network, click on it and click on the edit icon (looks like a screwdriver on the left side of the popup) 6.Ensure that the IPv4 Address is 10.1.2.1.
  • Ensure the IPv4 Network Mask is 255.255.255.0.
  • Click on the DHCP Server tab.
  • Ensure the server address is 10.1.2.100.
  • Ensure the Server mask is 255.255.255.0.
  • Ensure the Lower Address Bound is 10.1.2.101.
  • Ensure the Upper Address Bound is 10.1.2.254.
  • Click on OK.
  • Click on OK.
  • CDK Install

    Docker containers are used to package software applications into portable, isolated stores. Developing software with containers helps developers create applications that will sprint the selfsame way on every platform. However, modern microservice deployments typically consume a scheduler such as Kubernetes to sprint in production. In order to fully simulate the production environment, developers require a local version of production tools. In the Red Hat stack, this is supplied by the Red Hat Container development Kit (CDK).

    The Red Hat CDK is a customized virtual machine that makes it effortless to sprint involved deployments resembling production. This means involved applications can exist developed using production grade tools from the very start, meaning developers are unlikely to sustain problems stemming from differences in the development and production environments.

    Now let's walk through installation and configuration of the Red Hat CDK. They will create a containerized multi-tier application on the CDK’s OpenShift instance and trek through the entire workflow. By the recess of this blog post you will know how to sprint an application on top of OpenShift and will exist intimate with the core features of the CDK and OpenShift. Let’s fetch started…

    Installing the CDK

    The prerequisites for running the CDK are Vagrant and a virtualization client (VirtualBox, VMware Fusion, libvirt). create sure that both are up and running on your machine.

    Start by going to Red Hat Product Downloads (note that you will necessity a Red Hat subscription to access this). Select ‘Red Hat Container development Kit’ under Product Variant, and the usurp version and architecture. You should download two packages:

  • Red Hat Container Tools.
  • RHEL Vagrant Box (for your preferred virtualization client).
  • The Container Tools package is a set of plugins and templates that will assist you start the Vagrant box. In the components subfolder you will find Vagrant files that will configure the virtual machine for you. The plugins folder contains the Vagrant add-ons that will exist used to register the original virtual machine with the Red Hat subscription and to configure networking.

    Unzip the container tools archive into the root of your user folder and install the Vagrant add-ons.

    $ cd ~/cdk/plugins $ vagrant plugin install vagrant-registration vagrant-adbinfo landrush vagrant-service-manager

    You can check if the plugins were actually installed with this command:

    $ vagrant plugin list

    Add the box you downloaded into Vagrant. The path and the cognomen may vary depending on your download folder and the box version:

    $ vagrant box add --name cdkv2 \ ~/Downloads/rhel-cdk-kubernetes-7.2-13.x86_64.vagrant-virtualbox.box

    Check that the vagrant box was properly added with the box list command:

    $ vagrant box list

    We will consume the Vagrantfile that comes shipped with the CDK and has support for OpenShift.

    $ cd $HOME/cdk/components/rhel/rhel-ose/ $ ls README.rst Vagrantfile

    In order to consume the landrush plugin to configure the DNS they necessity to add the following two lines to the Vagrantfile exactly as below (i.e. PUBLIC_ADDRESS is a property in the Vagrantfile and does not necessity to exist replaced) :

    config.landrush.enabled = true config.landrush.host_ip_address = "#{PUBLIC_ADDRESS}"

    This will allow us to access their application from outside the virtual machine based on the hostname they configure. Without this plugin, your applications will exist reachable only by IP address from within the VM.

    Save the changes and start the virtual machine :

    $ vagrant up

    During initialization, you will exist prompted to register your Vagrant box with your RHEL subscription credentials.

    Let’s review what just happened here. On your local machine, you now gain a working instance of OpenShift running inside a virtual machine. This instance can talk to the Red Hat Registry to download images for the most common application stacks. You furthermore fetch a private Docker registry for storing images. Docker, Kubernetes, OpenShift and Atomic App CLIs are furthermore installed.

    Now that they gain their Vagrant box up and running, it’s time to create and deploy a sample application to OpenShift, and create a continuous deployment workflow for it.

    The OpenShift console should exist accessible at https://10.1.2.2:8443 from a browser on your host (this IP is defined in the Vagrantfile). By default, the login credentials will exist openshift-dev/devel. You can furthermore consume your Red Hat credentials to login. In the console, they create a original project:

    Next, they create a original application using one of the built-in ‘Instant Apps’. Instant Apps are predefined application templates that drag specific images. These are an effortless way to quickly fetch an app up and running. From the list of Instant Apps, select “nodejs-mongodb-example” which will start a database (MongoDB) and a web server (Node.js).

    For this application, they will consume the source code from the OpenShift GitHub repository located here. If you want to result along with the webhook steps later, you’ll necessity to fork this repository into your own. Once you’re ready, enter the URL of your repo into the SOURCE_REPOSITORY_URL field:

    There are two other parameters that are valuable to us – GITHUB_WEBHOOK_SECRET and APPLICATION_DOMAIN:

  • GITHUB_WEBHOOK_SECRET: this realm allows us to create a covert to consume with the GitHub webhook for automatic builds. You don’t necessity to specify this, but you’ll necessity to recall the value later if you do.
  • APPLICATION_DOMAIN: this realm will determine where they can access their application. This value must involve the Top even Domain for the VM, by default this value is rhel-ose.vagrant.dev. You can check this by running vagrant landrush ls.
  • Once these values are configured, they can ‘Create’ their application. This brings us to an information page which gives us some helpful CLI commands as well as their webhook URL. Copy this URL as they will consume it later on.

    OpenShift will then drag the code from GitHub, find the usurp Docker image in the Red Hat repository, and furthermore create the build configuration, deployment configuration, and service definitions. It will then kick off an initial build. You can view this process and the various steps within the web console. Once completed it should Look like this:

    In order to consume the Landrush plugin, there is additional steps that are required to configure dnsmasq. To conclude that you will necessity to conclude the following:

  • Ensure dnsmasq is installed  $ sudo yum install dnsmasq
  • Modify the vagrant configuration for dnsmasq: $ sudo sh -c 'echo "server=/vagrant.test/127.0.0.1#10053" > /etc/dnsmasq.d/vagrant-landrush'
  • Edit /etc/dnsmasq.conf and verify the following lines are in this file: conf-dir=/etc/dnsmasq.d listen-address=127.0.0.1
  • Restart the dnsmasq service $ sudo systemctl restart dnsmasq
  • Add nameserver 127.0.0.1 to /etc/resolv.conf
  • Great! Their application has now been built and deployed on their local OpenShift environment. To complete the Continuous Deployment pipeline they just necessity to add a webhook into their GitHub repository they specified above, which will automatically update the running application.

    To set up the webhook in GitHub, they necessity a way of routing from the public internet to the Vagrant machine running on your host. An effortless way to achieve this is to consume a third party forwarding service such as ultrahook or ngrok. They necessity to set up a URL in the service that forwards traffic through a tunnel to the webhook URL they copied earlier.

    Once this is done, open the GitHub repo and trek to Settings -> Webhooks & services -> Add webhook. Under Payload URL enter the URL that the forwarding service gave you, plus the covert (if you specified one when setting up the OpenShift project). If your webhook is configured correctly you should espy something like this:

    To test out the pipeline, they necessity to create a change to their project and push a confide to the repo.

    Any effortless way to conclude this is to edit the views/index.html file, e.g: (Note that you can furthermore conclude this through the GitHub web interface if you’re feeling lazy). confide and push this change to the GitHub repo, and they can espy a original build is triggered automatically within the web console. Once the build completes, if they again open their application they should espy the updated front page.

    We now gain Continuous Deployment configured for their application. Throughout this blog post, we’ve used the OpenShift web interface. However, they could gain performed the selfsame actions using the OpenShift console (oc) at the command-line. The easiest way to experiment with this interface is to ssh into the CDK VM via the Vagrant ssh command.

    Before wrapping up, it’s helpful to understand some of the concepts used in Kubernetes, which is the underlying orchestration layer in OpenShift.

    Pods

    A pod is one or more containers that will exist deployed to a node together. A pod represents the smallest unit that can exist deployed and managed in OpenShift. The pod will exist assigned its own IP address. everything of the containers in the pod will share local storage and networking.

    A pod lifecycle is defined, deploy to node, sprint their container(s), exit or removed. Once a pod is executing then it cannot exist changed. If a change is required then the existing pod is terminated and recreated with the modified configuration.

    For their illustration application, they gain a Pod running the application. Pods can exist scaled up/down from the OpenShift interface.

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the remedy number of Pods are always running by monitoring the application and stopping or creating Pods as appropriate.

    Services

    Pods are grouped into services. Their architecture now has four services: three for the database (MongoDB) and one for the application server JBoss.

    Deployments

    With every original code confide (assuming you set-up the GitHub webhooks) OpenShift will update your application. original pods will exist started with the assist of replication controllers running your original application version. The feeble pods will exist deleted. OpenShift deployments can execute rollbacks and provide various deploy strategies. It’s arduous to overstate the advantages of being able to sprint a production environment in development and the efficiencies gained from the lickety-split feedback cycle of a Continuous Deployment pipeline.

    In this post, they gain shown how to consume the Red Hat CDK to achieve both of these goals within a short-time frame and now gain a Node.js and MongoDB application running in containers, deployed using the OpenShift PaaS. This is a mighty way to quickly fetch up and running with containers and microservices and to experiment with OpenShift and other elements of the Red Hat container ecosystem.

    MongoDB VirtualBox

    In this section, they will create the virtual machines that will exist required to set up the replica set. They will not walk through everything of the steps of setting up Red Hat as this is prerequisite knowledge.

    What they will exist doing is creating a basis RHEL 7.2 minimal install and then using the VirtualBox interface to clone the images. They will conclude this so that they can easily install the replica set using the MongoDB Automation Agent.

    We will furthermore exist installing a no password generated ssh keys for the Ansible Playbook install of the automation engine.

    Please execute the following steps:

  • In VirtualBox create a original guest image and convene it RHEL Base. They used the following information: a. recollection 2048 MB b. Storage 30GB c. 2 Network cards i. Nat ii. Host-Only
  • Do a minimal Red Hat install, they modified the disk layout to remove the /home directory and added the reclaimed space to the / partition
  • Once this is done you should attach a subscription and conclude a yum update on the guest RHEL install.

    The final step will exist to generate original ssh keys for the root user and transfer the keys to the guest machine. To conclude that gladden conclude the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. conclude not add a passphrase when requested.  # ssh-keygen
  • You necessity to add the contents of the id_rsa.pub to the authorized_keys file on the RHEL guest. The following steps were used on a local system and are not best practices for this process. In a managed server environment your IT should gain a best drill for doing this. If this is the first guest in your VirtualBox then it should gain an ip of 10.1.2.101, if it has another ip then you will necessity to supplant for the following. For this blog gladden execute the following steps # cd ~/.ssh/ # scp id_rsa.pub 10.1.2.101: # ssh 10.1.2.101 # mkdir .ssh # cat id_rsa.pub > ~/.ssh/authorized_keys # chmod 700 /root/.ssh # chmod 600 /root/.ssh/authorized_keys
  • SELinux may bury sshd from using the authorized_keys so update the permissions on the guest with the following command # restorecon -R -v /root/.ssh
  • Test the connection by trying to ssh from the host to the guest, you should not exist asked for any login information.
  • Once this is complete you can shut down the RHEL basis guest image. They will now clone this to provide the MongoDB environment. The steps are as follows:

  • Right click on the RHEL guest OS and select Clone.
  • Enter the cognomen 7.2 RH Mongo-DB1.
  • Ensure to click the Reinitialize the MAC Address of everything network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the cognomen 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of everything network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the cognomen 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of everything network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will exist to configure the hostnames, host-only ip and the host files. They will necessity to furthermore ensure that the systems can communicate on the port for MongoDB, so they will disable the firewall which is not meant for production purposes but you will necessity to contact your IT departments on how they manage opening of ports.

    Normally in a production environment, you would gain the servers in an internal DNS system, however for the sake of this blog they will consume hosts files for the purpose of names. They want to edit the /etc/hosts file on the three MongoDB guests as well as the hosts.

    The information they will exist using will exist as follows:

    To conclude so on each of the guests conclude the following:

  • Log in.
  • Find your host only network interface by looking for the interface on the host only network 10.1.2.0/24: # sudo ip addr
  • Edit the network interface, in their case the interface was enp0s8: # sudo vi /etc/sysconfig/network-scripts/ifcfg-enp0s8
  • You will want to change the ONBOOT and BOOTPROTO to the following and add the three lines for IP address, netmask, and Broadcast. Note: the IP address should exist based upon the table above. They should match the info below: ONBOOT=yes BOOTPROTO=static IPADDR=10.1.2.10 NETMASK-255.255.255.0 BROADCAST=10.1.2.255
  • Disable the firewall with: # systemctl stop firewalld # systemctl disable firewalld
  • Edit the hostname using the usurp values from the table above.  # hostnamectl set-hostname "mongo-db1" --static
  • Edit the hosts file adding the following to etc/hosts, you should furthermore conclude this on the guest: 10.1.2.10 mongo-db1 10.1.2.11 mongo-db2 10.1.2.12 mongo-db3
  • Restart the guest.
  • Try to SSH by hostname.
  • Also, try pinging each guest by hostname from guests and host.
  • Ops Manager

    MongoDB Ops Manager can exist leveraged throughout the development, test, and production lifecycle, with critical functionality ranging from cluster performance monitoring data, alerting, no-downtime upgrades, advanced configuration and scaling, as well as backup and restore. Ops Manager can exist used to manage up to thousands of discrete MongoDB clusters in a tenants-per-cluster mode — isolating cluster users to specific clusters.

    All major MongoDB Ops Manager actions can exist driven manually through the user interface or programmatically through the ease API, where Ops Manager can exist deployed by platform teams offering Enterprise MongoDB as a Service back-ends to application teams.

    Specifically, Ops Manager can deploy any MongoDB cluster topology across bare metal or virtualized hosts, or in private or public cloud environments. A production MongoDB cluster will typically exist deployed across a minimum of three hosts in three discrete availability areas — physical servers, racks, or data centers. The loss of one host will still preserve a quorum in the remaining two to ensure always-on availability.

    Ops Manager can deploy a MongoDB cluster (replica set or sharded cluster) across the hosts with Ops Manager agents running, using any desired MongoDB version and enabling access control (authentication and authorization) so that only client connections presenting the remedy credentials are able to access the cluster. The MongoDB cluster can furthermore consume SSL/TLS for over the wire encryption.

    Once a MongoDB cluster is successfully deployed by Ops Manager, the cluster’s connection string can exist easily generated (in the case of a MongoDB replica set, this will exist the three hostname:port pairs separated by commas). An OpenShift application can then exist configured to consume the connection string and authentication credentials to this MongoDB cluster.

    To consume Ops Manager with Ansible and OpenShift:

  • Install and consume a MongoDB Ops Manager, and record the URL that it is accessible at (“OpsManagerCentralURL”)
  • Ensure that the MongoDB Ops Manager is accessible over the network at the OpsManagerCentralURL from the servers (VMs) where they will deploy MongoDB. (Note that the reverse is not necessary; in other words, Ops Manager does not necessity to exist able to compass into the managed VMs directly over the network).
  • Spawn servers (VMs) running Red Hat Enterprise Linux, able to compass each other over the network at the hostnames returned by “hostname -f” on each server respectively, and the MongoDB Ops Manager itself, at the OpsManagerCentralURL.
  • Create an Ops Manager Group, and record the group’s unique identifier (“mmsGroupId”) and Agent API key (“mmsApiKey”) from the group’s ‘Settings’ page in the user interface.
  • Use Ansible to configure the VMs to start the MongoDB Ops Manager Automation Agent (available for download directly from the Ops Manager). consume the Ops Manager UI (or ease API) to instruct the Ops Manager agents to deploy a MongoDB replica set across the three VMs.
  • Ansible Install

    By having three MongoDB instances that they want to install the automation agent it would exist effortless enough to login and sprint the commands as seen in the Ops Manager agent installation information. However they gain created an ansible playbook that you will necessity to change to customize.

    The playbook looks like:

    - hosts: mongoDBNodes vars: OpsManagerCentralURL: <baseURL> mmsGroupId: <groupID> mmsApiKey: <ApiKey> remote_user: root tasks: - name: install automation agent RPM from OPS manager instance @ {{ OpsManagerCentralURL }} yum: name={{ OpsManagerCentralURL }}/download/agent/automation/mongodb-mms-automation-agent-manager-latest.x86_64.rhel7.rpm state=present - name: write the MMS Group ID as {{ mmsGroupId }} lineinfile: dest=/etc/mongodb-mms/automation-agent.config regexp=^mmsGroupId= line=mmsGroupId={{ mmsGroupId }} - name: write the MMS API Key as {{ mmsApiKey }} lineinfile: dest=/etc/mongodb-mms/automation-agent.config regexp=^mmsApiKey= line=mmsApiKey={{ mmsApiKey }} - name: write the MMS basis URL as {{ OpsManagerCentralURL }} lineinfile: dest=/etc/mongodb-mms/automation-agent.config regexp=^mmsBaseUrl= line=mmsBaseUrl={{ OpsManagerCentralURL }} - name: create MongoDB data directory file: path=/data state=directory owner=mongod group=mongod - name: ensure MongoDB MMS Automation Agent is started service: name=mongodb-mms-automation-agent state=started

    You will necessity to customize it with the information you gathered from the Ops Manager.

    You will necessity to create this file as your root user and then update the /etc/ansible/hosts file and add the following lines:

    [mongoDBNodes] mongo-db1 mongo-db2 mongo-db3

    Once this is done you are ready to sprint the ansible playbook. This playbook will contact your Ops Manager Server, download the latest client, update the client config files with your APiKey and Groupid, install the client and then start the client. To sprint the playbook you necessity to execute the command as root:

    ansible-playbook –v mongodb-agent-playbook.yml

    Use MongoDB Ops Manager to create a MongoDB Replica Set and add database users with usurp access rights:

  • Verify that everything of the Ops Manager agents gain started in the MongoDB Ops Manager group’s Deployment interface.
  • Navigate to "Add” > ”New Replica Set" and define a Replica Set with desired configuration (MongoDB 3.2, default settings).
  • Navigate to "Authentication & SSL Settings" in the "..." menu and enable MongoDB Username/Password (SCRAM-SHA-1) Authentication.
  • Navigate to the "Authentication & Users" panel and add a database user to the sampledb a. Add the testUser@sampledb user, with password set to "password", and with Roles: readWrite@sampledb dbOwner@sampledb dbAdmin@sampledb userAdmin@sampledb Roles.
  • Click Review & Deploy.
  • OpenShift Continuous Deployment

    Up until now, we’ve explored the Red Hat container ecosystem, the Red Hat Container development Kit (CDK), OpenShift as a local deployment, and OpenShift in production. In this final section, we’re going to remove a Look at how a team can remove odds of the advanced features of OpenShift in order to automatically trek original versions of applications from development to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the even of automation).

    OpenShift supports different setups depending on organizational requirements. Some organizations may sprint a completely separate cluster for each environment (e.g. dev, staging, production) and others may consume a single cluster for several environments. If you sprint a separate OpenShift PaaS for each environment, they will each gain their own dedicated and isolated resources, which is costly but ensures isolation (a problem with the development cluster cannot touch production). However, multiple environments can safely sprint on one OpenShift cluster through the platform’s support for resource isolation, which allows nodes to exist dedicated to specific environments. This means you will gain one OpenShift cluster with common masters for everything environments, but dedicated nodes assigned to specific environments. This allows for scenarios such as only allowing production projects to sprint on the more powerful / expensive nodes.

    OpenShift integrates well with existing Continuous Integration / Continuous Delivery tools. Jenkins, for example, is available for consume inside the platform and can exist easily added to any projects you’re planning to deploy. For this demo however, they will stick to out-of-the-box OpenShift features, to attest workflows can exist constructed out of the OpenShift fundamentals.

    A Continuous Delivery Pipeline with CDK and OpenShift Enterprise

    The workflow of their continuous delivery pipeline is illustrated below:

    The diagram shows the developer on the left, who is working on the project in their own environment. In this case, the developer is using Red Hat’s CDK running on their local-machine, but they could equally exist using a development environment provisioned in a remote OpenShift cluster.

    To trek code between environments, they can remove odds of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those found on Docker Hub — it is a collection of related images with identifying names or “tags”. An image stream can mention to images in Docker repositories (both local and remote) or other image streams. However, the killer feature is that OpenShift will generate notifications whenever an image stream changes, which they can easily configure projects to listen and react to. They can espy this in the diagram above — when the developer is ready for their changes to exist picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will exist picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who gain the changed image as a basis layer). This can exist fully automated by the consume of Jenkins or a similar CI tool; on a check-in to the source control repository, it can sprint a test-suite and automatically tag the image if it passes.

    To trek between staging and production they can conclude exactly the selfsame thing — Jenkins or a similar tool could sprint a more thorough set of system tests and if they pass tag the image so the production environment picks up the changes and deploys the original versions. This would exist accurate Continuous Deployment — where a change made in dev will propagate automatically to production without any manual intervention. Many organizations may instead opt for Continuous Delivery — where there is still a manual “ok” required before changes hit production. In OpenShift this can exist easily done by requiring the images in staging to exist tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s Look at a true illustration of pushing an application from development to production. They will consume the simple MLB Parks application from a previous blog post that connects to MongoDB for storage of persistent data. The application displays various information about MLB parks such as league and city on a map. The source code is available in this GitHub repository. The illustration assumes that both environments are hosted on the selfsame OpenShift cluster, but it can exist easily adapted to allow promotion to another OpenShift instance by using a common registry.

    If you don’t already gain a working OpenShift instance, you can quickly fetch started by using the CDK, which they furthermore covered in an earlier blogpost. Start by logging in to OpenShift using your credentials:

    $ oc login -u openshift-dev

    Now we’ll create two original projects. The first one represents the production environment (mlbparks-production):

    $ oc new-project mlbparks-production Now using project "mlbparks-production" on server "https://localhost:8443".

    And the second one will exist their development environment (mlbparks):

    $ oc new-project mlbparks Now using project "mlbparks" on server "https://localhost:8443".

    After you sprint this command you should exist in the context of the development project (mlbparks). We’ll start by creating an external service to the MongoDB database replica-set.

    Openshift allows us to access external services, allowing their projects to access services that are outside the control of OpenShift. This is done by defining a service with an empty selector and an endpoint. In some cases you can gain multiple IP addresses assigned to your endpoint and the service will act as a load balancer. This will not work with the MongoDB replica set as you will encounter issues not being able to connect to the PRIMARY node for writing purposes. To allow for this in this case you will necessity to create one external service for each node. In their case they gain three nodes so for illustrative purposes they gain three service files and three endpoint files.

    Service Files: replica-1_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-1" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-1_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-1" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.10" } ], "ports": [ { "port": 27017 } ] } ] }

    replica-2_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-2" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-2_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-2" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.11" } ], "ports": [ { "port": 27017 } ] } ] }

    replica-3_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-3" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-3_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-3" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.12" } ], "ports": [ { "port": 27017 } ] } ] }

    Using the above replica files you will necessity to sprint the following commands:

    $ oc create -f replica-1_service.json $ oc create -f replica-1_endpoints.json $ oc create -f replica-2_service.json $ oc create -f replica-2_endpoints.json $ oc create -f replica-3_service.json $ oc create -f replica-3_endpoints.json

    Now that they gain the endpoints for the external replica set created they can now create the MLB parks using a template. They will consume the source code from their demo GitHub repo and the s2i build strategy which will create a container for their source code (note this repository has no Dockerfile in the branch they use). everything of the environment variables are in the mlbparks-template.json, so they will first create a template then create their original app:

    $ oc create -f https://raw.githubusercontent.com/macurwen/openshift3mlbparks/master/mlbparks-template.json $ oc new-app mlbparks --> Success Build scheduled for "mlbparks" - consume the logs command to track its progress. sprint 'oc status' to view your app.

    As well as structure the application, note that it has created an image stream called mlbparks for us.

    Once the build has finished, you should gain the application up and running (accessible at the hostname found in the pod of the web ui) built from an image stream.

    We can fetch the cognomen of the image created by the build with the assist of the picture command:

    $ oc picture imagestream mlbparks Name: mlbparks Created: 10 minutes ago Labels: app=mlbparks Annotations: openshift.io/generated-by=OpenShiftNewApp openshift.io/image.dockerRepositoryCheck=2016-03-03T16:43:16Z Docker drag Spec: 172.30.76.179:5000/mlbparks/mlbparks Tag Spec Created PullSpec Image latest <pushed> 7 minutes ago 172.30.76.179:5000/mlbparks/mlbparks@sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec

    So OpenShift has built the image mlbparks@sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec, added it to the local repository at 172.30.76.179:5000 and tagged it as latest in the mlbparks image stream.

    Now they know the image ID, they can create a tag that marks it as ready for consume in production (use the SHA of your image here, but remove the IP address of the registry):

    $ oc tag mlbparks/mlbparks\ @sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec \ mlbparks/mlbparks:production Tag mlbparks:production set to mlbparks/mlbparks@sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec.

    We’ve intentionally used the unique SHA hash of the image rather than the tag latest to identify their image. This is because they want the production tag to exist tied to this particular version. If they hadn’t done this, production would automatically track changes to latest, which would involve untested code.

    To allow the production project to drag the image from the development repository, they necessity to grant drag rights to the service account associated with production environment. Note that mlbparks-production is the cognomen of the production project:

    $ oc policy add-role-to-group system:image-puller \ system:serviceaccounts:mlbparks-production \ --namespace=mlbparks To verify that the original policy is in place, they can check the rolebindings: $ oc fetch rolebindings NAME ROLE USERS GROUPS SERVICE ACCOUNTS SUBJECTS admins /admin catalin system:deployers /system:deployer deployer system:image-builders /system:image-builder builder system:image-pullers /system:image-puller system:serviceaccounts:mlbparks, system:serviceaccounts:mlbparks-production

    OK, so now they gain an image that can exist deployed to the production environment. Let’s switch the current project to the production one:

    $ oc project mlbparks-production Now using project "mlbparks" on server "https://localhost:8443".

    To start the database we’ll consume the selfsame steps to access the external MongoDB as previous:

    $ oc create -f replica-1_service.json $ oc create -f replica-1_endpoints.json $ oc create -f replica-2_service.json $ oc create -f replica-2_endpoints.json $ oc create -f replica-3_service.json $ oc create -f replica-3_endpoints.json

    For the application fragment we’ll exist using the image stream created in the development project that was tagged “production”:

    $ oc new-app mlbparks/mlbparks:production --> found image 5621fed (11 minutes old) in image stream "mlbparks in project mlbparks" under tag :production for "mlbparks/mlbparks:production" * This image will exist deployed in deployment config "mlbparks" * Port 8080/tcp will exist load balanced by service "mlbparks" --> Creating resources with label app=mlbparks ... DeploymentConfig "mlbparks" created Service "mlbparks" created --> Success sprint 'oc status' to view your app.

    This will create an application from the selfsame image generated in the previous environment.

    You should now find the production app is running at the provided hostname.

    We will now demonstrate the competence to both automatically trek original items to production, but they will furthermore attest how they can update an application without having to update the MongoDB schema. They gain created a branch of the code in which they will now add the division to the league for the ballparks, without updating the schema.

    Start by going back to the development project:

    $ oc project mlbparks Now using project "mlbparks" on server "https://10.1.2.2:8443". And start a original build based on the confide “8a58785”: $ oc start-build mlbparks --git-repository=https://github.com/macurwen/openshift3mlbparks/tree/division --commit='8a58785'

    Traditionally with a RDBMS if they want to add a original factor to in their application to exist persisted to the database, they would necessity to create the changes in the code as well as gain a DBA manually update the schema at the database. The following code is an illustration of how they can modify the application code without manually making changes to the MongoDB schema.

    BasicDBObject updateQuery = original BasicDBObject(); updateQuery.append("$set", original BasicDBObject() .append("division", "East")); BasicDBObject searchQuery = original BasicDBObject(); searchQuery.append("league", "American League"); parkListCollection.updateMulti(searchQuery, updateQuery);

    Once the build finishes running, a deployment task will start that will supplant the running container. Once the original version is deployed, you should exist able to espy East under Toronto for example.

    If you check the production version, you should find it is still running the previous version of the code.

    OK, we’re gratified with the change, let’s tag it ready for production. Again, sprint oc to fetch the ID of the image tagged latest, which they can then tag as production:

    $ oc tag mlbparks/mlbparks@\ sha256:ceed25d3fb099169ae404a52f50004074954d970384fef80f46f51dadc59c95d \ mlbparks/mlbparks:production Tag mlbparks:production set to mlbparks/mlbparks@sha256:ceed25d3fb099169ae404a52f50004074954d970384fef80f46f51dadc59c95d.

    This tag will trigger an automatic deployment of the original image to the production environment.

    Rolling back can exist done in different ways. For this example, they will roll back the production environment by tagging production with the feeble image ID. Find the right id by running the oc command again, and then tag it:

    $ oc tag mlbparks/mlbparks@\ sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec \ mlbparks/mlbparks:production Tag mlbparks:production set to mlbparks/mlbparks@sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec. Conclusion

    Over the course of this post, we’ve investigated the Red Hat container ecosystem and OpenShift Container Platform in particular. OpenShift builds on the advanced orchestration capabilities of Kubernetes and the reliability and stability of the Red Hat Enterprise Linux operating system to provide a powerful application environment for the enterprise. OpenShift adds several ideas of its own that provide valuable features for organizations, including source-to-image tooling, image streams, project and user isolation and a web UI. This post showed how these features work together to provide a complete CD workflow where code can exist automatically pushed from development through to production combined with the power and capabilities of MongoDB as the backend of election for applications.


    Beginning DB2: From Novice to Professional | killexams.com true questions and Pass4sure dumps

    Synopsis

    Now available in paperback-

    IBM's DB2 Express Edition is one of the most capable of the free database platforms available in today's marketplace. In beginning DB2, author grant Allen gets you started using DB2 Express Edition for web sites, desktop applications, and more. The author covers the basics of DB2 for developers and database administrators, shows you how to manage data in both XML and relational form, and includes numerous code examples so that you are never in doubt as to how things work. In this book, you'll find:

    A friendly introduction to DB2 Express Edition, an industrial-strength, relational database from IBM

    Dozens of examples so that you are never in doubt as to how things work

    Coverage of valuable language interfaces, such as from PHP, Ruby, C#, Python, and more

    The bespeak is aimed at developers who want a robust database to back their applications.

    Grant Allen has worked in the IT realm for over 20 years, as a CTO, enterprise architect, and database administrator. Grant's roles gain covered private enterprise, academia and the government sector around the world, specialising in global-scale systems design, development, and performance. He is a frequent speaker at industry and academic conferences, on topics ranging from data mining to compliance, and technologies such as databases (DB2, Oracle, SQL Server, MySQL), content management, collaboration, disruptive innovation, and mobile ecosystems like Android. His first Android application was a task list to remind him to finish everything his other unfinished Android projects. grant works for Google, and in his spare time is completing a Ph.D on structure innovative high-technology environments. grant is the author of beginning DB2, and lead author of Oracle SQL Recipes and The Definitive sheperd to SQLite.

    More books by grant Allen

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