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000-610 exam Dumps Source : DB2 10.1 Fundamentals

Test Code : 000-610
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Vendor designation : IBM
: 138 existent Questions

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IBM IBM DB2 10.1 Fundamentals

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

here excerpt from DB2 9 Fundamentals: Certification examine ebook, written via Roger E. Sanders, is reprinted with leave from MC Press. read the finished Chapter 1, A ebook to the IBM DB2 9 certification exam in case you feel taking a DB2 9 Fundamentals certification examination should breathe would becould very well breathe your next profession circulate.

The IBM DB2 9 certification procedure

a immediate examination of the IBM certification roles obtainable directly displays that, with the intention to gain a selected DB2 9 certification, you requisite to buy and slip one or greater exams which luxuriate in been designed above totality for that certification position. (every exam is a utility-based exam that is neither platform -- nor product-certain.) as a result, once you luxuriate in chosen the certification office you wish to pursue and familiarized your self with the requirements for that certain function, the subsequent step is to prepare for and buy the acceptable certification tests.

making ready for the IBM DB2 9 certification tests

when you luxuriate in suffer the utilize of DB2 9 within the context of the certification role you luxuriate in chosen, you can too already possess the capabilities and capabilities vital to pass the examination(s) required for that position. youngsters, if your journey with DB2 9 is restricted (and notwithstanding it is not), you can prepare for any of the certification assessments obtainable via taking expertise of the following substances:

  • Formal schooling
  • IBM getting to know features offers lessons which are designed to befriend you achieve together for DB2 9 certification. a list of the classes which are suggested for every certification examination can breathe create the usage of the Certification Navigator instrument offered on IBM's "expert Certification application from IBM " net site. recommended courses can too breathe discovered at IBM's "DB2 data management" net website. For more tips on direction schedules, places, and pricing, contact IBM discovering services or consult with their web web page.

  • on-line tutorials
  • IBM offers a collection of seven interactive online tutorials designed to achieve together you for the DB2 9 Fundamentals exam (examination 730). IBM too presents a collection of interactive on-line tutorials designed to prepare you for the DB2 9 for Linux, UNIX, and windows Database Administration exam (examination 731) and the DB2 9 household application structure examination (exam 733).

  • Publications
  • the entire information you requisite to circulate any of the obtainable certification assessments may too breathe present in the documentation that is supplied with DB2 9. a complete set of manuals comes with the product and are accessible during the assistance core after you luxuriate in installed the DB2 9 software. DB2 9 documentation can too breathe downloaded from IBM's web site in both HTML and PDF codecs. @39202

    Self-analyze books (corresponding to this one) that headquarters of attention on one or more DB2 9 certification tests/roles are additionally purchasable. most of these books may too breathe create at your native bookshop or ordered from many on-line booklet retailers. (a catalogue of feasible reference materials for every certification examination can too breathe create using the Certification Navigator instrument supplied on IBM's "professional Certification software from IBM" internet website.)

    moreover the DB2 9 product documentation, IBM commonly produces manuals, called "RedBooks," that cover advanced DB2 9 theme matters (as well as other topics). These manuals can breathe create as downloadable PDF information on IBM's RedBook internet web page. Or, if you choose to luxuriate in a bound tough replica, that you could gather one for a modest fee by using following the applicable links on the RedBook web web site. (There is no permeate for the downloadable PDF data.)

  • exam ambitions
  • objectives that give an profile of the simple topics that are coated on a selected certification exam can too breathe create the utilize of the Certification Navigator instrument provided on IBM's "skilled Certification application from IBM" net site. examination aims for the DB2 9 household Fundamentals exam (exam 730) can even breathe present in Appendix A of this book.

  • sample questions/checks
  • pattern questions and pattern assessments will let you whirl into accepted with the format and wording used on the actual certification exams. they can befriend you invent a decision whether you possess the abilities obligatory to pass a particular examination. pattern questions, together with descriptive answers, are supplied at the discontinue of each chapter in this booklet and in Appendix B. sample tests for every DB2 9 certification office obtainable can too breathe discovered the usage of the Certification examination device provided on IBM's "expert Certification application from IBM" internet web site. there is a $10 can permeate for each examination taken.

    it's crucial to notice that the certification checks are designed to breathe rigorous. Very certain solutions are anticipated for many exam questions. because of this, and since the latitude of material lined on a certification exam is always broader than the expertise base of many DB2 9 professionals, you should definitely buy capabilities of the examination training elements purchasable if you want to assure your success in acquiring the certification(s) you need.

  • The relaxation of this chapter details totality obtainable DB2 9 certifications and contains lists of cautioned items to know before taking the examination. It additionally describes the format of the checks and what to are expecting on exam day. read the finished Chapter 1: A e-book to the IBM DB2 9 certification examination to breathe trained more.


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    No influence discovered, are attempting unusual keyword!Fundamentals of IBM can breathe reviewed in privilege here issues under ... these days, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it breathe an outstanding business, but you luxuriate in to breathe di...

    Mainframe statistics Is Your secret Sauce: A Recipe for records insurance device | killexams.com existent Questions and Pass4sure dumps

    Mainframe data Is Your secret Sauce: A Recipe for facts coverage July 31, 2017  |  via Kathryn Zeidenstein A chef drizzling sauce on a plate of food.

    Bigstock

    Share Mainframe information Is Your secret Sauce: A Recipe for statistics insurance policy on Twitter share Mainframe records Is Your secret Sauce: A Recipe for information insurance policy on facebook share Mainframe information Is Your secret Sauce: A Recipe for data protection on LinkedIn

    We in the security container want to utilize metaphors to back illustrate the flash of facts in the commercial enterprise. I’m a huge fan of cooking, so I’ll utilize the metaphor of a secret sauce. reckon about it: each transaction truly displays your organization’s entertaining relationship with a client, business enterprise or accomplice. with the aid of sheer quantity alone, mainframe transactions deliver a huge variety of components that your company makes utilize of to invent its secret sauce — improving client relationships, tuning deliver chain operations, starting unusual traces of business and greater.

    extremely faultfinding statistics flows through and into mainframe statistics retailers. definitely, ninety two of the suitable a hundred banks depend on the mainframe on account of its speed, scale and protection. additionally, more than 29 billion ATM transactions are processed per year, and 87 p.c of totality bank card transactions are processed in the course of the mainframe.

    Safeguarding Your secret Sauce

    the buzz has been strong for the fresh IBM z14 announcement, which includes pervasive encryption, tamper-responding key administration and even encrypted software program interfaces (APIs). The pace and scale of the pervasive encryption solution is breathtaking.

    Encryption is a basic technology to present protection to your secret sauce, and the unusual convenient-to-use crypto capabilities within the z14 will invent encryption a no brainer.

    With the entire excitement round pervasive encryption, notwithstanding, it’s vital not to overlook yet another component that’s crucial for data protection: records endeavor monitoring. reckon about totality of the purposes, features and directors as cooks in a kitchen. How can you invent certain that individuals are as it should breathe following the recipe? How conclude you invent certain that they aren’t jogging off together with your secret sauce and growing aggressive recipes or selling it on the black market?

    Watch the on-demand webinar: Is Your sensitive statistics covered?

    records coverage and activity Monitoring

    data exercise monitoring gives insights into entry conduct — this is, the who, what, the location and when of entry for DB2, the counsel administration device (IMS) and the file gadget. as an instance, through the utilize of statistics recreation monitoring, you can breathe capable of inform no matter if the pinnacle chef (i.e., the database or device administrator) is working from a unique region or working irregular hours.

    moreover, information endeavor monitoring raises the visibility of unusual mistake conditions. If an software starts throwing a number of abnormal database error, it can breathe an illustration that an SQL injection assault is underway. Or probably the software is only poorly written or maintained — in totality probability tables were dropped or software privileges luxuriate in modified. This visibility can back corporations chop back database overhead and possibility by means of bringing these issues to mild.

    Then there’s compliance, totality and sundry’s favourite theme. You should breathe able to point to to auditors that compliance mandates are being adopted, even if that contains monitoring privileged clients, now not permitting unauthorized database adjustments or monitoring totality entry to permeate card industry (PCI) facts. With the european’s regular facts protection legislation (GDPR) set to buy repercussion in may 2018, the stakes are even greater.

    Automating believe, Compliance and safety

    As a piece of a finished records coverage strategy for the mainframe, IBM safety Guardium for z/OS offers distinct, granular, real-time pastime monitoring capabilities as well as actual-time alerting, out-of-the-box compliance reporting and plenty greater. The most recent liberate, 10.1.3, offers facts coverage improvements as well as efficiency improvements to back retain your fees and overhead down.

    Your mainframe statistics is precious — it's your secret sauce. As such, it can breathe kept below lock and key, and monitored normally.

    To study greater about monitoring and keeping data in mainframe environments, watch their on-demand webinar, “Your Mainframe environment Is a Treasure Trove: Is Your dainty statistics covered?”

    Tags: Compliance | facts protection | Encryption | Mainframe | Mainframe protection | payment Card industry (PCI) Kathryn Zeidenstein

    know-how Evangelist and community advocate, IBM safety Guardium

    Kathryn Zeidenstein is a expertise evangelist and neighborhood advocate for IBM safety Guardium data insurance policy... 13 Posts What’s new
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    000-610 DB2 10.1 Fundamentals

    Study steer Prepared by Killexams.com IBM Dumps Experts


    Killexams.com 000-610 Dumps and existent Questions

    100% existent Questions - Exam Pass Guarantee with high Marks - Just Memorize the Answers



    000-610 exam Dumps Source : DB2 10.1 Fundamentals

    Test Code : 000-610
    Test designation : DB2 10.1 Fundamentals
    Vendor designation : IBM
    : 138 existent Questions

    actually remarkable experience! with 000-610 actual test questions.
    Being an underneath middling scholar, I were given terrified of the 000-610 exam as subjects seemed very tough to me. butpassing the buy a search for at was a requisite as I had to change the chore badly. searched for an immaculate manual and got one with the dumps. It helped me retort totality a pair of kindly questions in 200 mins and bypass effectively. What an exquisitequery & solutions, mind dumps! satisfied to Get hold of two gives from well-known organizations with handsome bundle. I counsel most effectual killexams.com


    satisfactory to concentrate that dumps today's 000-610 exam are available.
    killexams! Massive manner to you. Ultimate month whilst i was an unreasonable amount of worried about my 000-610 examination this website assist me masses for scoring excessive. As every corpse is conscious of that 000-610 certification is an unreasonable amount of tough however for me it become no longer an unreasonable amount of hard, as I had 000-610 cloth in my hand. After experiencing such dependable material I suggested to totality the college students to incline towards the incredible educational offerings of this web site in your education. My well needs are with you concerned in your 000-610 certificates.


    Stop worrying anymore for 000-610 test.
    I by no means conception I may want to pass the 000-610 exam. however im a hundred% positive that without killexams.com i haveno longer performed it thoroughly. The surprising material affords me the specified functionality to buy the exam. Being confidential with the provided cloth I passed my examination with ninety two%. I never scored this a sterling deal heed in any examination. its miles nicely conception out, effectual and dependable to apply. thank you for imparting a dynamic material for the mastering.


    i discovered a terrific location for 000-610 question pecuniary institution.
    In the exam most of the questions were very to killexams.com material, which helped me to rescue a lot of time and I was able to complete the entire 75 questions. I too took the befriend of the reference book. The killexams.com Questions for 000-610 exam is consistently updated to provide the most accurate and up to date questions. This really made me feel confident in passing the 000-610 exam.


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    actual 000-610 exam questions to pass at first strive.
    000-610 is the toughest examination ive ever Come across. I spent months reading for it, with totality legitimate belongings and the all lot one luxuriate in to discover - and failed it miserably. But I didnt give up! Some months later, I delivered killexams.com to my coaching time table and stored practising on the checking out engine and the actual exam questions they provide. I believe this is precisely what helped me pass the second time around! I want I hadnt wasted the money and time on totality this unnecessary stuff (their books arent horrible in wellknown, but I accept as lawful with they dont provide you with the character examination training).


    Take a ingenious pass, gather those 000-610 questions and solutions.
    Found out this sterling source after a long time. Everyone here is cooperative and competent. Team provided me very sterling material for 000-610 preparation.


    Get those 000-610 , prepare and chillout!
    I surpassed the 000-610 examination and quite recommend killexams.com to each person who considers buying their substances. this is a totally legitimate and dependable guidance device, a superb alternative for folks that can not luxuriate in the funds for signing up for full-time guides (thats a squander of time and money in case you inquire from me! specifically if you luxuriate in Killexams). if you luxuriate in been thinking, the questions are actual!


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    tremendous source of awesome dumps, accurate answers.
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    Integration of RaptorXML: Announced earlier this year, RaptorXML Server is high-performance server software capable of validating and processing XML at lightning speeds -- while delivering the strictest viable standards conformance. Now the very hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce®, and SchemaAgent®, delivering lightning speedy validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to back the very latest of totality apropos XML standards, including XML Schema 1.1, XSLT 3.0, XPath 3.0, XBRL 2.1, and myriad others.

    Support for Schema 1.1: XMLSpy 2014 includes necessary back for XML Schema 1.1 validation and editing. The latest version of the XML Schema standard, 1.1 adds unusual features aimed at making schemas more flexible and adaptable to business situations, such as assertions, conditional types, open content, and more.

    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 light to understand and implement these unusual features.

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

    Coinciding with XML Schema 1.1 support, Altova has too 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 comprise the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful unusual functionality such as: dynamic office cells, inline office expressions, and back for union types to designation just a few. Full back for unusual functions and operators added in XPath 3.0 is available through smart 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. tickle note that a subset of XSLT 3.0 is supported since the measure is noiseless a working draft that continues to evolve. XSLT 3.0 back conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, back in XMLSpy now gives developers the talent to start working with this unusual version immediately.

    XSLT 3.0 takes edge of the unusual features added in XPath 3.0. In addition, a major feature enabled by the unusual version is the unusual xsl:try / xsl:catch construct, which can breathe used to trap and retrieve from dynamic errors. Other enhancements in XSLT 3.0 comprise back for higher order functions and partial functions.

    Story Continues

    As with XSLT and XPath, XMLSpy back for XQuery now too includes a subset of version 3.0. Developers will now luxuriate in the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other smart editing features.

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the unusual functions and operators added in XPath 3.0, such as a unusual string concatenation operator, map operator, math functions, sequence processing, and more -- totality 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 comprise complete back for newer versions of previously supported databases, as well as back for unusual 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 unusual 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 business processes, while MapForce Server and StyleVision Server present high-speed automation for projects designed using confidential 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 complex database queries or needs to invent its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to preclude these delays. The cached data can then breathe 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 breathe a sterling 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 unusual features, supported standards, and visitation downloads tickle 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 haughty 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 breathe the trademarks of their respective owners.


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

    Current development cycles visage many challenges such as an evolving landscape of application architecture (Monolithic to Microservices), the requisite to frequently deploy features, and unusual IaaS and PaaS environments. This causes many issues throughout the organization, from the development teams totality the route to operations and management.

    In this blog post, they will point to you how you can set up a local system that will back MongoDB, MongoDB Ops Manager, and OpenShift. They will walk through the various installation steps and demonstrate how light 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 flexible data model — the talent 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 befriend manage a complex 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 too breathe 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 suffer 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 supervene this example, you will requisite to meet a number of requirements. You will requisite 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 too 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 too a deployment and orchestration tool. In many respects, aiming to provide large 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 too seeks to unravel other major unsolved IT challenges.

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

    In order to install Ansible using yum you will requisite 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 supersede or contest with the base RHEL packages.

    The EPEL repository has a dependency on the Server Optional and Server Extras repositories. To enable these repositories you will requisite 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 requisite 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 breathe used to manage the lifecycle of a virtual machine. This instrument is used for the installation and management of the Red Hat Container development Kit.

    Vagrant is not included in any measure repository, so they will requisite to install it. You can install Vagrant by enabling the SCLO repository or you can Get it directly from the Vagrant website. They will utilize 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 utilize VirtualBox for the virtualization software.

    VirtualBox is best done using a repository to ensure you can Get updates. To conclude this you will requisite to supervene 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 correct 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 correct domain:

  • Open VirtualBox, this should breathe 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 breathe 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 evade the very route on every platform. However, modern microservice deployments typically utilize a scheduler such as Kubernetes to evade 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 light to evade complex deployments resembling production. This means complex applications can breathe developed using production grade tools from the very start, signification developers are unlikely to suffer 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 Go through the entire workflow. By the discontinue of this blog post you will know how to evade an application on top of OpenShift and will breathe confidential with the core features of the CDK and OpenShift. Let’s Get started…

    Installing the CDK

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

    Start by going to Red Hat Product Downloads (note that you will requisite a Red Hat subscription to access this). Select ‘Red Hat Container development Kit’ under Product Variant, and the confiscate 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 befriend 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 breathe used to register the unusual 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 designation 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 utilize the Vagrantfile that comes shipped with the CDK and has back for OpenShift.

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

    In order to utilize the landrush plugin to configure the DNS they requisite 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 requisite to breathe 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 breathe reachable only by IP address from within the VM.

    Save the changes and start the virtual machine :

    $ vagrant up

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

    Let’s review what just happened here. On your local machine, you now luxuriate in 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 too Get a private Docker registry for storing images. Docker, Kubernetes, OpenShift and Atomic App CLIs are too installed.

    Now that they luxuriate in 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 breathe 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 breathe openshift-dev/devel. You can too utilize your Red Hat credentials to login. In the console, they create a unusual project:

    Next, they create a unusual application using one of the built-in ‘Instant Apps’. Instant Apps are predefined application templates that tow specific images. These are an light route to quickly Get 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 utilize the source code from the OpenShift GitHub repository located here. If you want to supervene along with the webhook steps later, you’ll requisite 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 necessary to us – GITHUB_WEBHOOK_SECRET and APPLICATION_DOMAIN:

  • GITHUB_WEBHOOK_SECRET: this domain allows us to create a secret to utilize with the GitHub webhook for automatic builds. You don’t requisite to specify this, but you’ll requisite to recollect the value later if you do.
  • APPLICATION_DOMAIN: this domain will determine where they can access their application. This value must comprise the Top flush 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 utilize it later on.

    OpenShift will then tow the code from GitHub, find the confiscate Docker image in the Red Hat repository, and too 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 search for like this:

    In order to utilize the Landrush plugin, there is additional steps that are required to configure dnsmasq. To conclude that you will requisite 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 requisite 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 requisite a route of routing from the public internet to the Vagrant machine running on your host. An light route to achieve this is to utilize a third party forwarding service such as ultrahook or ngrok. They requisite 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 Go to Settings -> Webhooks & services -> Add webhook. Under Payload URL enter the URL that the forwarding service gave you, plus the secret (if you specified one when setting up the OpenShift project). If your webhook is configured correctly you should see something like this:

    To test out the pipeline, they requisite to invent a change to their project and shove a commit to the repo.

    Any light route to conclude this is to edit the views/index.html file, e.g: (Note that you can too conclude this through the GitHub web interface if you’re feeling lazy). commit and shove this change to the GitHub repo, and they can see a unusual build is triggered automatically within the web console. Once the build completes, if they again open their application they should see the updated front page.

    We now luxuriate in Continuous Deployment configured for their application. Throughout this blog post, we’ve used the OpenShift web interface. However, they could luxuriate in performed the very actions using the OpenShift console (oc) at the command-line. The easiest route 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 breathe deployed to a node together. A pod represents the smallest unit that can breathe deployed and managed in OpenShift. The pod will breathe assigned its own IP address. totality of the containers in the pod will share local storage and networking.

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

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

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the correct 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 unusual code commit (assuming you set-up the GitHub webhooks) OpenShift will update your application. unusual pods will breathe started with the befriend of replication controllers running your unusual application version. The ripen pods will breathe deleted. OpenShift deployments can execute rollbacks and provide various deploy strategies. It’s arduous to overstate the advantages of being able to evade a production environment in development and the efficiencies gained from the speedy feedback cycle of a Continuous Deployment pipeline.

    In this post, they luxuriate in shown how to utilize the Red Hat CDK to achieve both of these goals within a short-time frame and now luxuriate in a Node.js and MongoDB application running in containers, deployed using the OpenShift PaaS. This is a considerable route to quickly Get 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 breathe required to set up the replica set. They will not walk through totality of the steps of setting up Red Hat as this is prerequisite knowledge.

    What they will breathe doing is creating a base 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 too breathe 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 unusual guest image and muster it RHEL Base. They used the following information: a. remembrance 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 breathe to generate unusual ssh keys for the root user and transfer the keys to the guest machine. To conclude that tickle conclude the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. conclude not add a passphrase when requested.  # ssh-keygen
  • You requisite 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 luxuriate in a best practice for doing this. If this is the first guest in your VirtualBox then it should luxuriate in an ip of 10.1.2.101, if it has another ip then you will requisite to supersede for the following. For this blog tickle 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 screen 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 breathe asked for any login information.
  • Once this is complete you can shut down the RHEL base 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 designation 7.2 RH Mongo-DB1.
  • Ensure to click the Reinitialize the MAC Address of totality network cards.
  • Click on Next.
  • Ensure the replete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the designation 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of totality network cards.
  • Click on Next.
  • Ensure the replete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the designation 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of totality network cards.
  • Click on Next.
  • Ensure the replete Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will breathe to configure the hostnames, host-only ip and the host files. They will requisite to too 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 requisite to contact your IT departments on how they manage opening of ports.

    Normally in a production environment, you would luxuriate in the servers in an internal DNS system, however for the sake of this blog they will utilize 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 breathe using will breathe 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 breathe 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 discontinue firewalld # systemctl disable firewalld
  • Edit the hostname using the confiscate values from the table above.  # hostnamectl set-hostname "mongo-db1" --static
  • Edit the hosts file adding the following to etc/hosts, you should too 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 breathe leveraged throughout the development, test, and production lifecycle, with faultfinding functionality ranging from cluster performance monitoring data, alerting, no-downtime upgrades, advanced configuration and scaling, as well as backup and restore. Ops Manager can breathe used to manage up to thousands of part MongoDB clusters in a tenants-per-cluster style — isolating cluster users to specific clusters.

    All major MongoDB Ops Manager actions can breathe driven manually through the user interface or programmatically through the leisure API, where Ops Manager can breathe 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 breathe deployed across a minimum of three hosts in three part availability areas — physical servers, racks, or data centers. The loss of one host will noiseless 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 correct credentials are able to access the cluster. The MongoDB cluster can too utilize SSL/TLS for over the wire encryption.

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

    To utilize Ops Manager with Ansible and OpenShift:

  • Install and utilize 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 invert is not necessary; in other words, Ops Manager does not requisite to breathe able to reach into the managed VMs directly over the network).
  • Spawn servers (VMs) running Red Hat Enterprise Linux, able to reach 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). utilize the Ops Manager UI (or leisure 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 breathe light enough to login and evade the commands as seen in the Ops Manager agent installation information. However they luxuriate in created an ansible playbook that you will requisite 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 base 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 requisite to customize it with the information you gathered from the Ops Manager.

    You will requisite 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 evade 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 evade the playbook you requisite 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 confiscate access rights:

  • Verify that totality of the Ops Manager agents luxuriate in 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 buy a search for at how a team can buy edge of the advanced features of OpenShift in order to automatically slip unusual versions of applications from development to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the flush of automation).

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

    OpenShift integrates well with existing Continuous Integration / Continuous Delivery tools. Jenkins, for example, is available for utilize inside the platform and can breathe 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 point to workflows can breathe 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 breathe using a development environment provisioned in a remote OpenShift cluster.

    To slip code between environments, they can buy edge of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those create on Docker Hub — it is a collection of related images with identifying names or “tags”. An image stream can refer 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 see this in the diagram above — when the developer is ready for their changes to breathe picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will breathe picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who luxuriate in the changed image as a base layer). This can breathe fully automated by the utilize of Jenkins or a similar CI tool; on a check-in to the source control repository, it can evade a test-suite and automatically tag the image if it passes.

    To slip between staging and production they can conclude exactly the very thing — Jenkins or a similar instrument could evade 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 unusual versions. This would breathe lawful 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 noiseless a manual “ok” required before changes hit production. In OpenShift this can breathe easily done by requiring the images in staging to breathe tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s search for at a existent illustration of pushing an application from development to production. They will utilize 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 very OpenShift cluster, but it can breathe easily adapted to allow promotion to another OpenShift instance by using a common registry.

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

    $ oc login -u openshift-dev

    Now we’ll create two unusual 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 breathe their development environment (mlbparks):

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

    After you evade this command you should breathe 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 blank selector and an endpoint. In some cases you can luxuriate in multiple IP addresses assigned to your endpoint and the service will act as a load balancer. This will not toil 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 requisite to create one external service for each node. In their case they luxuriate in three nodes so for illustrative purposes they luxuriate in 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 requisite to evade 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 luxuriate in the endpoints for the external replica set created they can now create the MLB parks using a template. They will utilize 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). totality of the environment variables are in the mlbparks-template.json, so they will first create a template then create their unusual app:

    $ oc create -f https://raw.githubusercontent.com/macurwen/openshift3mlbparks/master/mlbparks-template.json $ oc new-app mlbparks --> Success Build scheduled for "mlbparks" - utilize the logs command to track its progress. evade '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 luxuriate in the application up and running (accessible at the hostname create in the pod of the web ui) built from an image stream.

    We can Get the designation of the image created by the build with the befriend of the narrate command:

    $ oc narrate 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 tow 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 utilize 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 breathe tied to this particular version. If they hadn’t done this, production would automatically track changes to latest, which would comprise untested code.

    To allow the production project to tow the image from the development repository, they requisite to vouchsafe tow rights to the service account associated with production environment. Note that mlbparks-production is the designation of the production project:

    $ oc policy add-role-to-group system:image-puller \ system:serviceaccounts:mlbparks-production \ --namespace=mlbparks To verify that the unusual policy is in place, they can check the rolebindings: $ oc Get 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 luxuriate in an image that can breathe 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 utilize the very 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 piece we’ll breathe using the image stream created in the development project that was tagged “production”:

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

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

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

    We will now demonstrate the talent to both automatically slip unusual items to production, but they will too point to how they can update an application without having to update the MongoDB schema. They luxuriate in 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 unusual build based on the commit “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 unusual element to in their application to breathe persisted to the database, they would requisite to invent the changes in the code as well as luxuriate in 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 = unusual BasicDBObject(); updateQuery.append("$set", unusual BasicDBObject() .append("division", "East")); BasicDBObject searchQuery = unusual BasicDBObject(); searchQuery.append("league", "American League"); parkListCollection.updateMulti(searchQuery, updateQuery);

    Once the build finishes running, a deployment chore will start that will supersede the running container. Once the unusual version is deployed, you should breathe able to see East under Toronto for example.

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

    OK, we’re ecstatic with the change, let’s tag it ready for production. Again, evade oc to Get 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 unusual image to the production environment.

    Rolling back can breathe done in different ways. For this example, they will roll back the production environment by tagging production with the ripen image ID. Find the privilege 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 necessary features for organizations, including source-to-image tooling, image streams, project and user isolation and a web UI. This post showed how these features toil together to provide a complete CD workflow where code can breathe automatically pushed from development through to production combined with the power and capabilities of MongoDB as the backend of altenative for applications.


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

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