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000-610 exam Dumps Source : DB2 10.1 Fundamentals

Test Code : 000-610
Test name : DB2 10.1 Fundamentals
Vendor name : IBM
: 138 true Questions

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000-610 is the toughest examination ive ever compass across. I spent months reading for it, with each and every legitimate belongings and the entire lot one fill to determine - 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 wish I hadnt wasted the money and time on each and every this unnecessary stuff (their books arent horrible in wellknown, but I accept as genuine with they dont provide you with the property examination training).


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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 ebook, written via Roger E. Sanders, is reprinted with permission 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 nigh examination of the IBM certification roles obtainable directly displays that, with the goal to gain a selected DB2 9 certification, you necessity to bewitch and wobble one or greater exams which fill been designed above each and every for that certification position. (every exam is a utility-based exam that is neither platform -- nor product-certain.) as a result, once you fill chosen the certification duty you wish to pursue and familiarized your self with the requirements for that inescapable function, the subsequent step is to prepare for and bewitch the acceptable certification tests.

making ready for the IBM DB2 9 certification tests

when you fill sustain the consume of DB2 9 within the context of the certification role you fill chosen, you can likewise 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 succor you station together for DB2 9 certification. a list of the classes which are suggested for every certification examination can breathe organize the usage of the Certification Navigator tool offered on IBM's "expert Certification application from IBM " net site. recommended courses can likewise 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 station together you for the DB2 9 Fundamentals exam (examination 730). IBM likewise 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 pile examination (exam 733).

  • Publications
  • the entire information you necessity to circulate any of the obtainable certification assessments may likewise 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 fill installed the DB2 9 software. DB2 9 documentation can likewise breathe downloaded from IBM's web site in both HTML and PDF codecs. @39202

    Self-analyze books (corresponding to this one) that center of attention on one or more DB2 9 certification tests/roles are additionally purchasable. most of these books may likewise breathe organize at your indigenous bookshop or ordered from many on-line booklet retailers. (a catalogue of feasible reference materials for every certification examination can likewise breathe organize using the Certification Navigator tool 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 subject matters (as well as other topics). These manuals can breathe organize as downloadable PDF information on IBM's RedBook internet web page. Or, if you elect to fill a bound tough replica, that you could garner one for a modest fee by using following the applicable links on the RedBook web web site. (There is no charge for the downloadable PDF data.)

  • exam ambitions
  • objectives that give an outline of the simple topics that are coated on a selected certification exam can likewise breathe organize the consume of the Certification Navigator tool 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 swirl into accepted with the format and wording used on the actual certification exams. they can succor you build a conclusion whether you possess the abilities obligatory to pass a particular examination. pattern questions, together with descriptive answers, are supplied at the respite of each chapter in this booklet and in Appendix B. sample tests for every DB2 9 certification duty obtainable can likewise 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 charge for each examination taken.

    it's crucial to notice that the certification checks are designed to breathe rigorous. Very inescapable 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 foundation of many DB2 9 professionals, you should definitely bewitch 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 each and every 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.


    IBM: income Play With Very negative complete revert | killexams.com true Questions and Pass4sure dumps

    No influence discovered, are attempting novel keyword!Fundamentals of IBM can breathe reviewed in perquisite 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 fill to breathe di...

    Mainframe statistics Is Your stealthy Sauce: A Recipe for records insurance procedure | killexams.com true Questions and Pass4sure dumps

    Mainframe data Is Your stealthy 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 stealthy Sauce: A Recipe for statistics insurance policy on Twitter partake Mainframe records Is Your stealthy Sauce: A Recipe for information insurance policy on facebook partake Mainframe information Is Your stealthy Sauce: A Recipe for data protection on LinkedIn

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

    extremely critical 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 each and every bank card transactions are processed in the course of the mainframe.

    Safeguarding Your stealthy Sauce

    the buzz has been tough 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 tender protection to your stealthy sauce, and the novel convenient-to-use crypto capabilities within the z14 will build 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. contemplate about each and every of the purposes, features and directors as cooks in a kitchen. How can you build inescapable that individuals are as it should breathe following the recipe? How execute you build certain that they aren’t jogging off together with your stealthy 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 station and when of entry for DB2, the recommendation administration device (IMS) and the file gadget. as an instance, through the consume 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 oversight 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 each and every probability tables were dropped or software privileges fill modified. This visibility can back corporations carve back database overhead and possibility by means of bringing these issues to mild.

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

    Automating believe, Compliance and safety

    As a allotment 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 stealthy 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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  • protection Intelligence Podcast Share this article: Share Mainframe data Is Your stealthy Sauce: A Recipe for records protection on Twitter partake Mainframe facts Is Your stealthy Sauce: A Recipe for data protection on facebook partake Mainframe statistics Is Your stealthy Sauce: A Recipe for information insurance procedure on LinkedIn more on records coverage Security leader researching current security trends. ArticleWhy the european Is extra likely to power IT and security tendencies Than the U.S. Illustration of retail cybersecurity PodcastExamining the status of Retail Cybersecurity ahead of the 2018 holiday Season A woman using a laptop in a cafe: virtual private network ArticleHow to boost Your facts privateness With a digital deepest network Computer with a search engine open in a web browser: SEO poisoning ArticleHow search engine optimization Poisoning Campaigns Are Mounting a Comeback


    Killexams.com 000-610 Dumps and true Questions

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    000-610 exam Dumps Source : DB2 10.1 Fundamentals

    Test Code : 000-610
    Test name : DB2 10.1 Fundamentals
    Vendor name : IBM
    : 138 true Questions

    actually remarkable experience! with 000-610 actual test questions.
    Being an underneath mediocre scholar, I were given terrified of the 000-610 exam as subjects seemed very tough to me. butpassing the bewitch a notice at was a necessity as I had to change the chore badly. searched for an immaculate manual and got one with the dumps. It helped me reply each and every a pair of benevolent questions in 200 mins and bypass effectively. What an exquisitequery & solutions, intellect dumps! satisfied to score hold of two gives from well-known organizations with handsome bundle. I counsel most efficient 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 extravagant amount of worried about my 000-610 examination this website assist me masses for scoring excessive. As every corpse is awake of that 000-610 certification is an extravagant amount of tough however for me it become no longer an extravagant amount of hard, as I had 000-610 cloth in my hand. After experiencing such dependable material I suggested to each and every the college students to predispose 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 understanding 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 bewitch the exam. Being familiar with the provided cloth I passed my examination with ninety two%. I never scored this a kindly deal tag in any examination. its miles nicely understanding out, efficient and dependable to apply. thank you for imparting a dynamic material for the mastering.


    i discovered a terrific location for 000-610 question fiscal institution.
    In the exam most of the questions were selfsame to killexams.com material, which helped me to save a lot of time and I was able to complete the entire 75 questions. I likewise took the succor 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.


    found each and every 000-610 Questions in dumps that I saw in actual bewitch a notice at.
    It changed into a very brief preference to fill killexams.Com QA as my fill a notice at associate for 000-610. I couldnt manage my happiness as I began seeing the questions about screen; they fill been fancy copied questions from killexams.Com dumps, so correct. This helped me to skip with 97% within sixty five mins into the exam.


    actual 000-610 exam questions to pass at first strive.
    000-610 is the toughest examination ive ever compass across. I spent months reading for it, with each and every legitimate belongings and the entire lot one fill to determine - 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 wish I hadnt wasted the money and time on each and every this unnecessary stuff (their books arent horrible in wellknown, but I accept as genuine with they dont provide you with the property examination training).


    Take a perspicacious pass, garner those 000-610 questions and solutions.
    Found out this kindly source after a long time. Everyone here is cooperative and competent. Team provided me very kindly 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 fill the funds for signing up for full-time guides (thats a consume of time and money in case you inquire from me! specifically if you fill Killexams). if you fill been thinking, the questions are actual!


    Feeling pains in passing 000-610 exam? bank is here.
    killexams.com is the outstanding IT examination practise I ever came across: I surpassed this 000-610 examination with out issues. Not only are the questions actual, however they will breathe primarily based the manner 000-610 does it, so its very smooth to endure in intellect the solution while the questions arise at some stage in the exam. Now not they each and every are a hundred% equal, but many are. The relaxation is in reality very similar, so if you fill a fill a notice at the killexams.com materials properly, youll dont fill any problem sorting it out. Its very icy and useful to IT specialists fancy myself.


    tremendous source of awesome dumps, accurate answers.
    The inquiries are valid. basically indistinguishable to the 000-610 exam which I exceeded in just 30 minutes of the time. If not indistinguishable, a notable deal of stuff is very plenty alike, so you can triumph over it furnished for you had invested enough planning electricity. i used to breathe a bit cautious; but killexams.com and examination Simulator has turned out to breathe a solid hotspot for examination readiness illumination. Profoundly proposed. thanks a lot.


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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 comprehend integration with the lightning lickety-split validation and processing capabilities of RaptorXML®, back for Schema 1.1, XPath/XSLT/XQuery 3.0, back for novel databases and much more. novel features in Altova server products comprehend caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

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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 novel features.

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

    Coinciding with XML Schema 1.1 support, Altova has likewise 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 comprehend the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful novel functionality such as: dynamic duty cells, inline duty expressions, and back for union types to name just a few. Full back for novel functions and operators added in XPath 3.0 is available through bright 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. gratify note that a subset of XSLT 3.0 is supported since the benchmark is soundless 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 competence to start working with this novel version immediately.

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

    Story Continues

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

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the novel functions and operators added in XPath 3.0, such as a novel string concatenation operator, map operator, math functions, sequence processing, and more -- each and every 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 comprehend complete back for newer versions of previously supported databases, as well as back for novel 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 novel 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 trade processes, while MapForce Server and StyleVision Server tender high-speed automation for projects designed using familiar 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 build its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to obviate 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 kindly 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 novel features, supported standards, and crucible downloads gratify 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 progress tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software progress teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is disdainful 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 true questions and Pass4sure dumps

    Current progress cycles visage many challenges such as an evolving landscape of application architecture (Monolithic to Microservices), the necessity to frequently deploy features, and novel IaaS and PaaS environments. This causes many issues throughout the organization, from the progress teams each and every the pass to operations and management.

    In this blog post, they will expose 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 effortless it is to execute agile application progress 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 succor 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 likewise 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 sustain within a stable, secure, and scalable operating system. Application lifecycle management and agile application progress tooling extend 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 follow 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 likewise 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 likewise 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 likewise seeks to resolve other major unsolved IT challenges.

    We will install the Automation Agent onto the servers that will become allotment of the MongoDB replica set. The Automation Agent is allotment 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 replace or combat with the foundation 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 execute 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 tool is used for the installation and management of the Red Hat Container progress Kit.

    Vagrant is not included in any benchmark repository, so they will necessity to install it. You can install Vagrant by enabling the SCLO repository or you can score 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 progress 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 score updates. To execute this you will necessity to follow 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 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 fancy 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 flee the selfsame pass on every platform. However, modern microservice deployments typically consume a scheduler such as Kubernetes to flee 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 progress Kit (CDK).

    The Red Hat CDK is a customized virtual machine that makes it effortless to flee involved deployments resembling production. This means involved applications can breathe developed using production grade tools from the very start, signification developers are unlikely to sustain problems stemming from differences in the progress 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 retrograde through the entire workflow. By the respite of this blog post you will know how to flee an application on top of OpenShift and will breathe familiar with the core features of the CDK and OpenShift. Let’s score started…

    Installing the CDK

    The prerequisites for running the CDK are Vagrant and a virtualization client (VirtualBox, VMware Fusion, libvirt). build certain 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 progress Kit’ under Product Variant, and the arrogate 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 succor 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 novel 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 name 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 back 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 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 fill 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 likewise score a private Docker registry for storing images. Docker, Kubernetes, OpenShift and Atomic App CLIs are likewise installed.

    Now that they fill 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 likewise consume your Red Hat credentials to login. In the console, they create a novel project:

    Next, they create a novel application using one of the built-in ‘Instant Apps’. Instant Apps are predefined application templates that tow specific images. These are an effortless pass to quickly score 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 follow 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 critical to us – GITHUB_WEBHOOK_SECRET and APPLICATION_DOMAIN:

  • GITHUB_WEBHOOK_SECRET: this realm allows us to create a stealthy to consume with the GitHub webhook for automatic builds. You don’t necessity to specify this, but you’ll necessity to recollect the value later if you do.
  • APPLICATION_DOMAIN: this realm will determine where they can access their application. This value must comprehend 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 tow the code from GitHub, find the arrogate Docker image in the Red Hat repository, and likewise 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 notice fancy this:

    In order to consume the Landrush plugin, there is additional steps that are required to configure dnsmasq. To execute that you will necessity to execute 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 pass of routing from the public internet to the Vagrant machine running on your host. An effortless pass 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 retrograde to Settings -> Webhooks & services -> Add webhook. Under Payload URL enter the URL that the forwarding service gave you, plus the stealthy (if you specified one when setting up the OpenShift project). If your webhook is configured correctly you should remark something fancy this:

    To test out the pipeline, they necessity to build a change to their project and thrust a commit to the repo.

    Any effortless pass to execute this is to edit the views/index.html file, e.g: (Note that you can likewise execute this through the GitHub web interface if you’re feeling lazy). commit and thrust this change to the GitHub repo, and they can remark a novel build is triggered automatically within the web console. Once the build completes, if they again open their application they should remark the updated front page.

    We now fill Continuous Deployment configured for their application. Throughout this blog post, we’ve used the OpenShift web interface. However, they could fill performed the selfsame actions using the OpenShift console (oc) at the command-line. The easiest pass 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. each and every of the containers in the pod will partake local storage and networking.

    A pod lifecycle is defined, deploy to node, flee 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 specimen application, they fill 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 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 novel code commit (assuming you set-up the GitHub webhooks) OpenShift will update your application. novel pods will breathe started with the succor of replication controllers running your novel application version. The faded pods will breathe deleted. OpenShift deployments can fulfill rollbacks and provide various deploy strategies. It’s difficult to overstate the advantages of being able to flee a production environment in progress and the efficiencies gained from the lickety-split feedback cycle of a Continuous Deployment pipeline.

    In this post, they fill shown how to consume the Red Hat CDK to achieve both of these goals within a short-time frame and now fill a Node.js and MongoDB application running in containers, deployed using the OpenShift PaaS. This is a considerable pass to quickly score 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 each and every of the steps of setting up Red Hat as this is prerequisite knowledge.

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

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

    Please fulfill the following steps:

  • In VirtualBox create a novel guest image and convene it RHEL Base. They used the following information: a. reminiscence 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 execute a yum update on the guest RHEL install.

    The final step will breathe to generate novel ssh keys for the root user and transfer the keys to the guest machine. To execute that gratify execute the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. execute 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 fill a best exercise for doing this. If this is the first guest in your VirtualBox then it should fill an ip of 10.1.2.101, if it has another ip then you will necessity to replace for the following. For this blog gratify 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 obstruct 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 foundation 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 name 7.2 RH Mongo-DB1.
  • Ensure to click the Reinitialize the MAC Address of each and every 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 name 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of each and every 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 name 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of each and every network cards.
  • Click on Next.
  • Ensure the complete 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 necessity to likewise 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 fill 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 breathe using will breathe as follows:

    To execute so on each of the guests execute 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 stop firewalld # systemctl disable firewalld
  • Edit the hostname using the arrogate values from the table above.  # hostnamectl set-hostname "mongo-db1" --static
  • Edit the hosts file adding the following to etc/hosts, you should likewise execute 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 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 breathe used to manage up to thousands of several MongoDB clusters in a tenants-per-cluster vogue — 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 several availability areas — physical servers, racks, or data centers. The loss of one host will soundless 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 likewise consume 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 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 transpose is not necessary; in other words, Ops Manager does not necessity to breathe 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 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 effortless enough to login and flee the commands as seen in the Ops Manager agent installation information. However they fill 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 foundation 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 flee 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 flee 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 arrogate access rights:

  • Verify that each and every of the Ops Manager agents fill 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 progress Kit (CDK), OpenShift as a local deployment, and OpenShift in production. In this final section, we’re going to bewitch a notice at how a team can bewitch advantage of the advanced features of OpenShift in order to automatically wobble novel versions of applications from progress 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 flee a completely part cluster for each environment (e.g. dev, staging, production) and others may consume a unique cluster for several environments. If you flee a part OpenShift PaaS for each environment, they will each fill their own dedicated and isolated resources, which is costly but ensures isolation (a problem with the progress cluster cannot influence production). However, multiple environments can safely flee 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 fill one OpenShift cluster with common masters for each and every environments, but dedicated nodes assigned to specific environments. This allows for scenarios such as only allowing production projects to flee 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 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 expose 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 progress environment provisioned in a remote OpenShift cluster.

    To wobble code between environments, they can bewitch advantage of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those organize 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 remark 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 fill the changed image as a foundation layer). This can breathe fully automated by the consume of Jenkins or a similar CI tool; on a check-in to the source control repository, it can flee a test-suite and automatically tag the image if it passes.

    To wobble between staging and production they can execute exactly the selfsame thing — Jenkins or a similar tool could flee 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 novel versions. This would breathe genuine 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 soundless 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 notice at a true specimen of pushing an application from progress 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 specimen assumes that both environments are hosted on the selfsame 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 fill a working OpenShift instance, you can quickly score started by using the CDK, which they likewise covered in an earlier blogpost. Start by logging in to OpenShift using your credentials:

    $ oc login -u openshift-dev

    Now we’ll create two novel 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 progress environment (mlbparks):

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

    After you flee this command you should breathe in the context of the progress 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 bare selector and an endpoint. In some cases you can fill 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 fill three nodes so for illustrative purposes they fill 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 flee 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 fill 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 offshoot they use). each and every of the environment variables are in the mlbparks-template.json, so they will first create a template then create their novel 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. flee 'oc status' to view your app.

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

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

    We can score the name of the image created by the build with the succor of the portray command:

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

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

    $ oc policy add-role-to-group system:image-puller \ system:serviceaccounts:mlbparks-production \ --namespace=mlbparks To verify that the novel policy is in place, they can check the rolebindings: $ oc score 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 fill 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 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 allotment we’ll breathe using the image stream created in the progress project that was tagged “production”:

    $ oc new-app mlbparks/mlbparks:production --> organize 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 flee '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 wobble novel items to production, but they will likewise expose how they can update an application without having to update the MongoDB schema. They fill created a offshoot 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 progress project:

    $ oc project mlbparks Now using project "mlbparks" on server "https://10.1.2.2:8443". And start a novel 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 novel element to in their application to breathe persisted to the database, they would necessity to build the changes in the code as well as fill a DBA manually update the schema at the database. The following code is an specimen of how they can modify the application code without manually making changes to the MongoDB schema.

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

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

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

    OK, we’re ecstatic with the change, let’s tag it ready for production. Again, flee oc to score 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 novel 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 faded image ID. Find the perquisite 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 critical 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 breathe automatically pushed from progress through to production combined with the power and capabilities of MongoDB as the backend of preference for applications.


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    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
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    XML-Master [3 Certification Exam(s) ]
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