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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

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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 consent 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 be would becould very well be your next profession circulate.

The IBM DB2 9 certification procedure

a proximate examination of the IBM certification roles obtainable directly displays that, with the demur to gain a selected DB2 9 certification, you requisite to Take and lag one or greater exams which acquire been designed above total for that certification position. (every exam is a utility-based exam that is neither platform -- nor product-certain.) as a result, once you acquire chosen the certification role you wish to pursue and familiarized your self with the requirements for that unavoidable function, the subsequent step is to prepare for and Take the acceptable certification tests.

making ready for the IBM DB2 9 certification tests

when you acquire suffer the exhaust of DB2 9 within the context of the certification role you acquire chosen, you can also 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 champion you attach together for DB2 9 certification. a list of the classes which are suggested for every certification examination can be create the usage of the Certification Navigator implement offered on IBM's "expert Certification application from IBM " net site. recommended courses can also be 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 attach together you for the DB2 9 Fundamentals exam (examination 730). IBM also 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 also be 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 acquire installed the DB2 9 software. DB2 9 documentation can also be downloaded from IBM's web site in both HTML and PDF codecs. @39202

    Self-analyze books (corresponding to this one) that focus of attention on one or more DB2 9 certification tests/roles are additionally purchasable. most of these books may also be create at your autochthonous bookshop or ordered from many on-line booklet retailers. (a catalogue of feasible reference materials for every certification examination can also be create using the Certification Navigator implement 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 be create as downloadable PDF information on IBM's RedBook internet web page. Or, if you choose to acquire 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 permeate 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 also be create the exhaust of the Certification Navigator implement provided on IBM's "skilled Certification application from IBM" net site. examination aims for the DB2 9 household Fundamentals exam (exam 730) can even be present in Appendix A of this book.

  • sample questions/checks
  • pattern questions and pattern assessments will let you rotate into accepted with the format and wording used on the actual certification exams. they can champion you contour a decision whether you possess the abilities obligatory to pass a particular examination. pattern questions, together with descriptive answers, are supplied at the suspension of each chapter in this booklet and in Appendix B. sample tests for every DB2 9 certification role obtainable can also be 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 be rigorous. Very unavoidable 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 ground of many DB2 9 professionals, you should definitely Take 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 total 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 be trained more.


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    No influence discovered, are attempting novel keyword!Fundamentals of IBM can be reviewed in birthright here issues under ... these days, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it be an outstanding business, but you acquire to be 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 exhaust metaphors to champion illustrate the significance of facts in the commercial enterprise. I’m a huge fan of cooking, so I’ll exhaust the metaphor of a secret sauce. regard 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 exhaust of to contour its secret sauce — improving client relationships, tuning deliver chain operations, starting novel traces of trade and greater.

    extremely censorious statistics flows through and into mainframe statistics retailers. definitely, ninety two of the suitable a hundred banks reliance 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 total bank card transactions are processed in the course of the mainframe.

    Safeguarding Your secret Sauce

    the buzz has been sturdy 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 offer protection to your secret sauce, and the novel convenient-to-use crypto capabilities within the z14 will contour 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. regard about total of the purposes, features and directors as cooks in a kitchen. How can you contour unavoidable that individuals are as it should be following the recipe? How Do you contour sure 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 region and when of entry for DB2, the advice administration device (IMS) and the file gadget. as an instance, through the exhaust of statistics recreation monitoring, you can be capable of inform no matter if the pinnacle chef (i.e., the database or device administrator) is working from a unique area 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 be an illustration that an SQL injection assault is underway. Or probably the software is only poorly written or maintained — in total probability tables were dropped or software privileges acquire modified. This visibility can champion corporations chop back database overhead and possibility by means of bringing these issues to mild.

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

    Automating believe, Compliance and safety

    As a section 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 champion retain your fees and overhead down.

    Your mainframe statistics is precious — it's your secret sauce. As such, it can be 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 elegant 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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    Killexams.com 000-610 Dumps and existent Questions

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    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 average scholar, I were given terrified of the 000-610 exam as subjects seemed very tough to me. butpassing the Take a Look at was a requisite as I had to change the job badly. searched for an clean manual and got one with the dumps. It helped me reply total a couple of benign questions in 200 mins and bypass effectively. What an exquisitequery & solutions, irony dumps! satisfied to accumulate hold of two gives from well-known organizations with handsome bundle. I advise most effective killexams.com


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    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 deliver a lot of time and I was able to complete the entire 75 questions. I also took the champion 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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    Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com existent 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 include integration with the lightning quick validation and processing capabilities of RaptorXML®, champion for Schema 1.1, XPath/XSLT/XQuery 3.0, champion for novel databases and much more. novel features in Altova server products include caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

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    Coinciding with XML Schema 1.1 support, Altova has also 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 include 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 role cells, inline role expressions, and champion for union types to designation just a few. Full champion for novel functions and operators added in XPath 3.0 is available through knowing XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

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

    XSLT 3.0 takes odds 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 be used to trap and recoup from dynamic errors. Other enhancements in XSLT 3.0 include champion for higher order functions and partial functions.

    Story Continues

    As with XSLT and XPath, XMLSpy champion for XQuery now also includes a subset of version 3.0. Developers will now acquire the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other knowing 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 -- total 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 include complete champion for newer versions of previously supported databases, as well as champion 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 offer high-speed automation for projects designed using intimate Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires complicated database queries or needs to contour 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 be 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 be a pleasant 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 trial downloads gladden visit: http://www.altova.com/whatsnew.html

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

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


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

    Current evolution cycles physiognomy many challenges such as an evolving landscape of application architecture (Monolithic to Microservices), the requisite to frequently deploy features, and novel IaaS and PaaS environments. This causes many issues throughout the organization, from the evolution teams total the way to operations and management.

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

    MongoDB is the next-generation database that is built for rapid and iterative application development. Its elastic 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 champion manage a complicated 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 also be 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 evolution 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 also 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 also 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 also seeks to resolve other major unsolved IT challenges.

    We will install the Automation Agent onto the servers that will become section of the MongoDB replica set. The Automation Agent is section 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 supplant or contest with the ground 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 Do 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 be used to manage the lifecycle of a virtual machine. This implement is used for the installation and management of the Red Hat Container evolution 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 accumulate it directly from the Vagrant website. They will exhaust 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 evolution Kit requires a virtualization software stack to execute. In this blog they will exhaust VirtualBox for the virtualization software.

    VirtualBox is best done using a repository to ensure you can accumulate updates. To Do 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 rectify 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 rectify domain:

  • Open VirtualBox, this should be 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 be a vboxnet0 as the network, click on it and click on the edit icon (looks love 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 race the selfsame way on every platform. However, modern microservice deployments typically exhaust a scheduler such as Kubernetes to race 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 evolution Kit (CDK).

    The Red Hat CDK is a customized virtual machine that makes it smooth to race complicated deployments resembling production. This means complicated applications can be developed using production grade tools from the very start, significance developers are unlikely to suffer problems stemming from differences in the evolution 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 depart through the entire workflow. By the suspension of this blog post you will know how to race an application on top of OpenShift and will be intimate with the core features of the CDK and OpenShift. Let’s accumulate started…

    Installing the CDK

    The prerequisites for running the CDK are Vagrant and a virtualization client (VirtualBox, VMware Fusion, libvirt). contour sure 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 evolution 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 champion 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 be 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 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 exhaust the Vagrantfile that comes shipped with the CDK and has champion for OpenShift.

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

    In order to exhaust 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 be 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 be reachable only by IP address from within the VM.

    Save the changes and start the virtual machine :

    $ vagrant up

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

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

    Now that they acquire 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 be 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 be openshift-dev/devel. You can also exhaust 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 draw specific images. These are an smooth way to quickly accumulate 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 exhaust 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 field allows us to create a secret to exhaust with the GitHub webhook for automatic builds. You don’t requisite to specify this, but you’ll requisite to bethink the value later if you do.
  • APPLICATION_DOMAIN: this field will determine where they can access their application. This value must include the Top plane 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 exhaust it later on.

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

    In order to exhaust the Landrush plugin, there is additional steps that are required to configure dnsmasq. To Do that you will requisite to Do 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 way of routing from the public internet to the Vagrant machine running on your host. An smooth way to achieve this is to exhaust 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 depart 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 notice something love this:

    To test out the pipeline, they requisite to contour a change to their project and propel a relegate to the repo.

    Any smooth way to Do this is to edit the views/index.html file, e.g: (Note that you can also Do this through the GitHub web interface if you’re emotion lazy). relegate and propel this change to the GitHub repo, and they can notice a novel build is triggered automatically within the web console. Once the build completes, if they again open their application they should notice the updated front page.

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

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

    Pods

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

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

    For their specimen application, they acquire a Pod running the application. Pods can be scaled up/down from the OpenShift interface.

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the rectify 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 relegate (assuming you set-up the GitHub webhooks) OpenShift will update your application. novel pods will be started with the champion of replication controllers running your novel application version. The archaic pods will be deleted. OpenShift deployments can effect rollbacks and provide various deploy strategies. It’s arduous to overstate the advantages of being able to race a production environment in evolution and the efficiencies gained from the quick feedback cycle of a Continuous Deployment pipeline.

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

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

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

    Please effect the following steps:

  • In VirtualBox create a novel guest image and convoke 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 Do a yum update on the guest RHEL install.

    The final step will be to generate novel ssh keys for the root user and transfer the keys to the guest machine. To Do that gladden Do the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. Do 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 acquire a best rehearse for doing this. If this is the first guest in your VirtualBox then it should acquire an ip of 10.1.2.101, if it has another ip then you will requisite to supplant for the following. For this blog gladden execute the following steps # cd ~/.ssh/ # scp id_rsa.pub 10.1.2.101: # ssh 10.1.2.101 # mkdir .ssh # cat id_rsa.pub > ~/.ssh/authorized_keys # chmod 700 /root/.ssh # chmod 600 /root/.ssh/authorized_keys
  • SELinux may 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 be asked for any login information.
  • Once this is complete you can shut down the RHEL ground 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 total 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 designation 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of total 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 designation 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of total network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will be to configure the hostnames, host-only ip and the host files. They will requisite to also 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 acquire the servers in an internal DNS system, however for the sake of this blog they will exhaust 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 be using will be as follows:

    To Do so on each of the guests Do 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 be 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 cease 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 also Do 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 be leveraged throughout the development, test, and production lifecycle, with censorious functionality ranging from cluster performance monitoring data, alerting, no-downtime upgrades, advanced configuration and scaling, as well as backup and restore. Ops Manager can be used to manage up to thousands of distinct MongoDB clusters in a tenants-per-cluster vogue — isolating cluster users to specific clusters.

    All major MongoDB Ops Manager actions can be driven manually through the user interface or programmatically through the relaxation API, where Ops Manager can be 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 be deployed across a minimum of three hosts in three distinct availability areas — physical servers, racks, or data centers. The loss of one host will still preserve a quorum in the remaining two to ensure always-on availability.

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

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

    To exhaust Ops Manager with Ansible and OpenShift:

  • Install and exhaust 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 requisite to be able to achieve into the managed VMs directly over the network).
  • Spawn servers (VMs) running Red Hat Enterprise Linux, able to achieve 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). exhaust the Ops Manager UI (or relaxation 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 be smooth enough to login and race the commands as seen in the Ops Manager agent installation information. However they acquire 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 ground 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 race 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 race 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 arrogate access rights:

  • Verify that total of the Ops Manager agents acquire 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 evolution Kit (CDK), OpenShift as a local deployment, and OpenShift in production. In this final section, we’re going to Take a Look at how a team can Take odds of the advanced features of OpenShift in order to automatically lag novel versions of applications from evolution to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the plane of automation).

    OpenShift supports different setups depending on organizational requirements. Some organizations may race a completely divide cluster for each environment (e.g. dev, staging, production) and others may exhaust a sole cluster for several environments. If you race a divide OpenShift PaaS for each environment, they will each acquire their own dedicated and isolated resources, which is costly but ensures isolation (a problem with the evolution cluster cannot influence production). However, multiple environments can safely race on one OpenShift cluster through the platform’s champion for resource isolation, which allows nodes to be dedicated to specific environments. This means you will acquire one OpenShift cluster with common masters for total environments, but dedicated nodes assigned to specific environments. This allows for scenarios such as only allowing production projects to race on the more powerful / expensive nodes.

    OpenShift integrates well with existing Continuous Integration / Continuous Delivery tools. Jenkins, for example, is available for exhaust inside the platform and can be easily added to any projects you’re planning to deploy. For this demo however, they will stick to out-of-the-box OpenShift features, to attest workflows can be 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 be using a evolution environment provisioned in a remote OpenShift cluster.

    To lag code between environments, they can Take odds 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 mention to images in Docker repositories (both local and remote) or other image streams. However, the killer feature is that OpenShift will generate notifications whenever an image stream changes, which they can easily configure projects to listen and react to. They can notice this in the diagram above — when the developer is ready for their changes to be picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will be picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who acquire the changed image as a ground layer). This can be fully automated by the exhaust of Jenkins or a similar CI tool; on a check-in to the source control repository, it can race a test-suite and automatically tag the image if it passes.

    To lag between staging and production they can Do exactly the selfsame thing — Jenkins or a similar implement could race 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 be pleasant Continuous Deployment — where a change made in dev will propagate automatically to production without any manual intervention. Many organizations may instead opt for Continuous Delivery — where there is still a manual “ok” required before changes hit production. In OpenShift this can be easily done by requiring the images in staging to be tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s Look at a existent specimen of pushing an application from evolution to production. They will exhaust 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 be easily adapted to allow promotion to another OpenShift instance by using a common registry.

    If you don’t already acquire a working OpenShift instance, you can quickly accumulate started by using the CDK, which they also 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 be their evolution environment (mlbparks):

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

    After you race this command you should be in the context of the evolution 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 acquire multiple IP addresses assigned to your endpoint and the service will act as a load balancer. This will not labor 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 acquire three nodes so for illustrative purposes they acquire 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 race 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 acquire the endpoints for the external replica set created they can now create the MLB parks using a template. They will exhaust 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 arm they use). total 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" - exhaust the logs command to track its progress. race '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 acquire the application up and running (accessible at the hostname create in the pod of the web ui) built from an image stream.

    We can accumulate the designation of the image created by the build with the champion 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 draw 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 exhaust 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 be tied to this particular version. If they hadn’t done this, production would automatically track changes to latest, which would include untested code.

    To allow the production project to draw the image from the evolution repository, they requisite to grant draw 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 novel policy is in place, they can check the rolebindings: $ oc accumulate 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 acquire an image that can be 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 exhaust 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 section we’ll be using the image stream created in the evolution 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 be deployed in deployment config "mlbparks" * Port 8080/tcp will be load balanced by service "mlbparks" --> Creating resources with label app=mlbparks ... DeploymentConfig "mlbparks" created Service "mlbparks" created --> Success race '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 talent to both automatically lag novel items to production, but they will also attest how they can update an application without having to update the MongoDB schema. They acquire created a arm 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 evolution project:

    $ oc project mlbparks Now using project "mlbparks" on server "https://10.1.2.2:8443". And start a novel build based on the relegate “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 ingredient to in their application to be persisted to the database, they would requisite to contour the changes in the code as well as acquire 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 job will start that will supplant the running container. Once the novel version is deployed, you should be able to notice East under Toronto for example.

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

    OK, we’re providential with the change, let’s tag it ready for production. Again, race oc to accumulate 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 be done in different ways. For this example, they will roll back the production environment by tagging production with the archaic image ID. Find the birthright 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 labor together to provide a complete CD workflow where code can be automatically pushed from evolution through to production combined with the power and capabilities of MongoDB as the backend of selection for applications.


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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
    Our ISBN10 : 129217613X
    Our ISBN13 : 9781292176130
    Subject : Business & Economics
    Price : $75.00
    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
    Our ISBN13 : 9781292220611
    Subject : Computer Science & Technology
    Price : $65.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $39.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
    ISBN13 : 9780078021787
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $65.00
    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    000-610000-610
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    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    000-610000-610
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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