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C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

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

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IBM IBM DB2 10.1 Fundamentals

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

right here excerpt from DB2 9 Fundamentals: Certification anatomize book, written with the aid of Roger E. Sanders, is reprinted with consent from MC Press. study the complete Chapter 1, A ebook to the IBM DB2 9 certification examination if you suppose taking a DB2 9 Fundamentals certification examination can subsist your subsequent profession flow.

The IBM DB2 9 certification process

an in depth examination of the IBM certification roles obtainable right away displays that, with a view to gleam a specific DB2 9 certification, you ought to capture and circulate one or extra tests that occupy been designed specially for that certification role. (each examination is a software-based exam this is neither platform -- nor product-certain.) consequently, after you occupy chosen the certification position you want to pursue and familiarized yourself with the requirements for that selected function, the subsequent step is to deliver together for and capture the applicable certification assessments.

making ready for the IBM DB2 9 certification exams

in case you occupy undergo the usage of DB2 9 within the context of the certification duty you've got chosen, you may additionally already possess the expertise and expertise vital to flood the examination(s) required for that role. besides the fact that children, if your journey with DB2 9 is proscribed (and although it isn't), that you may deliver together for any of the certification checks purchasable through taking lore of right here components:

  • Formal education
  • IBM researching features presents lessons that are designed to champion you prepare for DB2 9 certification. a listing of the classes which are informed for each and every certification examination may furthermore subsist establish the usage of the Certification Navigator tool offered on IBM's "expert Certification program from IBM " net site. suggested lessons can furthermore subsist establish at IBM's "DB2 information administration" net site. For extra tips on course schedules, areas, and pricing, contact IBM learning services or contend with their web web page.

  • online tutorials
  • IBM offers a chain of seven interactive online tutorials designed to prepare you for the DB2 9 Fundamentals examination (examination 730). IBM furthermore presents a sequence of interactive on-line tutorials designed to deliver together you for the DB2 9 for Linux, UNIX, and windows Database Administration examination (examination 731) and the DB2 9 family unit utility construction examination (exam 733).

  • Publications
  • all of the advice you deserve to plod any of the purchasable certification tests can subsist present in the documentation that is provided with DB2 9. an entire set of manuals comes with the product and are obtainable during the assistance core after you occupy deliver in the DB2 9 utility. DB2 9 documentation can even subsist downloaded from IBM's web web page in each HTML and PDF formats. @39202

    Self-study books (such as this one) that focal point on one or more DB2 9 certification checks/roles are furthermore accessible. each one of these books will furthermore subsist establish at your aboriginal bookshop or ordered from many on-line engage marketers. (a list of viable reference materials for every certification exam can subsist establish using the Certification Navigator device provided on IBM's "professional Certification application from IBM" net website.)

    apart from the DB2 9 product documentation, IBM often produces manuals, referred to as "RedBooks," that cover superior DB2 9 issues (in addition to different issues). These manuals can subsist establish as downloadable PDF information on IBM's RedBook web web page. Or, if you prefer to occupy a sure arduous replica, that you can acquire one for a modest fee via following the applicable links on the RedBook web web page. (There isn't any can charge for the downloadable PDF data.)

  • examination targets
  • targets that supply an overview of the fundamental subject matters which are lined on a selected certification exam can subsist discovered the utilize of the Certification Navigator tool supplied on IBM's "professional Certification application from IBM" internet web site. exam goals for the DB2 9 family unit Fundamentals exam (examination 730) can even subsist establish in Appendix A of this e-book.

  • pattern questions/tests
  • sample questions and pattern exams will let you revolve into conventional with the layout and wording used on the genuine certification assessments. they could aid you produce a conclusion whether you possess the potential obligatory to circulate a specific examination. sample questions, along with descriptive solutions, are offered at the conclude of every chapter in this e-book and in Appendix B. sample checks for each and every DB2 9 certification position accessible can subsist discovered the usage of the Certification examination device provided on IBM's "knowledgeable Certification software from IBM" web website. there's a $10 can charge for each exam taken.

    it's crucial to notice that the certification exams are designed to subsist rigorous. Very specific solutions are anticipated for many exam questions. on account of this, and since the latitude of cloth lined on a certification examination is always broader than the potential foundation of many DB2 9 gurus, you should capture capabilities of the examination training materials accessible in case you are looking to assure your success in acquiring the certification(s) you desire.

  • The leisure of this chapter details total attainable DB2 9 certifications and includes lists of cautioned gadgets to know before taking the examination. It furthermore describes the structure of the tests and what to are expecting on exam day. study the finished Chapter 1: A e engage to the IBM DB2 9 certification exam to learn greater.


    IBM: earnings Play With Very poverty-stricken complete recrudesce | killexams.com true Questions and Pass4sure dumps

    No outcome discovered, are trying fresh keyword!Fundamentals of IBM will subsist reviewed in right here themes under ... lately, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it's a very honorable enterprise, however you should subsist di...

    Mainframe facts Is Your surreptitious Sauce: A Recipe for data insurance draw | killexams.com true Questions and Pass4sure dumps

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

    Bigstock

    Share Mainframe statistics Is Your surreptitious Sauce: A Recipe for statistics insurance policy on Twitter partake Mainframe data Is Your surreptitious Sauce: A Recipe for records protection on facebook partake Mainframe facts Is Your surreptitious Sauce: A Recipe for facts insurance policy on LinkedIn

    We within the security container fancy to utilize metaphors to aid illustrate the magnitude of data in the commercial enterprise. I’m a expansive fan of cooking, so I’ll utilize the metaphor of a surreptitious sauce. feel about it: each and every transaction truly reflects your corporation’s entertaining relationship with a customer, supplier or accomplice. via sheer volume by myself, mainframe transactions supply a huge variety of parts that your solid uses to produce its surreptitious sauce — improving consumer relationships, tuning provide chain operations, rise fresh lines of company and greater.

    extraordinarily vital records flows via and into mainframe statistics outlets. basically, 92 of the loyal 100 banks signify on the mainframe because of its pace, scale and security. additionally, greater than 29 billion ATM transactions are processed per 12 months, and 87 p.c of total credit card transactions are processed during the mainframe.

    Safeguarding Your surreptitious Sauce

    the excitement has been robust for the coincident IBM z14 announcement, which contains pervasive encryption, tamper-responding key administration and even encrypted application program interfaces (APIs). The velocity and scale of the pervasive encryption solution is breathtaking.

    Encryption is a simple technology to protect your surreptitious sauce, and the brand fresh convenient-to-use crypto capabilities within the z14 will produce encryption a no brainer.

    With total the exhilaration round pervasive encryption, notwithstanding, it’s requisite not to fail to spot another ingredient that’s requisite for data security: information exercise monitoring. imagine the entire applications, capabilities and administrators as cooks in a kitchen. How are you able to ensure that people are accurately following the recipe? How achieve you produce sure that they aren’t running off along with your surreptitious sauce and creating aggressive recipes or selling it on the black market?

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

    facts coverage and endeavor Monitoring

    information undertaking monitoring gives insights into access habits — that is, the who, what, the situation and when of access for DB2, the counsel management apparatus (IMS) and the file device. as an example, by using information endeavor monitoring, you would subsist in a position to inform no matter if the pinnacle chef (i.e., the database or device administrator) is working from a special region or working irregular hours.

    furthermore, records activity monitoring raises the visibility of unusual error situations. If an application begins throwing a few extraordinary database errors, it may subsist an illustration that an SQL injection storm is underway. Or might subsist the software is just poorly written or maintained — possibly tables were dropped or application privileges occupy changed. This visibility can aid agencies lop back database overhead and chance by bringing these issues to mild.

    Then there’s compliance, total and sundry’s favourite subject. You need to subsist in a position to prove to auditors that compliance mandates are being followed, even if that comprises monitoring privileged clients, not enabling unauthorized database alterations or monitoring total entry to payment card trade (PCI) records. With the european’s widely wide-spread records insurance policy law (GDPR) set to capture upshot in may furthermore 2018, the stakes are even bigger.

    Automating occupy confidence, Compliance and security

    As fraction of a complete statistics coverage strategy for the mainframe, IBM safety Guardium for z/OS offers exact, granular, precise-time exercise monitoring capabilities in addition to true-time alerting, out-of-the-container compliance reporting and tons more. The newest unencumber, 10.1.three, provides facts insurance draw improvements as well as performance advancements to assist maintain your costs and overhead down.

    Your mainframe data is precious — it's your surreptitious sauce. As such, it's going to subsist saved under lock and key, and monitored normally.

    To learn extra about monitoring and preserving data in mainframe environments, watch their on-demand webinar, “Your Mainframe ambiance Is a Treasure Trove: Is Your elegant records included?”

    Tags: Compliance | statistics insurance plan | Encryption | Mainframe | Mainframe protection | fee Card trade (PCI) Kathryn Zeidenstein

    technology Evangelist and community advocate, IBM safety Guardium

    Kathryn Zeidenstein is a expertise evangelist and neighborhood advocate for IBM protection Guardium facts coverage... 13 Posts What’s new
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  • protection Intelligence Podcast Share this article: Share Mainframe records Is Your surreptitious Sauce: A Recipe for records protection on Twitter partake Mainframe data Is Your surreptitious Sauce: A Recipe for statistics coverage on fb partake Mainframe information Is Your surreptitious Sauce: A Recipe for records insurance policy on LinkedIn greater on records coverage Security leader researching current security trends. ArticleWhy the eu Is extra more likely to drive IT and protection traits Than the U.S. Illustration of retail cybersecurity PodcastExamining the state of Retail Cybersecurity ahead of the 2018 smash Season A woman using a laptop in a cafe: virtual private network ArticleHow to enhance Your data privateness With a digital inner most community Computer with a search engine open in a web browser: SEO poisoning ArticleHow search engine marketing Poisoning Campaigns Are Mounting a Comeback


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    C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

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

    So light preparation of C2090-610 exam with this question bank.
    Its a very useful platform for operating experts fancy us to exercising the query economic institutionanywhere. Im very an abominable lot grateful to you humans for growing this kind of extraordinary exercise questions which turned into very useful to me in the remaining days of examinations. I occupy secured 88% marks in C2090-610 exam and the revision exercise exams helped me plenty. My conception is that gladden expand an android app in order that human beingslike us can exercise the checks while visiting moreover.


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    DB2 10.1 Fundamentals

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

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

    A few of the fresh features available in Altova MissionKit 2014 include:

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

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

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

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

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

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

    Support for XPath in XMLSpy 2014 has been updated to comprise the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful fresh functionality such as: dynamic duty cells, inline duty expressions, and champion for union types to name just a few. Full champion for fresh functions and operators added in XPath 3.0 is available through intellectual 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 criterion is soundless 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 competence to start working with this fresh version immediately.

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

    Story Continues

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

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the fresh functions and operators added in XPath 3.0, such as a fresh 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 comprise complete champion for newer versions of previously supported databases, as well as champion for fresh 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 fresh 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 proffer 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 knotty database queries or needs to produce its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to prevent these delays. The cached data can then subsist 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 subsist a honorable 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 fresh features, supported standards, and affliction 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 haughty to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

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


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

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

    In this blog post, they will prove 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 light it is to achieve agile application evolution with MongoDB and OpenShift.

    MongoDB is the next-generation database that is built for rapid and iterative application development. Its flexible 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 aid manage a knotty environment. Ops Manager tracks 100+ key database and systems health metrics including operations counters, CPU utilization, replication status, and any node status. The metrics are securely reported to Ops Manager where they are processed and visualized. Ops Manager can furthermore subsist 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 undergo within a stable, secure, and scalable operating system. Application lifecycle management and agile application evolution tooling enlarge 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 need to meet a number of requirements. You will need a system with 16 GB of RAM and a RHEL 7.2 Server (we used an instance with a GUI for simplicity). The following software is furthermore required:

  • Ansible
  • Vagrant
  • VirtualBox
  • Ansible Install

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

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

    In order to install Ansible using yum you will need 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 conflict 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 need 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 need to achieve 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 subsist used to manage the lifecycle of a virtual machine. This tool is used for the installation and management of the Red Hat Container evolution Kit.

    Vagrant is not included in any criterion repository, so they will need to install it. You can install Vagrant by enabling the SCLO repository or you can procure it directly from the Vagrant website. They will utilize the latter approach:

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

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

    VirtualBox is best done using a repository to ensure you can procure updates. To achieve this you will need 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 revise 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 revise domain:

  • Open VirtualBox, this should subsist 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 subsist 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 accelerate the selfsame route on every platform. However, modern microservice deployments typically utilize a scheduler such as Kubernetes to accelerate 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 light to accelerate knotty deployments resembling production. This means knotty applications can subsist developed using production grade tools from the very start, meaning developers are unlikely to undergo 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 Go through the entire workflow. By the conclude of this blog post you will know how to accelerate an application on top of OpenShift and will subsist intimate with the core features of the CDK and OpenShift. Let’s procure started…

    Installing the CDK

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

    Start by going to Red Hat Product Downloads (note that you will need 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 aid 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 subsist used to register the fresh 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 utilize 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 utilize the landrush plugin to configure the DNS they need 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 need to subsist 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 subsist reachable only by IP address from within the VM.

    Save the changes and start the virtual machine :

    $ vagrant up

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

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

    Now that they occupy 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 subsist 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 subsist openshift-dev/devel. You can furthermore utilize your Red Hat credentials to login. In the console, they create a fresh project:

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

    For this application, they will utilize the source code from the OpenShift GitHub repository located here. If you want to follow along with the webhook steps later, you’ll need 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 requisite to us – GITHUB_WEBHOOK_SECRET and APPLICATION_DOMAIN:

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

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

    In order to utilize the Landrush plugin, there is additional steps that are required to configure dnsmasq. To achieve that you will need to achieve 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 need 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 need a route of routing from the public internet to the Vagrant machine running on your host. An light route to achieve this is to utilize a third party forwarding service such as ultrahook or ngrok. They need to set up a URL in the service that forwards traffic through a tunnel to the webhook URL they copied earlier.

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

    To test out the pipeline, they need to produce a change to their project and propel a consign to the repo.

    Any light route to achieve this is to edit the views/index.html file, e.g: (Note that you can furthermore achieve this through the GitHub web interface if you’re emotion lazy). consign and propel this change to the GitHub repo, and they can contemplate a fresh build is triggered automatically within the web console. Once the build completes, if they again open their application they should contemplate the updated front page.

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

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

    Pods

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

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

    For their case application, they occupy a Pod running the application. Pods can subsist scaled up/down from the OpenShift interface.

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the revise 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 fresh code consign (assuming you set-up the GitHub webhooks) OpenShift will update your application. fresh pods will subsist started with the aid of replication controllers running your fresh application version. The passe pods will subsist deleted. OpenShift deployments can discharge rollbacks and provide various deploy strategies. It’s arduous to overstate the advantages of being able to accelerate a production environment in evolution and the efficiencies gained from the quick feedback cycle of a Continuous Deployment pipeline.

    In this post, they occupy shown how to utilize the Red Hat CDK to achieve both of these goals within a short-time frame and now occupy a Node.js and MongoDB application running in containers, deployed using the OpenShift PaaS. This is a mighty route to quickly procure 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 subsist 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 subsist doing is creating a foundation RHEL 7.2 minimal install and then using the VirtualBox interface to clone the images. They will achieve this so that they can easily install the replica set using the MongoDB Automation Agent.

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

    Please discharge the following steps:

  • In VirtualBox create a fresh guest image and summon 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 achieve a yum update on the guest RHEL install.

    The final step will subsist to generate fresh ssh keys for the root user and transfer the keys to the guest machine. To achieve that gladden achieve the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. achieve not add a passphrase when requested.  # ssh-keygen
  • You need 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 occupy a best practice for doing this. If this is the first guest in your VirtualBox then it should occupy an ip of 10.1.2.101, if it has another ip then you will need to replace 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 subsist 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 total network cards.
  • Click on Next.
  • Ensure the full 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 total network cards.
  • Click on Next.
  • Ensure the full 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 total network cards.
  • Click on Next.
  • Ensure the full Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will subsist to configure the hostnames, host-only ip and the host files. They will need to furthermore ensure that the systems can communicate on the port for MongoDB, so they will disable the firewall which is not meant for production purposes but you will need to contact your IT departments on how they manage opening of ports.

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

    The information they will subsist using will subsist as follows:

    To achieve so on each of the guests achieve 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 subsist 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 furthermore achieve 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 subsist 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 subsist used to manage up to thousands of divide MongoDB clusters in a tenants-per-cluster mode — isolating cluster users to specific clusters.

    All major MongoDB Ops Manager actions can subsist driven manually through the user interface or programmatically through the leisure API, where Ops Manager can subsist 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 subsist deployed across a minimum of three hosts in three divide 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 revise credentials are able to access the cluster. The MongoDB cluster can furthermore utilize SSL/TLS for over the wire encryption.

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

    To utilize Ops Manager with Ansible and OpenShift:

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

    By having three MongoDB instances that they want to install the automation agent it would subsist light enough to login and accelerate the commands as seen in the Ops Manager agent installation information. However they occupy created an ansible playbook that you will need 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 need to customize it with the information you gathered from the Ops Manager.

    You will need 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 accelerate 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 accelerate the playbook you need 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 occupy 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 capture a quest at how a team can capture handicap of the advanced features of OpenShift in order to automatically plod fresh versions of applications from evolution to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the smooth of automation).

    OpenShift supports different setups depending on organizational requirements. Some organizations may accelerate a completely divide cluster for each environment (e.g. dev, staging, production) and others may utilize a solitary cluster for several environments. If you accelerate a divide OpenShift PaaS for each environment, they will each occupy their own dedicated and isolated resources, which is costly but ensures isolation (a problem with the evolution cluster cannot strike production). However, multiple environments can safely accelerate on one OpenShift cluster through the platform’s champion for resource isolation, which allows nodes to subsist dedicated to specific environments. This means you will occupy 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 accelerate on the more powerful / expensive nodes.

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

    To plod code between environments, they can capture handicap of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those establish 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 contemplate this in the diagram above — when the developer is ready for their changes to subsist picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will subsist picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who occupy the changed image as a foundation layer). This can subsist fully automated by the utilize of Jenkins or a similar CI tool; on a check-in to the source control repository, it can accelerate a test-suite and automatically tag the image if it passes.

    To plod between staging and production they can achieve exactly the selfsame thing — Jenkins or a similar tool could accelerate 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 fresh versions. This would subsist loyal 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 subsist easily done by requiring the images in staging to subsist tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

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

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

    $ oc login -u openshift-dev

    Now we’ll create two fresh 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 subsist their evolution environment (mlbparks):

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

    After you accelerate this command you should subsist 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 occupy 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 need to create one external service for each node. In their case they occupy three nodes so for illustrative purposes they occupy 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 need to accelerate 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 occupy the endpoints for the external replica set created they can now create the MLB parks using a template. They will utilize the source code from their demo GitHub repo and the s2i build strategy which will create a container for their source code (note this repository has no Dockerfile in the fork they use). total of the environment variables are in the mlbparks-template.json, so they will first create a template then create their fresh app:

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

    We can procure the name of the image created by the build with the aid of the narrate command:

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

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

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

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

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

    To allow the production project to tow the image from the evolution repository, they need to accord 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 fresh policy is in place, they can check the rolebindings: $ oc procure 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 occupy an image that can subsist deployed to the production environment. Let’s switch the current project to the production one:

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

    To start the database we’ll utilize the 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 fraction we’ll subsist using the image stream created in the evolution project that was tagged “production”:

    $ oc new-app mlbparks/mlbparks:production --> establish image 5621fed (11 minutes old) in image stream "mlbparks in project mlbparks" under tag :production for "mlbparks/mlbparks:production" * This image will subsist deployed in deployment config "mlbparks" * Port 8080/tcp will subsist load balanced by service "mlbparks" --> Creating resources with label app=mlbparks ... DeploymentConfig "mlbparks" created Service "mlbparks" created --> Success accelerate '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 plod fresh items to production, but they will furthermore prove how they can update an application without having to update the MongoDB schema. They occupy created a fork 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 fresh build based on the consign “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 fresh ingredient to in their application to subsist persisted to the database, they would need to produce the changes in the code as well as occupy a DBA manually update the schema at the database. The following code is an case of how they can modify the application code without manually making changes to the MongoDB schema.

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

    Once the build finishes running, a deployment stint will start that will replace the running container. Once the fresh version is deployed, you should subsist able to contemplate 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 joyful with the change, let’s tag it ready for production. Again, accelerate oc to procure 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 fresh image to the production environment.

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

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

    Over the course of this post, we’ve investigated the Red Hat container ecosystem and OpenShift Container Platform in particular. OpenShift builds on the advanced orchestration capabilities of Kubernetes and the reliability and stability of the Red Hat Enterprise Linux operating system to provide a powerful application environment for the enterprise. OpenShift adds several ideas of its own that provide requisite 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 subsist automatically pushed from evolution through to production combined with the power and capabilities of MongoDB as the backend of choice 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
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    Subject : Business & Economics
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    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
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    Subject : Computer Science & Technology
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
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    Subject : Business & Economics
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
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    Our ISBN10 : 1260084493
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
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    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (May 2018)
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
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    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
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    Publisher : McGraw-Hill (Jan 2018)
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    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Publisher : McGraw-Hill (Jan 2017)
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    Subject : Business & Economics, Communication & Media
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    C2090-610C2090-610
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
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    Subject : Business & Economics, Communication & Media
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