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C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

Test Code : C2090-610
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: 138 existent Questions

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IBM IBM DB2 10.1 Fundamentals

A e-book to the IBM DB2 9 Fundamentals certification examination | killexams.com existent Questions and Pass4sure dumps

here excerpt from DB2 9 Fundamentals: Certification examine guide, written by using Roger E. Sanders, is reprinted with authorization from MC Press. read the comprehensive Chapter 1, A e engage to the IBM DB2 9 certification examination if you believe taking a DB2 9 Fundamentals certification exam might possibly breathe your next profession stream.

The IBM DB2 9 certification process

an in depth examination of the IBM certification roles available promptly displays that, as a route to obtain a particular DB2 9 certification, you should capture and stream one or greater exams that hold been designed chiefly for that certification role. (each and every examination is a utility-primarily based exam that is neither platform -- nor product-particular.) for this reason, after you hold chosen the certification role you want to pursue and familiarized yourself with the necessities for that selected function, the next step is to attach together for and capture the acceptable certification exams.

preparing for the IBM DB2 9 certification checks

when you hold event the expend of DB2 9 within the context of the certification role you hold got chosen, you may additionally already possess the edge and competencies obligatory to pass the examination(s) required for that role. youngsters, in case your event with DB2 9 is limited (and in spite of the fact that it is not), that you may prepare for any of the certification exams available by taking expertise of here components:

  • Formal education
  • IBM gaining information of capabilities offers classes that are designed to assist you attach together for DB2 9 certification. a catalogue of the classes that are advised for each and every certification examination can besides breathe discovered the expend of the Certification Navigator tool offered on IBM's "expert Certification software from IBM " net web site. advised courses can besides breathe discovered at IBM's "DB2 records management" internet site. For greater tips on direction schedules, locations, and pricing, contact IBM getting to know services or search recommendation from their internet web page.

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

  • Publications
  • the entire tips you exigency to pass any of the purchasable certification assessments can besides breathe present in the documentation that is equipped with DB2 9. an entire set of manuals comes with the product and are accessible throughout the assistance core after you hold installed the DB2 9 utility. DB2 9 documentation can even breathe downloaded from IBM's web site in both HTML and PDF codecs. @39202

    Self-analyze books (corresponding to this one) that center of attention on one or more DB2 9 certification checks/roles are besides purchasable. every one of these books can besides breathe discovered at your local bookstall or ordered from many on-line ebook retailers. (a catalogue of viable reference materials for every certification examination will besides breathe discovered using the Certification Navigator device offered on IBM's "knowledgeable Certification application from IBM" web site.)

    apart from the DB2 9 product documentation, IBM often produces manuals, known as "RedBooks," that cowl superior DB2 9 topics (as well as different theme matters). These manuals can breathe establish as downloadable PDF information on IBM's RedBook net site. Or, in case you favor to hold a bound complicated replica, which you can obtain one for a modest payment through following the applicable hyperlinks on the RedBook net web site. (There is not any can suffuse for the downloadable PDF info.)

  • examination aims
  • pursuits that give an overview of the simple topics that are covered on a particular certification exam may besides breathe discovered using the Certification Navigator device provided on IBM's "professional Certification application from IBM" web site. exam goals for the DB2 9 family unit Fundamentals exam (exam 730) can besides breathe establish in Appendix A of this publication.

  • sample questions/exams
  • pattern questions and pattern checks permit you to revolve into common with the format and wording used on the exact certification assessments. they could assist you arrive to a determination whether you possess the skills obligatory to Move a selected examination. pattern questions, along with descriptive answers, are supplied at the conclusion of each chapter in this ebook and in Appendix B. pattern assessments for each DB2 9 certification position obtainable may besides breathe establish the expend of the Certification exam tool supplied on IBM's "knowledgeable Certification application from IBM" net site. there is a $10 suffuse for every examination taken.

    it is essential to note that the certification exams are designed to breathe rigorous. Very unavoidable solutions are anticipated for most examination questions. because of this, and since the compass of material covered on a certification examination is always broader than the expertise basis of many DB2 9 gurus, breathe confident to capture capabilities of the examination guidance resources obtainable in case you want to guarantee your success in acquiring the certification(s) you want.

  • The ease of this chapter particulars utter attainable DB2 9 certifications and contains lists of suggested objects to grasp before taking the examination. It besides describes the structure of the checks and what to hope on examination day. study the finished Chapter 1: A e engage to the IBM DB2 9 certification exam to breathe taught greater.


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    No result discovered, are trying fresh key phrase!Fundamentals of IBM can breathe reviewed in perquisite here theme matters under ... lately, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it breathe a worthy business, but you ought to breathe di...

    Mainframe facts Is Your underhand Sauce: A Recipe for records insurance policy | killexams.com existent Questions and Pass4sure dumps

    Mainframe records Is Your underhand Sauce: A Recipe for information insurance policy July 31, 2017  |  by Kathryn Zeidenstein A chef drizzling sauce on a plate of food.

    Bigstock

    Share Mainframe information Is Your underhand Sauce: A Recipe for statistics protection on Twitter participate Mainframe statistics Is Your underhand Sauce: A Recipe for data insurance policy on facebook participate Mainframe data Is Your underhand Sauce: A Recipe for statistics coverage on LinkedIn

    We within the security container want to expend metaphors to profit illustrate the weight of statistics within the enterprise. I’m a titanic fan of cooking, so I’ll expend the metaphor of a underhand sauce. suppose about it: each transaction basically reflects your corporation’s wonderful relationship with a consumer, service provider or companion. by means of sheer quantity alone, mainframe transactions provide an incredible number of materials that your corporation uses to develop its underhand sauce — improving consumer relationships, tuning give chain operations, nascence fresh lines of company and extra.

    extremely captious statistics flows through and into mainframe data retailers. in reality, ninety two of the exact 100 banks reckon on the mainframe because of its velocity, scale and safety. additionally, greater than 29 billion ATM transactions are processed per 12 months, and 87 % of utter bank card transactions are processed throughout the mainframe.

    Safeguarding Your underhand Sauce

    the buzz has been stout for the recent IBM z14 announcement, which contains pervasive encryption, tamper-responding key management and even encrypted utility program interfaces (APIs). The velocity and scale of the pervasive encryption solution is breathtaking.

    Encryption is a fundamental expertise to protect your underhand sauce, and the brand fresh effortless-to-use crypto capabilities within the z14 will develop encryption a no brainer.

    With the entire exhilaration around pervasive encryption, although, it’s essential not to fail to behold another allotment that’s essential for facts security: statistics endeavor monitoring. imagine utter of the purposes, functions and administrators as cooks in a kitchen. How can you develop unavoidable that americans are correctly following the recipe? How carry out you breathe confident that they aren’t running off along with your underhand sauce and developing competitive recipes or promoting it on the black market?

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

    facts coverage and exercise Monitoring

    data undertaking monitoring offers insights into entry conduct — that's, the who, what, where and when of access for DB2, the assistance management device (IMS) and the file equipment. as an example, through the expend of data recreation monitoring, you could breathe able to inform even if the top chef (i.e., the database or device administrator) is working from a special locality or working irregular hours.

    in addition, statistics undertaking monitoring raises the visibility of unusual oversight circumstances. If an application starts throwing a few bizarre database error, it may breathe an illustration that an SQL injection assault is underway. Or maybe the application is only poorly written or maintained — in utter probability tables had been dropped or utility privileges hold changed. This visibility can back organizations in the reduction of database overhead and risk via bringing these issues to gentle.

    Then there’s compliance, utter and sundry’s favorite subject. You deserve to breathe capable of note to auditors that compliance mandates are being adopted, even if that comprises monitoring privileged clients, now not enabling unauthorized database alterations or tracking utter entry to price card industry (PCI) information. With the eu’s universal facts insurance policy legislation (GDPR) set to capture consequence in may besides 2018, the stakes are even bigger.

    Automating hold faith, Compliance and protection

    As a allotment of a comprehensive information coverage manner for the mainframe, IBM protection Guardium for z/OS gives certain, granular, precise-time recreation monitoring capabilities as well as real-time alerting, out-of-the-box compliance reporting and a entire lot greater. The most recent liberate, 10.1.3, provides information insurance policy improvements as well as performance advancements to assist preserve your costs and overhead down.

    Your mainframe statistics is valuable — it's your underhand sauce. As such, it will breathe stored under lock and key, and monitored continuously.

    To learn more about monitoring and conserving information in mainframe environments, watch their on-demand webinar, “Your Mainframe atmosphere Is a Treasure Trove: Is Your delicate data covered?”

    Tags: Compliance | records coverage | Encryption | Mainframe | Mainframe security | price Card industry (PCI) Kathryn Zeidenstein

    expertise Evangelist and neighborhood recommend, IBM safety Guardium

    Kathryn Zeidenstein is a technology evangelist and community hint for IBM protection Guardium statistics insurance policy... 13 Posts What’s new
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  • EventWebinar: The Resilient discontinuance of 12 months evaluation — The arrogate Cyber safety traits in 2018 and Predictions for the yr ahead
  • ArticleA enjoyable and educational respond to the security attention problem: The security score away Room
  • protection Intelligence Podcast Share this article: Share Mainframe information Is Your underhand Sauce: A Recipe for information insurance policy on Twitter participate Mainframe statistics Is Your underhand Sauce: A Recipe for records coverage on facebook participate Mainframe data Is Your underhand Sauce: A Recipe for statistics protection on LinkedIn greater on data insurance plan A meeting  latitude in a modern office: data discovery PodcastForrester Analyst Heidi Shey Dives abysmal Into information Discovery and Classification Illustration of a malicious advertisement on a laptop screen: malvertising ArticleHow to guard towards Malvertising force-through attacks A woman using a smartphone to  develop an online purchase: security hygiene ArticleRetail safety Hygiene: The Case for Seasonal Checkups Man checking his phone for a second-factor authentication key: password management ArticleWe should contend NIST’s Dropped Password management strategies

    C2090-610 DB2 10.1 Fundamentals

    Study guide Prepared by Killexams.com IBM Dumps Experts


    Killexams.com C2090-610 Dumps and existent Questions

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



    C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

    Test Code : C2090-610
    Test appellation : DB2 10.1 Fundamentals
    Vendor appellation : IBM
    : 138 existent Questions

    Get the ones and chillout!
    This killexams.Com from helped me score my C2090-610 accomplice confirmation. Their materials are simply beneficial, and the examination simulator is virtually wonderful, it completely reproduces the exam. Topics are smooth very with out troubles the usage of the killexams.Com keep fabric. The exam itself changed into unpredictable, so Im satisfied I applied killexams.Com . Their packs unfold utter that I want, and that i wont score any unsavory shocks amid your examination. Thanx guys.


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    obtain those C2090-610 questions.
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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 comprehend integration with the lightning swiftly validation and processing capabilities of RaptorXML®, back for Schema 1.1, XPath/XSLT/XQuery 3.0, back for fresh databases and much more. fresh features in Altova server products comprehend caching options in FlowForce® Server and increased performance powered by RaptorXML across the server product line.

    "We are so excited to breathe able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust back 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 skill to automate essential processes via their high-performance server products, gives their customers a discrete edge when structure 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 workable 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 swiftly validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to back the very latest of utter relevant 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 essential back 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 commerce 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 besides provided in SchemaAgent 2014, allowing users to visualize and manage schema relationships via its graphical interface. This is besides an edge when connecting to SchemaAgent in XMLSpy.

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

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

    Support for XPath in XMLSpy 2014 has been updated to comprehend the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful fresh functionality such as: dynamic role cells, inline role expressions, and back for union types to appellation just a few. Full back for fresh functions and operators added in XPath 3.0 is available through brilliant 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. delight note that a subset of XSLT 3.0 is supported since the yardstick is soundless a working draft that continues to evolve. XSLT 3.0 back conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, back in XMLSpy now gives developers the skill to start working with this fresh version immediately.

    XSLT 3.0 takes edge 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 breathe used to trap and regain from dynamic errors. Other enhancements in XSLT 3.0 comprehend back for higher order functions and partial functions.

    Story Continues

    As with XSLT and XPath, XMLSpy back for XQuery now besides includes a subset of version 3.0. Developers will now hold the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other brilliant 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 -- utter of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

    New Database Support:

    Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now comprehend complete back for newer versions of previously supported databases, as well as back for 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 commerce processes, while MapForce Server and StyleVision Server proffer high-speed automation for projects designed using chummy 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 develop 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 breathe provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would breathe a capable 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 delight 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 proud to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

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


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

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

    In this blog post, they will note you how you can set up a local system that will back MongoDB, MongoDB Ops Manager, and OpenShift. They will walk through the various installation steps and demonstrate how light it is to carry out 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 skill 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 profit 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 besides breathe used to provide seamless no-downtime upgrades, scaling, and backup and restore.

    Red Hat OpenShift is a complete open source application platform that helps organizations develop, deploy, and manage existing and container-based applications seamlessly across infrastructures. Based on Docker container packaging and Kubernetes container cluster management, OpenShift delivers a high-quality developer sustain within a stable, secure, and scalable operating system. Application lifecycle management and agile application evolution tooling expand 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 exigency to meet a number of requirements. You will exigency 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 besides 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 besides 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 besides seeks to decipher other major unsolved IT challenges.

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

    In order to install Ansible using yum you will exigency 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 affray with the basis RHEL packages.

    The EPEL repository has a dependency on the Server Optional and Server Extras repositories. To enable these repositories you will exigency 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 exigency to carry out the following:

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

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

    $ sudo yum install ansible Vagrant Install

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

    Vagrant is not included in any yardstick repository, so they will exigency to install it. You can install Vagrant by enabling the SCLO repository or you can score it directly from the Vagrant website. They will expend 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 expend VirtualBox for the virtualization software.

    VirtualBox is best done using a repository to ensure you can score updates. To carry out this you will exigency 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 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 breathe under you Applications->System Tools menu on your desktop.
  • Click on File->Preferences.
  • Click on Network.
  • Click on the Host-only Networks, and a popup of the VirtualBox preferences will load.
  • There should breathe a vboxnet0 as the network, click on it and click on the edit icon (looks enjoy a screwdriver on the left side of the popup) 6.Ensure that the IPv4 Address is 10.1.2.1.
  • Ensure the IPv4 Network Mask is 255.255.255.0.
  • Click on the DHCP Server tab.
  • Ensure the server address is 10.1.2.100.
  • Ensure the Server mask is 255.255.255.0.
  • Ensure the Lower Address Bound is 10.1.2.101.
  • Ensure the Upper Address Bound is 10.1.2.254.
  • Click on OK.
  • Click on OK.
  • CDK Install

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

    The Red Hat CDK is a customized virtual machine that makes it light to evade knotty deployments resembling production. This means knotty applications can breathe developed using production grade tools from the very start, significance developers are unlikely to sustain 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 recede through the entire workflow. By the discontinuance of this blog post you will know how to evade an application on top of OpenShift and will breathe chummy with the core features of the CDK and OpenShift. Let’s score started…

    Installing the CDK

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

    Start by going to Red Hat Product Downloads (note that you will exigency 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 profit you start the Vagrant box. In the components subfolder you will find Vagrant files that will configure the virtual machine for you. The plugins folder contains the Vagrant add-ons that will breathe used to register the 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 appellation 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 expend the Vagrantfile that comes shipped with the CDK and has back for OpenShift.

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

    In order to expend the landrush plugin to configure the DNS they exigency 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 exigency to breathe replaced) :

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

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

    Save the changes and start the virtual machine :

    $ vagrant up

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

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

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

    The OpenShift console should breathe accessible at https://10.1.2.2:8443 from a browser on your host (this IP is defined in the Vagrantfile). By default, the login credentials will breathe openshift-dev/devel. You can besides expend 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 tug specific images. These are an light route to quickly score an app up and running. From the list of Instant Apps, select “nodejs-mongodb-example” which will start a database (MongoDB) and a web server (Node.js).

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

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

    OpenShift will then tug the code from GitHub, find the arrogate Docker image in the Red Hat repository, and besides 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 contemplate enjoy this:

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

    To test out the pipeline, they exigency to develop a change to their project and shove a confide to the repo.

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

    We now hold Continuous Deployment configured for their application. Throughout this blog post, we’ve used the OpenShift web interface. However, they could hold 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 breathe deployed to a node together. A pod represents the smallest unit that can breathe deployed and managed in OpenShift. The pod will breathe assigned its own IP address. utter of the containers in the pod will participate local storage and networking.

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

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

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the 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 fresh code confide (assuming you set-up the GitHub webhooks) OpenShift will update your application. fresh pods will breathe started with the profit of replication controllers running your fresh application version. The feeble pods will breathe deleted. OpenShift deployments can fulfill rollbacks and provide various deploy strategies. It’s hard to overstate the advantages of being able to evade a production environment in evolution and the efficiencies gained from the swiftly feedback cycle of a Continuous Deployment pipeline.

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

    MongoDB VirtualBox

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

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

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

    Please fulfill the following steps:

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

    The final step will breathe to generate fresh ssh keys for the root user and transfer the keys to the guest machine. To carry out that delight carry out the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. carry out not add a passphrase when requested.  # ssh-keygen
  • You exigency 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 hold a best practice for doing this. If this is the first guest in your VirtualBox then it should hold an ip of 10.1.2.101, if it has another ip then you will exigency to replace for the following. For this blog delight 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 block sshd from using the authorized_keys so update the permissions on the guest with the following command # restorecon -R -v /root/.ssh
  • Test the connection by trying to ssh from the host to the guest, you should not breathe asked for any login information.
  • Once this is complete you can shut down the RHEL basis guest image. They will now clone this to provide the MongoDB environment. The steps are as follows:

  • Right click on the RHEL guest OS and select Clone.
  • Enter the appellation 7.2 RH Mongo-DB1.
  • Ensure to click the Reinitialize the MAC Address of utter 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 appellation 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of utter 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 appellation 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of utter network cards.
  • Click on Next.
  • Ensure the full Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will breathe to configure the hostnames, host-only ip and the host files. They will exigency to besides 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 exigency to contact your IT departments on how they manage opening of ports.

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

    The information they will breathe using will breathe as follows:

    To carry out so on each of the guests carry out the following:

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

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

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

    Specifically, Ops Manager can deploy any MongoDB cluster topology across bare metal or virtualized hosts, or in private or public cloud environments. A production MongoDB cluster will typically breathe deployed across a minimum of three hosts in three discrete 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 rectify credentials are able to access the cluster. The MongoDB cluster can besides expend SSL/TLS for over the wire encryption.

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

    To expend Ops Manager with Ansible and OpenShift:

  • Install and expend 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 exigency to breathe able to compass into the managed VMs directly over the network).
  • Spawn servers (VMs) running Red Hat Enterprise Linux, able to compass each other over the network at the hostnames returned by “hostname -f” on each server respectively, and the MongoDB Ops Manager itself, at the OpsManagerCentralURL.
  • Create an Ops Manager Group, and record the group’s unique identifier (“mmsGroupId”) and Agent API key (“mmsApiKey”) from the group’s ‘Settings’ page in the user interface.
  • Use Ansible to configure the VMs to start the MongoDB Ops Manager Automation Agent (available for download directly from the Ops Manager). expend the Ops Manager UI (or ease API) to instruct the Ops Manager agents to deploy a MongoDB replica set across the three VMs.
  • Ansible Install

    By having three MongoDB instances that they want to install the automation agent it would breathe light enough to login and evade the commands as seen in the Ops Manager agent installation information. However they hold created an ansible playbook that you will exigency to change to customize.

    The playbook looks like:

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

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

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

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

    Once this is done you are ready to evade the ansible playbook. This playbook will contact your Ops Manager Server, download the latest client, update the client config files with your APiKey and Groupid, install the client and then start the client. To evade the playbook you exigency 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 utter of the Ops Manager agents hold 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 contemplate at how a team can capture edge of the advanced features of OpenShift in order to automatically Move fresh versions of applications from evolution to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the even of automation).

    OpenShift supports different setups depending on organizational requirements. Some organizations may evade a completely part cluster for each environment (e.g. dev, staging, production) and others may expend a unique cluster for several environments. If you evade a part OpenShift PaaS for each environment, they will each hold 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 evade on one OpenShift cluster through the platform’s back for resource isolation, which allows nodes to breathe dedicated to specific environments. This means you will hold one OpenShift cluster with common masters for utter environments, but dedicated nodes assigned to specific environments. This allows for scenarios such as only allowing production projects to evade on the more powerful / expensive nodes.

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

    A Continuous Delivery Pipeline with CDK and OpenShift Enterprise

    The workflow of their continuous delivery pipeline is illustrated below:

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

    To Move code between environments, they can capture edge 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 behold this in the diagram above — when the developer is ready for their changes to breathe picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will breathe picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who hold the changed image as a basis layer). This can breathe fully automated by the expend of Jenkins or a similar CI tool; on a check-in to the source control repository, it can evade a test-suite and automatically tag the image if it passes.

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

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s contemplate at a existent instance of pushing an application from evolution to production. They will expend 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 instance assumes that both environments are hosted on the selfsame OpenShift cluster, but it can breathe easily adapted to allow promotion to another OpenShift instance by using a common registry.

    If you don’t already hold a working OpenShift instance, you can quickly score started by using the CDK, which they besides 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 breathe their evolution environment (mlbparks):

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

    After you evade this command you should breathe in the context of the 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 vacuous selector and an endpoint. In some cases you can hold multiple IP addresses assigned to your endpoint and the service will act as a load balancer. This will not toil with the MongoDB replica set as you will encounter issues not being able to connect to the PRIMARY node for writing purposes. To allow for this in this case you will exigency to create one external service for each node. In their case they hold three nodes so for illustrative purposes they hold 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 exigency to evade the following commands:

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

    Now that they hold the endpoints for the external replica set created they can now create the MLB parks using a template. They will expend 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). utter 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" - expend the logs command to track its progress. evade 'oc status' to view your app.

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

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

    We can score the appellation of the image created by the build with the profit of the relate command:

    $ oc relate 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 tug 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 expend in production (use the SHA of your image here, but remove the IP address of the registry):

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

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

    To allow the production project to tug the image from the evolution repository, they exigency to grant tug rights to the service account associated with production environment. Note that mlbparks-production is the appellation 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 score rolebindings NAME ROLE USERS GROUPS SERVICE ACCOUNTS SUBJECTS admins /admin catalin system:deployers /system:deployer deployer system:image-builders /system:image-builder builder system:image-pullers /system:image-puller system:serviceaccounts:mlbparks, system:serviceaccounts:mlbparks-production

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

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

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

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

    For the application allotment we’ll breathe using the image stream created in the 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 breathe deployed in deployment config "mlbparks" * Port 8080/tcp will breathe load balanced by service "mlbparks" --> Creating resources with label app=mlbparks ... DeploymentConfig "mlbparks" created Service "mlbparks" created --> Success evade 'oc status' to view your app.

    This will create an application from the 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 skill to both automatically Move fresh items to production, but they will besides note how they can update an application without having to update the MongoDB schema. They hold 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 confide “8a58785”: $ oc start-build mlbparks --git-repository=https://github.com/macurwen/openshift3mlbparks/tree/division --commit='8a58785'

    Traditionally with a RDBMS if they want to add a fresh constituent to in their application to breathe persisted to the database, they would exigency to develop the changes in the code as well as hold a DBA manually update the schema at the database. The following code is an instance 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 assignment will start that will replace the running container. Once the fresh version is deployed, you should breathe able to behold 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 joyous with the change, let’s tag it ready for production. Again, evade oc to score the ID of the image tagged latest, which they can then tag as production:

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

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

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

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

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


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