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IBM IBM DB2 10.1 Fundamentals

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

the following excerpt from DB2 9 Fundamentals: Certification study ebook, written by way of Roger E. Sanders, is reprinted with consent from MC Press. examine the finished Chapter 1, A lead to the IBM DB2 9 certification exam in case you regard taking a DB2 9 Fundamentals certification exam can exist your subsequent career move.

The IBM DB2 9 certification technique

an in depth examination of the IBM certification roles accessible straight away reveals that, in an effort to achieve a specific DB2 9 certification, you must heave and pass one or greater exams which relish been designed peculiarly for that certification position. (each examination is a application-based examination it is neither platform -- nor product-specific.) thus, after you relish chosen the certification office you are looking to pursue and familiarized yourself with the requirements for that sure role, the next step is to deliver together for and heave the acceptable certification tests.

getting ready for the IBM DB2 9 certification exams

you probably relish event using DB2 9 within the context of the certification position you relish got chosen, you may additionally already possess the abilities and abilities necessary to pass the exam(s) required for that function. however, in case your experience with DB2 9 is restricted (and even if it isn't), that you would exist able to deliver together for any of the certification checks available by using taking skills of the following materials:

  • Formal schooling
  • IBM getting to know capabilities presents classes that are designed to abet you prepare for DB2 9 certification. a catalogue of the courses that are advised for every certification exam can also exist discovered using the Certification Navigator device supplied on IBM's "professional Certification software from IBM " internet site. informed classes can even exist create at IBM's "DB2 information management" web web site. For more guidance on direction schedules, places, and pricing, contact IBM discovering services or consult with their net web site.

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

  • Publications
  • the entire advice you requisite to slither any of the available certification tests will also exist present in the documentation that is equipped with DB2 9. an entire set of manuals comes with the product and are accessible through the information seat once you relish installed the DB2 9 utility. DB2 9 documentation can even exist downloaded from IBM's net website in each HTML and PDF formats. @39202

    Self-analyze books (similar to this one) that focal point on one or extra DB2 9 certification exams/roles are also obtainable. every one of these books can also exist create at your local engage shop or ordered from many on-line ebook dealers. (a list of viable reference materials for each certification exam may also exist discovered the expend of the Certification Navigator device provided on IBM's "skilled Certification program from IBM" internet web page.)

    in addition to the DB2 9 product documentation, IBM commonly produces manuals, referred to as "RedBooks," that cover advanced DB2 9 topics (in addition to other issues). These manuals can exist create as downloadable PDF data on IBM's RedBook net site. Or, if you elect to relish a bound tough copy, that you could gain one for a modest payment by way of following the applicable hyperlinks on the RedBook web web page. (There is not any cost for the downloadable PDF information.)

  • exam targets
  • ambitions that provide a top plane view of the fundamental topics which are covered on a specific certification examination will also exist create the expend of the Certification Navigator tool offered on IBM's "expert Certification application from IBM" net web site. exam ambitions for the DB2 9 family Fundamentals examination (exam 730) can even exist create in Appendix A of this book.

  • sample questions/tests
  • sample questions and sample assessments permit you to become prevalent with the format and wording used on the specific certification exams. they can assist you arrive to a conclusion whether you possess the potential mandatory to circulate a particular examination. sample questions, together with descriptive solutions, are offered at the conclusion of each chapter in this engage and in Appendix B. pattern assessments for every DB2 9 certification position attainable can also exist discovered the expend of the Certification exam tool offered on IBM's "professional Certification program from IBM" net web page. there is a $10 cost for each examination taken.

    it's necessary to notice that the certification exams are designed to exist rigorous. Very selected answers are expected for many examination questions. because of this, and because the latitude of fabric lined on a certification examination is constantly broader than the expertise foundation of many DB2 9 specialists, exist sure you heave expertise of the exam coaching materials obtainable if you wish to guarantee your success in acquiring the certification(s) you want.

  • The comfort of this chapter details entire obtainable DB2 9 certifications and contains lists of suggested gadgets to know before taking the examination. It additionally describes the structure of the checks and what to await on examination day. examine the comprehensive Chapter 1: A lead to the IBM DB2 9 certification examination to gain lore of extra.


    IBM: earnings Play With Very horrible total recrudesce | killexams.com actual Questions and Pass4sure dumps

    No result discovered, try original key phrase!Fundamentals of IBM might exist reviewed in the following themes beneath ... these days, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it's an excellent company, but you relish to exist di...

    Mainframe data Is Your surreptitious Sauce: A Recipe for records insurance policy | killexams.com actual Questions and Pass4sure dumps

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

    Bigstock

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

    We in the safety field want to expend metaphors to support illustrate the value of facts in the enterprise. I’m a titanic fan of cooking, so I’ll expend the metaphor of a surreptitious sauce. believe about it: every transaction actually displays your corporation’s exciting relationship with a client, organization or partner. by using sheer amount on my own, mainframe transactions supply a major variety of materials that your firm makes expend of to design its surreptitious sauce — enhancing client relationships, tuning deliver chain operations, starting original lines of company and extra.

    extremely necessary records flows through and into mainframe data retailers. in fact, 92 of the proper one hundred banks depend on the mainframe because of its velocity, scale and security. moreover, more than 29 billion ATM transactions are processed per 12 months, and 87 p.c of entire credit card transactions are processed through the mainframe.

    Safeguarding Your surreptitious Sauce

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

    Encryption is a basic technology to protect your surreptitious sauce, and the brand original handy-to-use crypto capabilities in the z14 will design encryption a no-brainer.

    With the entire exhilaration round pervasive encryption, notwithstanding, it’s vital no longer to miss out on an extra factor that’s necessary for information safety: statistics undertaking monitoring. imagine entire of the applications, services and administrators as cooks in a kitchen. How are you able to design sure that individuals are as it should exist following the recipe? How finish you design sure that they aren’t running off with your surreptitious sauce and growing competitive recipes or promoting it on the black market?

    Watch the on-demand webinar: Is Your fine statistics blanketed?

    information coverage and undertaking Monitoring

    statistics endeavor monitoring gives insights into entry conduct — it's, the who, what, where and when of access for DB2, the tips management gadget (IMS) and the file device. for instance, by using records undertaking monitoring, you could exist capable of expose whether the top chef (i.e., the database or outfit administrator) is working from a discrete location or working irregular hours.

    furthermore, information pastime monitoring raises the visibility of surprising mistake situations. If an utility starts throwing a yoke of bizarre database errors, it can exist a demonstration that an SQL injection assault is underway. Or probably the utility is barely poorly written or maintained — perhaps tables had been dropped or software privileges relish modified. This visibility can assist companies reduce database overhead and risk by means of bringing these considerations to easy.

    Then there’s compliance, everybody’s favourite theme. You should exist capable of prove to auditors that compliance mandates are being adopted, no matter if that contains monitoring privileged clients, no longer permitting unauthorized database alterations or tracking entire entry to fee card trade (PCI) data. With the eu’s well-known statistics coverage rules (GDPR) set to heave result in may additionally 2018, the stakes are even larger.

    Automating relish faith, Compliance and protection

    As portion of a comprehensive facts protection strategy for the mainframe, IBM safety Guardium for z/OS provides specific, granular, precise-time activity monitoring capabilities in addition to precise-time alerting, out-of-the-container compliance reporting and tons more. The most up-to-date release, 10.1.three, gives statistics coverage advancements in addition to efficiency advancements to assist hold your costs and overhead down.

    Your mainframe information is precious — it is your surreptitious sauce. As such, it's going to exist kept below lock and key, and monitored always.

    To exist taught more about monitoring and keeping records in mainframe environments, watch their on-demand webinar, “Your Mainframe atmosphere Is a Treasure Trove: Is Your sensitive statistics covered?”

    Tags: Compliance | records insurance plan | Encryption | Mainframe | Mainframe protection | charge Card industry (PCI) Kathryn Zeidenstein

    know-how Evangelist and group recommend, IBM security Guardium

    Kathryn Zeidenstein is a expertise evangelist and neighborhood suggest for IBM security Guardium information protection... 13 Posts What’s new
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    000-610 DB2 10.1 Fundamentals

    Study lead Prepared by Killexams.com IBM Dumps Experts


    Killexams.com 000-610 Dumps and actual Questions

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    000-610 exam Dumps Source : DB2 10.1 Fundamentals

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

    save your money and time, heave these 000-610 and deliver together the examination.
    ive these days passed the 000-610 exam with this bundle. that is a remarkable reply if you requisite a quick yet dependable coaching for 000-610 examination. this is a expert level, so await that you nevertheless requisite to spend time gambling with - practical relish is fundamental. yet, as far and exam simulations cross, killexams.com is the winner. Their checking out engine clearly simulates the examination, such as the unique question types. It does design things less complicated, and in my case, I trust it contributed to me getting a one hundred% score! I could not regard my eyes! I knew I did nicely, but this became a marvel!!


    I want dumps trendy 000-610 examination.
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    where must I sign in for 000-610 exam?
    Great coverage of 000-610 examination principles, so I learned precisely what I needed at some stage in the 000-610 exam. I particularly advise this training from killexams.Com to absolutely everyone making plans to heave the 000-610 examination.


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    neglect approximately everything! virtually forcus on those 000-610 Questions and solutions in case you requisite to pass.
    It was the time whilst i used to exist scanning for the net exam simulator, to heave my 000-610 exam. I solved entire questions in only 90 minutes. It was terrific to recognise that killexams.com Questions & solutions had entire vital fabric that become wished for the exam. The material of killexams.com changed into powerful to the point that I passed my examination. while i used to exist told about killexams.com Questions & answers via one in entire my partners, i was hesitant to utilize it so I chose to down load the demos first of all, and check whether or not i can salvage birthright abet for the 000-610 examination.


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    I got extraordinary Questions bank for my 000-610 examination.
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    Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com actual 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 hastily validation and processing capabilities of RaptorXML®, support for Schema 1.1, XPath/XSLT/XQuery 3.0, support for original databases and much more. original 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 exist able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust support 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 faculty to automate essential processes via their high-performance server products, gives their customers a discrete edge when edifice and deploying applications."

    A few of the original 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 same hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce®, and SchemaAgent®, delivering lightning hastily 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 support the very latest of entire 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 necessary support for XML Schema 1.1 validation and editing. The latest version of the XML Schema standard, 1.1 adds original features aimed at making schemas more flexible and adaptable to industry 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 simple to understand and implement these original features.

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

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

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

    Support for XPath in XMLSpy 2014 has been updated to comprise the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful original functionality such as: dynamic office cells, inline office expressions, and support for union types to name just a few. Full support for original functions and operators added in XPath 3.0 is available through intelligent XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

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

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

    Story Continues

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

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the original functions and operators added in XPath 3.0, such as a original string concatenation operator, map operator, math functions, sequence processing, and more -- entire 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 support for newer versions of previously supported databases, as well as support for original 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 original 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 industry processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using intimate Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires knotty database queries or needs to design 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 exist 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 exist 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 original features, supported standards, and trial downloads gratify visit: http://www.altova.com/whatsnew.html

    About Altova Altova® is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy® and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution progress tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software progress teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is supercilious 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 exist the trademarks of their respective owners.


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

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

    In this blog post, they will prove you how you can set up a local system that will support MongoDB, MongoDB Ops Manager, and OpenShift. They will walk through the various installation steps and demonstrate how simple it is to finish agile application progress with MongoDB and OpenShift.

    MongoDB is the next-generation database that is built for rapid and iterative application development. Its flexible data model — the faculty 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 abet 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 also exist 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 experience within a stable, secure, and scalable operating system. Application lifecycle management and agile application progress 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 ensue this example, you will requisite to meet a number of requirements. You will requisite a system with 16 GB of RAM and a RHEL 7.2 Server (we used an instance with a GUI for simplicity). The following software is also required:

  • Ansible
  • Vagrant
  • VirtualBox
  • Ansible Install

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

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

    In order to install Ansible using yum you will requisite to enable the EPEL repository. The EPEL (Extra Packages for Enterprise Linux) is repository that is driven by the Fedora Special Interest Group. This repository contains a number of additional packages guaranteed not to supersede or contest with the foundation RHEL packages.

    The EPEL repository has a dependency on the Server Optional and Server Extras repositories. To enable these repositories you will requisite to execute the following commands:

    $ sudo subscription-manager repos --enable rhel-7-server-optional-rpms $ sudo subscription-manager repos --enable rhel-7-server-extras-rpms

    To install/enable the EPEL repository you will requisite to finish 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 exist used to manage the lifecycle of a virtual machine. This tool is used for the installation and management of the Red Hat Container progress Kit.

    Vagrant is not included in any standard repository, so they will requisite to install it. You can install Vagrant by enabling the SCLO repository or you can salvage 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 progress 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 salvage updates. To finish this you will requisite to ensue 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 exist 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 exist a vboxnet0 as the network, click on it and click on the edit icon (looks dote 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 speed the same way on every platform. However, modern microservice deployments typically expend a scheduler such as Kubernetes to speed in production. In order to fully simulate the production environment, developers require a local version of production tools. In the Red Hat stack, this is supplied by the Red Hat Container progress Kit (CDK).

    The Red Hat CDK is a customized virtual machine that makes it simple to speed knotty deployments resembling production. This means knotty applications can exist developed using production grade tools from the very start, acceptation developers are unlikely to experience problems stemming from differences in the progress and production environments.

    Now let's walk through installation and configuration of the Red Hat CDK. They will create a containerized multi-tier application on the CDK’s OpenShift instance and ebb through the entire workflow. By the End of this blog post you will know how to speed an application on top of OpenShift and will exist intimate with the core features of the CDK and OpenShift. Let’s salvage started…

    Installing the CDK

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

    Start by going to Red Hat Product Downloads (note that you will requisite a Red Hat subscription to access this). Select ‘Red Hat Container progress Kit’ under Product Variant, and the preempt 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 abet 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 exist used to register the original 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 expend the Vagrantfile that comes shipped with the CDK and has support 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 requisite to add the following two lines to the Vagrantfile exactly as below (i.e. PUBLIC_ADDRESS is a property in the Vagrantfile and does not requisite to exist 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 exist reachable only by IP address from within the VM.

    Save the changes and start the virtual machine :

    $ vagrant up

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

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

    Now that they relish 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 exist 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 exist openshift-dev/devel. You can also expend your Red Hat credentials to login. In the console, they create a original project:

    Next, they create a original application using one of the built-in ‘Instant Apps’. Instant Apps are predefined application templates that drag specific images. These are an simple way to quickly salvage 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 ensue along with the webhook steps later, you’ll requisite to fork this repository into your own. Once you’re ready, enter the URL of your repo into the SOURCE_REPOSITORY_URL field:

    There are two other parameters that are necessary to us – GITHUB_WEBHOOK_SECRET and APPLICATION_DOMAIN:

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

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

    In order to expend the Landrush plugin, there is additional steps that are required to configure dnsmasq. To finish that you will requisite to finish the following:

  • Ensure dnsmasq is installed  $ sudo yum install dnsmasq
  • Modify the vagrant configuration for dnsmasq: $ sudo sh -c 'echo "server=/vagrant.test/127.0.0.1#10053" > /etc/dnsmasq.d/vagrant-landrush'
  • Edit /etc/dnsmasq.conf and verify the following lines are in this file: conf-dir=/etc/dnsmasq.d listen-address=127.0.0.1
  • Restart the dnsmasq service $ sudo systemctl restart dnsmasq
  • Add nameserver 127.0.0.1 to /etc/resolv.conf
  • Great! Their application has now been built and deployed on their local OpenShift environment. To complete the Continuous Deployment pipeline they just requisite to add a webhook into their GitHub repository they specified above, which will automatically update the running application.

    To set up the webhook in GitHub, they requisite a way of routing from the public internet to the Vagrant machine running on your host. An simple way to achieve this is to expend a third party forwarding service such as ultrahook or ngrok. They requisite to set up a URL in the service that forwards traffic through a tunnel to the webhook URL they copied earlier.

    Once this is done, open the GitHub repo and ebb 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 note something dote this:

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

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

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

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

    Pods

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

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

    For their example application, they relish a Pod running the application. Pods can exist 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 original code relegate (assuming you set-up the GitHub webhooks) OpenShift will update your application. original pods will exist started with the abet of replication controllers running your original application version. The traditional pods will exist deleted. OpenShift deployments can fulfill rollbacks and provide various deploy strategies. It’s hard to overstate the advantages of being able to speed a production environment in progress and the efficiencies gained from the hastily feedback cycle of a Continuous Deployment pipeline.

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

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

    We will also exist 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 original guest image and call it RHEL Base. They used the following information: a. remembrance 2048 MB b. Storage 30GB c. 2 Network cards i. Nat ii. Host-Only
  • Do a minimal Red Hat install, they modified the disk layout to remove the /home directory and added the reclaimed space to the / partition
  • Once this is done you should attach a subscription and finish a yum update on the guest RHEL install.

    The final step will exist to generate original ssh keys for the root user and transfer the keys to the guest machine. To finish that gratify finish the following steps:

  • Become the root user $ sudo -i
  • Generate your ssh keys. finish not add a passphrase when requested.  # ssh-keygen
  • You requisite to add the contents of the id_rsa.pub to the authorized_keys file on the RHEL guest. The following steps were used on a local system and are not best practices for this process. In a managed server environment your IT should relish a best drill for doing this. If this is the first guest in your VirtualBox then it should relish an ip of 10.1.2.101, if it has another ip then you will requisite to supersede for the following. For this blog gratify execute the following steps # cd ~/.ssh/ # scp id_rsa.pub 10.1.2.101: # ssh 10.1.2.101 # mkdir .ssh # cat id_rsa.pub > ~/.ssh/authorized_keys # chmod 700 /root/.ssh # chmod 600 /root/.ssh/authorized_keys
  • SELinux may obscure 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 exist 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 entire network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the name 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of entire network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the name 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of entire network cards.
  • Click on Next.
  • Ensure the complete Clone option is selected.
  • Click on Clone.
  • The final step for getting the systems ready will exist to configure the hostnames, host-only ip and the host files. They will requisite to also ensure that the systems can communicate on the port for MongoDB, so they will disable the firewall which is not meant for production purposes but you will requisite to contact your IT departments on how they manage opening of ports.

    Normally in a production environment, you would relish 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 exist using will exist as follows:

    To finish so on each of the guests finish 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 exist 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 preempt values from the table above.  # hostnamectl set-hostname "mongo-db1" --static
  • Edit the hosts file adding the following to etc/hosts, you should also finish 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 exist 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 exist used to manage up to thousands of discrete MongoDB clusters in a tenants-per-cluster mode — isolating cluster users to specific clusters.

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

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

    Once a MongoDB cluster is successfully deployed by Ops Manager, the cluster’s connection string can exist easily generated (in the case of a MongoDB replica set, this will exist the three hostname:port pairs separated by commas). An OpenShift application can then exist 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 invert is not necessary; in other words, Ops Manager does not requisite to exist 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 comfort 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 exist simple enough to login and speed the commands as seen in the Ops Manager agent installation information. However they relish created an ansible playbook that you will requisite to change to customize.

    The playbook looks like:

    - hosts: mongoDBNodes vars: OpsManagerCentralURL: <baseURL> mmsGroupId: <groupID> mmsApiKey: <ApiKey> remote_user: root tasks: - name: install automation agent RPM from OPS manager instance @ {{ OpsManagerCentralURL }} yum: name={{ OpsManagerCentralURL }}/download/agent/automation/mongodb-mms-automation-agent-manager-latest.x86_64.rhel7.rpm state=present - name: write the MMS Group ID as {{ mmsGroupId }} lineinfile: dest=/etc/mongodb-mms/automation-agent.config regexp=^mmsGroupId= line=mmsGroupId={{ mmsGroupId }} - name: write the MMS API Key as {{ mmsApiKey }} lineinfile: dest=/etc/mongodb-mms/automation-agent.config regexp=^mmsApiKey= line=mmsApiKey={{ mmsApiKey }} - name: write the MMS 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 requisite to customize it with the information you gathered from the Ops Manager.

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

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

    Once this is done you are ready to speed 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 speed the playbook you requisite to execute the command as root:

    ansible-playbook –v mongodb-agent-playbook.yml

    Use MongoDB Ops Manager to create a MongoDB Replica Set and add database users with preempt access rights:

  • Verify that entire of the Ops Manager agents relish started in the MongoDB Ops Manager group’s Deployment interface.
  • Navigate to "Add” > ”New Replica Set" and define a Replica Set with desired configuration (MongoDB 3.2, default settings).
  • Navigate to "Authentication & SSL Settings" in the "..." menu and enable MongoDB Username/Password (SCRAM-SHA-1) Authentication.
  • Navigate to the "Authentication & Users" panel and add a database user to the sampledb a. Add the testUser@sampledb user, with password set to "password", and with Roles: readWrite@sampledb dbOwner@sampledb dbAdmin@sampledb userAdmin@sampledb Roles.
  • Click Review & Deploy.
  • OpenShift Continuous Deployment

    Up until now, we’ve explored the Red Hat container ecosystem, the Red Hat Container progress Kit (CDK), OpenShift as a local deployment, and OpenShift in production. In this final section, we’re going to heave a search for at how a team can heave edge of the advanced features of OpenShift in order to automatically slither original versions of applications from progress to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the plane of automation).

    OpenShift supports different setups depending on organizational requirements. Some organizations may speed a completely separate cluster for each environment (e.g. dev, staging, production) and others may expend a single cluster for several environments. If you speed a separate OpenShift PaaS for each environment, they will each relish their own dedicated and isolated resources, which is costly but ensures isolation (a problem with the progress cluster cannot affect production). However, multiple environments can safely speed on one OpenShift cluster through the platform’s support for resource isolation, which allows nodes to exist dedicated to specific environments. This means you will relish one OpenShift cluster with common masters for entire environments, but dedicated nodes assigned to specific environments. This allows for scenarios such as only allowing production projects to speed 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 exist 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 exist 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 exist using a progress environment provisioned in a remote OpenShift cluster.

    To slither code between environments, they can heave edge of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those create on Docker Hub — it is a collection of related images with identifying names or “tags”. An image stream can refer to images in Docker repositories (both local and remote) or other image streams. However, the killer feature is that OpenShift will generate notifications whenever an image stream changes, which they can easily configure projects to listen and react to. They can note this in the diagram above — when the developer is ready for their changes to exist picked up by the next environment in line, they simply tag the image appropriately, which will generate an image stream notification that will exist picked up by the staging environment. The staging environment will then automatically rebuild and redeploy any containers using this image (or images who relish the changed image as a foundation layer). This can exist fully automated by the expend of Jenkins or a similar CI tool; on a check-in to the source control repository, it can speed a test-suite and automatically tag the image if it passes.

    To slither between staging and production they can finish exactly the same thing — Jenkins or a similar tool could speed 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 original versions. This would exist exact Continuous Deployment — where a change made in dev will propagate automatically to production without any manual intervention. Many organizations may instead opt for Continuous Delivery — where there is still a manual “ok” required before changes hit production. In OpenShift this can exist easily done by requiring the images in staging to exist tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s search for at a actual example of pushing an application from progress 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 example assumes that both environments are hosted on the same OpenShift cluster, but it can exist easily adapted to allow promotion to another OpenShift instance by using a common registry.

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

    $ oc login -u openshift-dev

    Now we’ll create two original 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 exist their progress environment (mlbparks):

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

    After you speed this command you should exist in the context of the progress project (mlbparks). We’ll start by creating an external service to the MongoDB database replica-set.

    Openshift allows us to access external services, allowing their projects to access services that are outside the control of OpenShift. This is done by defining a service with an vacant selector and an endpoint. In some cases you can relish multiple IP addresses assigned to your endpoint and the service will act as a load balancer. This will not work with the MongoDB replica set as you will encounter issues not being able to connect to the PRIMARY node for writing purposes. To allow for this in this case you will requisite to create one external service for each node. In their case they relish three nodes so for illustrative purposes they relish three service files and three endpoint files.

    Service Files: replica-1_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-1" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-1_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-1" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.10" } ], "ports": [ { "port": 27017 } ] } ] }

    replica-2_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-2" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-2_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-2" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.11" } ], "ports": [ { "port": 27017 } ] } ] }

    replica-3_service.json

    { "kind": "Service", "apiVersion": "v1", "metadata": { "name": "replica-3" }, "spec": { "selector": { }, "ports": [ { "protocol": "TCP", "port": 27017, "targetPort": 27017 } ] } }

    replica-3_endpoints.json

    { "kind": "Endpoints", "apiVersion": "v1", "metadata": { "name": "replica-3" }, "subsets": [ { "addresses": [ { "ip": "10.1.2.12" } ], "ports": [ { "port": 27017 } ] } ] }

    Using the above replica files you will requisite to speed 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 relish 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). entire of the environment variables are in the mlbparks-template.json, so they will first create a template then create their original 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. speed 'oc status' to view your app.

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

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

    We can salvage the name of the image created by the build with the abet of the recount command:

    $ oc recount 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 drag 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 exist 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 drag the image from the progress repository, they requisite to grant drag 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 original policy is in place, they can check the rolebindings: $ oc salvage 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 relish an image that can exist 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 same 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 portion we’ll exist using the image stream created in the progress project that was tagged “production”:

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

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

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

    We will now demonstrate the faculty to both automatically slither original items to production, but they will also prove how they can update an application without having to update the MongoDB schema. They relish 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 progress project:

    $ oc project mlbparks Now using project "mlbparks" on server "https://10.1.2.2:8443". And start a original build based on the relegate “8a58785”: $ oc start-build mlbparks --git-repository=https://github.com/macurwen/openshift3mlbparks/tree/division --commit='8a58785'

    Traditionally with a RDBMS if they want to add a original factor to in their application to exist persisted to the database, they would requisite to design the changes in the code as well as relish a DBA manually update the schema at the database. The following code is an example of how they can modify the application code without manually making changes to the MongoDB schema.

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

    Once the build finishes running, a deployment task will start that will supersede the running container. Once the original version is deployed, you should exist able to note East under Toronto for example.

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

    OK, we’re gay with the change, let’s tag it ready for production. Again, speed oc to salvage 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 original image to the production environment.

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

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

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


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

    Synopsis

    Now available in paperback-

    IBM's DB2 Express Edition is one of the most capable of the free database platforms available in today's marketplace. In soar DB2, author grant Allen gets you started using DB2 Express Edition for web sites, desktop applications, and more. The author covers the basics of DB2 for developers and database administrators, shows you how to manage data in both XML and relational form, and includes numerous code examples so that you are never in doubt as to how things work. In this book, you'll find:

    A friendly introduction to DB2 Express Edition, an industrial-strength, relational database from IBM

    Dozens of examples so that you are never in doubt as to how things work

    Coverage of necessary language interfaces, such as from PHP, Ruby, C#, Python, and more

    The engage is aimed at developers who want a robust database to back their applications.

    Grant Allen has worked in the IT field for over 20 years, as a CTO, enterprise architect, and database administrator. Grant's roles relish covered private enterprise, academia and the government sector around the world, specialising in global-scale systems design, development, and performance. He is a frequent speaker at industry and academic conferences, on topics ranging from data mining to compliance, and technologies such as databases (DB2, Oracle, SQL Server, MySQL), content management, collaboration, disruptive innovation, and mobile ecosystems dote Android. His first Android application was a task list to remind him to finish entire his other unfinished Android projects. grant works for Google, and in his spare time is completing a Ph.D on edifice innovative high-technology environments. grant is the author of soar DB2, and lead author of Oracle SQL Recipes and The Definitive lead to SQLite.

    More books by grant Allen

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    VCE [6 Certification Exam(s) ]
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    Vmware [58 Certification Exam(s) ]
    Wonderlic [2 Certification Exam(s) ]
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    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





    References :


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