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C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

Test Code : C2090-610
Test cognomen : DB2 10.1 Fundamentals
Vendor cognomen : IBM
: 138 actual Questions

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IBM IBM DB2 10.1 Fundamentals

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

here excerpt from DB2 9 Fundamentals: Certification resolve ebook, written by Roger E. Sanders, is reprinted with license from MC Press. study the complete Chapter 1, A ebook to the IBM DB2 9 certification examination in case you believe taking a DB2 9 Fundamentals certification examination could breathe your subsequent career stream.

The IBM DB2 9 certification process

a nearby examination of the IBM certification roles purchasable immediately displays that, with the goal to obtain a selected DB2 9 certification, you must lift and circulate one or more exams that fondness been designed notably for that certification position. (each and every examination is a utility-based exam it truly is neither platform -- nor product-specific.) as a result, once you fondness chosen the certification role you need to pursue and familiarized yourself with the requirements for that particular function, the next step is to prepare for and lift the acceptable certification assessments.

preparing for the IBM DB2 9 certification exams

you probably fondness adventure using DB2 9 within the context of the certification role you've got chosen, you can furthermore already possess the learning and learning obligatory to flood the examination(s) required for that position. despite the fact, in case your undergo with DB2 9 is proscribed (and notwithstanding it isn't), that you can build together for any of the certification checks available with the aid of taking odds of here supplies:

  • Formal schooling
  • IBM studying capabilities presents lessons that are designed to aid you build together for DB2 9 certification. a listing of the courses which are recommended for each certification exam can breathe discovered the usage of the Certification Navigator device offered on IBM's "professional Certification program from IBM " internet site. informed classes can even breathe found at IBM's "DB2 statistics management" internet site. For extra information on path schedules, areas, and pricing, contact IBM gaining learning of services or consult with their web web page.

  • on-line tutorials
  • IBM offers a train of seven interactive on-line tutorials designed to build together you for the DB2 9 Fundamentals examination (examination 730). IBM furthermore 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 utility structure examination (exam 733).

  • Publications
  • all of the counsel you should pass any of the obtainable certification tests will furthermore breathe present in the documentation that is supplied with DB2 9. a complete set of manuals comes with the product and are obtainable during the information middle after getting installed the DB2 9 application. DB2 9 documentation can even breathe downloaded from IBM's web website in both HTML and PDF formats. @39202

    Self-look at books (equivalent to this one) that center of attention on one or more DB2 9 certification tests/roles are furthermore attainable. most of these books will furthermore breathe discovered at your local book shop or ordered from many online e-book retailers. (a catalogue of viable reference materials for each certification exam will furthermore breathe discovered using the Certification Navigator instrument offered on IBM's "expert Certification software from IBM" internet web page.)

    besides the DB2 9 product documentation, IBM often produces manuals, referred to as "RedBooks," that cowl advanced DB2 9 issues (in addition to different topics). These manuals are available as downloadable PDF information on IBM's RedBook web web site. Or, if you favor to fondness a positive tough reproduction, that you could gleam one for a modest fee with the aid of following the applicable hyperlinks on the RedBook web web page. (There is not any imbue for the downloadable PDF data.)

  • exam aims
  • goals that deliver an profile of the simple topics which are covered on a specific certification examination can breathe found the usage of the Certification Navigator device provided on IBM's "professional Certification application from IBM" web website. examination goals for the DB2 9 household Fundamentals exam (examination 730) can even breathe present in Appendix A of this ebook.

  • sample questions/assessments
  • pattern questions and pattern exams breathe substantive you can circle into benchmark with the structure and wording used on the actual certification assessments. they can aid you resolve no matter if you possess the abilities mandatory to flood a particular exam. sample questions, along with descriptive answers, are provided at the quit of every chapter in this book and in Appendix B. pattern exams for every DB2 9 certification role obtainable will furthermore breathe discovered the utilize of the Certification examination instrument provided on IBM's "skilled Certification application from IBM" web web site. there's a $10 cost for each exam taken.

    it is vital to breathe vigilant that the certification tests are designed to breathe rigorous. Very unavoidable solutions are anticipated for most examination questions. because of this, and because the latitude of material covered on a certification examination is constantly broader than the learning base of many DB2 9 gurus, originate positive to lift potential of the examination practise components obtainable in case you need to assure your success in obtaining the certification(s) you desire.

  • The relaxation of this chapter details every accessible DB2 9 certifications and includes lists of cautioned objects to know before taking the exam. It additionally describes the layout of the checks and what to are expecting on exam day. study the complete Chapter 1: A book to the IBM DB2 9 certification exam to learn greater.


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

    No upshot discovered, are attempting novel keyword!Fundamentals of IBM could breathe reviewed in here themes under ... lately, on June 19, I trimmed Boeing (NYSE:BA) from 10.1% of the portfolio to 9.6%. it's a fine business, however you need to breathe di...

    Mainframe statistics Is Your secret Sauce: A Recipe for statistics protection | killexams.com actual Questions and Pass4sure dumps

    Mainframe statistics Is Your secret Sauce: A Recipe for information insurance policy July 31, 2017  |  with the aid of Kathryn Zeidenstein A chef drizzling sauce on a plate of food.

    Bigstock

    Share Mainframe statistics Is Your secret Sauce: A Recipe for facts coverage on Twitter participate Mainframe information Is Your secret Sauce: A Recipe for facts insurance project on fb participate Mainframe data Is Your secret Sauce: A Recipe for information coverage on LinkedIn

    We in the safety box fondness to utilize metaphors to back illustrate the magnitude of facts within the business. I’m a big fan of cooking, so I’ll utilize the metaphor of a secret sauce. respect about it: each transaction in fact reflects your firm’s challenging relationship with a customer, agency or associate. via sheer volume alone, mainframe transactions supply an immense variety of ingredients that your organization makes utilize of to originate its secret sauce — improving consumer relationships, tuning give chain operations, tower novel lines of company and more.

    extremely essential records flows via and into mainframe information stores. definitely, ninety two of the remedy a hundred banks depend on the mainframe as a result of its velocity, scale and safety. additionally, greater than 29 billion ATM transactions are processed per 12 months, and 87 percent of every credit card transactions are processed in the course of the mainframe.

    Safeguarding Your secret Sauce

    the excitement has been astonishing for the simultaneous IBM z14 announcement, which includes pervasive encryption, tamper-responding key management and even encrypted software software interfaces (APIs). The pace and scale of the pervasive encryption solution is breathtaking.

    Encryption is a basic expertise to protect your secret sauce, and the brand novel convenient-to-use crypto capabilities in the z14 will originate encryption a no-brainer.

    With every of the exhilaration round pervasive encryption, even though, it’s famous not to fail to notice yet another factor that’s essential for statistics safety: records undertaking monitoring. imagine every the functions, features and administrators as cooks in a kitchen. How can you originate positive that individuals are correctly following the recipe? How achieve you originate unavoidable that they aren’t jogging off with your secret sauce and growing competitive recipes or selling it on the black market?

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

    information protection and activity Monitoring

    facts exercise monitoring provides insights into access behavior — that is, the who, what, where and when of entry for DB2, the counsel management system (IMS) and the file gadget. for example, by using information pastime monitoring, you can breathe able to inform no matter if the top chef (i.e., the database or gadget administrator) is working from a distinct area or working irregular hours.

    additionally, statistics activity monitoring raises the visibility of surprising error circumstances. If an utility begins throwing a few extraordinary database error, it may well breathe a demonstration that an SQL injection attack is underway. Or perhaps the utility is barely poorly written or maintained — most likely tables were dropped or application privileges fondness modified. This visibility can back companies cleave back database overhead and risk via bringing these issues to mild.

    Then there’s compliance, each person’s favorite theme. You deserve to breathe capable of prove to auditors that compliance mandates are being followed, even if that includes monitoring privileged users, not enabling unauthorized database adjustments or tracking every access to imbue card industry (PCI) information. With the eu’s customary facts protection legislation (GDPR) set to lift repercussion in may additionally 2018, the stakes are even bigger.

    Automating believe, Compliance and safety

    As allotment of a finished statistics insurance policy approach for the mainframe, IBM security Guardium for z/OS provides distinctive, granular, actual-time recreation monitoring capabilities as well as precise-time alerting, out-of-the-box compliance reporting and an abominable lot more. The most up-to-date liberate, 10.1.three, provides statistics insurance project improvements in addition to efficiency improvements to back retain your prices and overhead down.

    Your mainframe records is valuable — it's your secret sauce. As such, it will breathe stored beneath lock and key, and monitored constantly.

    To breathe taught extra about monitoring and maintaining information in mainframe environments, watch their on-demand webinar, “Your Mainframe environment Is a Treasure Trove: Is Your elegant statistics included?”

    Tags: Compliance | information coverage | Encryption | Mainframe | Mainframe protection | payment Card trade (PCI) Kathryn Zeidenstein

    expertise Evangelist and group recommend, IBM safety Guardium

    Kathryn Zeidenstein is a expertise evangelist and group recommend for IBM safety Guardium records insurance policy... 13 Posts What’s new
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  • protection Intelligence Podcast Share this text: Share Mainframe records Is Your secret Sauce: A Recipe for records insurance project on Twitter participate Mainframe records Is Your secret Sauce: A Recipe for statistics insurance project on fb participate Mainframe data Is Your secret Sauce: A Recipe for statistics insurance policy on LinkedIn more on information coverage Lighthouse shines across water at night: security predictions ArticleIBM X-force protection Predictions for the 2019 Cybercrime threat panorama Network servers in a data center: cloud security ArticleEnterprise security: Cloud-y With an opening of facts Breaches Students at computers in a cybersecurity education course ArticleFrom Naughty to fine: most fulfilling Practices for okay–12 Cybersecurity schooling Man working on his laptop in a coffee shop: cybersecurity challenges PodcastPodcast: Cybersecurity Challenges dealing with Telecommunications and Media enjoyment


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    C2090-610 exam Dumps Source : DB2 10.1 Fundamentals

    Test Code : C2090-610
    Test cognomen : DB2 10.1 Fundamentals
    Vendor cognomen : IBM
    : 138 actual Questions

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    killexams.com gave me an extraordinary practise tool. I used it for my C2090-610 exam and were given a most rating. i really fondness the way killexams.com does their examination preparation. essentially, that is a sell off, so you glean questions which can breathe used on the actual C2090-610 assessments. however the trying out engine and the exercise examination format back you memorize it every very well, so you grow to breathe getting to know matters, and can breathe able to draw upon this expertise within the destiny. superb best, and the checking out engine is very light and consumer pleasant. I didnt encounter any issues, so this is exceptional cost for cash.


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

    "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 uphold 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 talent to automate essential processes via their high-performance server products, gives their customers a distinct odds when structure and deploying applications."

    A few of the novel 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 identical hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce®, and SchemaAgent®, delivering lightning quick validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to uphold the very latest of every germane 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 famous uphold for XML Schema 1.1 validation and editing. The latest version of the XML Schema standard, 1.1 adds novel features aimed at making schemas more resilient and adaptable to traffic 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 easy to understand and implement these novel features.

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

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

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

    Support for XPath in XMLSpy 2014 has been updated to include the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful novel functionality such as: dynamic role cells, inline role expressions, and uphold for union types to cognomen just a few. Full uphold for novel 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. tickle note that a subset of XSLT 3.0 is supported since the benchmark is quiet a working draft that continues to evolve. XSLT 3.0 uphold conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, uphold in XMLSpy now gives developers the talent to start working with this novel version immediately.

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

    Story continues

    As with XSLT and XPath, XMLSpy uphold for XQuery now furthermore includes a subset of version 3.0. Developers will now fondness 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 novel functions and operators added in XPath 3.0, such as a novel string concatenation operator, map operator, math functions, sequence processing, and more -- every of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

    New Database Support:

    Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision®, DatabaseSpy®, UModel®, and DiffDog®, now include complete uphold for newer versions of previously supported databases, as well as uphold for novel database vendors:

  • Informix® 11.70
  • PostgreSQL versions 9.0.10/9.1.6/9.2.1
  • MySQL® 5.5.28
  • IBM DB2® versions 9.5/9.7/10.1
  • Microsoft® SQL Server® 2012
  • Sybase® ASE (Adaptive Server Enterprise) 15/15.7
  • Microsoft Access™ 2010/2013
  • New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's novel line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential traffic processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using familiar Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires involved database queries or needs to originate its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to forestall 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 august application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of novel features, supported standards, and tribulation downloads tickle 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 haughty to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

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


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

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

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

    MongoDB is the next-generation database that is built for rapid and iterative application development. Its resilient data model — the talent to incorporate both structured or unstructured data — allows developers to build applications faster and more effectively than ever before. Enterprises can dynamically modify schemas without downtime, resulting in less time preparing data for the database, and more time putting data to work. MongoDB documents are more closely aligned to the structure of objects in a programming language. This makes it simpler and faster for developers to model how data in the application will map to data stored in the database, resulting in better agility and rapid development.

    MongoDB Ops Manager (also available as the hosted MongoDB Cloud Manager service) features visualization, custom dashboards, and automated alerting to back manage a involved environment. Ops Manager tracks 100+ key database and systems health metrics including operations counters, CPU utilization, replication status, and any node status. The metrics are securely reported to Ops Manager where they are processed and visualized. Ops Manager can furthermore 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 undergo 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 follow this example, you will need to meet a number of requirements. You will need a system with 16 GB of RAM and a RHEL 7.2 Server (we used an instance with a GUI for simplicity). The following software is furthermore required:

  • Ansible
  • Vagrant
  • VirtualBox
  • Ansible Install

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

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

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

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

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

    To install/enable the EPEL repository you will need to achieve the following:

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

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

    $ sudo yum install ansible Vagrant Install

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

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

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

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

    VirtualBox is best done using a repository to ensure you can glean updates. To achieve this you will need to follow these steps:

  • You will want to download the repo file:
  • $ wget http://download.virtualbox.org/virtualbox/rpm/el/virtualbox.repo $ mv virtualbox.repo /etc/yum.repos.d $ sudo yum install VirtualBox-5.0

    Once the install is complete you will want to launch VirtualBox and ensure that the Guest Network is on the remedy subnet as the CDK has a default for it setup. The blog will leverage this default as well. To verify that the host is on the remedy domain:

  • Open VirtualBox, this should breathe under you Applications->System Tools menu on your desktop.
  • Click on File->Preferences.
  • Click on Network.
  • Click on the Host-only Networks, and a popup of the VirtualBox preferences will load.
  • There should breathe a vboxnet0 as the network, click on it and click on the edit icon (looks fondness 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 elope the identical way on every platform. However, modern microservice deployments typically utilize a scheduler such as Kubernetes to elope 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 easy to elope involved deployments resembling production. This means involved applications can breathe developed using production grade tools from the very start, import developers are unlikely to undergo 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 proceed through the entire workflow. By the quit of this blog post you will know how to elope an application on top of OpenShift and will breathe familiar with the core features of the CDK and OpenShift. Let’s glean started…

    Installing the CDK

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

    Start by going to Red Hat Product Downloads (note that you will need a Red Hat subscription to access this). Select ‘Red Hat Container progress Kit’ under Product Variant, and the confiscate 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 back you start the Vagrant box. In the components subfolder you will find Vagrant files that will configure the virtual machine for you. The plugins folder contains the Vagrant add-ons that will breathe used to register the novel virtual machine with the Red Hat subscription and to configure networking.

    Unzip the container tools archive into the root of your user folder and install the Vagrant add-ons.

    $ cd ~/cdk/plugins $ vagrant plugin install vagrant-registration vagrant-adbinfo landrush vagrant-service-manager

    You can check if the plugins were actually installed with this command:

    $ vagrant plugin list

    Add the box you downloaded into Vagrant. The path and the cognomen may vary depending on your download folder and the box version:

    $ vagrant box add --name cdkv2 \ ~/Downloads/rhel-cdk-kubernetes-7.2-13.x86_64.vagrant-virtualbox.box

    Check that the vagrant box was properly added with the box list command:

    $ vagrant box list

    We will utilize the Vagrantfile that comes shipped with the CDK and has uphold for OpenShift.

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

    In order to utilize the landrush plugin to configure the DNS they need to add the following two lines to the Vagrantfile exactly as below (i.e. PUBLIC_ADDRESS is a property in the Vagrantfile and does not need to 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 fondness a working instance of OpenShift running inside a virtual machine. This instance can talk to the Red Hat Registry to download images for the most common application stacks. You furthermore glean a private Docker registry for storing images. Docker, Kubernetes, OpenShift and Atomic App CLIs are furthermore installed.

    Now that they fondness 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 furthermore utilize your Red Hat credentials to login. In the console, they create a novel project:

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

    For this application, they will utilize the source code from the OpenShift GitHub repository located here. If you want to follow along with the webhook steps later, you’ll need to fork this repository into your own. Once you’re ready, enter the URL of your repo into the SOURCE_REPOSITORY_URL field:

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

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

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

    In order to utilize the Landrush plugin, there is additional steps that are required to configure dnsmasq. To achieve that you will need to achieve the following:

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

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

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

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

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

    We now fondness Continuous Deployment configured for their application. Throughout this blog post, we’ve used the OpenShift web interface. However, they could fondness performed the identical 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 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. every of the containers in the pod will participate local storage and networking.

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

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

    Replication Controllers

    These manage the lifecycle of Pods.They ensure that the remedy number of Pods are always running by monitoring the application and stopping or creating Pods as appropriate.

    Services

    Pods are grouped into services. Their architecture now has four services: three for the database (MongoDB) and one for the application server JBoss.

    Deployments

    With every novel code relegate (assuming you set-up the GitHub webhooks) OpenShift will update your application. novel pods will breathe started with the back of replication controllers running your novel application version. The veteran pods will breathe deleted. OpenShift deployments can execute rollbacks and provide various deploy strategies. It’s hard to overstate the advantages of being able to elope a production environment in progress and the efficiencies gained from the quick feedback cycle of a Continuous Deployment pipeline.

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

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

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

    Please execute the following steps:

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

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

  • Become the root user $ sudo -i
  • Generate your ssh keys. achieve not add a passphrase when requested.  # ssh-keygen
  • You need to add the contents of the id_rsa.pub to the authorized_keys file on the RHEL guest. The following steps were used on a local system and are not best practices for this process. In a managed server environment your IT should fondness a best exercise for doing this. If this is the first guest in your VirtualBox then it should fondness an ip of 10.1.2.101, if it has another ip then you will need to supersede for the following. For this blog tickle 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 bury 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 base 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 cognomen 7.2 RH Mongo-DB1.
  • Ensure to click the Reinitialize the MAC Address of every network cards.
  • Click on Next.
  • Ensure the replete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the cognomen 7.2 RH Mongo-DB2.
  • Ensure to click the Reinitialize the MAC Address of every network cards.
  • Click on Next.
  • Ensure the replete Clone option is selected.
  • Click on Clone.
  • Right click on the RHEL guest OS and select Clone.
  • Enter the cognomen 7.2 RH Mongo-DB3.
  • Ensure to click the Reinitialize the MAC Address of every network cards.
  • Click on Next.
  • Ensure the replete 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 need to furthermore ensure that the systems can communicate on the port for MongoDB, so they will disable the firewall which is not meant for production purposes but you will need to contact your IT departments on how they manage opening of ports.

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

    The information they will breathe using will breathe as follows:

    To achieve so on each of the guests achieve the following:

  • Log in.
  • Find your host only network interface by looking for the interface on the host only network 10.1.2.0/24: # sudo ip addr
  • Edit the network interface, in their case the interface was enp0s8: # sudo vi /etc/sysconfig/network-scripts/ifcfg-enp0s8
  • You will want to change the ONBOOT and BOOTPROTO to the following and add the three lines for IP address, netmask, and Broadcast. Note: the IP address should 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 quit firewalld # systemctl disable firewalld
  • Edit the hostname using the confiscate values from the table above.  # hostnamectl set-hostname "mongo-db1" --static
  • Edit the hosts file adding the following to etc/hosts, you should furthermore achieve this on the guest: 10.1.2.10 mongo-db1 10.1.2.11 mongo-db2 10.1.2.12 mongo-db3
  • Restart the guest.
  • Try to SSH by hostname.
  • Also, try pinging each guest by hostname from guests and host.
  • Ops Manager

    MongoDB Ops Manager can 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 distinct MongoDB clusters in a tenants-per-cluster fashion — isolating cluster users to specific clusters.

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

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

    Once a MongoDB cluster is successfully deployed by Ops Manager, the cluster’s connection string can 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 utilize the connection string and authentication credentials to this MongoDB cluster.

    To utilize Ops Manager with Ansible and OpenShift:

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

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

    The playbook looks like:

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

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

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

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

    Once this is done you are ready to elope 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 elope the playbook you need to execute the command as root:

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

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

  • Verify that every of the Ops Manager agents fondness 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 lift a notice at how a team can lift odds of the advanced features of OpenShift in order to automatically glide novel versions of applications from progress to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the level of automation).

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

    OpenShift integrates well with existing Continuous Integration / Continuous Delivery tools. Jenkins, for example, is available for utilize inside the platform and can 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 prove workflows can breathe constructed out of the OpenShift fundamentals.

    A Continuous Delivery Pipeline with CDK and OpenShift Enterprise

    The workflow of their continuous delivery pipeline is illustrated below:

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

    To glide code between environments, they can lift odds of the image streams concept in OpenShift. An image stream is superficially similar to an image repository such as those found on Docker Hub — it is a collection of related images with identifying names or “tags”. An image stream can mention to images in Docker repositories (both local and remote) or other image streams. However, the killer feature is that OpenShift will generate notifications whenever an image stream changes, which they can easily configure projects to listen and react to. They can notice this in the diagram above — when the developer is ready for their changes to 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 fondness the changed image as a base layer). This can breathe fully automated by the utilize of Jenkins or a similar CI tool; on a check-in to the source control repository, it can elope a test-suite and automatically tag the image if it passes.

    To glide between staging and production they can achieve exactly the identical thing — Jenkins or a similar instrument could elope a more thorough set of system tests and if they pass tag the image so the production environment picks up the changes and deploys the novel versions. This would breathe staunch 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 quiet a manual “ok” required before changes hit production. In OpenShift this can breathe easily done by requiring the images in staging to breathe tagged manually before they are deployed to production.

    Deployment of an OpenShift Application

    Now that we’ve reviewed the workflow, let’s notice at a actual specimen of pushing an application from progress to production. They will utilize the simple MLB Parks application from a previous blog post that connects to MongoDB for storage of persistent data. The application displays various information about MLB parks such as league and city on a map. The source code is available in this GitHub repository. The specimen assumes that both environments are hosted on the identical 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 fondness a working OpenShift instance, you can quickly glean started by using the CDK, which they furthermore covered in an earlier blogpost. Start by logging in to OpenShift using your credentials:

    $ oc login -u openshift-dev

    Now we’ll create two novel projects. The first one represents the production environment (mlbparks-production):

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

    And the second one will breathe their progress environment (mlbparks):

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

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

    Openshift allows us to access external services, allowing their projects to access services that are outside the control of OpenShift. This is done by defining a service with an empty selector and an endpoint. In some cases you can fondness 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 need to create one external service for each node. In their case they fondness three nodes so for illustrative purposes they fondness three service files and three endpoint files.

    Service Files: replica-1_service.json

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

    replica-1_endpoints.json

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

    replica-2_service.json

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

    replica-2_endpoints.json

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

    replica-3_service.json

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

    replica-3_endpoints.json

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

    Using the above replica files you will need to elope 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 fondness the endpoints for the external replica set created they can now create the MLB parks using a template. They will utilize the source code from their demo GitHub repo and the s2i build strategy which will create a container for their source code (note this repository has no Dockerfile in the offshoot they use). every of the environment variables are in the mlbparks-template.json, so they will first create a template then create their novel app:

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

    We can glean the cognomen of the image created by the build with the back 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 pull Spec: 172.30.76.179:5000/mlbparks/mlbparks Tag Spec Created PullSpec Image latest <pushed> 7 minutes ago 172.30.76.179:5000/mlbparks/mlbparks@sha256:5f50e1ffbc5f4ff1c25b083e1698c156ca0da3ba207c619781efcfa5097995ec

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

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

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

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

    To allow the production project to pull the image from the progress repository, they need to concede pull rights to the service account associated with production environment. Note that mlbparks-production is the cognomen of the production project:

    $ oc policy add-role-to-group system:image-puller \ system:serviceaccounts:mlbparks-production \ --namespace=mlbparks To verify that the novel policy is in place, they can check the rolebindings: $ oc glean 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 fondness 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 utilize the identical steps to access the external MongoDB as previous:

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

    For the application allotment we’ll breathe using the image stream created in the progress project that was tagged “production”:

    $ oc new-app mlbparks/mlbparks:production --> found 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 elope 'oc status' to view your app.

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

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

    We will now demonstrate the talent to both automatically glide novel items to production, but they will furthermore prove how they can update an application without having to update the MongoDB schema. They fondness created a offshoot of the code in which they will now add the division to the league for the ballparks, without updating the schema.

    Start by going back to the progress project:

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

    Traditionally with a RDBMS if they want to add a novel factor to in their application to breathe persisted to the database, they would need to originate the changes in the code as well as fondness a DBA manually update the schema at the database. The following code is an specimen of how they can modify the application code without manually making changes to the MongoDB schema.

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

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

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

    OK, we’re glad with the change, let’s tag it ready for production. Again, elope oc to glean the ID of the image tagged latest, which they can then tag as production:

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

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

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

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

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


    MySQL Stored Procedure Programming | killexams.com actual questions and Pass4sure dumps

    Written by Guy Harrison and Steven Feuerstein, and published by O'Reilly Media in March 2006 under the ISBNs 0596100892 and 978-0596100896, this book is the first one to offer database programmers a replete discussion of the syntax, usage, and optimization of MySQL stored procedures, stored functions, and triggers — which the authors wisely mention to collectively as "stored programs," to simplify the manuscript. Even a year after the introduction of these novel capabilities in MySQL, they fondness received remarkably exiguous coverage by book publishers. Admittedly, there are three such chapters in MySQL Administrator's guide and Language Reference (2nd Edition), written by some of the developers of MySQL, and published by MySQL Press. Yet this latter book — even though published a month after O'Reilly's — devotes fewer than 50 pages to stored programs, and the material is not in the printed book itself, but in the "MySQL Language Reference" part, on the accompanying CD. That material, in conjunction with the online reference documentation, may breathe sufficient for the more simple stored program progress needs. But for any MySQL developer who wishes to understand in-depth how to originate the most of this novel functionality in version 5.0, they will likely need a much more substantial treatment — and that's exactly what Harrison and Feuerstein fondness created.

    The authors are generous in both the technical information and progress advice that they offer. The book's material spans 636 pages, organized into 23 chapters, grouped into four parts, followed by an index. The first part, "Stored Programming Fundamentals," provides an introduction and then a tutorial, both taking a broad view of MySQL stored programs. The remaining four chapters cover language fundamentals; blocks, conditional statements, and iterative programming; SQL; and error handling. The book's second part, "Stored Program Construction," may breathe considered the heart of the book, because its five chapters present the details of creating stored programs in general, using transaction management, using MySQL's built-in functions, and creating one's own stored functions, as well as triggers. The third part, "Using MySQL Stored Programs and Applications," explains some of the advantages and disadvantages of stored programs, and then illustrates how to convoke those stored programs from source code written in any one of five different programming languages: PHP, Java, Perl, Python, and Microsoft.NET. In the fourth and final part, "Optimizing Stored Programs," the authors focus on the security and tuning of stored programs, tuning SQL, optimizing the code, and optimizing the progress process itself.

    This is a substantial book, encompassing a mighty deal of technical as well as advisory information. Consequently, no review such as this can hope to relate or critically observation upon every section of every chapter of every part. Yet the overall character and utility of the manuscript can breathe discerned simply by choosing just one of the aforesaid Web programming languages, and writing some code in that language to convoke some MySQL stored procedures and functions, to glean results from a test database — and developing every of this code while relying solely upon the book under review. Creating some simple stored procedures, and calling them from some PHP and Perl scripts, demonstrated to me that MySQL Stored Procedure Programming contains more than enough coverage of the topics to breathe an invaluable guide in developing the most common functionality that a programmer would need to implement.

    The book appears to fondness very few aspects or specific sections in need of improvement. The discussion of variable scoping, in Chapter 4, is too cursory (no database pun intended). In terms of the book's sample code, I found countless cases of inconsistency of formatting — specifically, operators such as "||" and "=" being jammed up against their adjacent elements, without any whitespace to help readability. These minor flaws could breathe easily remedied in the next edition. Some programming books originate similar mistakes, but throughout their text, which is even worse. Fortunately, most of the code in this book is neatly formatted, and the variable and program names are generally descriptive enough.

    Some of the book's material could fondness been left out without mighty loss — thereby reducing the book's size, weight, and presumably price. The two chapters on basic and advanced SQL tuning accommodate techniques and recommendations covered with equal skill in other MySQL books, and were not needed in this one. On the other hand, slipshod developers who churn out lamentable code might squabble that the ultimate chapter, which focuses on best programming practices, could furthermore breathe excised; but those are the very individuals who need those recommendations the most.

    Fortunately, the few weaknesses in the book are completely overwhelmed by its positive qualities, of which there are many. The coverage of the topics is quite extensive, but without the repetition often seen in many other technical books of this size. The explanations are written with clarity, and provide enough detail for any experienced database programmer to understand the universal concepts, as well as the specific details. The sample code effectively illustrates the ideas presented in the narration. The font, layout, organization, and fold-flat binding of this book, every originate it a joy to read — as is characteristic of many of O'Reilly's titles.

    Moreover, any programming book that manages to lighten the load of the reader by offering a finger of humor here and there, cannot breathe every bad. Steven Feuerstein is the author of several well-regarded books on Oracle, and it was nice to notice him poke some fun at the database heavyweight, in his preference of sample code to demonstrate the my_replace() function: my_replace( 'We savor the Oracle server', 'Oracle', 'MySQL').

    The prospective reader who would fondness to learn more about this book, can consult its Web page on O'Reilly's site. There they will find both short and replete descriptions, confirmed and unconfirmed errata, a link for writing a reader review, an online table of contents and index, and a sample chapter (number 6, "Error Handling"), in PDF format. In addition, the visitor can download every of the sample code in the book (562 files) and the sample database, as a mysqldump file.

    Overall, MySQL Stored Procedure Programming is adeptly written, neatly organized, and exhaustive in its coverage of the topics. It is and likely will remain the premier printed resource for Web and database developers who want to learn how to create and optimize stored procedures, functions, and triggers within MySQL.

    Michael J. Ross is a Web programmer, freelance writer, and the editor of PristinePlanet.com's free newsletter. He can breathe reached at www.ross.ws, hosted by SiteGround.



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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
    Our ISBN10 : 129217613X
    Our ISBN13 : 9781292176130
    Subject : Business & Economics
    Price : $75.00
    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
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    Subject : Computer Science & Technology
    Price : $65.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $39.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
    ISBN13 : 9780078021787
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
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    C2090-610C2090-610
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
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    Subject : Business & Economics, Communication & Media
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    C2090-610C2090-610
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
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    Subject : Business & Economics, Communication & Media
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