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P2060-001 exam Dumps Source : IBM B2B Integration Technical Mastery(R) Test v1

Test Code : P2060-001
Test denomination : IBM B2B Integration Technical Mastery(R) Test v1
Vendor denomination : IBM
: 32 true Questions

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IBM IBM B2B Integration Technical

IBM gathers cloud issuer beneath broad Blue umbrella | killexams.com true Questions and Pass4sure dumps

IBM gathers cloud provider under big Blue umbrella
  • with the aid of David Hubler
  • Feb 01, 2012
  • IBM has accomplished its acquisition of Emptoris Inc., increasing the laptop significant’s cloud-based analytics choices.

    monetary terms of the deal, which turned into introduced in December, had been now not disclosed.

    Emptoris’ options complement IBM's provide chain administration industry system outsourcing capabilities, an offering available to shoppers through IBM world process functions.

    The solutions additionally bring more intelligence to procurement and supply-chain operations with spend, enterprise and condense management for IBM's Smarter Commerce initiative, according to the Feb. 1 IBM announcement.

    in addition, they supplement the existing B2B integration and provide-chain administration capabilities IBM bought during the buy of Sterling Commerce in 2010, the announcement added.

    established in 1999, Emptoris has more than 725 personnel every single over the world. Its 350 customers in seventy five international locations span diverse industries including consumer products, monetary services, telecommunications, chemical/oil/gas, utilities, evolution and industrial manufacturing.

    The Burlington, Mass., industry has places of work within the U.S., U.okay., France, Germany, Australia, India, Brazil and China.

    With the closing of this acquisition, Emptoris personnel will associate IBM's software group, a key driver of increase and profitability for the enterprise, the announcement stated.

    The laptop enormous announced on Jan. 31 that it is going to purchase Worklight, a Israeli issuer of mobile software for wise telephones and capsules.

    IBM Corp., of Armonk, N.Y., ranks No. 21 on Washington technology’s 2011 top a hundred checklist of the greatest federal executive contractors.

    about the author

    David Hubler is the former print managing editor for GCN and senior editor for Washington technology. he is freelance creator dwelling in Annandale, Va.


    IBM (IBM) Down 10.3% due to the fact that ultimate profits document: Can It Rebound? | killexams.com true Questions and Pass4sure dumps

    A month has passed by considering that the final revenue record for IBM (IBM). Shares occupy lost about 10.three% in that point body, underperforming the S&P 500.

    Will the contemporaneous sinister mode continue main up to its next revenue free up, or is IBM due for a breakout? earlier than they dive into how investors and analysts occupy reacted as of late, let's select a quick look on the most contemporaneous revenue file so as to glean a stronger tackle on the distinguished catalysts.

    IBM’s Q2 consequences improvement from permeate cutting, lessen Share signify number

    IBM said third-quarter 2018 non-GAAP profits of $3.42 per share, which beat the Zacks Consensus rate by means of yoke of cents. revenue per share (EPS) increased four.9% from the 12 months-ago quarter.

    The 12 months-over-12 months increase in EPS may too subsist attributed to solid pre-tax margin working leverage (28 cents contribution) and aggressive share buybacks (19 cents contribution). This was partly offset with the aid of lessen revenues (seven cents impecunious occupy an upshot on) and better tax cost (17 cents sinister impact).

    Revenues of $18.76 billion lagged the Zacks Consensus rate of $19.10 billion and declined 2.1% on a yr-over-year foundation. At steady currency (cc), revenues remained flat.

    IBM stated that signings plunged 21% to $eight billion. services backlog declined 3% from the 12 months-ago quarter to $113 billion.

    Geographic profits particulars

    Revenues from Americas inched up 1%, pushed by way of persisted boom in Canada and Latin the us and modest boom in the u.s..

    Europe, core-East and Africa decreased 2% from the yr-in the past quarter, driven by way of decline in Germany and France, partially offset by increase in Spain and the United Kingdom.

    Asia-Pacific revenues declined 1% on a year-over-yr foundation with modest growth in Japan.

    Strategic Imperatives boom Continues

    Strategic Imperatives (cloud, analytics, mobility and protection) grew 7% at cc from the 12 months-in the past quarter to $9.three billion. safety revenues surged 34%. On a trailing 12-month foundation, Strategic Imperatives revenues were $39.5 billion, up 13% (11% at cc).

    Cloud revenues surged 13% from the 12 months-ago quarter to $4.6 billion. The annual sprint cost for cloud as-a-provider revenues elevated 24% at cc on a yr-over-12 months foundation to $11.four billion.

    Cloud revenues of $19 billion on a trailing 12-month basis improved 20% (18% at cc) and now money owed for twenty-four% of IBM’s total revenues.

    Cognitive Revenues Decline

    Cognitive options’ revenues-exterior diminished 5.7% 12 months over year (down 5% at cc) to $four.15 billion. Segmental revenues relating Strategic Imperatives and Cloud declined 4% and 2%, respectively. Cloud as-a-provider profits annual sprint fee changed into $2 billion.

    solutions application comprises offerings in strategic verticals fondness health, area-certain capabilities fondness analytics and security, and IBM’s emerging applied sciences of AI and blockchain. The section too contains choices that ply horizontal domains fondness collaboration, commerce and ability. solutions utility revenues lowered three% 12 months over year in the quarter.

    IBM pointed out that in commerce area the infusion of AI into choices fondness customer adventure analytics helped SaaS signings to develop double digit in the quarter. The fresh launch of Notes Domino version 10, which is optimized for mobile, and supports JavaScript and node.js will enhance increase collaboration in 2019.

    Transaction Processing utility contains utility that runs mission-critical workloads, leveraging IBM’s hardware platforms. Revenues fell 8% on a 12 months-over-12 months foundation.

    IBM witnessed growth in industry verticals fondness fitness, key areas of analytics and safety within the quarter. Watson fitness witnessed extensive-primarily based increase in Payer, company, Imaging and life Sciences domains.

    all the way through the quarter, the Sugar.IQ software, developed by means of Medtronic in partnership with IBM, hit the market. The utility is designed to simplify and enhance daily diabetes management.

    IBM brought up that analytics carried out neatly in the quarter, driven through information science choices and IBM Cloud inner most for statistics offering.

    during the quarter, the industry introduced color detection capabilities and launched fresh Watson functions on the IBM Cloud private platform.

    protection growth become driven via offerings in orchestration, facts safety and endpoint administration.

    In blockchain, IBM meals occupy self-confidence community for food safeguard went are animated in the quarter. Reatiler Carrefour joined IBM’s blockchain community. The enterprise additionally jointly announced TradeLens with Maersk that addresses inefficiencies in the global deliver chain. IBM at the flash supports seventy five lively blockchain networks.

    global company features Revenues increase

    Revenues from international industry services-exterior section were $4.13 billion, up 0.9% from the yr-ago quarter (up 3% at cc). Segmental revenues pertaining to Strategic Imperatives grew 9%. Cloud practice surged 18%. Cloud as-a-carrier income annual sprint cost turned into $1.9 billion.

    application management revenues declined 1% from the yr-in the past quarter. youngsters, global technique services revenues climbed 2%. additionally, Consulting revenues accelerated 7% 12 months over year, driven by potent performance from IBM’s digital enterprise.

    technology functions & Cloud structures: Revenues Dip

    Revenues from expertise functions & Cloud systems-external decreased 2% from the 12 months-in the past quarter (flat at cc) to $8.29 billion. Segmental revenues relating Strategic Imperatives superior 16%, pushed with the aid of hybrid cloud features. Cloud surged 22% from the yr-ago quarter. Cloud as-a-carrier revenue annual sprint expense changed into $7.5 billion.

    Integration software increased 1% from the yr-ago quarter. during the quarter, ninety five organizations around the world chosen IBM Cloud inner most providing. Infrastructure services revenues too elevated 1% on a year-over-yr foundation.

    youngsters, Technical assist services revenues lowered three% from the yr-in the past quarter.

    energy & z14 pressure programs Revenues

    techniques revenues multiplied 0.9% on a yr-over-yr basis (up 2% at cc) to $1.74 billion. Segmental revenues referring to Strategic Imperatives surged 5%, while Cloud revenues declined eight%.

    IBM Z revenues multiplied 6% yr over yr on greater than 20% MIPS growth, driven through wide-primarily based adoption of the z14 mainframe.

    power revenues elevated 17% from the yr-in the past quarter. during the quarter, IBM launched its next technology POWER9 processors for midrange and excessive-end programs that are designed for coping with advanced analytics, cloud environments and records-intensive workloads in AI, HANA, and UNIX markets.

    IBM additionally brought fresh choices optimizing each hardware and software for AI. administration believes that products fondness PowerAI imaginative and prescient and PowerAI enterprise will assist drive fresh client adoption.

    however, storage hardware revenues declined 6% due to susceptible efficiency in the midrange and towering conclusion, partly offset by robust increase in every single glimmer Arrays. IBM mentioned that pricing power in the immensely aggressive storage market is hurting revenues. The industry introduced its fresh FlashSystems with next era NVMe technology every single the way through the quarter.

    working methods application revenues declined 4%, while techniques Hardware advanced 4% from the year-ago quarter.

    eventually, world Financing (includes financing and used gadget income) revenues reduced 9.1% at cc to $388 million.

    working particulars

    Non-GAAP shameful margin remained unchanged from the yr-in the past quarter at 47.4%. This changed into IBM’s highest character shameful margin efficiency in years and become primarily pushed by a hundred and sixty groundwork features (bps) expansion in functions margin. although, damaging combine in z14 mainframe and utility wholly offset this growth.

    operating cost declined 4% 12 months over yr, due to cognizance of acquisition synergies and improving operational efficiencies. IBM continues to invest in quick becoming fields fondness hybrid cloud, synthetic intelligence (AI), protection and blockchain.

    Pre-tax margin from carrying on with operations accelerated 50 bps on a 12 months-over-yr foundation to 19.2%.

    Cognitive options and world enterprise functions section pre-tax margins multiplied one hundred ninety bps and 320 bps, respectively, on a yr-over-yr foundation. besides the fact that children, know-how services & Cloud platforms facet pre-tax margin contracted a hundred bps.

    techniques pre-tax earnings become $209 million down 38% yr over 12 months. global Financing section pre-tax salary jumped 26.7% to $308 million.

    steadiness Sheet & cash circulation details

    IBM ended third-quarter 2018 with $14.70 billion in complete cash and marketable securities compared with $eleven.ninety three billion at the conclusion of 2nd-quarter 2018. total debt (together with global financing) became $forty six.9 billion, up $1.four million from the outdated quarter.

    IBM pronounced money spin from operations (aside from global Financing receivables) of $three.1 billion and generated free money circulate of $2.2 billion in the quarter.

    in the said quarter, the enterprise lower back $2.1 billion to shareholders through dividends and share repurchases. on the conclusion of the quarter, the company had $1.four billion terminal under current buyback authorization.

    tips

    IBM reiterated EPS forecast for 2018. Non-GAAP EPS is expected to subsist at least $13.80.

    IBM nevertheless anticipates 2018 free cash movement of $12 billion.

    Story continues

    How occupy Estimates Been relocating when you account that Then?

    in the past month, investors occupy witnessed a downward trend in sparkling estimates.

    VGM ratings

    at the present, IBM has a typical boom score of C, though it's lagging a bit of on the Momentum score front with a D. although, the stock changed into allocated a grade of A on the cost facet, putting it within the exact quintile for this funding method.

    ordinary, the stock has an compund VGM rating of B. in case you are not focused on one approach, this ranking is the one you should subsist interested in.

    Outlook

    Estimates occupy been greatly trending downward for the inventory, and the magnitude of those revisions indicates a downward shift. especially, IBM has a Zacks Rank #3 (cling). They forecast an in-line recrudesce from the inventory within the following yoke of months.

    desire the latest ideas from Zacks investment analysis? nowadays, you can download 7 foremost shares for the subsequent 30 Days. click to glean this free report overseas enterprise Machines employer (IBM) : Free stock analysis document To read this article on Zacks.com click on here. Zacks funding analysis


    IBM groups Up with Columbia school to additional push Blockchain evolution | killexams.com true Questions and Pass4sure dumps

    Photo: IBM / Twitter

    photo: IBM / Twitter

    Blockchain is occurring penetrating into a lot of spheres of their existence. discrete instututions, groups, companies are willingly adopting the know-how with a view to sustain with the instances. And schooling sector is no distinct.

    On November, 19, overseas company Machines organisation (IBM), an American multinational know-how company, and Columbia tuition, one of the world’s most distinguished centers of analysis, announced partnership and provided two fresh accelerator courses with a view ‘to construct and scale the next technology of blockchain innovation’.

    in accordance with the clicking unlock, the brand fresh courses, being allotment of intercreated Columbia-IBM hub for Blockchain and information Transparency, will present entrepreneurs and blockchain network founders globally entry to the abilities and elements they deserve to set up blockchain networks.

    each and every program will allay ten startups working with blockchain. The bulletins reads:

    “As a allotment of every software, individuals will explore most effective practices for building a blockchain network with technical, academic and company mentors from IBM and Columbia. they will occupy entry to agile design workshops from IBM, an experienced network of enterprise and technical aid, connections to the Columbia analysis group and pupil skill pools, company cost design tips and access to IBM Cloud expertise through the application.”

    David submit, managing director of the IBM Blockchain Accelerator hopes that the partnership will assist IBM complement startups with the necessary applied sciences and social networks to grow their organizations. He stated:

    “The percentages presented via blockchain technology are reputedly countless, and they are seeing powerful dedication by means of technical talent to build game-changing purposes. what is additionally needed to basically bring about this sea change is the perquisite expertise and edge which is why IBM is working with Columbia to support provide these early-and mid-stage founders a way to construct enterprise-grade networks that may stream blockchain innovation ahead.”

    The IBM Blockchain Accelerator, designed for later-stage increase companies, will select area in manhattan and San Francisco, in aggregate with virtual programming. The Columbia Blockchain Launch Accelerator is designed for pre-seed, thought-stage agencies with a Columbia or different identified long island city-based tuition affiliation.

    Satish Rao, government Director of Columbia Blockchain Launch Accelerator, commented:

    “Columbia tuition has successfully launched a yoke of technology accelerators in long island city, however this their first in partnership with a company that's a lucid trade leader within the box. Early- and late-stage groups will absolutely profit from IBM’s know-how substances, edge and established network coupled with Columbia’s ground-breaking research and capacity in blockchain and information transparency, every single whereas benefiting from every single of a sudden transforming into NYC blockchain communities.”

    each and every company will glean hold of functions valued at roughly $four hundred,000. There are no costs for participating in either of these programs. Nominations for the IBM Blockchain Accelerator are actually open, with purposes for launch set to open in January 2019.

    IBM is the main provider of open-supply blockchain solutions built for companies. The company is popular as the second industry on earth when it comes to number of blockchain-related patents filed. IBM has numerous blockchain-initiatives and welcomes well-known organizations from distinctive fields to subsist allotment of them.

    In October, IBM launched its food-monitoring blockchain mission IBM meals occupy self-confidence in partnership with European supermarket huge Carrefour. The company additionally partnered with Visa, issuer of permeate services. on account of the partnership, Visa’s disbursed ledger platform B2B associate integrated open-supply blockchain code from the Hyperledger cloth to supply shoppers with a groundbreaking fee community.


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    P2060-001 exam Dumps Source : IBM B2B Integration Technical Mastery(R) Test v1

    Test Code : P2060-001
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    Trading in Azelio's Share on Nasdaq First North Commences Today | killexams.com true questions and Pass4sure dumps

    NOT FOR RELEASE, PUBLICATION OR DISTRIBUTION IN WHOLE OR IN PART, DIRECTLY OR INDIRECTLY, IN OR INTO THE UNITED STATES, AUSTRALIA, CANADA, fresh ZEALAND, HONG KONG, JAPAN OR ANY OTHER JURISDICTION WHERE SUCH RELEASE, PUBLICATION OR DISTRIBUTION WOULD subsist UNLAWFUL OR WOULD REQUIRE REGISTRATION OR ANY OTHER MEASURES.

    STOCKHOLM, Dec. 10, 2018 /PRNewswire/ -- Azelio AB (publ) ("Azelio" or the "Company"), announces that the trading in the Company's share on Nasdaq First North commences today under the short denomination "AZELIO" with ISIN SE0011973940. Prior to the listing, Azelio has completed a share issue that provided the Company with approximately 2,200 fresh shareholders and minimum proceeds of SEK 242 million before transaction expenses (the "Offering"). The proceeds will primarily subsist used to finance the continued industrialization of the Company's system of Stirling engine-based concentrated solar power with thermal energy storage that enables electricity production around the clock. 

    Advisors

    Pareto Securities acted as Sole Global Coordinator and Bookrunner, Vinge acted as legal advisor to Azelio and Pareto Securities in connection with the Offering.

    Certified Adviser

    FNCA Sweden AB is chosen to subsist Certified Adviser for Azelio.

    Stabilization measures

    In connection with the Offering, Pareto Securities may carry out transactions in order to maintain the cost of the Company's shares at a plane higher than the plane that would otherwise prevail on the market. These stabilization measures, which plane to support the market cost of the shares, may subsist conducted on Nasdaq First North, the OTC market or in other ways, and may subsist conducted at any time during the epoch starting on the first day of trading in the shares on Nasdaq First North and ending 30 calendar days thereafter. Under no circumstances will transactions subsist carried out at a cost higher than the cost in the Offering. Pareto Securities and its agents are not required to select any of these measures and it can therefore not subsist guarantee that any stabilization measures will subsist taken. If stabilization measures are taken, Pareto Securities or its agents can terminate them at any time. Except for what is required by law or other regulation, Pareto Securities does not intend to disclose the extent of any stabilization measures.

    For further information, gratify contact:

    Jonas Eklind, CEO, AzelioTelephone: +46-709-40-35-80E-mail: [email protected]

    Kennet Lundberg, CFO, AzelioTelephone: +46-705-24-47-79E-mail: [email protected]

    The information was provided by the above contact persons for publication at 08:00 CET on December 10, 2018.

    About Azelio AB (publ)

    Azelio is a technology company that offers a system of Stirling engine-based concentrated solar power with thermal energy storage that enables electricity production around the clock. The Company has its head office in Gothenburg, Sweden, with production in Uddevalla and a evolution hub in Gothenburg and Åmål, as well as a sales office in Beijing, China and a representative office in Madrid, Spain. As of September 30, 2018, the Company had 75 employees.

    Azelio's technology and development

    The Company's Stirling engine is commercially applied, having accumulated over two million operating hours and 172 installations globally, while the subsystem for thermal energy storage has been validated in demonstration plant in June 2018, but has not yet been commercially applied. Over the epoch 2018–2020 the Company will focus on the industrialization of the system's design, construction and production. In the fourth quarter 2019 three systems in a verification project will subsist installed in Morocco jointly with the state-controlled Masen. From 2020 onwards, another 8–16 systems are expected to subsist installed in commercial projects, with volume production expected from 2021.

    Azelio's market and customers

    The technology is well suited for areas that today need access to a power grid or occupy no reliable power grids. The Company assesses that Azelio's solution can subsist used to accelerate the rollout of electricity to the approximately one billion people around the sun belt who currently occupy no access to reliable electricity. The Company intends to sell its system to EPC-contractors which then install the system for the finish customer. Future finish customers may for instance subsist energy-intensive customers such as mining industry, cement industry and process industry.

    Important information

    This announcement is not and does not figure a allotment of any tender for selling, or a request to submit an tender to buy or acquire, shares or other securities of the Company.

    Copies of this announcement are not being made and may not subsist distributed or sent into the United States, Australia, Canada, fresh Zealand, Hong Kong, Japan, South Africa or any other jurisdiction in which such distribution would subsist unlawful or would require registration or other measures.

    The securities referred to in this announcement occupy not been and will not subsist registered under the U.S. Securities Act of 1933, as amended (the "Securities Act"), and accordingly may not subsist offered or sold in the United States absent registration or an exemption from the registration requirements of the Securities Act and in accordance with applicable U.S. state securities laws. The Company does not intend to register any offering in the United States or to conduct a public offering of securities in the United States.

    This press release constitutes promotion as is not a prospectus for the purposes of Directive 2003/71/EC (this Directive, together with every single amendments thereto and applicable implementing measures in the apropos home Member State under this Directive, is referred to as the "Prospectus Directive"). A prospective that is prepared in accordance with the Prospectus Directive will subsist published, and may, when published, subsist obtained from the Company. Investors should not invest in any securities referred to in this announcement except on the basis of information contained in the aforementioned prospectus.

    In any EEA Member State other than Sweden that has implemented the Prospectus Directive, this communication is only addressed to and is only directed at qualified investors in that Member State within the significance of the Prospectus Directive, i.e., only to investors who can receive the tender without an approved prospectus in such EEA Member State.

    This communication is only being distributed to and is only directed at persons in the United Kingdom that are (i) investment professionals falling within Article 19(5) of the monetary Services and Markets Act 2000 (Financial Promotion) Order 2005, as amended (the "Order") or (ii) towering net worth entities, and other persons to whom this announcement may lawfully subsist communicated, falling within Article 49(2)(a) to (d) of the Order (all such persons together being referred to as "Relevant Persons"). This communication must not subsist acted on or relied

    on by persons who are not apropos Persons. Any investment or investment activity to which this communication relates is available only to apropos Persons and will subsist engaged in only with apropos Persons. Persons distributing this communication must satisfy themselves that it is lawful to conclude so.

    Matters discussed in this announcement may constitute forward-looking statements. Forward looking statements are statements that are not historical facts and may subsist identified by words such as "believe", "expect", "anticipate", "intends", "estimate", "will", "may", "continue", "should" and similar expressions. This applies in particular to statements relating to future results, monetary position, cash flow, plans and expectations of the Company's operations and management, future growth and profitability, general economic and regulatory environment and other factors affecting the Company, many of which are based on further assumptions, such as no changes in existing political, legal, fiscal, market or economic conditions or applicable law (including but not limited to accounting principles, accounting methods and tax policies), which may or may not subsist of flash to the Company results or its capacity to operate. Although the Company believes that these assumptions were reasonable when made, these assumptions are inherently subject to significant known and unknown risks, uncertainties, contingencies and other distinguished factors which are difficult or impossible to forecast and are beyond its control. Such risks, uncertainties, contingencies and other distinguished factors could reason actual events to differ materially from the expectations expressed or implied in this release by such forward-looking statements.

    Potential investors should therefore not attach undue self-confidence to the forward-looking information herein, and potential investors are urged to read the parts of the prospectus that embrace a more particular description of factors that may move the Company's operations and the market in which the Company operates.

    The information, opinions and forward-looking statements contained in this announcement speak only as at its date and could subsist subject to change without notice.

    In connection with the tender or sale of securities referred to herein, the Pareto Securities may over-allot securities/conduct stabilisation or upshot transactions with a view to supporting the market cost of the securities at a plane higher than that which might otherwise prevail. Any stabilisation action or over-allotment will subsist conducted by the Pareto Securities in accordance with every single applicable laws and rules.

    This information was brought to you by Cision http://news.cision.com

    http://news.cision.com/azelio/r/trading-in-azelio-s-share-on-nasdaq-first-north-commences-today,c2695925

    The following files are available for download:


    Exploring the AppDynamics Integration with OpenShift Container Platform | killexams.com true questions and Pass4sure dumps

    This was originally posted on OpenShift’s blog.

    Introduction

    Regardless of whether you are developing traditional applications or microservices, you will inevitably occupy a requirement to monitor the health of your applications, and the components upon which they are built.

    Furthermore, users of OpenShift Container Platform will often occupy their own existing enterprise standard monitoring infrastructure into which they will subsist looking to integrate applications they build. As allotment of Red Hat’s Professional Services organisation, one of the monitoring platforms I encounter whilst working with OpenShift in the province is the AppDynamics SaaS offering.

    In this post, I will sprint through how they can select a Source-to-Image (S2I) builder, customise it to add the monitoring agent, and then spend it as the basis of a Fuse Integration Services application, written in Apache Camel, and using the Java CDI approach.

    Register with AppDynamics

    Before getting into the process of modifying the S2I builder image and building the application, the first thing they need to conclude is register with the AppDynamics platform. If you’re an existing consumer of this service, then this step obviously isn’t required!

    Either way, once registered, they need to download the Java agent. In this example, I’ve used the Standalone JVM agent, but there are many more options to select from, and one of those may better suit your requirements.

    Adding the Agent to your Image

    There are two primary ways you can proceed about adding the AppDynamics Java agent to your image.

    Firstly, you can use Source-To-Image (S2I) to add the Java agent to the standard fis-java-openshift base image at the same time as pulling in every single your other dependencies – mainly source code and libraries.

    Secondly, you can extend the fis-java-openshift S2I builder image itself, add your own layer containing the Java agent, and spend this fresh image as the basis for your builds.

    Using S2I

    When using S2I to create an image, OpenShift can execute a number of scripts as allotment of this process. The two scripts they are interested in in this context are assemble and run.

    In the fis-java-openshift image, the S2I scripts are located in /usr/local/s2i. We can override the actions of these scripts by adding an .s2i/bin directory into the code repository, and creating their fresh scripts there.

    Assemble

    The assemble script is going to subsist the script that pulls in the Java agent and unpacks it ready for use. Whilst they need to override it to carry out this task, they too need it to carry on performing the tasks it currently performs in addition to any customisations they might add:

    #!/bin/bash # sprint original assemble script /usr/local/s2i/assemble # install appdynamics agent curl -H "Accept: application/zip" https://codeload.github.com/benemon/fis-java-appdynamics-plugin/zip/master -o /deployments/appdynamics.zip pushd /deployments unzip appdynamics.zip pushd fis-java-appdynamics-plugin-master/ mv appdynamics/ ../ popd rm -rf fis-java-appdynamics-plugin-master/ rm -f appdynamics.zip popd

    As can subsist seen above, they actually glean this script to execute the original assemble script before they add the AppDynamics agent – this way, if the Maven build fails, they haven’t wasted any time downloading any artifacts we’re not going to use.

    Run

    The sprint script is going to subsist the script that sets up the environment to allow us to spend the AppDynamics Java agent, and – you’ve guessed it – sprint their app! Just as with the assemble script, they still want run to carry on executing their application when their customisations are complete. Therefore, every single they conclude here is glean it to check for the presence of an environment variable, and if it’s found, configure the environment to spend AppDynamics.

    #!/bin/bash if [ x"$APPDYNAMICS_AGENT_ACCOUNT_NAME" != "x" ]; then mkdir /deployments/logs export JAVA_OPTIONS="-javaagent:/deployments/appdynamics/javaagent.jar -Dappdynamics.agent.logs.dir=/deployments/logs $JAVA_OPTIONS" fi exec /usr/local/s2i/run

    In this case, we’re looking for a variable called APPDYNAMICS_AGENT_ACCOUNT_NAME. After all, if they haven’t configured any credentials for the Java agent, then it can’t connect to the AppDynamics SaaS anyway.

    Template

    Finally, to bring this every single together, we can spend a Template to draw every single of these components together, launch the build process, and deploy their application.

    The S2I process is possibly the simpler of the two methods outlined here for adding the AppDynamics Java agent to your application, but it does present some points of which you need to subsist aware:

  • The Java agent needs to subsist hosted somewhere accessible to your build process. It too needs to subsist version controlled separately from the build, which adds extra build management overhead.
  • It will subsist downloaded every single time you sprint a build – not the most efficient way of deploying it if you occupy an effective CI / CD pipeline and are doing multiple builds per hour!
  • Whilst it’s simpler to configure, it can present confusing problems during the build process. For example, if your assemble script creates some directories for your application to spend (logging directories, for example), you may need to referee about how your build and application are being executed, and who owns what in that process.
  • Regardless of these minor issues, this is still a powerful (and useful!) mechanism, and as such I occupy provided a sample repository that allows you to execute an S2I build that should draw in the Java agent and sprint it alongside an application.

    NOTE: If you’re still interested in using the S2I process, and want to know more about how to configure the Java agent with environment variables, skip ahead to ‘Adding the AppDynamics agent to a FIS application’.

    Extending the Fuse Integration Services (FIS) basis Image

    My preference for using the AppDynamics Java agent with applications built on FIS (and for similar spend cases), is to add it into the basis image once, so that it is accessible by the any applications based on that image.

    Dockerfile

    In this example, this is done by creating a fresh Docker image, based on fis-java-openshift:latest and adding the Java agent into this project as an artifact to subsist added to that image:

    FROM registry.access.redhat.com/jboss-fuse-6/fis-java-openshift:latest USER root ADD appdynamics/ /opt/appdynamics/ RUN chgrp -R 0 /opt/appdynamics/ RUN chmod -R g+rw /opt/appdynamics/ RUN find /opt/appdynamics/ -type d -exec chmod g+x {} + #jboss from FIS USER 185

    In this Dockerfile, they are adding the content of the appdynamics directory in their Git repository to the fis-java-openshift base image, and altering its permissions so that it is owned by the JBoss user in that image.

    OpenShift

    In order to consume this Dockerfile and turn it into a useable image, they occupy a number of options. By far the simplest is to execute an oc new-build command against the repository hosting the Docker image – in the case of this image, this would be:

    oc new-build https://github.com/benemon/fis-java-appdynamics/#0.2-SNAPSHOT --context-dir=src/main/docker

    Note the spend of the --context-dir switch pointing to the directory containing the Dockerfile. This informs OpenShift that it needs to survey in a sub-directory, not the root of the Git repository, for its build artifacts.

    Once we’ve executed the above command, they can tail the OpenShift logs from the CLI (or view them from the Web Console), and behold the Dockerfile build taking place. The output will subsist similar to this:

    [[email protected] ~]$ oc logs -f fis-java-appdynamics-1-build I0709 09:03:35.440237 1 source.go:197] Downloading "https://github.com/benemon/fis-java-appdynamics" ... Step 1 : FROM registry.access.redhat.com/jboss-fuse-6/fis-java-openshift ---> 771d26abb75d Step 2 : USER root ---> Using cache ---> c66c5f1378be Step 3 : ADD appdynamics/ /opt/appdynamics/ ---> ef153cb350d8 Removing intermediate container 44c776871f6f Step 4 : sprint chown -R 185:185 /opt/appdynamics/ ---> Running in 861f8c27225e ---> ee1ac493f88d Removing intermediate container 861f8c27225e Step 5 : USER 185 ---> Running in 1d9fe0a02e6a ---> 73f598d8a0e9 Removing intermediate container 1d9fe0a02e6a Step 6 : ENV "OPENSHIFT_BUILD_NAME" "fis-java-appdynamics-1" "OPENSHIFT_BUILD_NAMESPACE" "dev1" "OPENSHIFT_BUILD_SOURCE" "https://github.com/benemon/fis-java-appdynamics" "OPENSHIFT_BUILD_COMMIT" "d025f9961896b25fcae479d62779ae455df334d3" ---> Running in 510a4b51db5a ---> c4e938d189eb Removing intermediate container 510a4b51db5a Step 7 : LABEL "io.openshift.build.commit.message" "Updated the FIS build artifacts" "io.openshift.build.source-location" "https://github.com/benemon/fis-java-appdynamics" "io.openshift.build.source-context-dir" "src/main/docker" "io.openshift.build.commit.author" "Benjamin Holmes \[email protected]\u003e" "io.openshift.build.commit.date" "Sat Jul 9 11:26:11 2016 +0100" "io.openshift.build.commit.id" "d025f9961896b25fcae479d62779ae455df334d3" "io.openshift.build.commit.ref" "master" ---> Running in 213844392db7 ---> 44fede9609fd Removing intermediate container 213844392db7 Successfully built 44fede9609fd I0709 09:04:06.573966 1 docker.go:118] Pushing image 172.30.49.26:5000/dev1/fis-java-appdynamics:latest ... I0709 09:04:10.970516 1 docker.go:122] push successful

    NOTE: As an alternative to a standard Dockerfile build, we can spend the Kubernetes Fluent DSL to generate the BuildConfig and ImageStream objects as allotment of a Template that will divulge OpenShift to conclude a Dockerfile build based on the supplied project content. Using Kubernetes DSL is optional (you are more than welcome to define the objects manually), but as a Java developer this is a simple process to understand, it allows you to version control your whole image build process, and too falls nicely into the ‘configuration as code’ discipline so prominent in the DevOps world. An sample of how to spend the Fluent DSL is supplied in the Github repository for the AppDynamics basis image.

    Whichever process you select upon (the supplied Github repository contains artifacts for both builds), OpenShift will generate a number of Kubernetes artifacts. What they are interested in here is the Image Stream…

    apiVersion: v1 kind: ImageStream metadata: ... generation: 1 labels: app: fis-java-appdynamics name: fis-java-appdynamics namespace: dev1 ... spec: {} status: dockerImageRepository: 172.30.49.26:5000/dev1/fis-java-appdynamics tags: .. tag: latest

    …and the BuildConfig:

    apiVersion: v1 kind: BuildConfig metadata: ... labels: app: fis-java-appdynamics name: fis-java-appdynamics namespace: dev1 ... spec: output: to: kind: ImageStreamTag name: fis-java-appdynamics:latest postCommit: {} resources: {} source: contextDir: src/main/docker git: uri: https://github.com/benemon/fis-java-appdynamics secrets: [] type: Git strategy: dockerStrategy: from: kind: ImageStreamTag name: fis-java-openshift:latest type: Docker triggers: - github: secret: 9Y66CCaSoOipX2pgeEXs type: GitHub - generic: secret: IrYOFwVX0pZKSkceG4D_ type: Generic - type: ConfigChange - imageChange: lastTriggeredImageID: registry.access.redhat.com/jboss-fuse-6/fis-java-openshift:latest type: ImageChange status: lastVersion: 1

    Please note that lines occupy been removed from the above objects for the sake of brevity.

    Once the build of the fis-java-appdynamics image has completed successfully, they will occupy a fresh basis image present in their namespace that contains the AppDynamics agent plugin.

    Magic.

    Adding the AppDynamics agent to a FIS application

    Given that I occupy elected to result the second system of creating a fresh basis image with the AppDynamics Java agent added to it, I now need a way of configuring it.

    NOTE: These steps are much the same as those performed if you were to spend the S2I builder process. However you can behold the subtle differences, such as the addition of JAVA_OPTIONS is performed by the .s2i/bin/run scriptas opposed to the DeploymentConfig in the Template in the sample repository here.

    Configuring the Agent

    The AppDynamics agent follows a similar agent model to many other profiling tools, in that it is added to a JVM using the -javaagent switch. When thinking in terms of immutable containers, they obviously want this whole configuration process to subsist as loosely coupled from the application image as possible.

    With this in mind, the simplest way to configure the AppDynamics Java agent is via environment variables. This is helpful, as the AppDynamics agent prioritises environment variables over any other forms of configuration it may occupy available to it (such as controller-info.xml within the agent distribution). The AppDynamics Agent Configuration guide has  further information.

    One option they occupy here is to difficult code every single of the requisite environment variables into an application DeploymentConfig. However, in this courageous fresh world of immutable containers, short lived cloud applications workloads, and CI/CD pipelines they can subsist a bit cleverer than that.

    Using a Template for the application, they can still define every single of the environment variables required by the AppDynamics agent, but they can too spend a compund of templated parameters, and Kubernetes’ Downward API to effectively allow the container to introspect itself at runtime, and feed useful information about itself to the agent.

    Therefore, we can produce a Template that includes an environment variables component in its DeploymentConfig section which looks a tiny fondness this:

    - name: JAVA_OPTIONS value: '-javaagent:/opt/appdynamics/javaagent.jar' - name: TZ value: Europe/London - name: APPDYNAMICS_CONTROLLER_HOST_NAME value: ${APPDYNAMICS_CONTROLLER_HOST_NAME} - name: APPDYNAMICS_CONTROLLER_PORT value: ${APPDYNAMICS_CONTROLLER_PORT} - name: APPDYNAMICS_CONTROLLER_SSL_ENABLED value: ${APPDYNAMICS_CONTROLLER_SSL_ENABLED} - name: APPDYNAMICS_AGENT_ACCOUNT_NAME value: ${APPDYNAMICS_AGENT_ACCOUNT_NAME} - name: APPDYNAMICS_AGENT_ACCOUNT_ACCESS_KEY value: ${APPDYNAMICS_AGENT_ACCOUNT_ACCESS_KEY} - name: APPDYNAMICS_AGENT_APPLICATION_NAME value: ${SERVICE_NAME} - name: APPDYNAMICS_AGENT_TIER_NAME valueFrom: fieldRef: apiVersion: v1 fieldPath: metadata.namespace - name: APPDYNAMICS_AGENT_NODE_NAME valueFrom: fieldRef: apiVersion: v1 fieldPath: metadata.name

    Note the spend of Downward API reference for APPDYNAMICS_TIER_NAME and APPDYNAMICS_AGENT_NODE_NAME.

    NOTE: If you would fondness to try this with my sample template, you should execute the following command against your OpenShift environment:

    oc create -f https://raw.githubusercontent.com/benemon/camel-cxf-cdi-java-example/app...

    This creates the template within the current OpenShift project. This should subsist the same project in which you occupy done the fis-java-appdynamics build, otherwise OpenShift won’t subsist able to locate the fresh basis image!

    When they present this via the OpenShift Web Console, they are shown a much more user friendly version of the above, allowing you to key in your AppDynamics account details without the need to store them in potentially troublesome static configuration files within the container.

    image00

    Once every single the fields occupy been completed, click on ‘Create’, and (assuming every single mandatory fields occupy been filled in), a screen will subsist presented confirming the successful creation of every single template objects.

    Once this Template has been instantiated successfully, OpenShift will start a build against the source code branch, using fis-java-appdynamics as the S2I builder image.

    Be awake that this project repository contains a standard Maven settings.xml which can subsist used to define how Maven resolves the build dependencies. If you experience long build times, this file can subsist updated to resolve to a local Maven repository, such as Sonatype Nexus, or JFrog Artifactory.

    After the build has completed successfully, a fresh Pod will subsist started, running the application with its embedded Java agent (parts omitted for brevity):

    Executing /deployments/bin/run ... Launching application in folder: /deployments Running java -javaagent:/opt/appdynamics/javaagent.jar … Install Directory resolved to[/opt/appdynamics] log4j:WARN No appenders could subsist create for logger (com.singularity.MissingMethodGenerator). log4j:WARN gratify initialize the log4j system properly. [Thread-0] Sat Jul 09 05:29:26 BST 2016[DEBUG]: AgentInstallManager - full Agent Registration Info Resolver is running [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver create env variable [APPDYNAMICS_AGENT_APPLICATION_NAME] for application denomination [greeting-service] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver create env variable [APPDYNAMICS_AGENT_TIER_NAME] for tier denomination [dev1] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver create env variable [APPDYNAMICS_AGENT_NODE_NAME] for node denomination [greeting-service-1-fbcaa] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver using selfService [true] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver using selfService [true] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver using application denomination [greeting-service] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver using tier denomination [dev1] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - full Agent Registration Info Resolver using node denomination [greeting-service-1-fbcaa] [Thread-0] Sat Jul 09 05:29:26 BST 2016[DEBUG]: AgentInstallManager - full Agent Registration Info Resolver finished running [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - Agent runtime directory set to [/opt/appdynamics/ver4.1.7.1] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: AgentInstallManager - Agent node directory set to [greeting-service-1-fbcaa] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: JavaAgent - Using Java Agent Version [Server Agent v4.1.7.1 GA #9949 ra4a2721d52322207b626e8d4c88855c846741b3d 18-4.1.7.next-build] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: JavaAgent - Running IBM Java Agent [No] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: JavaAgent - Java Agent Directory [/opt/appdynamics/ver4.1.7.1] [Thread-0] Sat Jul 09 05:29:26 BST 2016[INFO]: JavaAgent - Java Agent AppAgent directory [/opt/appdynamics/ver4.1.7.1] Agent Logging Directory [/opt/appdynamics/ver4.1.7.1/logs/greeting-service-1-fbcaa] Running obfuscated agent Started AppDynamics Java Agent Successfully. … Registered app server agent with Node ID[8494] Component ID[6859] Application ID [4075] Verifying Successful Integration

    Once the application has started successfully, and the agent has registered itself with AppDynamics, you should subsist able to behold your application on the AppDynamics Dashboard:

    image04

    Drilling down into the Application in the Dashboard too confirms that the Downward API has done its job, and we’ve automatically pulled in both the container name, and the Kubernetes namespace.

    image03

    Testing Integration

    In order to glean something a bit more meaningful out of the AppDynamics platform, I’ve spot together a small test harness in SoapUI that simply runs a load test against the Fuse application’s RESTful endpoint:

    image02

    In OpenShift’s container logs they can behold these requests coming into the application, either via the Web Console or via the CLI.

    Once the test harness has completed its cycle, going back to the AppDynamics dashboard starts to give us a glimpse of something a bit more useful to us from an application monitoring and operations point of view:

    image01

    We can even drill down into the Web Service endpoints themselves, and examine the levels of load each is experiencing.

    image05

    Application Scaling

    One of the really nice things about using OpenShift, the Downward API, and AppDynamics in this way is that it even gives us useful information about health, request distribution and throughput when they scale out the application. Here the application has been scaled to 3 nodes:

    image06

    We can too survey at the load and response times being experienced by users of the application service. Whilst this particular view gives an amalgamation of data, it’s a simple operation to drill down into an individual JVM to behold how it’s performing.

    Conclusion

    I occupy barely scratched the surface of what they can monitor, log, and alert on with OpenShift, Fuse Integration Services, and AppDynamics. Hopefully though, it gives you a glimpse of what is viable using the tools provided by the OpenShift Container Platform, and a template for not only integrating AppDynamics, but too other useful toolsets that result a similar agent model.

    Resources

    The full source repository for fis-java-appdynamics is here: https://github.com/benemon/fis-java-appdynamics/tree/0.2-SNAPSHOT

    The full source repository for the FIS/Camel application based on the fis-java-appdynamics image is here:https://github.com/benemon/camel-cxf-cdi-java-example/tree/appdynamics

    The full source repository for the FIS/Camel application with the Java agent added using S2I is here:

    https://github.com/benemon/camel-cxf-cdi-java-example/tree/appdynamics-s2iPlease note branches and tags in these repositories.

    The post Exploring the AppDynamics Integration with OpenShift Container Platform appeared first on Application Performance Monitoring Blog | AppDynamics.


    Data hub Linux | killexams.com true questions and Pass4sure dumps

    In recent years, the adoption of Linux in the data hub has progressed beyond infrastructure services such as e-mail and file, print, and Web serving. Today, Linux is widely used as a industry application server and is affecting deeper into the data hub as a database and content server. Given a vibrant evolution community and innovative solution providers, Linux continues its promote toward becoming the enterprise-computing platform of choice.

    The benefits of Linux to data hub customers are well known: superior economics, no vendor lock-in, reliability, and increasing independent software vendor (ISV) and system vendor acceptance and support.

    However, with success comes higher expectations. User requirements for Linux in the data hub continue to escalate. IT professionals are always looking for more performance, manageability, and other features that they've promote to anticipate from an enterprise operating system. However, the user requirements list is as varied as it is long. Lacking a "center of gravity" where developers, users, and vendors can every single survey at Linux capabilities and requirements together, the necessary advances will promote more slowly.

    Enter OSDL Data hub Linux Working Group (DCL). The DCL is a virtual center-of-gravity where interested parties can promote together to accelerate the evolution and adoption of Linux in the enterprise. Made up of a number of OSDL member companies and other interested individuals, the DCL focuses on services, databases, applications, and mid-tier and high-end multiprocessor servers used for a variety of mission-critical applications.

    Accelerating Linux Adoption Overall, the OSDL DCL focuses on every single the things you'd anticipate from an organization trying to accelerate the deployment of any enterprise software, namely:
  • Meet or exceed performance and availability currently expected for data hub applications
  • Scale to enterprise-class server hardware environments
  • Meet or exceed currently accepted security standards
  • Provide standards that hearten end-user, ISV, and third-party software adoption
  • Yield a towering degree of usability for activities requiring human interaction
  • In this early facet of the DCL's work, it is taking a two-part approach to accomplishing its objective. First is to identify capabilities required for accelerated Linux adoption in larger organizations. Second, recommend technical approaches to meet those requirements.

    Periodically, the DCL working group too publishes capabilities requirements documents for public review. The 1.0 version of the OSDL DCL Capabilities Document can subsist create on OSDL's Web site under DCL Documents. The intent of this and future DCL documents is to stimulate discussion and review, then drive toward future, specific technical requirements from the list of capabilities. Thus, the capabilities document is neither a list of requirements nor a specification, but is an analysis of the enterprise usage needs of Linux, thus providing a starting spot for driving efforts that facilitate building solutions to satisfy those needs.

    The DCL identifies two levels of technical priorities for Linux in the data center: Priority One Capabilities are considered the most distinguished for data hub readiness for Linux, while Priority Two Capabilities are those intended to stimulate thought and discussion.

    Beyond general priorities of importance, the DCL working group examines Linux enterprise capabilities in the traditional functional areas:

  • Scalability
  • Performance
  • Reliability, availability, serviceability (RAS)
  • Manageability
  • Clusters
  • Security
  • Usability
  • Standards
  • The standards category references specifications controlled outside DCL. This category includes only capabilities with standards related to adopting Linux in data centers.

    At this stage, the OSDL DCL investigation is focused on enterprise-level usage models. The technical discussions hub around data hub issues such as security, storage networking, and file system performance. Because the objective of the DCL is to accelerate the maturation of Linux as an enterprise operating system, investigation of the other features on this list concentrates on server functionality and data hub administration needs. Clearly, most of the features on this list are equally distinguished to every single who develop, use, or administer the system. But these nonserver-related issues are addressed in other OSDL initiatives such as the Desktop Linux working group.

    In the latter half of 2004 the DCL Working Group will spin on to its second objective: documenting the requirements necessary to promote Linux further in the data center, and recommending technical approaches to meet those requirements.

    Call for Participation The mission of the Data hub Linux (DCL) Working Group is to provide a forum for industry leaders to accelerate adoption and deployment of Linux in data centers.

    The working group has completed its first pass at identifying Linux capabilities in the data center, and has developed a prioritized list of capabilities needed. The Data hub Linux Technical Capabilities v1.0 document is available for public review on the OSDL Web site. They hearten any interested person to review it and provide input. Together they can every single allay Linux become the enterprise operating system of choice.

    For more information on how you can participate in the DCL, gratify visit www.osdl.org/lab_activities/data_center_linux.

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