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HP0-760 NonStop Kernel Advanced (Level 2)

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HP0-760 exam Dumps Source : NonStop Kernel Advanced (Level 2)

Test Code : HP0-760
Test name : NonStop Kernel Advanced (Level 2)
Vendor name : HP
exam questions : 148 true Questions

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HP NonStop Kernel Advanced (Level

HP security Voltage's SecureData enterprise: Product overview | true Questions and Pass4sure dumps

HP bought Voltage safety in April 2015, rebranding the platform as "HP protection Voltage." The product is a scholarship encryption and key generation solution that comprises tokenization for shielding choice industry statistics. The HP safety Voltage platform includes a lot of items, such as HP SecureData enterprise, HP SecureData Hadoop, HP SecureData funds and so forth. this article specializes in HP SecureData commercial enterprise, which contains HP structure-holding Encryption (FPE), HP relaxed Stateless Tokenization (SST) know-how, HP Stateless Key administration, and information protecting.

Product points

HP SecureData industry is a scalable product that encrypts each structured and unstructured records, tokenizes statistics to steer limpid of viewing by using unauthorized clients, meets PCI DSS compliance requirements, and offers analytics.

The core of HP SecureData enterprise is the Voltage SecureData administration Console, which offers centralized policy management and reporting for everything Voltage SecureData programs. yet another part, the Voltage Key administration Server, manages the encryption keys. policy-managed application programming interfaces allow aboriginal encryption and tokenization on various systems, from safety assistance and suffer managers to Hadoop to cloud environments.

The platform employs a special manner known as HP Stateless Key administration, which potential keys are generated on demand, in keeping with coverage stipulations, after users are authenticated and licensed. Keys will furthermore be regenerated as necessary. the exercise of stateless key management reduces administrative overhead and fees by using putting off the key save -- there isn't a deserve to keep, retain tune of and again up each key this is been issued. Plus, an administrator can link HP Stateless Key administration to a firm's identity administration materiel to implement role-based entry to facts at the box stage.

FPE is based on advanced Encryption usual. FPE encrypts data with out altering the database schema, but does figure minimal adjustments to functions that deserve to view cleartext statistics. (in many instances, simplest a single line of code is modified.)

HP SecureData enterprise's key administration, reporting and logging tactics back purchasers meet compliance with PCI DSS, medical health insurance Portability and Accountability Act and Gramm-Leach-Bliley Act, as well as state, national and European statistics privacy laws.

HP SecureData enterprise is commandeer with virtually any category of database, including Oracle, DB2, MySQL, Sybase, Microsoft SQL and Microsoft Azure SQL, among others. It helps a wide selection of operating methods and platforms, together with home windows, Linux, AIX, Solaris, HP-UX, HP NonStop, Stratus VOS, IBM z/OS, Amazon internet services, Microsoft Azure, Teradata, Hadoop and a lot of cloud environments.

corporations that Put into consequence HP SecureData industry can anticipate to occupy complete conclusion-to-end data coverage in 60 days or less.

Pricing and licensing

prospective purchasers need to contact an HP revenue consultant for pricing and licensing assistance.


HP offers common and top rate serve for everything HP protection Voltage items. ordinary assist includes access to the options portal and online assist requests, the online skills base, e mail support, industry hours cell assist, 4-hour response time and a assist desk package.

premium serve comprises the identical elements as gauge assist, however with 24x7 mobile aid and a two-hour response time.

HP Contributes supply Code to Open source community to ameliorate Adoption of Linux | true Questions and Pass4sure dumps

PALO ALTO, Calif.--(enterprise WIRE)--carrying on with its efforts to enhance customer adoption of Linux, HP (NYSE:HPQ) today introduced the contribution of its Tru64 UNIX advanced File system (AdvFS) supply code to the open supply group.

The AdvFS supply code includes capabilities that enhance uptime, boost protection and serve ensure optimum performance of Linux file techniques. HP will contribute the code as a reference implementation of an industry Linux file gadget under the terms of universal Public License edition 2 for compatibility with the Linux kernel, as well as give design documentation, verify suites and engineering supplies.

Linux is likely one of the most stylish examples of free software and open supply building, and source code continues to attract activity from developers, the person community and customers. HP, which ships a Linux server at the rate of one per minute, has lengthy supplied open supply options to shoppers and contributed to the open supply neighborhood to precipitate market construction.

The supply code serves as a prosperous technology ground to boost ongoing construction of Linux through providing a comprehensive foundation for Linux kernel builders to leverage and ameliorate Linux file gadget performance.

Developed by using HP, AdvFS has been deployed for greater than 16 years by using agencies throughout the area. It simplifies file and storage administration, allows for online device backups and raises statistics availability. the integration of key AdvFS file device aspects furthermore quickens the roadmap of future solutions designed to give a boost to Linux for enterprise purchasers.

“To ensure the optimum ranges of facts safety and availability, Linux customers need complete and immediate access to conditional expertise,” spoke of Martin Fink, senior vp and approved manager, company vital programs, HP. “We proceed to invest their engineering elements in the construction of that technology, whereas working with the open supply community to ensure accessibility and seamless integration.”

increasing Linux efficiency and advancing productiveness

enterprise calls for for more advantageous options are riding the Linux kernel building neighborhood to focal point on the advancement of file device performance. at present, file programs are being developed via an open neighborhood technique. HP’s contribution fuels these efforts.

“HP’s contribution of the superior File gadget code, coupled with their basic aid dedication to Linux, will drastically precipitate up the building and industry availability of enhanced materiel performance for Linux,” pointed out Jim Zemlin, govt director, Linux foundation. “The know-how and engineering resources being made available for subsequent-era file device projects are proof that HP is a apt open supply neighborhood leader.”

Linux market chief

HP extended its worldwide lead within the Linux market with 38.6 % of income market partake for the first quarter of 2008, based on IDC. HP additionally holds the No. 1 Linux server market position in unit shipments, with 36.four p.c of market partake international.(1)

“HP’s contribution speeds up the building of future Linux file techniques, ensuring greater device performance to fulfill their increasingly disturbing wants,” said Professor Giovanni Aloisio, chief govt officer of the Italian Southern Partnership for boost Computational Infrastructures (SPACI) in southern Italy. “Linux is taking allotment in a major role in their constructing of a supercomputing grid atmosphere running HP Integrity servers. we've used many applied sciences over the years, together with Tru64 UNIX with the superior File equipment, and this announcement assures SPACI of persevered Linux boom to conduct huge fresh analysis.”

The Tru64 UNIX superior File system source code, design documentation and examine suites are available by travelling http://advfs.sourceforge.internet. extra information on open source and Linux at HP is attainable at

About HP

HP focuses on simplifying expertise experiences for everything of its consumers – from individual patrons to the biggest corporations. With a portfolio that spans printing, personal computing, software, services and IT infrastructure, HP is among the many world’s greatest IT agencies, with revenue totaling $a hundred and ten.four billion for the four fiscal quarters ended April 30, 2008. greater assistance about HP is obtainable at

observe to editors: more information from HP, including links to RSS feeds, is obtainable at

(1) IDC global Quarterly Server Tracker, might furthermore 2008.

This information unencumber incorporates forward-looking statements that involve risks, uncertainties and assumptions. If such hazards or uncertainties materialize or such assumptions prove incorrect, the results of HP and its consolidated subsidiaries may fluctuate materially from these expressed or implied through such forward-searching statements and assumptions. everything statements apart from statements of historical fact are statements that may be deemed forward-searching statements, including but now not constrained to statements of the plans, ideas and objectives of management for future operations; any statements regarding expected development, efficiency or market partake regarding products and capabilities; expected operational and economic consequences; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing. hazards, uncertainties and assumptions include the execution and performance of contracts via HP and its valued clientele, suppliers and partners; the success of anticipated effects; and different dangers that are described in HP’s Quarterly file on figure 10-Q for the fiscal quarter ended April 30, 2008 and HP’s other filings with the Securities and exchange fee, including but no longer constrained to HP’s Annual file on kindly 10-ok for the fiscal 12 months ended October 31, 2007. HP assumes no duty and does not intend to update these forward-searching statements.

© 2008 Hewlett-Packard building business, L.P. The suggestions contained herein is province to alternate devoid of observe. The most effective warranties for HP items and features are set forth in the specific assurance statements accompanying such items and services. Nothing herein should be construed as constituting an further guarantee. HP shall now not be answerable for technical or editorial errors or omissions contained herein.

Works on My laptop | true Questions and Pass4sure dumps

probably the most insidious boundaries to perennial start (and to perennial circulate in application birth often) is the works-on-my-desktop phenomenon. any one who has worked on a utility construction team or an infrastructure aid crew has skilled it. any individual who works with such teams has heard the phrase spoken everything over (tried) demos. The problem is so common there’s even a badge for it:

in everything probability you occupy got earned this badge yourself. I occupy a yoke of. you'll want to see my trophy room.

There’s a longstanding culture on Agile groups that may additionally occupy originated at ThoughtWorks across the flip of the century. It goes affection this: When someone violates the ancient engineering precept, “Don’t Do the relaxation dense on intention,” they must pay a penalty. The penalty should be would becould very well be to drop a greenback into the team snack jar, or whatever thing an immoral lot worse (for an introverted technical classification), affection standing in entrance of the team and singing a song. To clarify a failed demo with a smooth-tongued “<shrug>Works on my desktop!</shrug>” qualifies.

it could actually no longer be feasible to abide away from the problem in everything situations. As Forrest Gump pointed out…well, you be sensible of what he said. however they are able to lower the vicissitude by using paying consideration to just a few obvious things. (yes, I buy note “obtrusive” is a commemorate for exercise advisedly.)

Pitfall #1: Leftover Configuration

issue: Leftover configuration from ancient labor makes it viable for the code to labor on the building atmosphere (and perhaps the examine atmosphere, too) while it fails on other environments.

Pitfall #2: construction/look at various Configuration Differs From creation

The options to this pitfall are so corresponding to these for Pitfall #1 that I’m going to community both.

solution (tl;dr): Don’t reuse environments.

average circumstance: Many builders installation an ambiance they affection on their computer/computing device or on the team’s shared construction ambiance. The ambiance grows from challenge to venture as greater libraries are brought and extra configuration options are set. sometimes, the configurations battle with one a further, and teams/individuals often figure manual configuration alterations reckoning on which task is lively in the meanwhile.

It doesn’t buy long for the development configuration to become very distinctive from the configuration of the goal production environment. Libraries that are present on the construction system may furthermore not exist on the construction equipment. You may additionally elope your aboriginal checks assuming you’ve configured issues the selfsame as creation handiest to determine later that you simply’ve been the exercise of a several version of a key library than the one in creation.

subtle and unpredictable modifications in conduct buy set throughout development, test, and creation environments. The circumstance creates challenges not simplest during construction but furthermore throughout creation pilot labor when we’re attempting to breed mentioned habits.

solution (lengthy): Create an remoted, dedicated building environment for every project.

There’s a yoke of purposeful method. you could probably account of a yoke of. listed below are a yoke of probabilities:

  • Provision a fresh VM (in the neighborhood, to your computer) for each undertaking. (I had to add “in the neighborhood, for your machine” because I’ve discovered that in many bigger businesses, builders ought to soar through bureaucratic hoops to regain access to a VM, and VMs are managed solely by using a part functional silo. recede figure.)
  • Do your construction in an remoted ambiance (together with trying out within the lessen ranges of the perceive at various automation pyramid), affection Docker or identical.
  • Do your development on a cloud-based mostly building environment it's provisioned by pass of the cloud issuer if you chance to silhouette a brand fresh mission.
  • install your perennial Integration (CI) pipeline to provision a fresh VM for each and every build/check run, to ensure nothing may be left over from the closing construct that may pollute the effects of the latest build.
  • installation your continuous start (CD) pipeline to provision a fresh execution atmosphere for greater-stage testing and for production, in set of advertising code and configuration data into an latest environment (for the selfsame rationale). note that this system additionally offers you the skills of linting, vogue-checking, and validating the provisioning scripts in the bonafide route of a build/installation cycle. convenient.
  • All these options gained’t be feasible for each imaginable platform or stack. opt for and judge, and roll your personal as applicable. In commonplace, everything these things are fairly facile to Do in case you’re working on Linux. everything of them will furthermore be accomplished for other *nix systems with some effort. Most of them are fairly effortless to Do with home windows; the handiest concern there's licensing, and if your enterprise has an industry license, you’re everything set. For other platforms, akin to IBM zOS or HP NonStop, are expecting to Do some hand-rolling of tools.

    anything else that’s feasible on your situation and that helps you insulate your building and check environments can be valuable. if you can’t Do everything these things on your situation, don’t be concerned about it. simply Do what you could do.

    Provision a brand fresh VM in the community

    in case you’re engaged on a desktop, computer, or shared building server operating Linux, FreeBSD, Solaris, home windows, or OSX, then you definitely’re in decent form. that you could exercise virtualization utility comparable to VirtualBox or VMware to stand up and cleave down local VMs at will. For the less-mainstream structures, you can furthermore occupy to construct the virtualization device from source.

    One aspect I constantly advocate is that developers domesticate an perspective of laziness in themselves. smartly, the birthright sort of laziness, this is. You shouldn’t suppose perfectly satisfied provisioning a server manually more than once. buy the time during that first provisioning endeavor to script the belongings you determine alongside the style. then you won’t ought to tolerate in repartee them and reiterate the identical mis-steps once again. (well, until you value that sort of aspect, of path.)

    for instance, here are a yoke of provisioning scripts that I’ve regain a hold of when I mandatory to set up building environments. These are everything in response to Ubuntu Linux and written in Bash. I don’t comprehend in the event that they’ll serve you, however they labor on my computer.

    if your enterprise is working RedHat Linux in creation, you’ll likely wish to adjust these scripts to elope on CentOS or Fedora, so that your construction environments should be fairly nigh to the goal environments. No large deal.

    if you want to be even lazier, that you would be able to exercise a utensil affection Vagrant to simplify the configuration definitions for your VMs.

    a different factor: something scripts you write and whatever definition data you write for provisioning tools, maintain them below version wield along with each project. figure positive whatever is in version wield for a given mission is every itsy-bitsy thing quintessential to labor on that assignment…code, checks, documentation, scripts…every thing. this is rather essential, I consider.

    Do Your development in a Container

    one pass of separating your development ambiance is to elope it in a container. many of the materiel you’ll read about in the event you search for information about containers are basically orchestration materiel meant to assist us manage several containers, typically in a creation atmosphere. For local building purposes, you truly don’t want that tons performance. There are a few practical containers for this goal:

    These are Linux-based mostly. whether it’s useful that you can containerize your construction environment is conditional upon what applied sciences you need. To containerize a construction atmosphere for one other OS, similar to windows, can furthermore now not be worth the vicissitude over just operating a full-blown VM. For other structures, it’s likely unattainable to containerize a construction ambiance.

    advance in the Cloud

    this is a relatively fresh choice, and it’s feasible for a confined set of technologies. The expertise over constructing a aboriginal building environment is that you can ascend up a antiseptic ambiance for every mission, guaranteeing you gained’t occupy any accessories or configuration settings left over from previous work. listed below are a few alternatives:

    predict to see these environments enrich, and are expecting to see greater avid gamers in this market. check which technologies and languages are supported so see even if one of these might be a fit to your needs. as a result of the swift tempo of exchange, there’s no sense in record what’s available as of the date of this text.

    Generate perceive at various Environments on the flee as allotment of Your CI construct

    after getting a script that spins up a VM or configures a container, it’s facile to add it to your CI construct. The competencies is that your exams will elope on a pristine ambiance, with out a chance of fallacious positives as a result of leftover configurations from ancient types of the utility or from different applications that had up to now shared the selfsame static verify ambiance, or because of verify statistics modified in a outdated perceive at various run.

    Many americans occupy scripts that they’ve hacked as much as simplify their lives, but they may additionally no longer be commandeer for unattended execution. Your scripts (or the tools you utilize to interpret declarative configuration standards) should be capable of elope with out issuing any prompts (comparable to prompting for an administrator password). They additionally deserve to be idempotent (it's, it won’t Do any Hurt to elope them dissimilar times, within the case of restarts). Any runtime values that occupy to be supplied to the script should be available with the aid of the script because it runs, and never require any pilot “tweaking” just before each run.

    The thought of “generating an ambiance” can furthermore sound infeasible for some stacks. buy the suggestion extensively. For a Linux environment, it’s fairly customary to create a VM every time you need one. For other environments, you can furthermore no longer be capable of Do exactly that, but there may be some steps you can buy according to the gauge notion of growing an ambiance on the fly.

    as an instance, a group working on a CICS application on an IBM mainframe can define and originate a CICS environment any time through operating it as a gauge job. in the early Nineteen Eighties, they used to Do that mechanically. as the Eighties dragged on (and endured throughout the 1990s and 2000s, in some groups), the realm of company IT grew to become more and more bureaucratized except this means become taken out of builders’ fingers.

    unusually, as of 2017 very few development teams occupy the alternative to elope their own CICS environments for experimentation, construction, and preliminary testing. I notify “surprisingly” because so many different aspects of their working lives occupy better dramatically, whereas that component looks to occupy moved in retrograde. They don’t occupy such issues engaged on the front conclusion of their functions, however after they stream to the again halt they Fall via a figure of time warp.

    From a simply technical factor of view, there’s nothing to cease a development crew from doing this. It qualifies as “producing an atmosphere,” in my view. that you can’t elope a CICS materiel “within the cloud” or “on a VM” (at the least, now not as of 2017), however that you may follow “cloud considering” to the problem of managing your substances.

    in a similar fashion, that you would be able to drill “cloud considering” to different materials on your ambiance, as neatly. exercise your creativeness and creativity. Isn’t that why you chose this province of work, after all?

    Generate creation Environments on the flee as a allotment of Your CD Pipeline

    This recommendation is fairly a trustworthy deal the selfsame because the ancient one, except that it happens later in the CI/CD pipeline. once you occupy some ilk of automated deployment in place, that you can extend that manner to encompass instantly spinning up VMs or instantly reloading and provisioning hardware servers as a allotment of the deployment technique. At that element, “deployment” in reality means creating and provisioning the target atmosphere, as adverse to relocating code into an current environment.

    This strategy solves a yoke of problems past gauge configuration changes. as an instance, if a hacker has introduced anything else to the creation ambiance, rebuilding that atmosphere out-of-supply that you wield eliminates that malware. people are discovering there’s charge in rebuilding production machines and VMs commonly although there aren't any alterations to “deploy,” for that occasions in addition to to steer limpid of “configuration float” that happens once they commemorate alterations over time to a protracted-working example.

    Many organizations elope windows servers in creation, in particular to serve third-party packages that require that OS. an controversy with deploying to an existing windows server is that many functions require an installer to be present on the target example. often, suggestions safety americans frown on having installers attainable on any production illustration. (FWIW, I account them.)

    if you create a home windows VM or provision a home windows server on the flee from managed sources, then you definitely don’t want the installer once the provisioning is complete. You won’t re-deploy an utility; if a metamorphosis is crucial, you’ll rebuild the entire example. that you could Put together the ambiance earlier than it’s purchasable in construction, and then delete any installers that had been used to provision it. So, this system addresses more than simply the works-on-my-desktop issue.

    When it involves lower back-conclusion methods affection zOS, you received’t be spinning up your own CICS regions and LPARs for construction deployment. The “cloud pondering” if so is to occupy two identical production environments. Deployment then becomes a bethink of switching traffic between both environments, in set of migrating code. This makes it less complicated to Put into consequence production releases devoid of impacting purchasers. It additionally helps alleviate the works-on-my-desktop problem, as checking out late in the dawn cycle happens on a apt construction atmosphere (however shoppers aren’t pointed to it yet).

    The customary objection to here is the cost (it really is, expenses paid to IBM) to aid twin environments. This objection is constantly raised through americans who occupy not thoroughly analyzed the expenses of everything of the delay and rework inherent in doing issues the “historic manner.”

    Pitfall #three: unpleasant Surprises When Code Is Merged

    issue: different teams and people wield code examine-out and investigate-in in numerous methods. Some checkout code once and modify it during the path of a task, might be over a term of weeks or months. Others consign minute alterations frequently, updating their aboriginal reproduction and committing alterations time and again per day. Most teams Fall someplace between these extremes.

    generally, the longer you preserve code checked out and the extra changes you figure to it, the better the possibilities of a concussion for those who merge. It’s furthermore likely that you will occupy forgotten precisely why you made each itsy-bitsy change, and so will the different americans who occupy modified the equal chunks of code. Merges can furthermore be a trouble.

    throughout these merge events, everything different value-add labor stops. everybody is attempting to pattern out a pass to merge the changes. Tempers flare. everybody can claim, accurately, that the gadget works on their laptop.

    solution: an facile system to abide away from this kindly of aspect is to consign minute adjustments often, elope the perceive at various suite with everything and sundry’s adjustments in region, and deal with minor collisions at once before memory fades. It’s extensively less disturbing.

    The better allotment is you don’t need any particular tooling to Do this. It’s simply a question of self-discipline. then again, it best takes one particular person who continues code checked out for a very long time to debris everyone else up. be sensible about that, and kindly serve your colleagues set up first rate habits.

    Pitfall #four: Integration mistakes establish Late

    issue: This problem is similar to Pitfall #3, however one stage of abstraction higher. besides the fact that a crew commits minute alterations generally and runs a complete suite of automatic exams with each commit, they may additionally journey giant considerations integrating their code with other components of the solution, or interacting with different applications in context.

    The code may additionally labor on my laptop, in addition to on my team’s integration verify environment, but as quickly as they buy the next step forward, everything hell breaks loose.

    solution: There are a few solutions to this difficulty. the primary is static code evaluation. It’s becoming the norm for a perennial integration pipeline to include static code analysis as a allotment of each build. This happens earlier than the code is compiled. Static code evaluation materiel investigate the source code as text, looking for patterns which are everyday to outcomes in integration mistakes (amongst different issues).

    Static code analysis can detect structural problems within the code such as cyclic dependencies and towering cyclomatic complexity, as well as different simple complications affection useless code and violations of coding standards that are likely to raise cruft in a codebase. It’s simply the sort of cruft that explanations merge hassles, too.

    A connected recommendation is to buy any warning flush errors from static code analysis materiel and from compilers as precise errors. accumulating warning stage mistakes is a superb solution to rotate out to be with mysterious, surprising behaviors at runtime.

    The 2d acknowledge is to integrate accessories and elope automatic integration examine suites frequently. installation the CI pipeline so that when everything unit-degree checks move, then integration-level exams are completed immediately. Let failures at that stage atomize the build, just as you Do with the unit-stage exams.

    With these two methods, which you can become sensible of integration mistakes as early as viable within the start pipeline. The previous you detect a problem, the more convenient it is to fix.

    Pitfall #5: Deployments Are Nightmarish All-night Marathons

    problem: Circa 2017, it’s nevertheless bonafide to determine organizations where americans occupy “release events” each time they deploy code to production. unlock parties are just affection all-night frat parties, only devoid of the fun.

    The vicissitude is that the primary time purposes are done in a construction-like ambiance is when they are carried out in the true production environment. Many concerns only reach into view when the crew tries to deploy to production.

    Of direction, there’s no time or budget allotted for that. individuals working in a rush may furthermore regain the device up-and-working someway, but regularly at the cost of regressions that pop up later in the figure of production aid issues.

    And it’s everything as a result of, at each stage of the birth pipeline, the materiel “worked on my computing device,” no matter if a developer’s computing device, a shared check environment configured in a different pass from production, or every other unreliable ambiance.

    answer: The acknowledge is to configure every ambiance everything through the dawn pipeline as near construction as viable. the following are approved guidelines that you just may need to alter counting on local instances.

    when you've got a staging ambiance, in set of twin creation environments, it's going to be configured with everything inside interfaces are animated and exterior interfaces stubbed, mocked, or virtualized. despite the fact that here is as far as you buy the idea, it'll probably eradicate the want for free up parties. but when that you would be able to, it’s decent to proceed upstream in the pipeline, to sever back unexpected delays in promoting code alongside.

    check environments between construction and staging should still be running the identical version of the OS and libraries as construction. They should still be isolated at the acceptable limit in response to the scope of testing to be performed.

    at the dawn of the pipeline, if it’s possible, augment on the selfsame OS and selfsame regular configuration as production. It’s probably you should not occupy as tons memory or as many processors as in the construction ambiance. The building ambiance furthermore won't occupy any are animated interfaces; everything dependencies exterior to the utility could be faked.

    At a minimum, hale the OS and liberate stage to construction as closely as you could. as an example, in case you’ll be deploying to windows Server 2016, then exercise a windows Server 2016 VM to elope your short CI build and unit test suite. windows Server 2016 is based on NT 10, so Do your building labor on home windows 10 because it’s additionally in keeping with NT 10. similarly, if the production environment is windows Server 2008 R2 (in accordance with NT 6.1) then further on home windows 7 (also in line with NT 6.1). You won’t be capable of regain rid of each configuration difference, but you may be capable of steer limpid of the majority of incompatibilities.

    follow the equal rule of thumb for Linux goals and construction techniques. for example, if you will deploy to RHEL 7.three (kernel edition three.10.x), then elope unit exams on the identical OS if feasible. otherwise, perceive for (or build) a version of CentOS in keeping with the selfsame kernel edition as your creation RHEL (don’t matter on). At a minimum, elope unit checks on a Linux distro based on the identical kernel version because the target creation instance. Do your development on CentOS or a Fedora-based distro to sever inconsistencies with RHEL.

    in case you’re the exercise of a dynamic infrastructure administration system that contains constructing OS instances from supply, then this vicissitude becomes a total lot less demanding to handle. that you would be able to construct your construction, verify, and creation environments from the equal sources, assuring edition consistency during the birth pipeline. but the fact is that only a few agencies are managing infrastructure in this pass as of 2017. It’s extra probably that you simply’ll configure and provision OS situations in accordance with a published ISO, and then install packages from a private or public repo. You’ll need to pay nigh attention to types.

    in case you’re doing development labor to your own computing device or laptop, and furthermore you’re using a pass-platform language (Ruby, Python, Java, and many others.), you may account it doesn’t matter which OS you employ. You could occupy a pleasant development stack on home windows or OSX (or whatever) that you’re at ease with. then again, it’s a trustworthy suggestion to spin up a aboriginal VM operating an OS that’s closer to the creation atmosphere, simply to preclude sudden surprises.

    For embedded development where the development processor is distinctive from the goal processor, include a collect step to your low-level TDD cycle with the compiler alternate options set for the target platform. this may expose mistakes that don’t occur if you chance to assemble for the development platform. from time to time the equal edition of the identical library will prove distinctive behaviors when executed on different processors.

    a further recommendation for embedded construction is to constrain your building ambiance to occupy the selfsame memory limits and other aid constraints as the goal platform. that you would be able to seize unavoidable styles of mistakes early by doing this.

    For one of the older lower back conclusion platforms, it’s feasible to Do development and unit testing off-platform for convenience. pretty early within the start pipeline, you’ll want to upload your supply to an ambiance on the goal platform and construct and test there.

    for example, for a C++ utility on, say, HP NonStop, it’s handy to Do TDD on some thing aboriginal environment you adore (assuming that’s feasible for the class of utility), using any compiler and a unit trying out framework affection CppUnit.

    in a similar way, it’s convenient to Do COBOL building and unit trying out on a Linux instance using GnuCOBOL; a stately deal quicker and more straightforward than using OEDIT on-platform for excellent-grained TDD.

    despite the fact, in these instances, the goal execution ambiance is awfully distinctive from the building ambiance. You’ll wish to exercise the code on-platform early in the birth pipeline to dispose of works-on-my-laptop surprises.


    The works-on-my-machine vicissitude is among the leading causes of developer stress and misplaced time. The leading judgement for the works-on-my-laptop problem is variations in configuration across construction, check, and production environments.

    The primary tips is to avoid configuration differences to the extent viable. buy pains to ensure everything environments are as corresponding to creation as is purposeful. Pay consideration to OS kernel versions, library types, API versions, compiler types, and the models of any home-grown utilities and libraries. When transformations can’t be avoided, then figure be sensible of them and deal with them as dangers. Wrap them in examine situations to supply early warning of any issues.

    The 2nd suggestion is to automate as lots checking out as viable at different degrees of abstraction, merge code frequently, build the software generally, elope the automatic perceive at various suites frequently, install often, and (the set feasible) construct the execution atmosphere frequently. this will back you notice issues early, while essentially the most simultaneous adjustments are nevertheless sparkling to your mind, and while the considerations are nevertheless minor.

    Let’s fix the area so that the subsequent generation of software developers doesn’t tolerate in repartee the phrase, “Works on my computer.”

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    Some advanced BCC topics | true questions and Pass4sure dumps

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    The BPF virtual machine is working its pass into an increasing number of kernel subsystems. The previous article in this sequence introduced the BPF Compiler Collection (BCC), which provides a set of tools for working with BPF. But there is more to BCC than a set of administrative tools; it furthermore provides a development environment for those wanting to create their own BPF-based utilities. Read on for an exploration of that environment and how it can be used to create programs and attach them to tracepoints.

    The BCC runtime provides a macro, TRACEPOINT_PROBE, that declares a role to be attached to a tracepoint that will be called every time the tracepoint fires. The following snippet of C code shows an blank BPF program that runs every time kmalloc() is called in the kernel:

    TRACEPOINT_PROBE(kmem, kmalloc) { recur 0; }

    The arguments to this macro are the category of the tracepoint and the event itself; this translates directly into the debugfs file system hierarchy layout (e.g. /sys/kernel/debug/tracing/events/category/event/). In apt BCC-make-things-simple fashion, the tracepoint is automatically enabled when the BPF program is loaded.

    The kmalloc() tracepoint is passed a number of arguments, which are described in the associated format file. Tracepoint arguments are accessible in BPF programs through the magic args variable. For their example, they supervision about args->call_site, which is the kernel instruction address of the kmalloc() call. To sustain a matter of the different kernel functions that convoke kmalloc(), they can store a counter in a hash table and exercise the call-site address as an index.

    While BCC provides access to the complete purview of data structures exported by the kernel (and covered in the first article of this series), the two most frequently used are BPF_HASH and BPF_TABLE. Fundamentally, everything of BCC's data structures are maps, and higher-level data structures are built on top of them; the most basic of these is BPF_TABLE. The BPF_TABLE macro takes a ilk of table (hash, percpu_array, or array) as an argument, and other macros, such as BPF_HASH and BPF_ARRAY are simply wrappers around BPF_TABLE. Because everything data structures are maps, they everything back the selfsame core set of functions, including map.lookup(), map.update(), and map.delete(). (There are furthermore some map-specific functions such as map.perf_read() for BPF_PERF_ARRAY and for BPF_PROG_ARRAY.)

    Returning to their illustration program, they can store the kernel instruction-pointer address of the kmalloc() call-site (and the number of times it was called) using a BPF_HASH map and post-process it with Python. Here is the entire script, including the BPF program.

    #!/usr/bin/env python from bcc import BPF from time import sleep program = """ BPF_HASH(callers, u64, unsigned long); TRACEPOINT_PROBE(kmem, kmalloc) { u64 ip = args->call_site; unsigned long *count; unsigned long c = 1; matter = callers.lookup((u64 *)&ip); if (count != 0) c += *count; callers.update(&ip, &c); recur 0; } """ b = BPF(text=program) while True: try: sleep(1) for k,v in sorted(b["callers"].items()): print ("%s %u" % (b.ksym(k.value), v.value)) print except KeyboardInterrupt: exit()

    The syntax for the BPF_HASH macro is described in the BCC reference guide. The macro takes a number of optional arguments, but for most uses everything you need to specify is the name of this hash table instance (callers in this example), the key data ilk (u64), and the value data ilk (unsigned long). BPF hash table entries are accessed using the lookup() function; if no entry exists for a given key, NULL is returned. update() will either insert a fresh key-value pair (if notasoul exists) or update the value of an existing key. Thus, the BPF code for working with hashes can be quite compact because you can exercise a single role (update()) regardless of whether you're inserting a fresh particular or updating an existing one.

    Once a matter has been stored in the hash table, it can be processed with Python. Accessing the table is done by indexing the BPF object (called b in the example). The resultant Python object is a HashTable (defined in the BCC Python front end) and its items are accessed using the items() function. Note that Python BCC maps provide a different set of functions than BPF maps.

    items() returns a pair of Python c_long types whose values can be retrieved using the value member. For example, the following code from the illustration above iterates over everything items in the callers hash table and prints the kernel functions (using the BCC BPF.ksym() helper role to transfigure kernel addresses to symbols) that invoked kmalloc() and the number of calls:

    for k,v in sorted(b["callers"].items()): print ("%s %u" % (b.ksym(k.value), v.value))

    The output from this itsy-bitsy program looks like:

    # ./ i915_sw_fence_await_dma_fence 4 intel_crtc_duplicate_state 4 SyS_memfd_create 1 drm_atomic_state_init 4 sg_kmalloc 7 intel_atomic_state_alloc 4 seq_open 504 SyS_bpf 22

    Though this illustration is relatively straightforward, larger tools will not be, and developers need ways to debug more involved tools. Thankfully, there are a few ways that BCC helps simplify the debugging process.

    Controlling BPF program compilation and loading

    Whenever a Python BPF object is instantiated, the BPF program source code contained within it is automatically compiled and loaded into the kernel. The compilation process can be controlled by passing compiler flag arguments in the cflags parameter to the BPF class constructor. These flags are passed directly to the Clang compiler, so any options that you might normally pass to the compiler can be used; everything compiler warnings can be turned on with "cflags=['-Wall']", for instance.

    A approved exercise of cflags in the official BCC tools is to pass macro definitions. For example, the script statically allocates an array with enough space for every online CPU using Python's multiprocessing library and Clang's -D flag:

    cflags=["-DNUM_CPUS=%d" % multiprocessing.cpu_count()])

    The BPF class constructor furthermore accepts a number of debugging flags in the debug argument. Each of these flags individually enables extra logging during either the compilation or the loading process. For example, the DEBUG_BPF flag causes the BPF bytecode to be output, which can be a terminal hope for those really troublesome bugs. This output looks like:

    0: (79) r1 = *(u64 *)(r1 +8) 1: (7b) *(u64 *)(r10 -8) = r1 2: (b7) r1 = 1 3: (7b) *(u64 *)(r10 -16) = r1 4: (18) r1 = 0xffff8801a6098a00 6: (bf) r2 = r10 7: (07) r2 += -8 8: (85) convoke bpf_map_lookup_elem#1 9: (15) if r0 == 0x0 goto pc+3 R0=map_value(id=0,off=0,ks=8,vs=8,imm=0) R10=fp0 10: (79) r1 = *(u64 *)(r0 +0) R0=map_value(id=0,off=0,ks=8,vs=8,imm=0) R10=fp0 11: (07) r1 += 1 12: (7b) *(u64 *)(r10 -16) = r1 13: (18) r1 = 0xffff8801a6098a00 15: (bf) r2 = r10 16: (07) r2 += -8 17: (bf) r3 = r10 18: (07) r3 += -16 19: (b7) r4 = 0 20: (85) convoke bpf_map_update_elem#2 21: (b7) r0 = 0 22: (95) exit from 9 to 13: safe processed 22 insns, stack depth 16

    This output comes directly from the in-kernel verifier and shows every instruction of bytecode emitted by Clang/LLVM, along with the register situation on branch instructions. If this flush of detail still isn't enough, the DEBUG_BPF_REGISTER_STATE flag generates even more verbose log messages.

    For run-time debugging, bpf_trace_printk() provides a printk()-style interface for writing to /sys/kernel/debug/tracing/trace_pipe from BPF programs; those messages can then be consumed and printed in Python using the BPF.trace_print() function.

    However, a major drawback of this approach is that, since the trace_pipe file is a global resource, it contains everything messages written by concurrent writers, making it difficult to filter messages from a single BPF program. The preferred system is to store messages in a BPF_PERF_OUTPUT map inside the BPF program, then process them with open_perf_buffer() and kprobe_poll(). An illustration of this scheme is provided in the open_perf_buffer() documentation.

    Using BPF with applications

    This article has focused exclusively on attaching programs to kernel tracepoints, but you can furthermore attach programs to the user-space tracepoints included with many approved applications using User Statically-Defined Tracing (USDT) probes. In the next and final article of this series, I'll cover the source of USDT probes, the BCC tools that exercise them, and how you can add them to your own application.

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    Signing Day: Huntley's Talesky, R-B's Curran token with Upper Iowa | true questions and Pass4sure dumps

    Huntley linebacker Michael Talesky and Richmond-Burton two-way lineman Kyle Curran occupy not met each other, but that will change in a matter of months.

    The two will become teammates this summer at NCAA Division II Upper Iowa, the school to which they both recently committed. Talesky and Curran signed their National Letters of Intent on Wednesday, the start of the NCAA’s regular signing term for scholarship football players.

    Most of the area’s D-I and D-II players signed their letters Dec. 19 in the early signing period.

    Talesky (6-foot-0, 190 pounds) was a Northwest Herald All-Area first-team selection, while Curran (6-5, 260) was a second-teamer on the disgusting line. He started on both lines for the Rockets, who were 11-2 and advanced to the Class 4A playoffs semifinals.

    “It was very nice,” Talesky said of receiving the scholarship offer from Peacocks coach Tom Shea and his staff. “I didn’t really anticipate myself to regain there. It was just a blessing that it happened.”

    Upper Iowa is looking at Curran to play defensive tackle in its four-man front.

    “I always wanted to play at the next level,” Curran said. “My pride and joy is football. As I kept playing and they got farther into the playoffs, I thought, ‘If I’m trustworthy enough, they’ll find me.’ ”

    Rockets coach Mike Noll sent game videos on several seniors to colleges at different levels. Upper Iowa liked what it saw from Curran.

    “Kyle was their most physical player. He has a nonstop motor,” Noll said. “He plays as hard as he can everything the time. He’s very committed and hardworking.”

    Noll talked to youth and towering school coaches and, to the best of his knowledge, Curran never missed a drill from first grade on.

    “I’m really excited,” Curran said. “Coach Noll helped me figure myself into a better player to play at the next level. I’m excited to see what the college coaches can Do to serve me excel in D-II football.”

    Talesky was one of the area’s leaders with 95 tackles, 13 tackles for loss and six sacks from his middle linebacker position. He was a third-year starter on a team that finished 6-4 and made the Class 8A playoffs.

    Red Raiders aide coach Mike Slattery knew coaches on the Upper Iowa staff from when former Huntley player and aide coach Casey Popenfoose played there. He notified the staff about Talesky.

    “He’s a positive playmaker,” Raiders head coach Matt Zimolzak said of Talesky. “He started at safety as a sophomore, then played outside linebacker his junior year and then as a senior played inside. Schools saw he had diverse abilities where he could play different positions. It’s a stately fit for him.”

    Talesky said the coaches want him to add about 20 pounds to play outside linebacker. If he gets bigger during his career, he might be moved inside.

    Other college signings:

    • McHenry East graduate Ray Vohasek officially signed with North Carolina. Read Vohasek's narrative here.

    • McHenry West graduate Colton Folliard officially signed with Western Illinois. Read Folliard's narrative here.

    Fujifilm X-T30 review: hands on first perceive | true questions and Pass4sure dumps

    The fresh Fujifilm X-T30 inherits a lot of what they adore from the Fujifilm X-T3 and presents it in a smaller, more affordable package. Michael Topham takes a closer inspection

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