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HP HP NonStop Kernel Platform

HP says Itanium, HP-UX no longer useless yet | killexams.com real Questions and Pass4sure dumps

reader comments Share this story
  • finally week's purple Hat acme in Boston, Hewlett-Packard vice chairman for trade-typical Servers and software Scott Farrand turned into caught devoid of PR minders by using ServerWatch's Sean Michael Kerner, and can acquire slipped off message a little. In a video interview, Farrand suggested that HP turned into shifting its strategy for mission-vital methods far from the Itanium processor and the HP-UX operating apparatus and toward x86-based mostly servers and red Hat enterprise Linux (RHEL), via a project to deliver company-essential performance to the Linux working apparatus called venture Dragon Hawk, itself a subset of HP's mission Odyssey.

    undertaking Dragon Hawk is an effort to convey the high-availability points of HP-UX, corresponding to ServiceGuard (which has already been ported to Linux) to RHEL and the Intel x86 platform with a combination of server firmware and software. Dragon Hawk servers will accelerate RHEL 6 and provide the potential to partition processors into up to 32 isolated virtual machines—a know-how pulled from HP-UX's manner useful resource manager. Farrand said that HP changed into positioning Dragon Hawk as its future mission-crucial platform. "We actually support (Itanium and HP-UX) and fancy outright that, however going forward their system for mission-vital computing is transferring to an x86 world," Farrand instructed Kernel. "or not it's not via accident that individuals acquire de-dedicated to Itanium, particularly Oracle."

    HP vice chairman Scott Farrand, interviewed at crimson Hat acme through Sean Michael Kerner of ServerWatch

    considering HP remains expecting judgement in its case against Oracle, that observation may acquire made a brace of americans in HP's commerce faultfinding techniques unit choke on their morning espresso. And sources at HP impart that Farrand drifted a dinky bit off-direction in his feedback. The business's professional line on mission Odyssey is that it's in parallel to and complementary to the company's investments in Itanium and HP-UX. A source at HP said Farrand disregarded a piece of HP's undertaking Odyssey briefing notes to that impact: "challenge Odyssey comprises persisted funding in their relative mission-vital portfolio of Integrity, NonStop, HP-UX, OpenVMS in addition to their investments in building future mission-critical x86 structures. offering Serviceguard for Linux/x86 is a step toward reaching that mission-crucial x86 portfolio."

    task Odyssey, despite the fact, is HP's clear road ahead with shoppers that acquire not bought into HP-UX in the past. without a pilot for Itanium past purple Hat Enterprse Linux edition 5, and with RHEL being more and more crucial to HP's approach for cloud computing (and, pending litigation, back for Oracle on HP servers), in outright probability Farrand turned into just a dinky bit forward of the enterprise in his pronouncement.

    Tip of the hat to Ars reader Caveira for his tip on the ServerWatch story.

     

    HP Tries to Breathe life into Itanium through Combining It with Xeon | killexams.com real Questions and Pass4sure dumps

    The total war of words between Oracle on one aspect and HP and Intel on the different has now not waned, however HP is decided to preserve the Itanium going.

    In comes assignment Odyssey, a fresh development roadmap that allows you to in some route merge the Itanium platform with Intel Xeon processors.

    Oracle already said that every thing Itanium does can simply as smartly live accomplished via the Xeon succession of chips.

    As such, this could as smartly live interpreted and HP half-agreeing to that.

    Then once again, this is rarely the first and possibly might not live the final hybrid technological project ever made.

    “clients acquire been asking us to extend the mission-important sustain it's delivered these days with HP-UX on Integrity to an x86-based mostly infrastructure,” said Martin Fink, senior vp and commonplace manager of enterprise vital methods at HP.

    “HP plans to seriously change the server landscape for mission-essential computing by using the flexibility of HP BladeSystem and bringing key HP expertise improvements from Integrity and HP-UX to the x86 ecosystem. unlike the competitors, HP presents an open, integrated, lone platform method.”

    HP intends to enhance HP Integrity servers, HP NonStop methods and the HP-UX and OpenVMS working methods.

    nevertheless, the one aspect that drew consideration became the “DragonHawk” enclosures (HP Superdome 2 enclosure) which will let shoppers accelerate mission-vital workloads on HP-UX on Intel Itanium-primarily based blades at the identical time with Microsoft windows or crimson Hat commerce Linux workloads.

    The quarrel between HP and Oracle dates again months and started when Oracle talked about it will cease establishing fresh application for the Intel Itanium platform, which, it outlined, is outdated and artificially kept alive as a result of HP has been paying Intel to carryout so.

    HP definitely admitted to that but, then once again, the constrict it has with Intel is never in fact unlawful both. within the end, this is just a battle of hobbies with a lot of valued clientele caught within the core.


    BEA Unveils WebLogic Platform 7.0 | killexams.com real Questions and Pass4sure dumps

    BEA Unveils WebLogic Platform 7.0

    and settlement with HP

    utility server chief BEA methods Inc. consolidated its J2EE offerings into a lone product Tuesday. It likewise publicized its fresh relationship with Hewlett-Packard Co., which has abandoned its Bluestone software server in covet of BEA.

    WebLogic Platform 7.0 will present four BEA items for company integration on a lone CD. The J2EE server WebLogic Server, portal framework WebLogic Portal, integration broker WebLogic Integration, and construction environment WebLogic Workshop are actually bundled in a lone product, priced at $ninety,000 per CPU.

    Wynn White, senior director of product advertising and marketing at BEA, says WebLogic Platform 7.0 is the primary complete application platform product, contrasting it with IBM Corp.’s WebSphere and solar Microsystems Inc.’s SunONE. in line with White, WebSphere and SunONE’s individual items acquire divergent and sometimes incompatible architectures.

    WebLogic products share the very code base, getting rid of the requisite for consumers to write down glue code between the constituent equipment. “They already share the identical architecture,” White says.

    HP additionally stated that it will resell BEA’s application server items, signaling the halt of its Bluestone division. WebLogic will become the favored application server for HP-UX, as smartly because the operating programs that came with its Compaq acquisition: OpenVMS, Tru64 Unix, and NonStop kernel. BEA pointed out it might optimize WebLogic for these environments and future Itanium-primarily based versions.

    White pointed out the HP constrict opens an vital casual for his business, pointing out, “It creates a tremendous channel for us.”

    in addition, HP observed it will inaugurate to coach its revenue and consulting team of workers on the WebLogic platform, pushing its shoppers to the platform for integration initiatives. Conversely, BEA is making HP-UX and other HP working techniques a precedence for its consulting team of workers.

    WebLogic Platform 7.0 might live often obtainable this month for HP-UX, Solaris, Linux and windows. BEA has mapped out types for AIX, OpenVMS, Tru64 Unix, and NonStop kernel.

    in regards to the author

    Chris McConnell is Product and technology Editor for commerce systems.


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    One of the most insidious obstacles to Continuous Delivery (and to continuous rush in software delivery generally) is the works-on-my-machine phenomenon. Anyone who has worked on a software development team or an infrastructure support team has experienced it. Anyone who works with such teams has heard the phrase spoken during (attempted) demos. The issue is so common there’s even a badge for it:

    Perhaps you acquire earned this badge yourself. I acquire several. You should perceive my trophy room.

    There’s a longstanding tradition on Agile teams that may acquire originated at ThoughtWorks around the eddy of the century. It goes infatuation this: When someone violates the ancient engineering principle, “Don’t carryout anything dull on purpose,” they acquire to pay a penalty. The penalty might live to drop a dollar into the team snack jar, or something much worse (for an introverted technical type), infatuation standing in front of the team and singing a song. To clarify a failed demo with a glib “<shrug>Works on my machine!</shrug>” qualifies.

    It may not live workable to avoid the problem in outright situations. As Forrest Gump said…well, you know what he said. But they can minimize the problem by paying attention to a few obvious things. (Yes, I understand “obvious” is a word to live used advisedly.)

    Pitfall #1: Leftover Configuration

    Problem: Leftover configuration from previous labor enables the code to labor on the development environment (and maybe the test environment, too) while it fails on other environments.

    Pitfall #2: Development/Test Configuration Differs From Production

    The solutions to this pitfall are so similar to those for Pitfall #1 that I’m going to group the two.

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

    Common situation: Many developers set up an environment they infatuation on their laptop/desktop or on the team’s shared development environment. The environment grows from project to project as more libraries are added and more configuration options are set. Sometimes, the configurations affray with one another, and teams/individuals often beget manual configuration adjustments depending on which project is dynamic at the moment.

    It doesn’t capture long for the development configuration to become very different from the configuration of the target production environment. Libraries that are present on the development system may not exist on the production system. You may accelerate your local tests assuming you’ve configured things the very as production only to discover later that you’ve been using a different version of a key library than the one in production.

    Subtle and unpredictable differences in behavior occur across development, test, and production environments. The situation creates challenges not only during development but likewise during production support labor when we’re trying to reproduce reported behavior.

    Solution (long): Create an isolated, dedicated development environment for each project.

    There’s more than one practical approach. You can probably mediate of several. Here are a few possibilities:

  • Provision a fresh VM (locally, on your machine) for each project. (I had to add “locally, on your machine” because I’ve scholarly that in many larger organizations, developers must jump through bureaucratic hoops to tangle access to a VM, and VMs are managed solely by a divide functional silo. retreat figure.)
  • Do your development in an isolated environment (including testing in the lower levels of the test automation pyramid), infatuation Docker or similar.
  • Do your development on a cloud-based development environment that is provisioned by the cloud provider when you define a fresh project.
  • Set up your Continuous Integration (CI) pipeline to provision a fresh VM for each build/test run, to ensure nothing will live left over from the final build that might pollute the results of the current build.
  • Set up your Continuous Delivery (CD) pipeline to provision a fresh execution environment for higher-level testing and for production, rather than promoting code and configuration files into an existing environment (for the very reason). Note that this approach likewise gives you the odds of linting, style-checking, and validating the provisioning scripts in the chummy course of a build/deploy cycle. Convenient.
  • All those options won’t live feasible for every conceivable platform or stack. Pick and choose, and roll your own as appropriate. In general, outright these things are pretty light to carryout if you’re working on Linux. outright of them can live done for other *nix systems with some effort. Most of them are reasonably light to carryout with Windows; the only issue there is licensing, and if your company has an enterprise license, you’re outright set. For other platforms, such as IBM zOS or HP NonStop, anticipate to carryout some hand-rolling of tools.

    Anything that’s feasible in your situation and that helps you seclude your development and test environments will live helpful. If you can’t carryout outright these things in your situation, don’t worry about it. Just carryout what you can do.

    Provision a fresh VM Locally

    If you’re working on a desktop, laptop, or shared development server running Linux, FreeBSD, Solaris, Windows, or OSX, then you’re in expedient shape. You can utilize virtualization software such as VirtualBox or VMware to stand up and tear down local VMs at will. For the less-mainstream platforms, you may acquire to build the virtualization appliance from source.

    One thing I usually recommend is that developers cultivate an attitude of laziness in themselves. Well, the birthright benevolent of laziness, that is. You shouldn’t feel perfectly delighted provisioning a server manually more than once. capture the time during that first provisioning exercise to script the things you discover along the way. Then you won’t acquire to recollect them and repeat the very mis-steps again. (Well, unless you baskin that sort of thing, of course.)

    For example, here are a few provisioning scripts that I’ve Come up with when I needed to set up development environments. These are outright based on Ubuntu Linux and written in Bash. I don’t know if they’ll back you, but they labor on my machine.

    If your company is running RedHat Linux in production, you’ll probably want to adjust these scripts to accelerate on CentOS or Fedora, so that your development environments will live reasonably nearby to the target environments. No titanic deal.

    If you want to live even lazier, you can utilize a appliance infatuation Vagrant to simplify the configuration definitions for your VMs.

    One more thing: Whatever scripts you write and whatever definition files you write for provisioning tools, reserve them under version control along with each project. beget positive whatever is in version control for a given project is everything necessary to labor on that project…code, tests, documentation, scripts…everything. This is rather important, I think.

    Do Your development in a Container

    One route of isolating your development environment is to accelerate it in a container. Most of the tools you’ll read about when you search for information about containers are really orchestration tools intended to back us manage multiple containers, typically in a production environment. For local development purposes, you really don’t requisite that much functionality. There are a brace of practical containers for this purpose:

    These are Linux-based. Whether it’s practical for you to containerize your development environment depends on what technologies you need. To containerize a development environment for another OS, such as Windows, may not live worth the effort over just running a full-blown VM. For other platforms, it’s probably impossible to containerize a development environment.

    Develop in the Cloud

    This is a relatively fresh option, and it’s feasible for a limited set of technologies. The odds over building a local development environment is that you can stand up a fresh environment for each project, guaranteeing you won’t acquire any components or configuration settings left over from previous work. Here are a brace of options:

    Expect to perceive these environments improve, and anticipate to perceive more players in this market. Check which technologies and languages are supported so perceive whether one of these will live a fit for your needs. Because of the rapid pace of change, there’s no sense in listing what’s available as of the date of this article.

    Generate Test Environments on the hover as piece of Your CI Build

    Once you acquire a script that spins up a VM or configures a container, it’s light to add it to your CI build. The odds is that your tests will accelerate on a pristine environment, with no casual of fraudulent positives due to leftover configurations from previous versions of the application or from other applications that had previously shared the very static test environment, or because of test data modified in a previous test run.

    Many people acquire scripts that they’ve hacked up to simplify their lives, but they may not live suitable for unattended execution. Your scripts (or the tools you utilize to interpret declarative configuration specifications) acquire to live able to accelerate without issuing any prompts (such as prompting for an administrator password). They likewise requisite to live idempotent (that is, it won’t carryout any harm to accelerate them multiple times, in the case of restarts). Any runtime values that must live provided to the script acquire to live obtainable by the script as it runs, and not require any manual “tweaking” prior to each run.

    The concept of “generating an environment” may sound infeasible for some stacks. capture the suggestion broadly. For a Linux environment, it’s pretty common to create a VM whenever you requisite one. For other environments, you may not live able to carryout exactly that, but there may live some steps you can capture based on the common notion of creating an environment on the fly.

    For example, a team working on a CICS application on an IBM mainframe can define and start a CICS environment any time by running it as a gauge job. In the early 1980s, they used to carryout that routinely. As the 1980s dragged on (and continued through the 1990s and 2000s, in some organizations), the world of corporate IT became increasingly bureaucratized until this capability was taken out of developers’ hands.

    Strangely, as of 2017 very few development teams acquire the option to accelerate their own CICS environments for experimentation, development, and initial testing. I impart “strangely” because so many other aspects of their working lives acquire improved dramatically, while that aspect seems to acquire moved in retrograde. They don’t acquire such problems working on the front halt of their applications, but when they sprint to the back halt they tumble through a sort of time warp.

    From a purely technical point of view, there’s nothing to stop a development team from doing this. It qualifies as “generating an environment,” in my view. You can’t accelerate a CICS system “in the cloud” or “on a VM” (at least, not as of 2017), but you can apply “cloud thinking” to the challenge of managing your resources.

    Similarly, you can apply “cloud thinking” to other resources in your environment, as well. utilize your fancy and creativity. Isn’t that why you chose this territory of work, after all?

    Generate Production Environments on the hover as piece of Your CD Pipeline

    This suggestion is pretty much the very as the previous one, except that it occurs later in the CI/CD pipeline. Once you acquire some form of automated deployment in place, you can extend that process to comprehend automatically spinning up VMs or automatically reloading and provisioning hardware servers as piece of the deployment process. At that point, “deployment” really means creating and provisioning the target environment, as opposed to stirring code into an existing environment.

    This approach solves a number of problems beyond simple configuration differences. For instance, if a hacker has introduced anything to the production environment, rebuilding that environment out-of-source that you control eliminates that malware. People are discovering there’s value in rebuilding production machines and VMs frequently even if there are no changes to “deploy,” for that reason as well as to avoid “configuration drift” that occurs when they apply changes over time to a long-running instance.

    Many organizations accelerate Windows servers in production, mainly to support third-party packages that require that OS. An issue with deploying to an existing Windows server is that many applications require an installer to live present on the target instance. Generally, information security people frown on having installers available on any production instance. (FWIW, I accord with them.)

    If you create a Windows VM or provision a Windows server on the hover from controlled sources, then you don’t requisite the installer once the provisioning is complete. You won’t re-install an application; if a change is necessary, you’ll rebuild the entire instance. You can prepare the environment before it’s accessible in production, and then delete any installers that were used to provision it. So, this approach addresses more than just the works-on-my-machine problem.

    When it comes to back-end systems infatuation zOS, you won’t live spinning up your own CICS regions and LPARs for production deployment. The “cloud thinking” in that case is to acquire two identical production environments. Deployment then becomes a matter of switching traffic between the two environments, rather than migrating code. This makes it easier to implement production releases without impacting customers. It likewise helps alleviate the works-on-my-machine problem, as testing late in the delivery cycle occurs on a real production environment (even if customers aren’t pointed to it yet).

    The usual objection to this is the cost (that is, fees paid to IBM) to support twin environments. This objection is usually raised by people who acquire not fully analyzed the costs of outright the detain and rework inherent in doing things the “old way.”

    Pitfall #3: Unpleasant Surprises When Code Is Merged

    Problem: Different teams and individuals wield code check-out and check-in in various ways. Some checkout code once and modify it throughout the course of a project, possibly over a epoch of weeks or months. Others confide diminutive changes frequently, updating their local copy and committing changes many times per day. Most teams tumble somewhere between those extremes.

    Generally, the longer you reserve code checked out and the more changes you beget to it, the greater the chances of a jar when you merge. It’s likewise likely that you will acquire forgotten exactly why you made every dinky change, and so will the other people who acquire modified the very chunks of code. Merges can live a hassle.

    During these merge events, outright other value-add labor stops. Everyone is trying to device out how to merge the changes. Tempers flare. Everyone can claim, accurately, that the system works on their machine.

    Solution: A simple route to avoid this sort of thing is to confide diminutive changes frequently, accelerate the test suite with everyone’s changes in place, and deal with minor collisions quickly before memory fades. It’s substantially less stressful.

    The best piece is you don’t requisite any special tooling to carryout this. It’s just a question of self-discipline. On the other hand, it only takes one individual who keeps code checked out for a long time to mess everyone else up. live alert of that, and kindly back your colleagues establish expedient habits.

    Pitfall #4: Integration Errors Discovered Late

    Problem: This problem is similar to Pitfall #3, but one level of abstraction higher. Even if a team commits diminutive changes frequently and runs a comprehensive suite of automated tests with every commit, they may sustain significant issues integrating their code with other components of the solution, or interacting with other applications in context.

    The code may labor on my machine, as well as on my team’s integration test environment, but as soon as they capture the next step forward, outright hell breaks loose.

    Solution: There are a brace of solutions to this problem. The first is static code analysis. It’s becoming the norm for a continuous integration pipeline to comprehend static code analysis as piece of every build. This occurs before the code is compiled. Static code analysis tools examine the source code as text, looking for patterns that are known to result in integration errors (among other things).

    Static code analysis can detect structural problems in the code such as cyclic dependencies and towering cyclomatic complexity, as well as other basic problems infatuation inanimate code and violations of coding standards that watch to extend cruft in a codebase. It’s just the sort of cruft that causes merge hassles, too.

    A related suggestion is to capture any warning level errors from static code analysis tools and from compilers as real errors. Accumulating warning level errors is a considerable route to halt up with mysterious, unexpected behaviors at runtime.

    The second solution is to integrate components and accelerate automated integration test suites frequently. Set up the CI pipeline so that when outright unit-level checks pass, then integration-level checks are executed automatically. Let failures at that level demolish the build, just as you carryout with the unit-level checks.

    With these two methods, you can detect integration errors as early as workable in the delivery pipeline. The earlier you detect a problem, the easier it is to fix.

    Pitfall #5: Deployments Are Nightmarish All-Night Marathons

    Problem: Circa 2017, it’s noiseless common to find organizations where people acquire “release parties” whenever they deploy code to production. Release parties are just infatuation all-night frat parties, only without the fun.

    The problem is that the first time applications are executed in a production-like environment is when they are executed in the real production environment. Many issues only become visible when the team tries to deploy to production.

    Of course, there’s no time or budget allocated for that. People working in a rush may tangle the system up-and-running somehow, but often at the cost of regressions that pop up later in the form of production support issues.

    And it’s outright because, at each stage of the delivery pipeline, the system “worked on my machine,” whether a developer’s laptop, a shared test environment configured differently from production, or some other unreliable environment.

    Solution: The solution is to configure every environment throughout the delivery pipeline as nearby to production as possible. The following are common guidelines that you may requisite to modify depending on local circumstances.

    If you acquire a staging environment, rather than twin production environments, it should live configured with outright internal interfaces live and external interfaces stubbed, mocked, or virtualized. Even if this is as far as you capture the idea, it will probably eradicate the requisite for release parties. But if you can, it’s expedient to continue upstream in the pipeline, to reduce unexpected delays in promoting code along.

    Test environments between development and staging should live running the very version of the OS and libraries as production. They should live isolated at the appropriate limit based on the scope of testing to live performed.

    At the genesis of the pipeline, if it’s possible, develop on the very OS and very common configuration as production. It’s likely you will not acquire as much memory or as many processors as in the production environment. The development environment likewise will not acquire any live interfaces; outright dependencies external to the application will live faked.

    At a minimum, match the OS and release level to production as closely as you can. For instance, if you’ll live deploying to Windows Server 2016, then utilize a Windows Server 2016 VM to accelerate your quick CI build and unit test suite. Windows Server 2016 is based on NT 10, so carryout your development labor on Windows 10 because it’s likewise based on NT 10. Similarly, if the production environment is Windows Server 2008 R2 (based on NT 6.1) then develop on Windows 7 (also based on NT 6.1). You won’t live able to eradicate every lone configuration difference, but you will live able to avoid the majority of incompatibilities.

    Follow the very rule of thumb for Linux targets and development systems. For instance, if you will deploy to RHEL 7.3 (kernel version 3.10.x), then accelerate unit tests on the very OS if possible. Otherwise, sight for (or build) a version of CentOS based on the very kernel version as your production RHEL (don’t assume). At a minimum, accelerate unit tests on a Linux distro based on the very kernel version as the target production instance. carryout your development on CentOS or a Fedora-based distro to minimize inconsistencies with RHEL.

    If you’re using a dynamic infrastructure management approach that includes building OS instances from source, then this problem becomes much easier to control. You can build your development, test, and production environments from the very sources, assuring version consistency throughout the delivery pipeline. But the reality is that very few organizations are managing infrastructure in this route as of 2017. It’s more likely that you’ll configure and provision OS instances based on a published ISO, and then install packages from a private or public repo. You’ll acquire to pay nearby attention to versions.

    If you’re doing development labor on your own laptop or desktop, and you’re using a cross-platform language (Ruby, Python, Java, etc.), you might mediate it doesn’t matter which OS you use. You might acquire a nice development stack on Windows or OSX (or whatever) that you’re cozy with. Even so, it’s a expedient concept to spin up a local VM running an OS that’s closer to the production environment, just to avoid unexpected surprises.

    For embedded development where the development processor is different from the target processor, comprehend a compile step in your low-level TDD cycle with the compiler options set for the target platform. This can expose errors that don’t occur when you compile for the development platform. Sometimes the very version of the very library will exhibit different behaviors when executed on different processors.

    Another suggestion for embedded development is to constrain your development environment to acquire the very memory limits and other resource constraints as the target platform. You can tangle inevitable types of errors early by doing this.

    For some of the older back halt platforms, it’s workable to carryout development and unit testing off-platform for convenience. Fairly early in the delivery pipeline, you’ll want to upload your source to an environment on the target platform and build and test there.

    For instance, for a C++ application on, say, HP NonStop, it’s convenient to carryout TDD on whatever local environment you infatuation (assuming that’s feasible for the ilk of application), using any compiler and a unit testing framework infatuation CppUnit.

    Similarly, it’s convenient to carryout COBOL development and unit testing on a Linux instance using GnuCOBOL; much faster and easier than using OEDIT on-platform for fine-grained TDD.

    However, in these cases, the target execution environment is very different from the development environment. You’ll want to exercise the code on-platform early in the delivery pipeline to eradicate works-on-my-machine surprises.

    Summary

    The works-on-my-machine problem is one of the leading causes of developer stress and lost time. The main occasions of the works-on-my-machine problem is differences in configuration across development, test, and production environments.

    The basic counsel is to avoid configuration differences to the extent possible. capture pains to ensure outright environments are as similar to production as is practical. Pay attention to OS kernel versions, library versions, API versions, compiler versions, and the versions of any home-grown utilities and libraries. When differences can’t live avoided, then beget note of them and handle them as risks. Wrap them in test cases to provide early warning of any issues.

    The second suggestion is to automate as much testing as workable at different levels of abstraction, merge code frequently, build the application frequently, accelerate the automated test suites frequently, deploy frequently, and (where feasible) build the execution environment frequently. This will back you detect problems early, while the most recent changes are noiseless fresh in your mind, and while the issues are noiseless minor.

    Let’s fix the world so that the next generation of software developers doesn’t understand the phrase, “Works on my machine.”


    After 10 Years of Web Dev, Time to Re-evaulate, a sprint from PHP to Node, jQuery to React | killexams.com real questions and Pass4sure dumps

    burnout is real

    Doing this wasn’t easy. I had a well paid job coding several projects with traditional LEMP stacks. I worked for a considerable company, with people I liked, was stirring up the ladder, and felt confident with my abilities. With outright the stress and keyboard time required of a full time job, how does one find the additional motivation to learn fresh tools? The reply for me is not unheard of for programmers. I took a demolish to decompress and relight some motivation inside myself. Six months of hiking and traveling later, I felt ready to jump headfirst into what seemed to live outright the rage these days as the future of the internet. And I perceive it now, JavaScript has Come so far, and has such a wholesome environment, I’m ready to jump.

    occasional joys of being a developer

    After four months of non-stop development, I launched a zeal project called “PartyPal”, an app which allows you to interactively share photos, videos, and music, and watch them play on your TV. It’s a progressive web app in every sense and I’ve been able to deploy it across Web, Google Play, and Amazon Fire TV so far. Without Node & React, I’m not positive I would acquire been able to tangle this done in the amount of time I had allotted myself.

    My history goes back to my first job out of university, where I jumped straight into programming embedded systems. I was a Computer Engineering grad working for a Fortune 500. My time was spent in the world of C and malloc, contributing to kernel code for an in-house, real-time OS. This was challenging stuff, but I’ve always been drawn to the repercussion web development has and the ability to share your labor with people in a route that writing a device driver won’t quite do. The obvious jump was to PHP, with it’s C infatuation syntax, and it became a quick transition. So 10 years later, PHP has certainly Come a long way, and I don’t perceive myself jumping on the disdain bandwagon anytime soon. It helped me beget around a dozen towering trafficked, production level websites, has given me a deeper understanding of the internet and programming, and in common it works as well as you resolve to beget it work.

    the community people fancy to hate

    There are certainly limitations to PHP. It’s a resource hog on towering traffic sites, due to the requisite of unique instances on every request. This likewise brings the side consequence of constantly creating and killing connections to your DB, Redis, etc. WebSocket support is not ideal. Integrating cleanly with your front-end code (which is increasingly JS heavy), often requires a bit of flexibility. One sample of the many diminutive things you accelerate into is how objects & arrays are handled differently between PHP and JS, which can live the source of bugs in handling JSON. Or you requisite to carryout a lot of re-inventing the wheel, since you can’t share packages between the two, you often requisite to find or create divide libraries across both languages that carryout essentially the very thing. These two languages acquire coexisted for as long as I acquire been a developer, and you can continue making them labor well together far into the future, but that isn’t to impart they are a impeccable match.

    or it has already arrived

    Then comes JavaScript as a full stack solution. Starting from humble beginnings and evolving into something continuously more impressive. It’s become very powerful in a route that stays subtle. Maybe this is because the core of JS has remained stable (even if syntax has changed in newer versions). Code written 5 years ago, or longer, is likely to live very nearby to what you requisite out of it. “Almost everything is an object” as a core concept has allowed newer, cleaner syntax to live built on top, rather than designed separately. This becomes clear-cut in the route different ECMAScript versions can live transpiled into each other using Babel. PHP on the other hand has had to deal with more evolution. Classes and namespaces and continuing advances in PHP7, while considerable features for the language, acquire caused existing labor to continuously reset itself as it has to live rewritten to conform to fresh capabilities. Well used frameworks were constantly scraped because they became outdated by language features. As a developer who was in the middle of it, it could live frustrating at times to impart the least.

    for your scheduled dose of fanboyism

    Next I tangle to React (I acquire not used Angular or Vue yet, so tickle don’t hold that against me too much). I could not honestly live much more impressed. First, I should mention I acquire never considered myself a titanic front halt developer, always being more cozy on the back halt working with the data layer. Regardless, I acquire written a lot of jQuery in my day, and I’ve used other tools such as Backbone and Handlebars. I could probably live accused of using these well past their conjectural limits to beget front ends that turned into a bit of spaghetti due to endless lists of fresh features. Some of this may live because I never really understood how to structure UI code. Either way, React has guided me into new, better ways to approach the asynchronous nature of front ends, and that will stick with me with any appliance I utilize in the future. In addition, the clever utilize of a virtual DOM is fast. Very fast. expeditiously enough that I made an app running a WebView on a Fire TV stick, and the dinky $40 computer runs just fine serving up a fairly logic massive interface. Finally, an added bonus to outright of this is that back ends acquire become more bare bones. Servers can finally live focused on serving APIs and handling raw data, largely giving up the requisite to accelerate outright the extra logic required to render user specific HTML through a template on every network request.

    seriously, thank you

    JavaScript of today isn’t perfect. It certainly has problems unique to itself. outright I’m here to impart is these problems are not as pressing to me as I’ve dealt with in the past (I lived through IE6 after all), and I’m very optimistic about the direction it’s heading. Any ol’ developer can transform their ideas into fully-fledged, multi-platform applications in a fraction of the time of just a brace years ago. A titanic thank you to outright the considerable people who acquire made JavaScript the ecosystem it is today, I’m honestly in awe of what you acquire accomplished.


    Unique Collaboration Yields Secure and Resilient Virtual Computing Platform for Sensitive Cloud Deployments | killexams.com real questions and Pass4sure dumps

    Fritz Technologies, LynuxWorks and TransLattice bring technologyand expertise together to bear S.E.C.U.R.E. platform Solution

    DENVER, CO, DoDIIS Worldwide Conference - Three companies known for their innovation in producing solutions for government and DoD applications, LynuxWorks, Inc., TransLattice and Fritz Technologies Corporation, today announced a collaboration of their technologies and expertise to provide a fresh platform for building cloud deployments in sensitive environments. The resulting S.E.C.U.R.E. (Secure, Enterprise, Cross-Domain, Unified, Resilient Environment) platform solution creates the example environment for situations requiring secure hosting of applications, geographic redundancy of applications and data, and secure cross-domain transfer of information. Technology demonstrations at DoDIIS will live available in both the LynuxWorks (#752) and TransLattice booths (#460).

    A first-generation secure server-based separation kernel (SepKer) solution was delivered by Fritz Technologies, working with the LynxSecure 4.0 separation kernel from LynuxWorks. Fritz Technologies successfully demonstrated that SepKer technology can incorporate trusted boot via the Trusted Platform Module (TPM) and enhanced administrative tooling required to support the hosting of multiple domains and application missions whether in a data center, shipboard, airborne or terrestrial deployment.

    To add resiliency and efficiency to the already significant benefits provided by SepKer virtualization, LynuxWorks and Fritz worked with TransLattice to incorporate their state-of-the-art "lattice" application and data distribution solution into the SepKer platform. The TransLattice technology, TransLattice Application Platform (TAP), fully distributes both the application and its data across multiple virtual machines (VMs) and system platforms within a secure domain, ensuring non-stop operations, even in the case of the loss of one or more components of the computing "lattice." This means that mission-critical applications and data are fully distributed and the loss of an individual system (node) or multiple nodes does not risk the continued efficient operation of the application.

    "Customers today are looking to sprint their applications and data into the cloud, while maintaining the security of sensitive data," said straightforward Huerta, CEO and co-founder at TransLattice. "We are very confident that the S.E.C.U.R.E. platform will back meet the needs of their customers. By working closely with LynuxWorks and Fritz Technologies, they acquire been able to leverage both the technologies and expertise that provide a considerable environment for their TAP solution."

    The S.E.C.U.R.E. solution consolidates multiple applications onto VMs on a lone server platform while:

    o Maintaining complete domain separation in the virtualization solution

    o Reducing cost through hardware consolidation

    o Deploying market-standard operating systems including Windows and Red Hat Linux

    o Achieving towering security standards for military deployments

    o Improving resilience with a lattice approach to application and data distribution

    "It is a remarkable achievement that three innovators can Come together with the sole purpose of producing a solution that meets the exacting requirements of sensitive cloud deployments," said Bobbi-Michelle Wehrfritz, CEO of Fritz Technologies. "Based on Fritz Technologies' expertise in government and commercial data hub management, they know that their government integrators and commercial customers will live very interested in the comprehensive platform that they acquire built."

    The S.E.C.U.R.E. solution utilizes the LynxSecure 5.0 virtualization platform from LynuxWorks, running on a gauge x86-based server and offers secure VM domains running unmodified guest operating systems including Linux, Solaris and Windows. The TransLattice Application Platform (TAP) runs in one or multiple secure domains providing globally distributed, resilient application and data support. The S.E.C.U.R.E. platform provides Fritz Technologies developed trusted boot utilizing TPM and provides secure domain separation between unclassified, underhand and top underhand domains with optional support for cross-domain transfer under taut control via accredited guard/filter solutions. Other system features comprehend Fritz Technologies developed user-friendly administrative tools to efficiently manage the VM farms with audit reduction, monitoring and management tools to ensure safe and efficient system operations.

    "Both Fritz Technologies and TransLattice acquire proven to live very dependable partners for us as they capture their LynxSecure technology to their customers," said Gurjot Singh, CEO and president at LynuxWorks. "This fresh platform is a very exciting step in their relationships and they believe this will back their customers to successfully build and deploy the next generation of secure cloud systems."

    About TransLattice

    TransLattice is the geographically distributed application platform company that provides data where and when it is needed, for enterprise, cloud and hybrid environments. This fresh approach to enterprise and cloud infrastructure results in significantly reduced costs and deployment complexity, while dramatically improving system reliability, scalability and response time. TransLattice was founded in 2007 and officially launched in August 2010. The company received $9.5M in succession A funding from DCM, a leading early stage investment firm. For more information, tickle visit www.translattice.com.

    About LynuxWorks

    LynuxWorks is a world leader in secure virtualization and open and dependable real-time operating systems (RTOS). The award-winning LynxSecure offers a secure separation kernel and hypervisor that forms a platform for the development of high-assurance systems and cloud deployments for sensitive data. Since it was established in 1988, LynuxWorks has created technology that has been successfully deployed in thousands of designs and millions of products made by leading communications, avionics, aerospace/defense and consumer electronics companies. LynuxWorks' headquarters are located in San Jose, CA. For more information, visit www.lynuxworks.com.

    About Fritz Technologies

    Fritz Technologies Corporation develops, implements and delivers innovative cyber-security solutions for government and industry, outright based on leading-edge open-source and commercial-off-the shelf (COTS) technologies. Fritz delivers across the full spectrum of cyber-security requirements, including user authentication, attestation, trusted initialization, secure data transfer and assured separation of secure domains (e.g., unclassified, underhand and top secret). Fritz solutions acquire been developed for the DoD and the intelligence community to beget positive that underhand and top underhand intelligence and military information is accessible, protected, trusted and securely shared, enabling rapid communication and decision-making, to ensure organizational and mission success. For more information about Fritz, tickle visit www.fritztechnologies.com.

    LynuxWorks is a trademark and LynxOS is a registered trademark of LynuxWorks, Inc. TransLattice is a trademark of TransLattice, Inc. Other brand or product names are registered trademarks or trademarks of the respective holders.

    Media Contacts:

    Fritz Technologies

    Bobbi-Michelle Wehrfritz

    Fritz Technolgies

    707-318-7255

    bd@fritztechnologies.com

    TransLattice

    Kim Dearborn

    Nadel Phelan, Inc.

    831-440-2407

    kim.dearborn@nadelphelan.com

    Related Thomas Industry Update Thomas For Industry


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