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HP HP NonStop Kernel Platform

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

reader comments Share this story
  • finally week's purple Hat zenith 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 absorb 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 gear and toward x86-based mostly servers and red Hat enterprise Linux (RHEL), via a project to deliver company-essential performance to the Linux working gear called venture Dragon Hawk, itself a subset of HP's mission Odyssey.

    undertaking Dragon Hawk is an pains 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 sprint 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 back (Itanium and HP-UX) and cherish total that, however going forward their artery for mission-vital computing is transferring to an x86 world," Farrand instructed Kernel. "or not it's not via accident that individuals absorb de-dedicated to Itanium, particularly Oracle."

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

    considering HP remains expecting judgement in its case against Oracle, that observation may absorb made a couple of americans in HP's business censorious techniques unit choke on their morning espresso. And sources at HP traverse that Farrand drifted a itsy-bitsy 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 conditional 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 pellucid road ahead with shoppers that absorb not bought into HP-UX in the past. without a steer 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, attend for Oracle on HP servers), in total probability Farrand turned into just a itsy-bitsy 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 existent 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 unusual development roadmap that allows you to in some artery mingle the Itanium platform with Intel Xeon processors.

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

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

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

    “clients absorb 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, unique 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 sprint mission-vital workloads on HP-UX on Intel Itanium-primarily based blades at the identical time with Microsoft windows or crimson Hat business Linux workloads.

    The quarrel between HP and Oracle dates again months and started when Oracle talked about it will cease establishing unusual 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 achieve 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 existent 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 unique product Tuesday. It furthermore publicized its unusual relationship with Hewlett-Packard Co., which has abandoned its Bluestone software server in desire of BEA.

    WebLogic Platform 7.0 will present four BEA items for company integration on a unique CD. The J2EE server WebLogic Server, portal framework WebLogic Portal, integration broker WebLogic Integration, and construction environment WebLogic Workshop are actually bundled in a unique 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 absorb divergent and sometimes incompatible architectures.

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

    HP additionally stated that it will resell BEA’s application server items, signaling the discontinuance 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 censorious desultory for his business, pointing out, “It creates a gigantic channel for us.”

    in addition, HP observed it will open 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 exist 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 business systems.


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    One of the most insidious obstacles to Continuous Delivery (and to continuous tide in software delivery generally) is the works-on-my-machine phenomenon. Anyone who has worked on a software development team or an infrastructure back 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 absorb earned this badge yourself. I absorb several. You should survey my trophy room.

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

    It may not exist workable to avoid the problem in total 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 exist used advisedly.)

    Pitfall #1: Leftover Configuration

    Problem: Leftover configuration from previous toil enables the code to toil 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 relish 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 fight with one another, and teams/individuals often obtain manual configuration adjustments depending on which project is active 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 sprint your local tests assuming you’ve configured things the very as production only to determine later that you’ve been using a different version of a key library than the one in production.

    Subtle and unpredictable differences in conduct occur across development, test, and production environments. The situation creates challenges not only during development but furthermore during production back toil 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 believe of several. Here are a few possibilities:

  • Provision a unusual VM (locally, on your machine) for each project. (I had to add “locally, on your machine” because I’ve learned that in many larger organizations, developers must jump through bureaucratic hoops to accept access to a VM, and VMs are managed solely by a sunder functional silo. travel figure.)
  • Do your development in an isolated environment (including testing in the lower levels of the test automation pyramid), relish Docker or similar.
  • Do your development on a cloud-based development environment that is provisioned by the cloud provider when you define a unusual project.
  • Set up your Continuous Integration (CI) pipeline to provision a fresh VM for each build/test run, to ensure nothing will exist left over from the terminal 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 furthermore gives you the odds of linting, style-checking, and validating the provisioning scripts in the classic course of a build/deploy cycle. Convenient.
  • All those options won’t exist feasible for every conceivable platform or stack. Pick and choose, and roll your own as appropriate. In general, total these things are pretty smooth to achieve if you’re working on Linux. total of them can exist done for other *nix systems with some effort. Most of them are reasonably smooth to achieve with Windows; the only issue there is licensing, and if your company has an enterprise license, you’re total set. For other platforms, such as IBM zOS or HP NonStop, hope to achieve some hand-rolling of tools.

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

    Provision a unusual 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 honorable shape. You can disburse virtualization software such as VirtualBox or VMware to stand up and split down local VMs at will. For the less-mainstream platforms, you may absorb to build the virtualization implement from source.

    One thing I usually recommend is that developers cultivate an attitude of laziness in themselves. Well, the prerogative kindly of laziness, that is. You shouldn’t feel perfectly contented provisioning a server manually more than once. capture the time during that first provisioning exercise to script the things you determine along the way. Then you won’t absorb to bethink them and reiterate the very mis-steps again. (Well, unless you Enjoy that sort of thing, of course.)

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

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

    If you want to exist even lazier, you can disburse a implement relish 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, back them under version control along with each project. obtain certain whatever is in version control for a given project is everything necessary to toil on that project…code, tests, documentation, scripts…everything. This is rather important, I think.

    Do Your development in a Container

    One artery of isolating your development environment is to sprint 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 attend us manage multiple containers, typically in a production environment. For local development purposes, you really don’t exigency that much functionality. There are a couple 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 exist worth the pains 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 unusual 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 absorb any components or configuration settings left over from previous work. Here are a couple of options:

    Expect to survey these environments improve, and hope to survey more players in this market. Check which technologies and languages are supported so survey whether one of these will exist a fitting 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 absorb a script that spins up a VM or configures a container, it’s smooth to add it to your CI build. The odds is that your tests will sprint on a pristine environment, with no desultory of improper 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 absorb scripts that they’ve hacked up to simplify their lives, but they may not exist suitable for unattended execution. Your scripts (or the tools you disburse to interpret declarative configuration specifications) absorb to exist able to sprint without issuing any prompts (such as prompting for an administrator password). They furthermore exigency to exist idempotent (that is, it won’t achieve any harm to sprint them multiple times, in the case of restarts). Any runtime values that must exist provided to the script absorb to exist obtainable by the script as it runs, and not require any manual “tweaking” prior to each run.

    The belief 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 exigency one. For other environments, you may not exist able to achieve exactly that, but there may exist 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 achieve 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 absorb the option to sprint their own CICS environments for experimentation, development, and initial testing. I traverse “strangely” because so many other aspects of their working lives absorb improved dramatically, while that aspect seems to absorb moved in retrograde. They don’t absorb such problems working on the front discontinuance of their applications, but when they mosey to the back discontinuance they drop through a sort of time warp.

    From a purely technical point of view, there’s nothing to desist a development team from doing this. It qualifies as “generating an environment,” in my view. You can’t sprint 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. disburse your imagination and creativity. Isn’t that why you chose this domain 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 absorb some profile of automated deployment in place, you can extend that process to comprise 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 piteous 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 judgement as well as to avoid “configuration drift” that occurs when they apply changes over time to a long-running instance.

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

    If you create a Windows VM or provision a Windows server on the hover from controlled sources, then you don’t exigency 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 relish zOS, you won’t exist spinning up your own CICS regions and LPARs for production deployment. The “cloud thinking” in that case is to absorb 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 furthermore helps alleviate the works-on-my-machine problem, as testing late in the delivery cycle occurs on a existent production environment (even if customers aren’t pointed to it yet).

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

    Pitfall #3: Unpleasant Surprises When Code Is Merged

    Problem: Different teams and individuals maneuver 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 entrust tiny changes frequently, updating their local copy and committing changes many times per day. Most teams drop somewhere between those extremes.

    Generally, the longer you back code checked out and the more changes you obtain to it, the greater the chances of a jar when you merge. It’s furthermore likely that you will absorb forgotten exactly why you made every itsy-bitsy change, and so will the other people who absorb modified the very chunks of code. Merges can exist a hassle.

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

    Solution: A simple artery to avoid this sort of thing is to entrust tiny changes frequently, sprint 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 exigency any special tooling to achieve 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. exist watchful of that, and kindly attend your colleagues establish honorable 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 tiny 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 toil on my machine, as well as on my team’s integration test environment, but as soon as they capture the next step forward, total hell breaks loose.

    Solution: There are a couple of solutions to this problem. The first is static code analysis. It’s becoming the norm for a continuous integration pipeline to comprise 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 relish departed code and violations of coding standards that mind to increase 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 existent errors. Accumulating warning level errors is a powerful artery to discontinuance up with mysterious, unexpected behaviors at runtime.

    The second solution is to integrate components and sprint automated integration test suites frequently. Set up the CI pipeline so that when total unit-level checks pass, then integration-level checks are executed automatically. Let failures at that level demolish the build, just as you achieve 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 silent common to find organizations where people absorb “release parties” whenever they deploy code to production. Release parties are just relish 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 existent 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 accept the system up-and-running somehow, but often at the cost of regressions that pop up later in the profile of production back issues.

    And it’s total 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 nigh to production as possible. The following are common guidelines that you may exigency to modify depending on local circumstances.

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

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

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

    At a minimum, match the OS and release level to production as closely as you can. For instance, if you’ll exist deploying to Windows Server 2016, then disburse a Windows Server 2016 VM to sprint your quick CI build and unit test suite. Windows Server 2016 is based on NT 10, so achieve your development toil on Windows 10 because it’s furthermore 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 exist able to purge every unique configuration difference, but you will exist 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 sprint unit tests on the very OS if possible. Otherwise, survey for (or build) a version of CentOS based on the very kernel version as your production RHEL (don’t assume). At a minimum, sprint unit tests on a Linux distro based on the very kernel version as the target production instance. achieve 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 artery 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 absorb to pay nigh attention to versions.

    If you’re doing development toil on your own laptop or desktop, and you’re using a cross-platform language (Ruby, Python, Java, etc.), you might believe it doesn’t matter which OS you use. You might absorb a nice development stack on Windows or OSX (or whatever) that you’re comfortable with. Even so, it’s a honorable belief 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, comprise 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 absorb the very memory limits and other resource constraints as the target platform. You can entrap unavoidable types of errors early by doing this.

    For some of the older back discontinuance platforms, it’s workable to achieve 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 achieve TDD on whatever local environment you relish (assuming that’s feasible for the ilk of application), using any compiler and a unit testing framework relish CppUnit.

    Similarly, it’s convenient to achieve 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 purge 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 advice is to avoid configuration differences to the extent possible. capture pains to ensure total 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 exist avoided, then obtain note of them and deal 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, sprint the automated test suites frequently, deploy frequently, and (where feasible) build the execution environment frequently. This will attend you detect problems early, while the most recent changes are silent fresh in your mind, and while the issues are silent 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 mosey from PHP to Node, jQuery to React | killexams.com existent 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 powerful company, with people I liked, was piteous up the ladder, and felt confident with my abilities. With total the stress and keyboard time required of a complete time job, how does one find the additional motivation to learn unusual tools? The concede 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 exist total the rage these days as the future of the internet. And I survey it now, JavaScript has arrive so far, and has such a vigorous 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 participate 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 certain I would absorb been able to accept 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 provocative stuff, but I’ve always been drawn to the impact web development has and the capacity to participate your toil with people in a artery that writing a device driver won’t quite do. The obvious jump was to PHP, with it’s C relish syntax, and it became a quick transition. So 10 years later, PHP has certainly arrive a long way, and I don’t survey myself jumping on the abhor bandwagon anytime soon. It helped me obtain 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 determine to obtain it work.

    the community people cherish to hate

    There are certainly limitations to PHP. It’s a resource hog on towering traffic sites, due to the exigency of unique instances on every request. This furthermore brings the side upshot of constantly creating and killing connections to your DB, Redis, etc. WebSocket back is not ideal. Integrating cleanly with your front-end code (which is increasingly JS heavy), often requires a bit of flexibility. One illustration of the many tiny things you sprint into is how objects & arrays are handled differently between PHP and JS, which can exist the source of bugs in handling JSON. Or you exigency to achieve a lot of re-inventing the wheel, since you can’t participate packages between the two, you often exigency to find or create sunder libraries across both languages that achieve essentially the very thing. These two languages absorb coexisted for as long as I absorb been a developer, and you can continue making them toil well together far into the future, but that isn’t to traverse they are a flawless match.

    or it has already arrived

    Then comes JavaScript as a complete stack solution. Starting from humble beginnings and evolving into something continuously more impressive. It’s become very powerful in a artery 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 exist very nigh to what you exigency out of it. “Almost everything is an object” as a core concept has allowed newer, cleaner syntax to exist built on top, rather than designed separately. This becomes pellucid in the artery different ECMAScript versions can exist 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 powerful features for the language, absorb caused existing toil to continuously reset itself as it has to exist rewritten to conform to unusual 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 exist frustrating at times to traverse the least.

    for your scheduled dose of fanboyism

    Next I accept to React (I absorb not used Angular or Vue yet, so tickle don’t hold that against me too much). I could not honestly exist much more impressed. First, I should mention I absorb never considered myself a gigantic front discontinuance developer, always being more comfortable on the back discontinuance working with the data layer. Regardless, I absorb written a lot of jQuery in my day, and I’ve used other tools such as Backbone and Handlebars. I could probably exist accused of using these well past their supposed limits to obtain front ends that turned into a bit of spaghetti due to endless lists of unusual features. Some of this may exist 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 implement I disburse in the future. In addition, the perspicacious disburse of a virtual DOM is fast. Very fast. speedily enough that I made an app running a WebView on a Fire TV stick, and the itsy-bitsy $40 computer runs just fine serving up a fairly logic massive interface. Finally, an added bonus to total of this is that back ends absorb become more bare bones. Servers can finally exist focused on serving APIs and handling raw data, largely giving up the exigency to sprint total 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. total I’m here to traverse 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 couple years ago. A gigantic thank you to total the powerful people who absorb made JavaScript the ecosystem it is today, I’m honestly in awe of what you absorb accomplished.


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

    Fritz Technologies, LynuxWorks and TransLattice bring technologyand expertise together to relent 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 unusual 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 exemplar 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 exist 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 back 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 imperil the continued efficient operation of the application.

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

    The S.E.C.U.R.E. solution consolidates multiple applications onto VMs on a unique 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 arrive 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 heart management, they know that their government integrators and commercial customers will exist very interested in the comprehensive platform that they absorb 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, stealthy and top stealthy domains with optional back for cross-domain transfer under tight control via accredited guard/filter solutions. Other system features comprise 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 absorb proven to exist very trustworthy partners for us as they capture their LynxSecure technology to their customers," said Gurjot Singh, CEO and president at LynuxWorks. "This unusual platform is a very exciting step in their relationships and they believe this will attend 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 unusual 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 chain 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 trustworthy 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, total based on leading-edge open-source and commercial-off-the shelf (COTS) technologies. Fritz delivers across the complete spectrum of cyber-security requirements, including user authentication, attestation, trusted initialization, secure data transfer and assured separation of secure domains (e.g., unclassified, stealthy and top secret). Fritz solutions absorb been developed for the DoD and the intelligence community to obtain certain that stealthy and top stealthy 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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