As of PHP 7.1, the php-mcrypt was deprecated. And as of PHP 7.2 it was completely removed. This is a problem, since a number of server software titles still depend upon this encryption tool. And because software like Nextcloud, ownCloud, and many more have yet to shift that dependency, you might find yourself unable to install without mcrypt on the system. What do you do? No matter how many times you run either apt-get install php-mcrypt or yum install php-mcrypt, it won’t work.

Fortunately, there’s a solution. Said solution falls onto the shoulders of the pecl command. PECL is the PHP Extension Community Library, which serves as a repository for PHP extensions. Through this repository, you can install mcrypt.

What is mcrypt?

The mcrypt extension is a replacement for the UNIX cryptcommand. These commands serve as a means to encrypt files on UNIX and Linux systems. The php-mcrypt extension serves as an interface between PHP and mcrypt.

Getting mcrypt installed

I’m going to walk you through the process of getting mcrypt installed on Ubuntu Server 16.04. It’s not challenging once you have the necessary dependencies added to your system. With mcrypt installed, you can continue with the installation of the software that depends upon this extension.

With that said, how do we install mcrypt? First, open up a terminal window and install the necessary dependencies with the commands:

sudo apt-get -y install gcc make autoconf libc-dev pkg-config
sudo apt-get -y install php7.2-dev
sudo apt-get -y install libmcrypt-dev

Once the dependencies have been installed, you can install mcrypt with the command:

sudo pecl install mcrypt-1.0.1

And there you go. Mcrypt is now installed. Go back to the process of installing whatever server software that depends upon this extension and you should be good to go.

Not gone, just moved

Don’t worry: mcrypt is not gone. It’s just been moved out of PHP and into PECL. But for those who have been installing via php-mcrypt for years, this makes for a pretty big shift. Now, instead of being able to install mcrypt with a single command, you have four to deal with. Even so, at least you still have mcrypt available. Eventually, however, I believe the mcrypt dependency will be migrated to another tool (such as OpenSSL).

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Although I have a degree in computer science and teach Microsoft programming, coding is not my day job. As a result, I go through relatively frequent periods when I’m not writing a single line of code, and then, when I get some free time, I try to jump back in.

Mostly, my programming now is supporting an open source donation system, and I do it both because I like to code and because I want to keep my chops up. It’s easy to lose touch with a skill like programming, so making sure you do some of it regularly is one way to stay reasonably fresh.

My normal workflow involves jumping between three main computers: My desktop, a machine by my couch, and my laptop. With cloud-based applications, this isn’t a problem. But with coding, it can be a pain.

To explain, let’s jump back in time. Back in the day, email users used to keep their email on their local computers. Outlook used PST files, and Eudora (if I remember correctly) used box files. The POP3 protocol was designed to allow users to connect into a mail server and download their messages.

This mean that your mail lived on one machine. If you were on another machine, you couldn’t see your mail store. IMAP sort of fixed that, as did Exchange. But many users were still POP3 users and did not have a central email repository.

Cloud-based email services like Gmail changed all that. Most of us, now, use a cloud-based email service and login through our browsers. We can look at our email from any machine (or phone) that has access to the cloud. This is the whole SaaS model. Whether its email like Gmail, CRM like Salesforce, accounting like Quickbooks online, to-do list management like Todoist, or big ERP systems like those offered by SAP, cloud-based SaaS services make mobile anywhere access a breeze.

Oddly enough, programming systems are somewhat behind the curve. There are certainly cloud-based programming environments like Amazon’s Cloud9, CodeAnywhere, CodeEnvy, and Visual Studio, but they’re far from perfect — at least for some coding needs.

For me, cloud-based coding is the holy grail. I’ve long wanted to be able to jump from system to system, and even anywhere there’s a browser, to be able to code. My current project lives in the cloud, has to be tested in the cloud, so why shouldn’t I be able to code it in the cloud?

CODING TOOLS

The thing is, I could. There are a ton of exceptional cloud-based code editors. Think of code editors as word processors, but instead of fancy formatting, they manage the unique aspects of the programming language and environment you’re working in.

They provide code completion (finishing out an object or function name), syntax highlighting (automatically different parts of code in different colors), refactoring (renaming elements of code throughout a project), code-folding (so you can see the big picture), and code reformatting (so the editor does the work of making it all pretty and readable).

These are huge helps for programmers. But there’s another key feature that I, at least, find absolutely essential: A symbolic debugger. A symbolic debugger is a tool that lets you set breakpoints in your code as it runs, examine the values of variables and objects, change those values on the fly, and more. It’s, essentially, the test probe of programming work.

Every modern browser has a built-in JavaScript debugger. JavaScript is run in the browser, so when you inspect a web page element, you can often get to the debugger. As a result, cloud-based coding environments have no problem providing JavaScript debugging.

While part of my donations engine is in JavaScript, the bulk is in PHP. This is the core language that WordPress runs, and my donations system runs inside of WordPress.

There are two main debugging engines for PHP: Xdebug and Zend. When they work, they’re both really excellent. But even in the best of times, they’re hard to setup and very fiddly. They have to execute code both locally and remotely, sometimes they have to set up an SSH channel to communicate debugging info, and they often require lots of configuration tweaks that are unique to every coding environment and every host.

CLOUD-BASED IDES (AND THEIR LIMITATIONS)

Every six months or so, I take a run at the various cloud coding environments to see if they finally support PHP debugging. And every six months or so, I come away disappointed.

CodeAnywhere has a number of wonderful features, including letting you store your source code in Google Drive or Dropbox. But it has absolutely no debugging support for PHP. It understands PHP syntax, but if you want to debug something, you have to drop in the equivalent of print statements throughout your code. It’s not optimal at all.

I tried to get CodeEnvy to work. CodeEnvy is based on Eclipse Che, a cloud-based version of the very powerful Eclipse IDE (interactive development environment). CodeEnvy actually has documentation on getting Zend and Xdebug working. That’s a rarity.

But after about four hours trying to get their default stacks to spin up with all the right configurations and work, I gave up. While some developers tune their development environments over the course of months or years, I need to be able to get in and get out. Clearly, while Eclipse and CodeEnvy are powerful, they’re too time-consuming to solve the problem.

Then I spent quite a while with AWS Cloud9. Amazon acquired Cloud9 in 2016. I thought this would be ideal, since AWS is AWS. I liked the idea of quick integration with S3, LightSail, and all the other AWS services. Unfortunately, I couldn’t get debugging PHP to work.

I did find an April 2018 post from an AWS guy that said, and I quote, “That should be possible, though none of us at Cloud9 have experience with doing this.” He pointed users to a six-year-old Stack Overflow note postulating how to do remote debugging, but it said nothing about making it work with the native Cloud9 EC2 image.

While both Microsoft and Google have cloud development offerings, neither seems to have an answer for PHP.

WHAT ABOUT A CLOUD-BASED DESKTOP?

I thought about setting up a VDI account on Azure or AWS. That would have worked in that I could remote connect into one of those accounts, keep the desktop and configuration on the cloud, and remote desktop from almost any browser.

The thing was, I didn’t want to manage another desktop. Using a Windows-based setup is easiest, at least for me. But WordPress is fussy on Windows, so I’d have to set up Windows, an IDE on the cloud Windows install, and then set up remote debugging to a Linux box hosting my software.

Setting up a virtual Linux host in the cloud is cake, but getting a remote desktop configuration is a bit more work. It’s doable, but then I’d be switching to a Linux UI in a browser window to do all my coding. Meh.

It was when I considered setting up a remote Mac desktop in the cloud using a service like MacInCloud and MacStadium that I realized the idea of a cloud-based remote desktop is dumb. First, the Mac services are either underpowered or very expensive.

But more to the point was this: If I were going to rent someone else’s ancient Mac mini colocated in a cloud somewhere, why wouldn’t I just put one of my own Mac mini units online, connect to it via a remote desktop, and go to town? There’s no reason at all, except I’ve done that already before and it was suboptimal.

Because I’ve been down that road before, I decided not to go there again. I really do want a true cloud-based IDE environment without having to sysadmin another computer, virtual or not.

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Logistics is the process of planning, implementing, and controlling procedures for the efficient and effective transportation and storage of goods, including services and related information.

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Pune, India — (SBWIRE) — 07/09/2018 — Global Logistic Software Market Research Report.” global logistic software market can be bifurcated as software type, end-user, and region. Based on software type, the market is segmented into warehouse management, labor management, transportation management and data management. The research provides a detailed assessment of recent cutting-edge technologies in the IT industry and the factors influencing the applications of the global market. It estimates the growth rate of various segments over the forecast period

The report segments the International Logistic Software Market on the basis of product, end users, and on the basis of topography. The product type segment includes the market’s division into basic, advanced, and professional versions. These sectors are primarily comprised of applications in IT, IoT, managed services, and more. The applications covered by the logistic software include automotive, government & defense, healthcare, telecommunication and it, industrial, engineering and manufacturing, oil & gas and others.

logistic software market is expected to reach approximately USD +16 billion by the end of 2023 with +8 % CAGR during forecast period 2017-2023.

The major players profiled in this report include: Advantech Corporation, Digilogistics, UTI Worldwide Inc, Hexaware Technologies, IBM Corporation, JDA Software, Oracle, Samsung Electronics Co, SAP AG, Tech Mahindra

Steady support to the IT & Telecom sector in developed regions is likely to enable their steady dominance in the Global Logistic Software Market in the coming years, but the growing acknowledgment of the high volume of unmet demand in emerging regions has driven the healthcare sector in countries such as North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, notwithstanding other dynamic economies in the region such as South East Asia, Japan, and China.

The global logistic software market is highly competitive. Various established international brands, domestic brands and as well as new entrants form a competitive landscape. The key players are nonstop increasingly seeking market expansion through various strategic mergers and acquisitions, innovation, increasing investments in research and development and cost-effective software portfolio. The logistic software market is highly competitive due to the presence of several large vendors.

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As human beings, we are faced with dilemmas on a day to day basis. From smartphones like iPhone vs Samsung to soft drinks such as Pepsi vs Coke. It can be difficult to know which one is best for you. It goes without saying that these products are different in one way or another. The same can be said about Java vs Python but with no rivalry. Unless you have been living in a cave, you already know that Java and Python are two of the most popular programming languages we have today. Therefore, you will never miss programmers who prefer one programming language over the other.

However, if you want to choose one programming language over the other, you need to know how they compare in terms of their ideal uses, application, similarities, and differences. This article will take you through a beginner-friendly comparison between Java vs Python so that you can know which programming language to choose.

Java vs Python: Differences between the two languages

Static and dynamic typing

The main difference between Java vs Python is that Python is dynamically typed while Java is statically typed. Python uses dynamic typing which allows users to change the variable type. This makes Python language easy to write, read but more complex to analyze. This explains why novice programmers find it easier to learn Python faster than other programming languages such as Java. With dynamic typing, newbie programmers can use their variables as they wish without bothering too much what their types are.

Java, on the other hand, uses static typing where a user is forced to choose a variable type which cannot be changed later in the programming language. Many developers say that static typing minimizes the chance that errors might go undetected, which can affect your program. If you don’t have to declare a variable before using them, there is a risk that you might misspell a name of a variable without knowing, thus creating a totally different variable.

Portability and speed

When it comes to portability, both Java and Python are very portable. However, Java popularity makes it a clear winner as it is possible to use it for desktop programs and web applications. In addition, the Java Virtual Machine is available almost everywhere, thus you can be sure your program will be used by almost every user. Java is faster than Python because the latter is interpreted, which makes it run slower than its counterpart. Therefore, if speed is not a big deal, you may want to use Python.

Indentation and Curly Braces

Java uses the traditional curly braces to define the start and end of each class definition and function. That means, you have to define blocks using semicolons, otherwise, the code will not work. Python is different from Java and other programming languages in that it uses a new way to separate a code into blocks. This is known as indentation. The good thing about indentation is that programmers are forced to set out their programs so as to enhance readability. Hence, there is no way an error can occur from missing braces.

How are these programming languages useful?

Both Python and Java are very useful in web and app development. Interactive websites can use Java to emphasize power and wide compatibility. While Python can be used thanks to its simple to learn syntax and potent scripting capabilities. Hence, Java and Python can be used in the creation of web apps. Also, Python and Java can be used for stand-alone programs. Java can be used to create video games like Minecraft and independent programs like OpenOffice.

On the other hand, Python is not commonly used for stand-alone programs, though it was used to create the first BitTorrent. However, Python is now dominating the world of AI, Data science and other cutting-edge technologies that make it one of the highly demanding programming languages.

How is one programing language better than the other and for what purpose?

Most programmers swear that they cannot use any other programming language other than Python. On the other hand, you will never miss people who still use Java. So, the million dollar question is which programming language is better than the other? If you go through various polls and online communities, you’ll see that Python is the winner. Most people believe that Python is easier to learn compared to Java. In addition, Python code is easier to understand and read than Java.

However, the popularity of Java means that you have to learn it so that you can create applications, which can run on different platforms such as Android. The potent Java Virtual Machine explains why Java is still used to build large applications used by most businesses today. Java is also better than Python thanks to its database access. Java Database Connectivity is stronger than Python’s data access layers, hence the reason why Java is preferred in companies with a critical database.

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SOFTWARE GOLIATH Oracle has announced a new subscription model that covers all Java SE licensing and support needs, providing support for users across servers, desktops, and cloud deployments.

With the new launch, they’ve really made an effort to shock you with the name. It’s called. Wait for it… Java SE Subscription. Wow.

“In order to further support the millions of worldwide businesses running Java in production […] Java Subscription removes enterprise boardroom concerns around mission critical, timely, software performance, stability and security updates,” the firm said in its release.

Java SE Subscription is all about complimenting the company’s long-standing Java SE releases as well as the OpenJDK ecosystem, where Oracle now produces open source OpenJDK binaries, enabling developers that don’t need commercial support or enterprise management tools.

The new model also gives commercial licensing to organisations, including commercial features and tools such as the Java Advanced Management Console, which can be used to identify, manage and tune Java SE desktop use across the enterprise. There’s Oracle Premier Support for current and previous Java SE versions bundled in as well, Orale said.

“Oracle is the world’s leader in providing both open source and commercially supported Java SE innovation, stability, performance and security updates for the Java Platform. Our long-standing investment in Java SE ensures customers get predictable and timely updates.”

He added that while the subscription model for updates and support has been long established in the Linux ecosystem, people are increasingly used to paying for services rather than products, so it’s a natural progression for Oracle to make the move to start offering a monthly Java SE subscription to suit service-based procurement models for enterprise customers.

The subscription announcement comes just one month after Java turned 20 years old.

Java was originally designed by James Gosling of Sun Microsystems in 1995 as a universal language which would overlay a virtual machine on any platform to run its ‘applets’.

The language, mostly based on C# and C++, has gone on to be the basis of set-top boxes, watches, modems, routers, in fact anything that requires an operating system, as well as an estimated 2.1 billion low-level mobile devices running its embedded version, Java ME.

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Is it possible for microscopes to learn a bit about the brain? Even be taught by neuroscientists to reliably recognize parts of brain cells… all on their own? Though it may seem like something straight out of “The Jetsons”, a neuroscientist and software engineer in the lab of MPFI’s Scientific Director, Dr. Ryohei Yasuda, Ph.D., is developing new software with the goal of vastly improving the daily life of a microscope user. Combining a specialized algorithm, aptly named a neural network with a small amount of training, microscopes can now autonomously and efficiently identify small neuronal compartments called dendritic spines with over 90% accuracy. Just like Rosie the robotic maid, microscopes equipped with this Spine Identification software are helping scientists streamline their daily routine, bringing research one step into the future.

In recent years, there has been a rapid expansion and advancement in powerful imaging technologies, capable of taking a look inside the brain with unprecedented resolution and sensitivity. From imaging technology alone, neuroscientists have gained an immense wealth of new information about the brain. But despite many advances in implementation and capabilities, powerful microscopes (and the software running them) are still lacking when it comes to ease of use and overall user experience.

In a new study published in PLOS ONE, Dr. Michael Smirnov, Ph.D., has created an imaging software he hopes will craft a new type of experience for users.

Smirnov explains that “When engineers and scientists design cutting-edge microscopes, they usually focus on the actual physical components and design. They are mostly interested in what these imaging technologies can do, what boundaries they can break and how they perform. Far less attention is placed on how these complex technologies can be made accessible for the average user and really improve their workflow. Each time I write my software, I always think about the user first; how can I make a difference for the person using it, make their research a little easier.”

The Yasuda lab studies the complex process called synaptic plasticity, which is thought to be the cellular basis of learning and memory. When single dendritic spines are stimulated, hundreds of signaling molecules are mobilized to carry new information throughout the neuron. Members of the lab investigate this process in detail utilizing 2-photon microscopy, hoping to glean insights into how the interplay of these molecules translates into memory.

Live 2-photon imaging experiments can be an intensive endeavor. Scientists must patiently sift through a neuron’s dendritic arbor, scanning hundreds of spines for suitable candidates to image. Experiments are frequently repeated to amass sufficient data and those that fail mid-way must be restarted. This often unspoken aspect can quickly turn prolonged imaging into a tedious and time consuming chore, ultimately slowing scientific progress.

Dr. Smirnov’s software aims to rescue neuroscientists from the humdrum of spine imaging. Weaving in an element of machine learning, the algorithm can be taught how to differentiate between dendrite backbone and dendritic spines after being fed a training data set of previously identified spines. Once the training period finishes, the software is capable of automatedly scanning through an image and demarcating spines it comes across with high precision. Unlike previously developed programs which can be computing intensive or optimized only for post imaging analysis, Smirnov’s software is fast, scalable and compatible with most live imaging setups and post analysis applications.

“We incorporated a machine learning approach, because we wanted our software to be flexible, adaptable and as easy to use as possible.” Says Smirnov “The program only requires the user to input an image and specify the scale. After that, the program does the rest.”

Smirnov describes that by automating the process of spine identification, the software has the potential to dramatically increase experiment workflow, shaving off hours of time. In addition, he has also made his program’s code readily available to the broader neuroscience community. A move he hopes will engage the community of coders working in the field and give them the ability to freely improve upon and customize the software, making it useful for wider applications.

Dr. Smirnov notes that Scientists at MPFI are not only committed to conducting high caliber basic neuroscience research, but also look for ways to continuously improve the research process; fast tracking new discoveries and positively impacting scientists’ daily lives.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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This Research Provides an in-depth analysis of Global Video Streaming Software Market By 2022. The Research profiles companies like Brightcove, Haivision, IBM Corporation, Kaltura, Kollective Technology, Ooyala, Panopto , Polycom, Qumu Corporation, Sonic Foundry, VBrick

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Houston, TX — (SBWIRE) — 07/03/2018 — Research N Reports has added a report, titled “Global Video Streaming Software Market Size, Status and Forecast 2022,” which provides an overview of the various factors enabling growth in the market. It also presents insights into various restraints that pose threat and highlights opportunities that will help the market pick pace in the forthcoming years.

Overview:
The video streaming software market isn’t just growing, it is accelerating. Video streaming refers to real-time viewing of content sent over the internet in a compressed form. Video streaming software services of Netflix, iTunes, Hulu, and YouTube have gained much popularity among the end users.

Global video streaming software market Dominated By major Players like Kaltlective Technology, Inc., Ooyala, Inc., Panopto, Polycom, Inc. And Qumu Corporation. Cisco is demonstrating a new infinite video platform, a hybrid cloud for high-end (OTT) and DVR-optimized products. The Infinite Video Platform is designed to automatically optimize the results of streaming video, ideal for all types of devices and scales, and Twitter has partnered with 16 new streaming companies such as Vox Media, Viacom, WNBA, and BuzzFeed. Others. This partnership will help Twitter expand the customer base of live video streaming software. In addition, demand for small and medium-sized enterprise video-on-demand streaming software is driving the growth of the video streaming software market. The low total cost of ownership (TCO) is one of the key factors driving the growth of the global video streaming software market as video-as-a-service (“video” And the widespread use of video in corporate training is another factor driving market growth.

While the transcoding and processing solutions sub-segment of the global video streaming software market is expected to account for the largest market share in the market, the video analytics solution segment is expected to grow at the highest rate during the forecast period as adoption time increases Use video analytics to provide an end-to-end view of video performance from the server to the network, and ultimately to the player. In addition, the growing trend of on-demand video streaming software is one of the key drivers of the growth of the video streaming software market.
Regional Outlook:
North America is the world’s largest market share followed by Europe and Asia-Pacific. The United States and Canada are dominating the North American market with technological improvements and increased adoption of artificial intelligence in the region. In addition, the region is well-equipped with infrastructure to enable faster technology implementation. In addition, increased adoption of social media is another key driver of growth for the region’s video streaming software market.
The report also includes a thorough overview of the competitive landscape and regulatory framework of the Global Video Streaming Software Market. This will provide readers a clear understanding of the state of competition, threats, major opportunities, and the major rules, regulations, plans, and policies impacting the market.

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PHP is a widely-used open source as well as general-purpose scripting language. It’s especially suited for website development and could be embedded into HTML.

With the growing number of websites vying to be on top, it’s critical to have one that’s aesthetic enough to sustain for long periods. PHP development companies believe in empowering organizations with tech innovation as well as digital transformation. Since its inception, it’s been deemed by a lot of industry verticals to build complex web apps, database driven and dynamic websites.

A PHP development software operates on majority of operating systems, which consist of UNIX, Linux, Mac OS X, Microsoft Windows and others. Furthermore, it supports most web servers. There are a lot of PHP extension libraries, which perform typical functionalities, as well as communities that support PHP libraries, consisting of a PHP Extension and App Repository that provides, keeps and distributes a structure library of typical function as well as other code, and the PHP Extension Community Library that provides C extension, which expand the core performance of PHP.

PHP development saves a considerable amount of money for a company by bringing down the overall cost of development. But, regardless of its low cost, the quality of development is not at all compromised. Offering maximum return on investment and minimizing overall cost of development, while transforming the whole workflow system is what the development aims for.

NEW LEASE ON LIFE FOR PHP STARTUPS

With tech startups, the hassle around the choice of technology appears to outshine the chicken-and-egg issue. On the tech side, PHP for startups was given up for lost for some time. However, while Django and Ruby on Rails advocates have been clashing swords to establish tech leadership, the PHP tech has substantially evolved recently. At the end of the day, the platform demonstrates incredible fitness for use in technology startups.

At the end of the day, this platform demonstrates incredible fitness for use in technology startups.

WHY PHP IS MORE REASONABLE OPTION FOR A STARTUP IDEA

PHP is one of the fastest languages for coding, deploying and execution. Originally, this language was designed for finding the shortest path and easiest solution. Furthermore, community contributors have steadily been moving the tech towards modular design in recent years.

1. Cost effectiveness. From a hiring viewpoint, project stuffing or looking for replacements for current team members is not that huge a headache. Developers of PHP are considerably cheaper because of comparably low entry-level salaries. The PHP resource pool is huge, and not susceptible to fashion trends. Given the tech-based stereotypes today, if a person persists to pursue a PHP career, chasing trends definitely is not his or her style. The dynamic open source environments are free for download, while offering easy-to-use workflow and automation focus. Some other powerful frameworks and tools are distributed for free.

2. Quality. The new generation contributors’ community has been struggling to eat not-so-uncommon opinion on bad practices or insecure code, which entry-level developers used for indulging in continuously. Nowadays, by and large, this perception is an outworn kind of thing. PHP development practices to regained their positions in the last few years, with several educational materials, to provide one-stop access and to resolve common tasks.

PHP IS IOT FRIENDLY

The latest PHP language version could execute various tasks within a single script, and this is the way that smart gadgets communicate. While the Java of Oracle could be a more suitable tech for bringing internet of things parts together, IBM already has launched a software development platform, which enables third-party developers to create PHP software for the IoT. Moreover, the language has a robust appeal for IoT e-commerce organizations. While PHP may not be the future of the internet of everything, it however looks like the technology would survive in the new era.

PHP IS EVERYWHERE

PHP is everywhere, powering 82.2 percent of all websites around. Currently, it’s the seventh most popular language. While there are four PHP versions in use, more organizations are expected to upgrade to PHP 7 in the future. With PHP, every possible use scenario already has been documented, and there is a plethora of technology tools for handling any development issue that a developer could face.

COST-EFFECTIVE PHP

PHP is 100 percent open source. What makes it appealing however for startups is the big and very active developer community. For those that could not afford to hire a skilled vendor in-house or locally, there are skilled, reliable offshore companies that cater to various requirements.

A robust PHP team with well-established processes, conventions and guidelines could accomplish many great things. The PHP development environment is vast, with organizations seeking development services for their processes using the programming language. PHP is easy to understand by users, without requiring any formal training before using the language for the purpose required. Web apps that are PHP-programmed are highly secure and easy to scale, compared to apps built in other language.

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