Golang Vs C++ – Which One To Choose?

 Golang and C++, both languages hold good reputations in the tech world, but C++ dominated the desktop app’s industry. Simultaneously, GO, or Golang, is as yet driving forward rapidly, and at this point, the primary use of this language is handling the backend of large web applications. Hence, most of the developers get confused about which one to choose?- Golang or C++. If you are also one of them, then this blog is for you. We came with comparison of Golang vs c++ on the basis of various parameters. But before digging to the comparison, let’s see the overview of golang and C++.

What Is Golang?

Golang is a general purpose programming language having a wide range of applications. Meaning that you can do whatever you want. As it is also a procedural language, among one of the easiest programming languages out there, it’s said about this easiness. Beginners can easily get into this. Official document of golang is beneficial for programmers to get started. As it is open-source, it is expected to be run on all popular OSs like Linux, Mac OS, Windows.

Know the best practices for golang at- Golang Best Practices To Follow In 2021

What Is C++?

It is among the oldest languages and considered as a mid-range general programming language. C++ is not robust enough as today. If you’re experienced in C++, then there’s no need to look for a further help to complete the project. Regardless of whether you tackle commuting tasks, desktop applications, or web applications, the hidden masterpiece of this language is sneaked in the desktop applications. One of the dominant languages in the industry is popular for its speed and robust development. 

Golang Vs C++ –

1. High Vs Mid Level Language-

Golang is a high-level language meaning that it’s easy to read, understand and learn because it’s the most simplified version of machine code. It has more abstractions than C++. It also has features embedded in its structure, hence it’s easy to develop programs without issues.

Whereas C++ is a mid-level language, means it’s hard to understand and less simplified. It interacts directly with the abstraction layer of computer system, whereas Golang is heavily straslated before the computer can understand it. C++ doesn’t have that much user-friendly features, but it has open book, and if you can think of it then you can create it with C++. 

2. Performance-

Golang is a fast language with features like a garbage collector, static typed, and concurrency. Golang is a memory safe, hence during a compilation process, lots of CPU power goes into the part and impacts the performance. It follows the modern coding practices, so choosing this so far is the right choice. Performance wise programs in Golang will result better output.

Speed of C++ is pretty good during running a code as its exception property lets the code execute quickly. Lots of factors act on its performance. So it’s considered as a flash in the programming world. It is equipped with all parts that can turn down efforts while compiling a code, but still, the most significant task is its, albeit excellent, garbage collector.

Before going to any conclusion, let’s say if speed is the only concern then C++ can be a better choice, but still always remember that for beginner it’s hard to understand. 

3. Features-

C++ has support for data hiding that secures it to be hacked from hackers. Many OO functions like encapsulation,  inheritance or Polymorphism are there to take off. Golang is a modern language, there is a difference in the way of coding. 

Operators-

C++ has operators for mathematical logic like Rational, Arithmetic and miscellaneous operators.

Golang supports operators that you will get in C++. There will not be a big difference. But golang made it easier to perform them.

Faster Performance-

C++ is faster as it supports multi-threading, exception handling to run a code throughout exception-free.

Golang’s concurrency feature helps it to stand out among others. Concurrency can run a part of codes instead of following the from AtoZ compilation process.

4. Miscellaneous Functions-

Golang –

Structures-

Golang has structs to introduce a new data type or combine a different form of data into one entity. For example, let’s say an address has a specific name, street, city, state, postal code, hence here we’ve to combine them into a single structure. As compared to OOP, it is lightweight.

Pointers-

A pointer is an ability to store the memory addresses and points to where memory is located hence we can call back. Termed as a sort of Variable, it declared with *(dereferencing operator).

Maps-

Maps feature of golang is a collection of unordered pairs of key-value, it’s used to update or delete specific data. Here are some of the more functions- Recursion, Functions, Slice, Range, Interfaces, Type Embedding and Error handling with fast compilation process.

C++ –

Templates-

Templates lead c++ up to some scale. They are pre-generic piece of codes, modules that have been created by community since c++ was introduced. Hence, experts says that coding in C++ is easier, as they don’t need to write code when they can already search and find it out.

Implicit-

In C++ programming, you can shape data into according to your need and there are two go-to ways for this purpose.

5. Security-

Buffers are memory storage containers that holds the information and data when it transfers between locations and buffer overflows when you put a lot of information in it. In such a case, information spills over and gets written on adjacent memory locations. 

Buffer overflows aren’t generally a part of C++, but it’s a simple mistake for programmers to make if they’re not careful.

Advantage of Go is, its limitations in the code that prevent this from happening. It doesn’t allow programmers to buffer overflow. With Go, you can’t use pointer arithmetic, means you can’t use arrays using pointer values, you need to access them using index. This lets you to use methods that include checks and bounds, that prevent overflows.

6. Uses And Applications-

Golang is used to perform web-related tasks as it can stand alone, easy to debug, and at the same time works faster. Here are some of the best uses of Golang is- Web servers, web apps, websites.

C++ is used to develop games and apps, desktop apps, web browsers and graphics or image processing. There are lots of others too. People don’t want their browser to run slow hence c++ builds most browsers.

Final Words-

C++ and golang both are great languages that operate at different ends of the programming spectrum. Golang is a relatively new language as compared to c++, and is easy to use and has a scalable nature. Above comparison will surely help you to choose the best one for your next project. If you’re still confused to choose, consult with Solace experts, we’re here to help you through consultation and development. You can hire developers of Solace team for an effective development. Connect with solace get a free quote for software development. We will be happy to help you.

Top 10 Common Mistakes In Go Programming

 

Go is a popular and  trendy programming language. But Go developers often face particular common bugs and errors. Developers address them as Gotchas. Golang is a comparatively new programming language by Google. Native gophers often face these pitfalls, so here we came with some common mistakes and its solutions. Checkout the following Gotchas and if you have already come across them in Go programming journey, know the solutions of it.

Top 10 Common Mistakes In Go Programming-

1. Multiple-value in single-value context-

Issue-

 t  := time.Parse(time.RFC3339, “2018-04-06T10:49:05Z”)
fmt.Println(t)
../main.go:9:17: multiple-value time.Parse() in single-value context

When you try to parse the date and time, you get a compiler error.

Solution-

 t, err := time.Parse.RFC3339, “2018-04-06T10:49:05Z”)
  if err != nil {
      // TODO: Handle error.
}
fmt.Println(t)
2018-04-06 10:49:05 +0000 UTC

The parse function with time returns a time value and error value, and explicitly you need to use them. Or To ignore the unwanted error values, you can use a blank identifier _as below:

 m := map[string]float64{“pi”: 3.1416}
_, exists := m[“pi”] // exists == true

2. Possibly undesired value being used in goroutine-

Range variables in a loop are reused at each iteration; so, a goroutine created in a loop will point to the range variable from upper scope. In this way, the goroutine could use the variable with an undesired value. As per the below example, value of index and value used in goroutine are from the outer scope because goroutines run asynchronously, the value of index and value could be (and usually are) different from the intended value.

mySlice := []string{"A", "B", "C"}
for index, value := range mySlice {
go func() {
fmt.Printf("Index: %d\n", index)
fmt.Printf("Value: %s\n", value)
}()
}

To overcome this problem, a local scope should be created, like in the example below.

mySlice := []string{"A", "B", "C"}
for index, value := range mySlice {
  index := index
 
   value := value
go func() {
fmt.Printf("Index: %d\n", index)
fmt.Printf("Value: %s\n", value)
}()
}

Another approach to deal with this could be by passing the values as args to the goroutines.

mySlice := []string{"A", "B", "C"}
for index, value := range mySlice {
go func(index int, value string) {
fmt.Printf("Index: %d\n", index)
fmt.Printf("Value: %s\n", value)
}(index, value)
}

3. Nil pointer dereference-

Most of the time Go-developers face the issue of dereferencing of a nil pointer. Let’s check the issue-

 type Point struct {
     X, Y float64
}
Func (p *Point) Abs() float64 {
         Return math.Sqrt(p.X*p.X + p.Y*p.Y)
}
 func  main() {
            var p *Point
           fmt.Println(p.Abs())
}

Panic: runtime error: invalid memory address or nil dereference [signal] SIGSEGV: segmentation violation code=0xffffffff addr=0x0 pc=0xd2c5a]
 
goroutine 1 [running]:
main.(*Point).Abs(...)
         ../main.go:6
main.main()
        ../main.go:11 +0x1a 

Pointer in the main function (p) is nil, so you can not follow the nil pointer as it causes run-time error.

Solution-

func main() {
         var p *Point = new(Point)
         fmt.Println(p.Abs())
}

Either you can create a new Pont as mentioned in above snippet. Or Methods with pointer receivers either need a value or a pointer, so try this-

func main() {
var p Point //has zero value Point{X.0, Y.0}
fmt.Println(p.Abs())
}

4. Regular expression mismatch-

Know more at- https://solaceinfotech.com/blog/top-10-common-mistakes-in-go-programming/

10 Cool Benefits Of Outsourcing The SaaS Product Development

 

Global market for software development is continuously expanding. SaaS will probably acquire 45 percent of the total application software spending by 2021.  New sales model of SaaS development has replaced the more traditional model of software licensing. Most of the SaaS items presently accessible are applications for the web and mobile. These require no foundation and work under a membership model. It doesn’t need establishment and work under a subscription model. These days, SaaS performing companies are saturating the market with increasing demand and competition of SaaS solutions. To stay ahead with the competitors, industries have realized to make the product market fit instantly. Thus, numerous organizations are turning to outsource development teams to encourage them to gather market demands in tilt and savvy techniques. Here we’ll discuss the benefits of outsourcing saas product development. Before digging into the benefits let us see an overview of SaaS products and the need of outsourcing it.

What Is A SaaS Development?

SaaS is simply a cloud based software distribution. It makes use of a membership-based pricing model. This makes a good quality software significantly affordable for clients. Product depends on the cloud, allowing the instant access that doesn’t need any installation. This implies that updates happen naturally. It allows developers to keep control even after the item has been bought and delivered. Main issue is that the client isn’t buying a lifetime permit for the item. Considering all things, they buy a regularly renewing one through the flexible pricing subscription model.

Saas applications are cloud-based, so everyone can have access to them via any device with internet connection. It perfectly works for the companies, because your staff will also have personalized access to the software.

If you are new to SaaS product development term, know the difference between SaaS, PaaS and IaaS at- SaaS vs PaaS vs IaaS- Know the difference!

Need Of Outsourcing Software Development-

Outsourcing software development provides access to talent, saves time and brings down expenses. Also outsourcing can provide scale and decrease time to market. Many organizations have already turned to outsource including start-ups and mid-sized technology companies. Most of the software companies develop early versions of their product in-house and repeat and try till they discover product-market fit. After this, they start developing their client bases. But, as development stimulates, so does the strain to meet aggressive product roadmaps, add new features, and fix bugs and usability issues. The greatness of this work strains the internal software development team that they need to expand. Here we will see the benefits of outsourcing saas product development.

Know the important things before outsourcing web development project at-Things To Know Before Outsourcing Web Development Project.

Benefits Of Outsourcing SaaS Product Development-

1. Cost-Effectiveness-

Cost reduction is one of the major benefits of outsourcing saas development. Mostly it is important in case of Saas as it does not have the concept of quick profits, necessity of growing fast, high customer churn and huge competition. A new Saas project is generally pressed for money, particularly in the initial MVP stage. Outsourcing MPV development benefits industries to create minimum viable products without spending their budget. Obviously, easy to go ahead with an in-house team for a company having huge capital to invest and are ready to feed it for some years. Outsourcing becomes the best and safe option to avoid large investments.

Outsourcing SaaS products can help startups in many ways. Hiring proficient software developers on an hourly basis will lower the expense. In this manner by which the money is used carefully while getting quality work with high technical knowledge. Developers that stay with organizations for a long time might deliver quality work, but with regards to developers who get paid on an hourly basis, they need to deliver quality work because their reputations are at stake, ensuring talented and sophisticated work with ideal resources used. There are even organizations who go for their whole process of outsourcing saas product development to an experienced end-to-end delivery team. When you outsource a project, it is necessary to have a cost-effective plan of action that allows your outsourcing partner to add those special elements that translate a rough idea into a polished final product.

2. No HR Management And Expenses-

Employee recruitment is a complicated process, whether they are freelancers or in-house software developers. You have to spend a lot of time and money to select the right employees and their onboarding including training, office equipment, paid leaves, clinical protection, team building, taxes and search for substitutes. Agreement with an outsourcing agency will free you from this daily practice and expenses. This prompts another motivation to outsource saas development where organizations are already packed with developers and staff who have shown capabilities, strong foundations, and recommendations without having any HR to deal with the employment-related issues.

3. Scalability-

Web development companies face some issues regarding how to scale their scope in the market. SaaS application development benefits have ended up being extremely effective. They have assisted numerous organizations with growing their business scope much efficiently. Hiring a great SaaS developers team with required skills is a tough task, particularly when these skills apply to just one project. Since then, when the project is completed, these talented employees will have to be removed, or you will have to pay them salaries for future projects. So, the solution is very challenging. Those developers need payment on an hourly basis, this make sit more difficult for the company who needs to ensure the scalability also. Hence, the solution is far from optimal.

4. Find Affordable Talents By Outsourcing-

As mentioned above, recruitment of new employees is time consuming and expensive also. It is also difficult to search appropriate and qualified developers with required skills and knowledge to fulfill the frequently changing technologies. Outsourced team can handle various tasks like data management, security management and automation. If team members are extended excessively too thin for a really long time, it damages the organization’s efficiency levels and decreases morale. Working with a steady and reliable outsourcing partner allows organizations to fill key roles with the talents.

5. Enhance Experience And Efficiency In Development Process-

Outsourcing saas development offers access to numerous partners for recruiting new talent as it can be an expensive and slow process. Also it needs more time to develop a team with a wide network of experienced software developers. Opting an outsourcing team helps to gain access for specialists to imply and manage product data and product lifecycle. Also later on, if you choose a similar partner for your outsourced project, their experience and guidance can lead the process to a professional way.

6. Meet The Market Demand Faster-

Capability to scale rapidly is important for each commercial industry. If a software company grows only 20% per year, then there is 92% chance it will cease to exist in the future. If a software company grows 60% per year, its chances of surpassing 1 billion revenue are still just 50%. Thus, obviously, to redeem the market demands continuous updates are important for the SaaS organizations. Outsourcing software development allows companies to deploy new features for projects to compete with new trends in the market.

7. Focus On Innovation-

Outsourcing a team for SaaS-based app development can add more value to your organization or business. Regardless of improving flexibility, dedicated developers can help you to focus on innovation, and so improves company’s productivity. 

8. Effective Communication Within The Team-

Communication with a team plays an important role in software development and helps to build a strong foundation for a well established team. Outsourcing SaaS developers for mobile app development companies improves the team communication and coordination by setting up a functioning environment. When a team works together and communicates  effectively, all issues regarding the project can be easily resolved.

9. Risk Reduction-

Outsourcing SaaS development not just makes the tasks simpler yet in addition reduces the chances of risk. Mobile app development companies that outsource SaaS app services in the developing process will get better results than its competitors. This technology helped many companies to expand and meet user requirements without exceeding the budget in various fields.

10. Faster Project Completion-

Outsourcing SaaS product development can help you to avoid the unnecessary challenge of finding and recruiting the perfect employees for projects. According to latest estimates, normally it takes a month and half to enlist tech workers. Also, talented employees don’t need the organization onboarding and involved setting up that your in-house developer needs to get started.

Big Data Vs Data Science- What Is The Difference?

 

Data is everywhere. The amount of digital data that exists is rapidly increasing, doubling every two years, and changing the manner in which we live. Information is all over the place. Till the year 2020,about1,7 megabytes of new information will be generated every second for every human being. 

Here we will differentiate, big data and data science with various parameters. Before we start Big data vs Data science, let us see each one in detail.

What Is Big Data?

Big data is a humongous volume of data which cannot be effectively processed with the traditional apps that exist. The processing of Big Data starts with the raw data that isn’t aggregated and is generally difficult to store in the memory of a single computer. A popular expression that is utilized to describe massive volumes of data, both unstructured and structured, Big Data inundated a business on an everyday premise. Big Data is something that can be used to examine insights that can prompt better decisions and strategic business moves. By the definition- Big data is high-volume and high velocity or  high variety information asset that demand cost-effective, innovative forms of information processing that allow enhanced insights, decision making and process automation.

What Is Data Science?

Managing unstructured and structured data, Data Science is a field that involves all that is related to data cleansing, preparation, and analysis. Data science is a combination of programming, problem-solving, statistics, mathematics, the ability to look at things in a different way, getting data in ingenious ways, data cleaning, aligning and preparing. In simple words, it is an umbrella of techniques that use to extract insights and information from data.

Big Data Vs Data Science- What Is The Difference?

1. Perception-

Generally, big data is generated from multiple data sources and so it can be called a collective dataset. As the data set is made with data from multiple sources, each data type and data format is possible to add in big data. Big data can be Structured or unstructured or semi-structured datasets. Basically, a company or organization creates real time that insures the current status of an event and encourages them to work in a way to achieve the goal.

Data science includes multiple tools and techniques to analyse the dataset. Main goal of data science is to simplify the complexity of big data. Basically it is a concept made to reduce the difficulties in taking decisions for an organization. Considering big data vs data science, big data are unstructured and need to be simplified, whereas data science is a quick solution to it.

2. Platforms-

Big data is produced from each conceivable history that can be made in an event. The operation of producing data is started on platforms like DOMO, Hortonworks, Cloudera, Microsoft Machine Learning Server, Vertica, Kofax insight, AgileOne and so on. 

Data science works for the improvement of an organization through data analysis, process, preparation, and so on. Knowing the use and importance of data science, scientists started to work on it for the creation of detailed and accurate data science platform. After some attempts, many platforms are created and those are MATLAB, TIBCO statistica, Anaconda, H2O, R-Studio, Databricks Unified Analytics platforms and so on.

3. Tools-

Big data was introduced in 2005 and since then there has been developed many new and interesting tools that process data. These tools are Apache Spark, Apache Cassandra that work for SQL, graph processing, scalability etc. Hadoop by Apache can distributes huge amounts of data on different computers. 

Data science eases the decision making process for companies. Data scientists have developed the topic data science with different tools. Python programming, R programming, Tableau, Excel are some common examples with what data science can be explained. Statistical explanation and exponential development curves with the probability of an event can also be appeared with these tools.

4. Data Filtering-

Big data is expanding at a higher rate and never stops growing. But, it can assist with identifying the data which are important and which are less important. And it is called a data cleansing process. Dataset consists of huge data so it becomes so difficult to find out the detected data and analyze it by ownself. Although it is a harder process, big data helps in data cleaning through error data detection.

Data science is used to find the error and clean it. When data science is applied to big data, it helps to process, analyze and get the final result. From this, the summary of big data comes out and unwanted data remains  untouched. This remaining data will not be needed in future and it can be cleaned. In this way data science helps to keep internet clean by removing unnecessary data and finding out errors.

5. Relation With Cloud Computing-

The goal of big data is to serve as CEO and achieve business success whereas the goal of cloud computing is to serve as CIO in convenient and accurate IT solutions. When big data and cloud computing work together, business and IT-related success come rapidly and the efficiency becomes more rapid and smooth.  Big data can be stored on a cloud because cloud computing provides more storage and big data needs storage to get stored too.

When you work with data science, to find out accurate results, there is a need to apply algorithms. Clouds are advantageous with high computational needs and data storage. Data science requires more storage to store the analyzed data. Cloud computing is an easy solution for this.

Know more at- https://solaceinfotech.com/blog/big-data-vs-data-science-what-is-the-difference/

Top 7 Python GUI Frameworks In 2020

 

Python is a widely used programming language and has a community of nearly 4.3 million. It has a wide range of applications from Web development to desktop Graphical User Interfaces(GUI). Python GUI Framework helps us to learn more about Python programming. You can create the best Python GUI in Python programming. Here we’ve listed the best Python GUI framework/toolkit that you can use. Before we proceed for the details of each framework, let us see what is Graphical User Interface. 

What Is A Graphical User Interface (GUI)?

It is an interface through which users can communicate with electronic devices like computers, mobiles and other devices. This interface uses symbols, icons, menus and other graphics to display data. Related users control the text based interface, where commands and data are in text form. Graphical user interface representations are managed and manipulated by pointing devices like mouse and touchscreen. The need for the GUI framework is very genuine because in the first computer the text interface is created by the keyboard. To initiate responses from a computer needs, the command fired by the keyboard needs exact spelling and this creates difficulties and inappropriate interface. Python is there to help you to solve this issue. For developers, it has different options for GUI frameworks. Let us see Python GUI frameworks.

Python GUI Frameworks-

1. Kivy-

It is an open-source Python library for rapid app development and it uses innovative user interfaces like multi-touch applications. Kivy GUI library for Python is created around the main loop that makes it compatible for game development. This framework is stable with Kivy’s graphics engine and uses modern & fast graphics pipelines. Kivy framework is a cross-platform and runs on Windows, Linux, Android, iOS and Raspberry Pi, OS X. 

Kivy Installation: In windows

• Before you install Kivy, update the Kivy pip and wheel.

python -m pip install -upgrade pip wheel setuptools

• Install dependencies

python -m pip install docutils pygments pypiwin32kivy.deps.sdl2 kivy.deps.glew
python -m pip install kivy.deps.gstreamer
python -m pip install kivy.deps.angle

• Now, install Kivy

python -m pip install kivy

2. PySide GUI-

It is a python binding for the QT side. It is a Python extension or API for QT and is probably industry standards for user interface development for cross-platform. One of the great advantages is- you can run your graphical user interface using PySide in Linux, Mac and Windows without changing your source code much. PyQT and PySide are relatively the same, just a difference is the way they are open source and licensed.

PySide is comparatively indulgent than the other Python GUI builder. So, if you try to program that you want to use professionally then go with Pyside. When you go with PySide, select a Python version 2.7 or 2.8. 

Let us see PySide installation on Mac-

• First, install or create QT 4.8 or use the following code-

$ brew install qt

Now, install the wheel by pip. Use the following code.

$ pip install -U PySide

Install PySide: In windows-

First install the pip(python package manager). For this you can use the following code-

pip install -U PySide

Use the following code to install PySide in your system.

Easy_install -U PySide

3. Libavg-

Libavg is an open-source high-level development platform for media centric apps. It uses Python as a scripting language, written in High-speed C++ and uses modern OpenGL for display output. This framework is better for developing modern touch UIs and supports most of the touch driver models, including Windows touch, Linux, TUIO and XInput. Also it has a lot of features like, it supports a large number of display elements that generally advanced modern graphics-intensive applications requires, layout engine supports lots of display elements on screen at a time and also a hardware-accelerated video output and so on.

Libavg GUI Installation: In Windows

• First of all, download the Python 2.7 version and then  download Visual C++ runtimes.
• Secondly,  download CMU 1394 Digital Camera Driver and Libavg installer.

Use following command to access average utilities-

C:\Python27\scripts

Now execute the test using following command-

C:\>cd \Python27\lib\site-packages\lib\site-packages\libavg\test
C:\..\>c:\Python27\python Test.py

Now you can run the test.

Ran 273 tests in 11.231s
OK

4. WxPython-

Know more at- https://solaceinfotech.com/blog/top-7-python-gui-frameworks-in-2020/

What’s New In .Net 5?

 

There are many changes in the software development fundamentals in the last few years. The developers need to work cross-platform and open source development strategies with faster speed and also they want to integrate the old applications with the new technologies easily. The .NET framework came with a new version ASP.NET 5 to fulfill the requirements.

As compared to previous versions, it includes many new features like support of cloud based, cross platform and open source application development, modularity, faster development cycle and  freedom to choose the programming tools. ASP.NET has compact components with negligible overhead and due to this, developers can feel flexibility while constructing their applications. Let us see the new features of .Net 5 in detail.

New Features Of .Net 5-

1. Combination Of MVC, Web API, And Web Pages In Single Programming Model-

With the new version ASP.NET, MVC, Web API and Web pages are packed into a one framework called MVC 6. This approach removes duplication from the framework and makes it simpler for developers to build applications. So, there is no need to write different code whether you are in MVC, Web API or Web pages context.

2. Flexible And Cross-Platform Runtime-

ASP.NET 5 has three different K-runtime environments. Full .NET CLR, Core CLRR (for Windows) and cross-platform CLR (for Mac and Linux). You can choose any of three as per your requirements.

• Full .NET CLR- It is a default runtime. If you want the previous application to be compatible with ASP.NET 5, it is a better choice as it provides a complete API set.
• Core CLR (Cloud-Optimized CLR)- It is a modular runtime. This CLR allows you to choose and include just the features we need in our application. These features are being included as NuGet packages. This way our application depends just on the necessary features. The Core CLR is around 11 megabytes in comparison with the full .NET CLR which is 200 megabytes. Every component is separately updated hence rapidly as it has its own schedule. Different versions of Core CLR can be run next side-by-side and can be deployed with your application.
• Cross-Platform CLR- The cross-platform CLR allows you to develop and run apps on devices running on Mac and Linux operating systems. Mono community can be used for cross-platform development. A web worker called kestrel will be used for Mac and Linux that is built on libuv in ASP.NET 5.

3. Open-Source-

.NET will be open source and using its principal it will allow us to run applications on different operating systems. The source code for ASP.NET 5 is hosted on GitHub, within the .NET foundation org.

4. Ability To Self-host Or Host On IIS-

ASP.NET 5 gives the adaptability to host your application on IIS or self-host it in your own process. When you build the application focusing on the Core CLR, you can deploy it with each dependency bundled within the deployment package. Thus, your application and its dependencies are completely self-contained and independent of system installation of .NET. This new ability gives you the opportunity to host your application on any device or hosting platform. You just need to deploy your project to that host.

5. Modularity-

It is one of the major features of ASP.NET 5. With the previous versions of .NET; to run our application the whole .NET Framework was required to install. It needs more storage on disk. It can cause more problems when we need to run applications in different .NET versions than the one in which they were developed. It depends on features organized as packages. So, all the dependencies are built as Nuget packages that are deployed together with the application. To optimize resources for the cloud it is partitioned into two sections: one for on premise solutions and the other for cloud application. The cloud improved system contains just the assets that are required from the sending of an application on cloud nothing else. Cloud optimized framework contains just the resources which are required from the deployment of applications on cloud nothing else. 

In the web application the web.config file is being replaced by project.json in which we can choose which package and its version we need to include in our application. This json file is used in all kinds of projects.

6. See The Changes In Browser Without Re-building The Project-

VS 15 gives a lightweight developer experience to ASP.NET applications. You just need to do changes in your code, save them and refresh the browser. You can see code changes in the web browser without re-building the project.

7. Language Updates-

Know more at- https://solaceinfotech.com/blog/whats-new-in-net-5/

7 Steps To Choose Best CMS For Your Website

 

Having a business without a website is just the same as you don’t exist and this is a reality for a long while now. However if you have a small to medium-sized company, the chances are you probably do not have resources for an IT department to work on your website throughout the entire year. In such cases, you should employ a website development company to design and develop a website for you. When you hire one, they would likely ask you to choose a custom website and a Content Management System (CMS). CMS offers a lot of benefits and the biggest one is no need to worry about how to code. There are too many different CMS in the market. So how to choose the best one? Don’t worry, we’ve come with a list of things to consider while selecting the best CMS for your website. Before digging into it, have a look at, why use CMS?

Why Use CMS?

1. User-friendly Content Composition- 

Content management systems offers simple and easy to use content composition and media upload tools with simple formatting controls to build attractive layouts. Most provide the ability to preview work and save drafts.

2. Accessible Content Management- 

If you use CMS, you don’t need a knowledge of HTML to edit a website. As there is a provision of editing tools, there is very little to learn. Some CMSs include complex layout editors that give WYSIWYG composition, or let you edit page content in a live view.

3. Rapid And Fast Edits-

A CMS allows you to access the contents of a database over the web. Generally, you’ll use a form, although some CMS software allows you to directly edit the page contents in live preview.

4. Safe Interaction With Database-

The CMS helps with checking accidental edits by controlling the manner in which you save and create your content. This can help to stop you from messing up the database, as you don’t interact directly with it. Some CMSs don’t use databases but this is rare.

5. Automation-

The CMS can automate some aspects of content delivery, like the production of a RSS feed from content that you create. It can also schedule posts for a future date, so you can stack up content in advance instead of publishing it immediately, and feed into your social media accounts, ecommerce store and so on.

6. Flexibility- 

Numerous CMSs have well-established user communities that extend their reach and usefulness using extensions or plugins. As the design and layout is separate, it is easy to “reskin” the site by plugging in a new theme without disturbing the content. Some CMSs have built-in forum and email marketing tools.

How To Choose A CMS For Your Website?

There are hundreds of content management systems like Magento, Drupal, Joomla, WordPress, Wix and so on. Before selecting any CMS, you should ask yourself a few questions like- your budget, security options, support and exactly what you need in a website etc. Complexity is another issue, if you run a shop with thousands of products, you should go for a proven ecommerce platform like WooCommerce or Magento. Whereas, if you are a startup or a small company that offers one or two services, you can just start with one page website. Here we’ll discuss some of the important points that should be considered before you select the best one for your website.

1. Ease Of Use-

For a non-technical person, ease of use is the most important thing to think about CMS. If you want to manually upload content, you will have to do it by yourself, whether you want it or not. There are some things that you need to learn and if the platform is easier to use, it is better for your staff members to access. These days, most of the web platforms are easy to use or navigate, so it is easy to add new pages, images and other content onto your website or blog. WordPress is a popular CMS for web development.  

2. Core Functionality-

One of the most common misconceptions is- all the CMS platforms perform the same functionality like create, edit and organize pages and content. Although it is true at basic level, there is a range of functionality that only few systems can support, for example, eCommerce, event ticketing, multilingual support, multiple website support, and so on. In spite of the popular belief, unused functionality isn’t excess power, its excess weight slows down and makes your system unnecessarily cumbersome. Making a conclusive list of what you need and what you don’t require from your CMS and making provisions for future requirements will help you to make the right decision.

3. Initial Set-up & Deployment-

Although open source CMSs might be available free of licensing costs that saves your money, the framework still needs to be installed and configured to your needs and basically run somewhere. Generally optimizing and configuring CMSs for production use is a complex task. If you have the hosting facility as well as the necessary technical skills, then you can do this without anyone’s help. If not, the most secure option in many cases is using a dedicated vendor to deal with this.

4. Security-

When we hear about selling valuable personal information, online security has become important. So it is important to have a hacker-proof CMS that can resist other types of cybercriminal and for this you have to do detailed research. Today, most of the modern content management are en route to improving their online security. As we have already mentioned, wordpress is the most widely used CMS that has done a lot of improvements over the years. Magento is the best platform for ecommerce according to the SEO point of view.

5. Blogging-

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