Month: July 2018

Why you should develop your Mobile App with Xamarin

Posted on by stridely

The World of Mobile Application is changing rapidly. Industries are adapting more towards Mobile Technology, in this fast-growing technology environment, developing mobile apps to keep up with the growing demands can only be achieved with the right set of tools and a right approach.

To my quest for right tools and approach, I came across Xamarin that is such a development platform that can help get that speed-edge when it comes to developing, testing and release mobile applications quickly across iOS, Android and Windows. Here are a few ways to accelerate the mobile app development using Xamarin.

Consider Cross-platform Mobile Apps

Native mobile apps are objectively better than other approaches but now they had come with heavy development overheads for multi-platform development. Xamarin is designed from the ground to share code across platforms for native apps. The best thing is, as 75% of source code can be shared across iOS, Android and Windows, enabling faster time-to-market across various cross-platform apps.

Adopt an agile development approach

Agile development is a popular and effective approach to mobile development. The principles of Agile development relate to efficiency, built-in quality, deferred-commitment, rapid delivery and optimization, which are a part of Xamarin’s feature list.

In-built UI frames and controls

Rather than directly going for developing mobile apps for iOS, Android and Windows independently, Industries can leverage Xamarin to deploy these apps at the same time. The main advantage is that Xamarin forms to share up to 100% code across iOS, Android & Windows and improve time-to-market. Xamarin offers various in-built UI frames and pages with over 40 cross-platform layouts and controls to be used, thus this reduces the development time. These ready-to-use layouts & controls include gesture support, lists, labels, buttons and some other common controls. Xamarin developers use these specific controls to share the backend C# code across platforms in order to quickly build fully native mobile apps.

Adopt incomparable Testing Features with Xamarin TestCloud

As from so many platforms and a steady increase in the number of mobile users, testing cloud-based mobile apps for consistency can be a real headache. Xamarin TestCloud, readily available for Xamarin users, facilitates to rapidly and easily test apps while allowing to interact with multiple mobile devices at the same time. Hence, reducing the time & cost efforts in testing the apps in turn reducing the time-to-market.

Microsoft acquires Xamarin

As Xamarin has been acquired by Microsoft. Azure and Visual studio together to deploy game-changing mobile solutions rapidly at a single go. Xamarin plus Azure-as-a-backend system offers greater security & stability for industrial grade apps, thus becoming a more sophisticated development platform.

Therefore, choosing Xamarin as a cross-platform or native development tool is one of the lowest-risk decisions that any industries can take. Mobile apps for iOS, Windows and Android are prevalent in each and every industrial sector like, manufacturing, food, logistics, media, automotive, entertainment and more.

So are you looking for Mobile App to be developed for your business, then we’ll love to discuss more regarding same. Checkout our services.

Microsoft Azure IoT Hub vs Amazon IoT

Posted on by stridely

IoT is ruling the technology hype cycle aiming to help business entities achieve connected enterprises. IoT is combined with Analytical solutions are helping enterprises solve critical business challenges such as Real-time analytics, sensors integration, maximum asset utilization, real-time supply chain visibility and many more. Among the many available IoT service providers, Amazon AWS IoT and Microsoft Azure IoT Hub are the top providers.

Both offer quality services to help enterprises in achieving their business goals. However, there are certain points which makes them different from each other. I would like to show you some important points to consider before choosing between them.

The IoT Hub

One of the strongest tools in the Azure is the IoT Hub. Azure IoT Hub provides simple, secure and bidirectional communication between IoT assets and the cloud. Now the question comes is, are IoT Hub from Microsoft a better reliable choice than the Amazon one? Mainly it’s the broad support for interfacing with other programs that are directly into the system. This cuts down significantly on the amount of custom programming that’s necessary, which means faster and more cost-effective development.

SDK and Language Support

Amazon IoT doesn’t have broader support for SDKs and languages than the Azure IoT. AWS IoT supports C and NodeJS while Azure IoT also provides. Net, UWP (Universal Windows Platform) and Java support. This means that it is more likely that the current programmers will be ready to create new codes to use in the IoT project.

Service Fabric for Low Latency

Azure Service Fabric is a groundbreaking approach to micro service-based applications. In other words, these are exactly the types of applications that are suited for IoT implementations. As it eliminates a lot of coding things and maintains the development process. It also ensures the lowest latency performance as compared to Amazon.

AMQP Support

The Advanced Messaging Queuing Protocol is an open successor and the ultimate replacement for proprietary messaging middleware. It is one of the most reliable and interoperable choices when it comes to messaging protocols, this a key feature in any IoT solution development. If we need to make use of AMQP then Azure IoT is the most preferable choice, as the AWS offering only supports HTTP and MQTT, as both are part of Azure.

Security

One of the greatest risk factors for enterprises is to secure the data. Hence, Azure has consistently been at the forefront of cybersecurity as compared to AWS. Big Data means maintaining big privacy concerns and with such massive streams of data passing through the system. Azure has a range of built-in safeguards and clear developer guidelines in the form of a Security Development Lifecycle to ensure that IoT apps keep the interest of all stakeholders safe.

As both Azure and AWS offers similar IoT technology components, Microsoft has been innovating at an incredible pace to top the competition. As there are many enterprises running CRMs and ERPs on Microsoft Dynamics AX platform, making Azure IoT the favored choice. Microsoft offers Azure IoT Suite that combines several services such as IoT Hub, Machine Learning, Stream Analytics, Notifications Hubs and Power BI to build powerful IoT solutions. These are the reasons that make Azure IoT stands-out as the most preferred solution of choice for both customers and enterprises.

So what are you looking for, anything in mind related to IoT Implementation we are here to help you with that.

Business Era: IoT, Bigdata and Machine Learning

Posted on by stridely

When we talk about IoT, Bigdata or Machine learning the three different things being indifferent. These three are playing the most exciting role in Business Technology since past few years. They are like the graphical depiction that is arising with every new technology and people often had been flustered or overlapped their uses for different purposes.

These three processes or system are bringing drastic changes in our business too, let me make a clear point about their difference and what role they play in our business technology.

What is IoT(Internet of Things)?

IoT is the interconnection between two devices. It allows devices to work as per need for human input.

To frame it properly in the picture of understanding, IoT allows your refrigerator to interact with a can of coke inside it. Without any kind of intervention from a human, the refrigerator will be able to see when the expiration date of the coke is, then once it is past that date, it will automatically inform to the user and order a new coke.

What is Big Data?

Big data is a term that describes the large volume of data both structured and unstructured. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

It also means the organization can collect data on almost everything in huge quantities. Big data is the act of collecting and storing this data.

What is Machine Learning?

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Now how they are connected!

As for now, IoT is small which is going to be very huge in comparison with today as it is vastly growing. Big data is already a collection of huge data which is been analyzed and stored, whereas Machine learning is similar to IoT that is growing rapidly.

Devices that will be connected to the Internet of Things is going to create a huge amount of data which would be needed to store and analyze and this is where Big data is going to play its role after that Machine learning can use this large amount of data improve the process and efficiency of systems. These things are again been processed back to devices connected with IoT and the process starts again.

Each part has its own unique qualities and importance, this how these three things are been so interconnected to each other that they are gonna be the next business era. We can them same thing at a time and not as well in the other because a time they are required together but at some time not as depends on the specific purpose.