10 Best Cloud Service Providers In 2020

Cloud computing Services are vendors which provide Information Technology (IT) as a service over the Internet. Cloud computing is a term which is used for storing and accessing data over the internet. It doesn’t store any information on the hard disk of your PC. Cloud computing helps you to access your data from a remote server.

Cloud computing services go from full applications and development platforms to servers, storage, and virtual desktops. There are various kinds of cloud computing services available in the market.

With the development of cloud computing, the distinctions of IT infrastructures have become more agile and convenient, where mission critical essentials, for example, the human resources, equipment, data, external contacts, policies, and methods, work seamlessly for the general efficiency of the business process. Let’s see Top 10 Best Cloud Computing Service Providers in 2020.

Also know- How to select the best cloud computing service provider?

Top 10 Best Cloud Computing Service Providers in 2020-

1. Amazon web services-

AWS is as of now the leading cloud service provider and way ahead of its competition. Amazon Inc. was the first and early player to catch the opportunity with AWS and has capitalized on big and small enterprises trying to transfer operations from data centers to the cloud. AWS has always had the advantage of the large head start in the cloud computing market.

AWS has very nearly seven years of a head start, which appears to impossible in this rapidly changing technology era. Well over 10 years ago and long before the competition in the cloud world got off the ground, AWS had started offering cloud infrastructure solutions like storage and compute. AWS is Amazon’s cloud web hosting platform that offers the rapid, flexible, reliable, and cost-effective solutions. It offers the service as the building block that can be used to create and deploy the application in the cloud. It is the most widespread as it was the first to enter the cloud computing space.

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How to select the best cloud computing service provider?

Cloud computing services replaced the hardware technology as Mobile phones replaced the alarm clock. They are organizations that provide Information technology (IT) services over the internet. In a small amount of time, this technology took control over the market as businesses favored remote access to data. These cloud technologies enable multi-user systems and remote operation. 

They can be a greener technology that avoids unnecessary hardware for storage. Many service providers are available who provide cloud technology as a service. Let us find the most appropriate cloud solution provider for your business. First of all study the types of cloud computing service provider.

Types of Cloud Computing Service Provider-

There are three types of cloud models or service capability and they are: SaaS, IaaS, PaaS. Let us see one by one.

Also know- SaaS vs PaaS vs IaaS- Know the difference!

1. SaaS-

Software as a Service, also known as cloud application services. It represents the most commonly used option for businesses in the cloud market. SaaS uses the internet to deliver applications, which are managed by a third-party vendor, to its users. Most of the SaaS applications run directly through your web browser. This means they do not require any downloads or installations on the client side. 

2. IaaS-

Cloud infrastructure services also known as Infrastructure as a Service (IaaS). These are made of highly scalable and automated compute resources. IaaS is completely self-administration for accessing and also monitoring computers, networking, storage, and other services. It enables organizations to purchase resources on-demand and as-needed instead of having to buy hardware outright.

3.PaaS-

Cloud platform services, also known as Platform as a Service (PaaS). It provides cloud components to certain software while being used mainly for applications. PaaS delivers a framework for developers that is used to build and create customized applications. All servers, storage, and networking are managed by the enterprise or a third-party provider while the developers can maintain management of the applications.

Different Cloud Computing Service Providers-

1. Amazon Web Service (AWS) – 

The Amazon cloud system is the fastest and trusted by numerous businesses. They are popular for their security system. Scalability and flexibility are the significant advantages of the Amazon cloud. It provides a foundational element service that can be used for creating and also deploying any cloud software. It is the first cloud to reach the Computer room. AWS is the most widely recognized cloud solution.

2. Microsoft Azure-

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Top 10 mobile app UI/UX design trends in 2020

The UI design is the first impression of any mobile app. Today, 94% of first impressions are design related. Indeed, even a great content is rendered powerless if integrated into a poor design. UI connects users with a brand, makes client journey smooth in the application, and builds the whole ROI of the application. When an application’s UI design is client- centric and has creative engaging content, nothing can stop its success.

However, the field of UX is continuously transforming – new things are getting developed time by time. Also, UI design is the most changing area in the mobile industry, which impacts numerous different areas of the industry. The UI design of an application isn’t constrained to its looks. The application’s data architecture should effectively combine with UI design guidelines that organize, structure and label an application’s content sustainably and accessibly.

Also know- 8 Steps You Should Take to Enhance Mobile App Security.

Mobile app UI/UX design trends for 2020-

2019 is now over and we are looking for the most recent UI/UX design trends for both iOS and Android applications. Let us see the list of top mobile app UI/UX trends that will be more effective in 2020, reduce the bounce rate, and increase conversion rate.

1. Improved Personalization-

This year, mobile application development will potentially acquire more momentum. A customized UX is becoming necessary in mobile development. Machine learning and Artificial Intelligence are making this customization seamless. Use streaming services like YouTube or SoundCloud where AI assesses user choices for offering song suggestions. In addition, fitness and bucket list applications also offer improved personalization to all users.

2. Rounded Corners-

This is a trend that developed from modern smartphone devices. Both Android and iOS flagships feature rounded corners. Since a device’s curved corners are reflected in its UI design, all applications and mobile sites get a similar rounded appearance and feel. It positively impacts on UX. Rounded corners are smoother on our eyes and help process data easily.

3. Convenient voice experiences-

There are almost 100 million smartphone users who will be using Voice Assistants in 2020. The development of voice technology has offered rise to almost 50% of voice searches by 2020. Brands are incorporating voice search technology as more and mobile applications are starting to incorporate vocal User Interfaces (VUI). The companies are attempting to integrate VUI in some capacity to meet the changing expectations for smartphone users.

There are numerous drawbacks in the way of Voice Search Experiences. Accessibility issues are one of them as current voice technologies have shown challenges in precisely recognizing instruction where heavy accents or background noise is available. Secondly, a VUI allows actions to be executed based on spoken commands. Changing interfaces requires mobile app designers to abandon old techniques and mindsets for designing a mobile application experience. While VUIs won’t completely take over mobile experiences, through the technology has been showing huge potential for allowing further development in consumer AI technologies.

4. Password less logins-

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Top android app development trends you should know in 2020

Today, we live in a world where each new year brings new innovations, ideas, and trends that imply changes. Also, since Android adoption has developed so radically in the past recent years, it’s important to stay aware of the most recent trends to knock out competitors in the race of acquiring market share. Before we go in detail with it, it is also important to understand the significance of trends. Let us see some cool android app development trends in 2020.

Also know- How to reduce Android App size during development?

5 Android App Development Trends to Follow in 2020-

1. Android instant apps-

Android Instant Apps allows users to try an application or game before having to install it on their devices. As you can see, Android Instant applications make it possible to completely skip the installation process and also to remove the messiness of installing unnecessary applications on Android devices. Simply, Android Instant Apps are easy to use mobile websites that are operated directly from the cloud. While 2019 observed a huge rise of Android Instant Apps, next year it will keep going further with more developments.

2. Android Jetpack-

Android Jetpack is Google’s most recent Android application development suite of tools, libraries, and guidance that will help developers with building higher quality Android applications. The Jetpack suite was designed to help developers with significant issues like backward compatibility, application management, and so on. Google has smartly structured all these things in a suite with four simple categories: UI, architecture, behavior, and foundation. The Jetpack’s components, are unbundled libraries that are not part of the Android platform, which means you can easily adapt any component depending on your requirements.

3. Kotlin-

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Emerging iot trends that will rule 2020

The year 2020 will be important for the world of technology, and businesses around the world have already prepared for it. In numerous perspectives, 2020 will be the breakthrough year for the Internet of Things as the use of connected devices in both offices and homes will increase. As per Statistica, there will be more than 3 billion IoT devices in the year 2020. In such a scenario, it is clear that a leading IoT service providing company will play a massive role in helping the organization to stay afloat in the ever-changing new age business scenario.

Internet of Things products will be one of the important sources of revenue for the businesses as they will provide $300 billion to the organizations. Hence, it becomes necessary for the organizations to understand the IoT trends that are going to rule in the upcoming year and select the ideal IoT application development company to get effective results.​

Also know- Top 7 IoT Cloud Platforms.

Best IoT Trends for 2020-

1. Edge Computing-

Edge computing a cost-effective and quick choice for cloud computing, and also it is all set to take center stage from cloud computing. Cloud computing and IoT are interesting for quite a while. Edge computing is continually rising and this change will bring a change in the Internet of Things services. With time, the IoT service providers have understood the process of  computing and analyzing data to a particular limit.

In simple words, the information is stored at a local device instead of storing it at the cloud. Edge computing will help the organization with managing a lot of data and also reduce the dependency on cloud. It will allow the tools to perform accurately and faster. If the data is collected locally, the Internet of Things devices tend to acquire less bandwidth and also work even with less connectivity. Also, Edge computing is a secure technique as data security would be the most important thing going into the year 2020.

How to choose the right IoT Platform for your business?

2. Conversion to smart cities –

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PHP vs Python: Which one to choose in 2020?

With the continuous insistence on web and mobile application development, 2019 has been about customer-centric and responsive applications. Therefore, organizations aim to choose a coding language that is an ideal fit for making scalable websites. PHP vs Python is a significant comparison that companies looking for website solutions have to make. Similarly, in 2020, it is also expected that web and mobile applications will continue to dominate the market. Accordingly, two coding languages are giving each other a run for their money. The PHP vs Python fight has become a fascinating one with developers from both sides having solid points to support their language against the other. With regards to Custom Web Development Services, the two most well known choices remain PHP and Python. Let us compare PHP and Python with respect to the following points.

Also know- Best web development trends and technologies for 2020.

PHP vs Python – Factors to Consider for Web Development Language selection

PHP vs Python

1. Ease of Installation-

PHP can install properly on Windows, macOS X, and Linux platforms and can be found on many shared hosting sites typically for a negligible cost. On the other hand, Python has some installation challenges. If you have macOS X installed on your machine, at that point existing Python version already exists on your computer that is outdated and is unsatisfactory for coding. Installing new packages would not help update Python. In fact, you should install new version on your system. On Windows, it is a more terrible as you probably will have to use a Windows package manager like Chocolatey to get started. Linux is better in this case because it has no issues about installing Python. Thus, PHP certainly edges Python on this aspect.

2. Learning Curve-

With regards to PHP, you will discover many new developers offering PHP development services even on different freelancing websites. Python also has a lot of new developers learning the language. In any case, PHP gets slightly supported over Python due to learning ease, because it is supported by a huge developer community. It also has large documentation that is accessible on the web and can be accessed freely or at a less cost.

3. Simple Syntax-

It is the reason to go for a language that has a simple syntax. This statement is true for beginner level developers who need to quickly start syntax error-free programming. Therefore, Python provides ease where users can code without worrying about parenthesis and other syntax related “restrictions” that always fail the code during the build.

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Artificial Intelligence vs Machine Learning vs Data Science: The difference

Modern technologies like artificial intelligence, machine learning, data science have become popular but no one completely understands it. They appear to be extremely complicated to a layman. All these popular terms sound like a business executive or a student from a non-technical background. People often get confused by words like AI, ML and data science. In this blog, we clarify these technologies in basic words so you can easily distinguish them and how they are being used in business. Let us discuss Artificial Intelligence vs Machine Learning vs Data Science.

What’s Artificial Intelligence?

Artificial Intelligence

The main purpose for artificial intelligence is to impart human intelligence to machines. Artificial intelligence can relate to anything – from applications for playing chess to speech recognition systems. Just like the Amazon Alexa voice assistant, which recognizes speech and answers questions. Artificial intelligence focuses on making smart devices that think and act like people. These devices are trained to solve issues and learn in a superior manner than humans do.

AI application examples include:

• Game-playing algorithms (like Deep Blue)
• Robotics and control theory (motion planning, walking a robot)
• Optimization (like Google Maps creating a route)
• Natural language processing
• Reinforcement learning

Best example of AI implementation is self-driving cars and robots. What’s more, here’s the manner by which Amazon utilizes brilliant robots. Amazon Prime used to be fueled by individuals whose occupations rotated around getting items from distribution centers to clients’ doorsteps. Artificial intelligence specialists work with AI frameworks like Pytorch and Torch, TensorFlow, Caffe, Chainer, and lots of others.

What is Machine Learning?

Machine Learning

Machine learning is one of the areas of artificial intelligence. It’s the science of getting computers to learn and also act like people do and improve their learning after some time in an autonomous fashion. Rather than writing code, you feed information to the generic algorithm, and it builds its logic based on that information. Basically, in ML, computers learn to program themselves. ML makes programming more scalable and helps us to deliver better results in a shorter time. 

How companies use machine learning? 

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Best iOS app development trends in 2020

Just like smartphones various technologies have become a need in our lives. You can’t ignore that mobile application development has given increased revenue too. According to the report, you can expect $581 billion in revenue from mobile applications by 2020. 

Hence, mobile application development trends started developing. Both application developers and users are responsible for this revolution. Regardless, these trends have improved our lives in various manners. Surely, it can be said that all that happened in 2019, will remodel the mobile application development industry in the upcoming year. With the rise of mobile apps, businesses are getting new opportunities with a strong user base. Since mobile has the power to boost the visibility of a brand, each entrepreneur is attempting to reap its advantages. let us discover which mobile application development trends will rule the year 2020!

Also know- 7 Important considerations when building a mobile app.

Best iOS app development trends in 2020

Best iOS app development trends in 2020

1. Machine Learning and Artificial Intelligence-

Despite the industry, numerous organizations try to apply ML and AI technologies to their iOS applications. Obviously, Artificial Intelligence isn’t new but it brings a lot of positive changes. For instance, Facebook shows significant content, based on the users’ preferences. Artificial intelligence analyzes customers’ behavior and interactions (likes, comments, and so on) and offer similar content. According to the latest research by International Data Corporation, the AI technology will get the more than $47 billion in revenue by 2020. Let us see some use cases of Artificial Intelligence.

Also know- Top 5 tips for effective iOS app development process.

Searching suggestions-

This technology improves the searching process. AI allows integrating the search recommendations along with spelling corrections. Spotify recommends new artists and albums that customers may like. Also, the service can analyze the users’ activity and create the playlist with their preferred genres, bands, etc.

Siri-

Siri becomes smarter. Artificial Intelligence and Machine Learning make Siri’s answers accurate and also trustworthy. In 2020, Siri is expected to analyze what’s going on with the user (for example, location) and make suitable and exact suggestions based on the collected data.

Deep Learning-

Deep Learning is used to analyze the customers’ behavior and predict their demands. Subsequently, organizations can reduce expenses because of more exact predictions. Netflix makes use of AI to improve recommendations to application users. That is how the platform engage visitors.

Some future AI trends are the following:

• AI-enabled face unlock
• AIOps for automating IT functions
• Smart camera with subject identification
• Adaptive battery for more battery lifespan
• High app reliability for cyber security
• Language and voice translations

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Tips and tricks to boost mobile app ranking in Google Play Store

One of the most important tasks for the application developers today is to optimize the mobile application ranking in the application store. This becomes more trickier for Android App Developer, because the number of mobile applications on Google Play Store are increasing at a high rate. Near about 2.47 million apps are available to download.

When the customer engagement is essential to keep your application on the top, you need an intense technique to deal with your competitors. However, the users can uninstall your application immediately if it will not meet the user’s expectations. And this would be a significant difficulty to boost your application ranking. Hence look forward to improve your mobile application ranking in the Google Play Store.

How Does Google Play Store Rank the Apps?

You must have heard about website positioning on the different search engines; similarly, the applications are positioned in the Google Play Store. The Google Play Store makes use of various algorithms and some determining factors to rank the application. These may include the total downloads by users, the application ratings and reviews, the application retention time on the Smartphones, how rapidly is it getting uninstalled after the download and whether or not it is associated with social media links.

Tips and tricks to Boost Mobile App Ranking in Google Play Store-

Tips and tricks to boost mobile app ranking in play store

1. App store optimization-

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Python for development- Should you choose it or not?

Python is a popular programming language among developer’s community. This is because languages like PHP, C++, or Java are more challenging to  learn. This programming language is easy to learn and a great choice for beginners, yet it doesn’t imply that python development doesn’t have defects. Some may even believe it to be an old-fashioned for modern programming needs. To choose whether you should go for Python development, you should both advantages and disadvantages. Let us see each of them.

Also know- Python vs Go : Which one to choose?

Why Go for Python Development?

1. Versatile, easy to use-

This language focuses on code readability. The language is flexible, neat, easy to use and learn, readable, and well-structured. The learning curve of Python is very mild and the language is feature rich. It is a dynamically typed language, which makes it friendly and faster to develop with, providing REPL as well as notebook like environments, for example, Jupyter. Because of flexibility of python, it is easy to conduct prior data analysis. Python allows you to take the best of various paradigms of programming. It’s object oriented, but also effectively adopts functional programming features.

2. Less code-

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