Currently, the evolution of mobile apps has taken a turn and started following new ethics and strategies. Grabbing ideas from the environment helps with the creation of the product with uniqueness. Machine learning is a unique concept that assists mobile app developers in improving their app designs. It helps to access and handle data. 

As per the research, the machine learning market is expected to grow by USD 11.16 billion during 2020-2024. ML is geared to computer programs. It is a highly trending system that mobile app development companies are following while creating or improving any app. Machine learning introduces the industry with entirely new and revamped mobile application development circumstances. 

What Are The Prime Reasons To Build A Machine Learning Application?

Here are the benefits that one can expect from implementing machine learning – ● Machine Learning helps banks to increase their sales● Machine learning technology predicts better user behavior and optimizes the app processes● The enterprises refine marketing issues by using machine learning. 

How Does Mobile App Developer Use Machine Learning To Generate Innovative Mobile Applications?

Machine learning reduces the gap between understanding the user’s requirements and creating a personalized solution. Thus, a machine learning system is embedded in the applications by the app developers to create a customized solution for the apps. Machine learning customizes the app features and solutions as per the user’s everyday activities. These advancements help in creating an app that assists the users in achieving an ideal overall experience. 

● Machine Learning Is Best For Predictive Analysis

It is an excellent technology that helps applications process massive data and derive quantitative predictions easily customized based on the user’s requirements. 

● Machine Learning Is Used For Filtering Out The Junk 

The mobile app developers train machine learning modules for filtering out spam or insecure emails or sites. It is the best technology for leading to a proactive security measure. 

● ML For Character Recognition 

Predictive analysis, along with character recognition, creates mobile applications to read and understand the language. It is a milestone that is achieved by Machine learning applications.

How Mobile App Development Is Benefitted From Machine Learning?

Machine learning in app development represents the complete solution of Artificial Intelligence Mechanism designed to provide a universal approach for solving the problems related to the web. The algorithm depends on the machine learning system so that the end-users get a better experience. 

Every mobile application development is currently done with efficiency by artificially embedding a machine learning mechanism in its background. Regardless of everything, there is a huge gap between personalization and actual personalization. You can’t satisfy your users with an app with fewer essential features. But with artificial intelligence development, one can narrow down the gap and personalize the app as per the user’s requirement. Machine learning is a technology that makes the platform – user friendly with an enhanced edition of its features. 

● Improves The Personalized Experience Of The Users 

The digital units in machine learning enable it to continue with all the learning processes. The algorithm of machine learning has the tendency to analyze and process the information of the user based on their social media activities. For instance, when a user starts browsing about any app – the ratings or recommendations would start appearing one by one. 

● Active Association With Mobile Application Users

Machine learning applications can help to manage the users based on their preferences. You can provide all the relevant and approachable content on your application to convey its true impression to the users. Android mobile application development companies are applying exceptional resources to influence the prospects behind using those resources. 

● Machine Learning Supports The Apps With Visual And Auto-Recognition 

The mobile applications with machine learning integration identify different faces and words through neural networks. It greatly helps make the users experience seamless and less time expensive. 

● Offers Efficient Search Experience For Application Users 

With data leading the world to evolve at high speeds, effective search is becoming more important in creating a better user experience. When the users use the net for searching their queries, they expect a result that is much similar to their search purpose. Machine learning applications are the best in achieving it quickly.

● ML Helps The Application With Advanced Data Withdrawal 

The trading of big data is uncontrollable and multi-fold. Though, processing high amounts of raw data requires many efforts for analyzing and categorizing the information. ML is enabled for processing numerous profiles at a time and thus helps in crafting aligned strategies for an application that is backed with robust data sets. 

● Quick And Secured Authentication Process

With the addition of machine learning in mobile applications development, businesses can provide a protective environment for the customers. Thus, it enables the eCommerce application to add an authentication process and approved identification system for the users to log into the mobile app. Machine learning adds extra security to the applications; thus, it is preferred by mobile app developers. 

● Evaluating Customer Behaviour 

With the development of artificial intelligence, both app development companies and marketers are getting more concerned with the customer’s choices and preferences. On the basis of these preferences, all the users have a better and more personalized experience of the web. The experiences mostly differ on the basis of – gender, browsing history, geographical locations and the intensity of the mobile application usage. 

With all these features, it is time for all industries to adopt ML. 

Top Machine Learning App Examples

The advanced algorithms of the industry transform the way users interact with their devices while adding unique ideas to the mobile app. Here is the list of the best machine learning app examples –

● Tinder 

It uses the algorithm with strength learning for the photo feature, increasing the user’s chance of finding the perfect match. It shows users the photos of other users in random order. The ML system analyzes the number of right or left swipes each image receives. This way, Tinder learns which image is more attractive to other users and which is not. It thus rearranges the images and puts popular images first. 

● Snapchat 

This application has an efficient face detection feature with the use of AI and ML algorithms.

Mobile machine learning algorithms look for faces in the images and add fun elements like dog ears, hats, and much more. 

● E-Bay

It is an online shopping store that takes the help of Machine learning development companies for creating a user-friendly environment for the customers. ML helps in understanding the requirements of the users. Later, the Chatbot (product of a machine learning algorithm) processes the text messages and images offered by the users to find the best match for them.

Other than these, there are many more applications that use machine learning for providing an advanced and innovative experience to their users. Some of these applications are – Netflix, Google Maps, Spotify and many more. Capabilities of machine learning systems are highlighted in these applications, which are popular worldwide.

Key Takeaways

The technology of machine learning has empowered websites and mobile apps and thus has attracted many users. Most Android app development companies rely on machine learning as it offers advanced research methods, protection against fraud, and secure authentication.

Cloud platforms have completely changed the way developers and businesses perceive mobile app development. When modern businesses need fast-paced, smooth, easy, and efficient ways to build and implement mobile apps targeting a particular user audience, cloud computing comes to their rescue. Cloud computing platforms bring a lot of flexibility to mobile app development projects.

 In a multitude of ways, cloud computing is creating higher value propositions for app development projects. When building a mobile app from scratch, multiple cloud platforms with their plethora of services can come to your aid all the time.

Here we are going to mention some of the value propositions the multi-Cloud approach offers.

●     Quicker response time: Cloud-based apps allow quick testing and deployment allowing faster time-to-market.

●     Enhanced scalability: Depending upon the evolving business demands, the application capacity can easily be scaled up or down.

●     Lower costs: All the data centers being managed by the leading cloud infrastructure companies catering to a large pool of businesses often end up delivering lower prices. This is why Cloud-based apps require less maintenance cost than on-premise ones.

●     Enhanced security: Since the cloud-stored data can be readily and instantly accessed by authorized users, they enjoy robust backup measures. All the leading cloud service providers with the help of world-class security experts also ensure optimum infrastructure security and on-demand security for businesses.

●     Smooth operation: Third-party cloud service providers who have hired managing infrastructure further ensures smooth operation.

Key Reasons for companies to opt for multi-cloud

In many companies, the decisions corresponding to new technology adoption aren’t taken care of by centralized teams. Various teams can independently go for different cloud providers and thus the whole organization can actually end up going for multi-cloud. Apart from looking at it as an unintentional fallout of decentralized management, it is important to look at the benefits of this approach as well.

Flexibility

It is probably the principal reason for companies to opt for multiple cloud platforms. Through this approach, businesses can also prevent the “vendor lock-in” and remain flexible in their choices.

When it comes to IT infrastructure, this also ensures easy access to a large number of tools and resources. There are many app developers in Belgium who get cloud app projects with the only intention on the part of clients to stay flexible and open to all.

Cost competitive

Staying cost competitive is another crucial reason for businesses to embrace the multi-cloud approach. Enterprises can just opt for the low-cost Cloud resources as per their requirements and can opt for higher-priced services for certain functions when they really need them. Multi-cloud native platforms also allow getting cost estimates in advance so that the businesses can actually utilize Cloud services keeping an eye on cost.

Awesome Performance

Performance enhancements become easier through a multi-cloud strategy. A company can opt for a data center close to their business location and can ensure optimum latency fulfilling specific hardware requirements.  Their system also becomes more resilient as occasional outrage in one part of the system can be botched up by the other part.

Adhering to Regulations and Compliance

In the IT industry, there are several Cloud specific regulations regarding keeping data stored in particular locations. To meet these rules businesses prefer diversifying their cloud platforms to make sure they have access to multiple data centers in all key locations of their business operation.

Robust Security

Since through multiple cloud platforms data and IP addresses are spread across locations and diverse platforms, any security breach can actually do less damage to the data. On the other hand, new security tools are being worked upon to give the power of modern p analytics and machine learning to the users of multiple clouds. These technologies will further help to diversify the location-based data breach risks.

Why Do Mobile App Developers Prefer a Cloud-backend?

Now that we have a gross idea about the benefits of cloud services for businesses, it is time to know the perspective of the mobile app developers to understand their reason behind choosing Cloud backend.

In recent times Cloud platforms are coming with a backend-as-a-service (BaaS) solution. These solutions take maximum responsibilities besides dealing with the back-end capabilities. This gives the app developers a lot of flexibility and freedom in dealing with their own tasks of creating features and functionalities for the app and they can completely do away with worries over app security, scalability, and reliability.

Get the ideal cloud service based on the app needs

Cloud platforms are popular for delivering a great foundation for your app’s performance. Cloud services ensure that you can run apps consistently in all environments. But, you also need to choose the cloud platforms where the app runs best with the least performance glitches.

The app developers ideally need to write application code that is totally cloud platform agnostic and can run on all platforms. But often that doesn’t happen in practical life. This is why it is advisable to focus upon one or two cloud platforms for running your app. The kind of workload your app needs to deal with may not be perfect for every cloud platform and hence you need to be selective.

Conclusion

Cloud computing is continuing to help mobile app developers in delivering superb and engaging user experiences while ensuring a lower cost of development and experimentation. Through the use of the cloud, app developers can incorporate social login functionality, offer a high context-driven user experience based on the geo-location data of the users. With so many promises in terms of flexibility and ease of use, Cloud is very likely to play the role of a game-changer in the global app development scene.

The emerging wave of cloud-native technology is taking over the software development world, and for a good reason. The cloud-native application supports developers to take advantage of the new and existing platforms and processes of the cloud system. Also, an enterprise can handle disruptive challenges with cloud-native apps.

The popularity of cloud-native apps are growing, and even the most renowned organizations such as Netflix, Pinterest, Uber, etc. are increasing their cloud-native abilities to avoid technological issues. 

So when cloud-native has so much to give, can it dominate the development world? Can it be the future of app industries? 

Let’s discuss ahead and find the answer!

Cloud-Native Application – A Quick Introduction

Before we move ahead, first, let’s gather some knowledge about what cloud-native applications are

Cloud-native is an advanced technology to build applications that use cloud computing as the base instead of an in-house server. So when you will build an app, you don’t have to invest in an in-house server to store it; instead, cloud-native gives you an amazing option to store the app on the cloud.

Besides, while developing software, you don’t have to worry about ‘where’, you would focus on ‘how’ as the cloud-native has a unique approach for app development than the traditional one that we are familiar with.

There are 3 major support pillars of cloud-native applications development:

Containers:

Individual part of the cloud-native app is encapsulated in a container. So whenever an application is run, everything it requires is in its own package. 

Orchestration:

Each container is managed so that all the resources are optimized properly.  Hence, it is handled automatically and doesn’t require any manual attention.  

Microservices: These are just like small apps, and each app has its different purpose. A team of developers can easily handle microservices.  

Polyglot: Every cloud-native app is built using a certain language or framework. This way, developers can take advantage of using diverse programming languages, frameworks, and runtime for discrete services.

 Need of Cloud Native in your Enterprise 

There are four major reasons to have Cloud Native for your app development enterprise: 

• Advanced tools for Monitoring & Management
  
  

An app developer can use various tools for the auditing and monitoring of cloud-native apps. Also, platforms such as Datalog, AppDynamic, and Newrelic can become handy to check Microservices and containers.

Open Tracing and Zipkin are also great tools for debugging your app. And for log aggregation, use Splunk, Fluentd, and Elasticsearch.  

• Auto-Scaling for Connectivity 
  
  

Auto-scaling is the major reason why more and more software companies are switching to cloud-native. The piece of code where to apply the auto-scaling feature will scale-out without manual interrupt as the traffic spikes.  

• Affordability of the Application Development
  
  

Another big reason to choose cloud-native is the cost factor. One can achieve consistency of tools and infrastructure by using specific cloud-native tools such as microservices. Hence, it includes low cost because of this factor and, as we all know, cloud-native application for an ‘open source’ model. You will not get pay-per-use costing time in milliseconds support in any other server. So cloud native is easy on your budget.  

• Reliability
  
  

Any company would anticipate the utmost reliability from their software development platform. That’s exactly what you can expect from cloud-native applications. The microservice architecture and Kubernetes offer developers a robust and secure app production method that would bear faults without crashing. The self-healing property of cloud native applications make them special and the most reliable. Besides, one can easily move to a new data centre in the middle of failure. This automatically lowers failure chances and increases reliability on cloud-native.       

Major Cloud-Native Applications for Software Development

 Following are the major cloud-native applications:

Microservices

As we discussed earlier, microservices is the combination of small apps that work collaboratively to provide functionality to your system. Each microservice focuses on single functionality and contains limited APIs and boundaries, and managed by a small team of professionals. Hence, a single package of microservices can help you handle & control the multiple functionalities of your app.  

Application Program Interfaces (APIs)

API works as connectors that unleash the functionality which other apps can use. API has this magical power to customize or extend an application without reaching or changing the code. It is the best way to ensure code security. API also helps developers to use the best functionality of other applications as well.

For example, Google Maps in the digital world. A developer can easily merge mapping functionality to any app by requesting geographic information through API. They simply just don’t develop a map from scratch to match the digital standards because API makes things easier. Great, isn’t it?   

Software-defined Infrastructure & Security  

Do you ever imagine if you could transform the hardware such as switches, plugs, dials, etc. into the app to get the virtual feel? It’s possible with advanced cloud-native application. This system considers the underlying infrastructure as the fuel and adapter to all the requirements. It gives you the freedom to automatically scale up or down the capacity, start & stop the services, and relocate the resources through the app. So nifty!   

Do Cloud-Native Applications Hold the Future of App Development?

The obvious answer is ‘Yes.’

Cloud native application development brings so many continuous benefits to the table that a developer can shun half of their efforts required to develop an application that runs efficiently on the Internet. Its properties such as microservices offer an advanced level development experience.  

But let’s just keep all the benefits aside and have a look at the potential challenges that a developer might face while using cloud-native for application development.

Data Storage in Cloud-Native Apps

When you have the power of serverless containers and functions in immutable infrastructure, the permanent storage might become insufficient. This could lead to continuous internal data disruption when the system or app is turned off. So cloud-native could lead to data storage issues as well.  

Service Integration into App

Cloud native application development comes with a variety of services that might perplex a developer. They have to ensure that each service is sized accurately. They might even lower the number of services because these could convert into increased integration and complexity, which nobody wants in their app.   

Complexity Working in Synergy

Cloud-native tools such as DevOps support developers or a team of developers to build, test, and deploy an app synergically, but it can become complex sometimes to work with one another.

Do all these challenges make cloud native applications any less? Nope!

Cloud-Native is an extraordinary and evolving technology that eases the app development process. Only the time and coming challenges will define if cloud native applications will change the way we develop apps. But for now, cloud-native is changing our work style and helping developers to build excellent apps inexpensively.    

Final Words

 The idea of serverless Cloud Native applications is to support an easy way to implement scalable and complex systems and provide huge storage for apps elements.

Containers ease up the way an app is distributed.

Microservices allow you to accurately structure your system.

You get security for your app, and any data disruption will not stop your app is guaranteed. And if you have decided to partner with a software company for cloud native services, you must also consider orchestration and docker as well to manage everything harmonically.

Many people prefer to choose custom services. Are you familiar with photo prints and print on demand services? Or are you new to the concept? Either way, you will find answers to all probable questions about this concept. 

This guide provides you with an insight into the concept of print on demand services. You will find out how these services work and how you can use them. Let’s Find out! 

What are photo print services? 

Before delving into the concept of print on demand services, it is best to understand photo print services. 

Photo print services help you to create high-quality prints of digital photos. It allows you to beat the hassle of acquiring expertise or purchasing costly products. Likewise, you won’t have to spend as much as point-of-sale printing operations. 

Whether you are an artist or an art lover, you would have to use printing services one day. They print on various materials like frames. You can also have prints on custom materials like T-shirts, mug cups, caps, etc. 

Some printing services make digital prints available for sale, while some prefer to print when there are orders. Hence, the concept of print on demand services. 

What is Print on Demand Services? 

Print on demand services uses a similar concept to regular printing services. The main difference is the order fulfillment method. Items and images are only printed after an order is made. Print on demand also allows you to create custom designs for varieties of products and make them available under your brand. 

There is no limit to what you can print on demand online, from frames to other custom materials. It allows you to work with a supplier to customize white-label products, including frames. You will also get the opportunity to sell the products on preorder under your brand. 

So, you won’t have to pay for your prints until you already sold them. The supplier handles all needs, from printing to shipping. So, there is no need to buy the materials in bulk for sale. 

Uses of Print on Demand Services 

The increasing popularity of print on demand services is because of their increasing uses and benefits. Here are some of the uses of print on demand services. 

1. It helps you to test a business idea without risking your capital 
2. Allows you to make money from your existing audience 
3. It helps you to explore a niche to create an original product 
4. Print on demand services allows you to sell your photos and other artworks online 
5. Allows you to print one-off items with ease 
6. Shipping and other process is handled by the manufacturer, making it relatively easier 
7. It is useful for creating quick products with minimal investments and risks

Cons of Print on Demand Services 

There is no doubt about the benefits and uses of print on demand services. Regardless, it has its shortcomings. But understanding these limitations helps you to handle and explore this service better. 

The cons of print on demand services include; 

• It gives you lower control over the shipping process 
• Limited customization control over products 

Summary 

Print on demand services is a good way to market your brand with minimal risks. It helps you to make prints as fast as possible. It also comes with minimal risk. If you want to have a more creative idea about photo prints, check this link https://www.elephantstock.com/collections/photo-prints. 

Anybody who has used internet or visited a website must have encountered the term ‘website crash’. What exactly it is, have you ever explored? In a simple language, it is the inability of a website or a webservice to withstand load. The traffic surge puts pressure on the website server and it may fail to respond to all commands and queries received. There can be other reasons, too, like bandwidth issues, etc.

In this post, we intend to walk you through:

1. What is load testing?

2. How to do load tests

·         Creating and performing load tests

·         Other important steps in load testing

3. Load testing strategies

So, let’s begin!

a. What is load testing?

Load testing is nothing but performance testing. It involves testing how the web service or API will work in a given set of conditions. Load testing services create simulated environments to find how the web service will work in response to various types of external and internal factors.

b. How to do load tests?

Load tests require creating different types of loads that may impact functions first. The load testing services have a full-blown repertoire of loads to create. Not only do they design load testing strategies of various kinds, they also offer the intelligence of validating the tests done to their clients. The process is demarcated into various parts, such as:

·         Create a new load test

Load testing services employ automated tools to do performance tests. The tool comes with a navigation panel. Common steps involved in creating a new load test are:

a.    Go to Navigator Panel

b.    Right click on the test instance or case

c.    Select ‘New Load Test.’

d.    Enter the load test name in subsequent dialog box, for example, SampleLoadTest

This opens the LoadTest editor. Now you are all set to configure and perform the created test.

·         Perform the load test

Performing the load test involves following steps:

·         Creating a dedicated test environment for starting the load test

·         Determine load test scenarios, by preparing following criteria:

o   Prepare data report transaction-wise

o   Predicted number of user at any instance

o   Types of connections plausibly used by people

o   Types of operating systems and browsers users are likely to use

o   Web, application and DB server configurations

·         Execute tests scenarios in various combinations, monitor and collect various metrics

·         Result analysis and recommendations

·         Apply all system fine-tuning procedures

·         Repeat the performance test on all chosen grounds

Best load testing strategies

Load testing services adopt different strategies to test web service performance. Load testing is done in simulated conditions. However, there are some strategies that can help perform load tests as realistically as possible. These strategies are:

a.    Adding more virtual users: In real conditions, the web service is utilized by several virtual users simultaneously. The load testing services may create bottlenecking conditions at the login point. And, keep adding the users simultaneously.

b.    Adding different use instances:The real working capacity of the web service can be checked by exposing it to various use instances. Load testing experts can employ user data in different combinations in the web service fields. However, the focus is to be on testing service by putting different information each time. Playing back the results for the same person using various information fields interfere with the sanctity of the result.

c.    Switch from simulated to real browsers: It is nothing but leveraging the virtual users on real browsers. The process involves:

·         Understanding and assessing how the web service will work in different devices and browsers.

·         The performance check on different bandwidths plausibly used by the web service users.

·         Since the users may spend different times on various pages, the page performance comprising load time, think time, etc. can be found out.

d. Set the load duration:All users don’t access the web service concurrently. Some may have just logged in, others may be at the checkout page, and so on. The users enter their scenario, complete it, and also, the load is maintained for that duration. The tester may have run the scenario for ten minutes for a 2 min long instance. So, experience of 5 concurrent users can be assessed by using load duration time of 10 mins.

How to analyze the load test results

Load means how well a system or application can handle multiple requests coming from concurrent users. The load test results are analyzed based on the following parameters:

1. Page Load Time
2. Request and response throughput
3. Response load time
4. Errors and warnings
5.   Hosts

a.    Page load time: A short page load time means better user experience and engagement. The web service does not take more than a second to load. Thus, the web service may enter an SLA with the developer where they agree upon having a page load time. There is a challenge of bottleneck to combat too. It arises when the page load time differs due to the nature of content.

b.    Request and response throughput: It is dependent on the amount of data the web service is required to handle. Bandwidth reaches a plateau after a certain point of data handling. The point of reaching the highest use is mostly due to firewalls. Load test allows to find what setting will be required to ensure that the bandwidth does not reach the maximum use.

c.    Response load time: This analysis-worthy point helps understand the reason why any page behaves the way it does. The response load time helps find which activity or instance is consuming the most time or resource. All the tests done in load test can be integrated into various kinds of web service performance monitoring tools.

d.    Errors and Warnings: This point of analyzing loads gives an overview of what kind of errors occur on any web service’s page and at what instance. Load testing services may make a list of all the errors and warnings that occur. Further, the analysis is done to find how the errors occur and change when the load intensifies or cools down.

e.    Hosts: The current ecosystem of web service comprises ads and analytics servers, content delivery networks, social media and syndicated content, multiple hosts are put to use. The hosts serving the web service may be a source of lag due to the response times involved in processing requests. All those lags need to be understood to take appropriate action. When any host is found painfully slow, the factors and the remedies need to be outlined.

Important tips for load testing

Online retail faces the most load on Black Friday. It is the day after Thanksgiving and is no less than an acid test for web services or applications. To manage the unprecedented situations like this day, load testing is essential. Important tips are:

a.    Test the load well in advance

b.    Test the web service’s full stack

c.    Monitor the backend results

d.    Gauge user experience

e.    Test in real life scenarios too, after testing it in simulated conditions.

Summing up,

The load is a challenge as well as the opportunity. Makers of web service find the load handy in understanding the design and functionality requirements, and any other changes it requires. They can do scaling up or down of resources by taking cues from the results of load tests.