React optimization tips for improved performance

Optimizing application performance is a critical requirement for developers. Delivering a positive user experience is essential and determines the app’s success. In research, Akamai, the world’s leading CDN service with clients like The Washington Post, Flipkart, and Netflix, found that a one-second delay in application load time can result in a 7% reduction in conversions.

If your application is built on ReactJS, fortunately, there are several optimization techniques you can implement to accelerate the performance. In this guide, we elaborate on tips for using React optimization to keep performance high as your app scales.

1. Keep component state local where necessary

In ReactJS, a state update in the parent component re-renders the parent and all its child components. This is why you must ensure that the re-rendering of the components happens only when necessary.

The easiest way to achieve this is to separate the code that handles component states and make it local.

Here’s the example code:

import { useState } from “react”;

export default function App() {

  return (

   <div>

    <FormInput />

    <ChildComponent />

   </div>

  );

}

function FormInput() {

  const [input, setInput] = useState(“”);

  return (

   <div>

    <input    

type=”text”    

value={input}

onChange={(e) => setInput(e.target.value)} 

/>

    <h3>Input text: {input}</h3>

   </div>

  );

}

function ChildComponent() {

console.log(“child component is rendering”);

return <div>This is child component.</div>;

}

Only the input field is responsible for the component state in this code. We separate the input and the state into a FormInput component, making it a sibling to the ChildComponent. Now when the FormInput component state changes, only the component re-renders.

While there will be some instances where you cannot avoid the global component state, this method can still significantly optimize ReactJS performance.

2. Memoizing React components

Memoization is a React optimization technique that caches a component-rendered operation to save the result at the moment. Then for the same input at other instances, it serves the results from the cache memory. It’s the same as for any different caching technique, but with React, it works better as it is integrated at the code level.

Let’s understand this React optimization technique with this code:

import { useState } from “react”;

export default function App() {

  const [input, setInput] = useState(“”);

  const [count, setCount] = useState(0);

  return (

   <div>

    <input    

type=”text”

     value={input}

     onChange={(e) => setInput(e.target.value)}

    />

    <button onClick={() => setCount(count + 1)}>Increment counter</button>

    <h3>Input text: {input}</h3>

    <h3>Count: {count}</h3>

    <hr />   

<ChildComponent count={count} />

   </div>

  );

}

function ChildComponent({ count }) {

console.log(“child component is rendering”);

  return (

   <div>

    <h2>This is a child component.</h2>

    <h4>Count: {count}</h4>

   </div>

  );

}

Here the input field update re-renders both the App component and ChildComponent. But we only want the ChildComponent to re-render because it is responsible for updating the UI. So, we memoize the ChildComponent to optimize the app’s performance.

3. Using React.memo()

React.memo is one of the higher-order components you can use in your ReactJS app to wrap a purely functional component to prevent its re-rendering if the props received in that component never change.

Here’s a syntax example to achieve this:

import React, { useState } from “react”;

// …

const ChildComponent = React.memo(function ChildComponent({ count }) {

console.log(“child component is rendering”);

  return (

   <div>

    <h2>This is a child component.</h2>

    <h4>Count: {count}</h4>

   </div>

  );

});

If the count prop never changes here, React will skip rendering the ChildComponent to reuse the previously rendered result. This can significantly improve React performance.

React.memo() is a good React optimization technique to be used with primitive values, such as a number in our example. Primitive values are always referentially equal and return true if their value never changes. While non-primitive values like objects, including arrays and functions, always return false because they point to different spaces in memory between re-renders.

Here is an example code passing a function to the child component: 

import React, { useState } from “react”;

export default function App() {

  // …

  const incrementCount = () => setCount(count + 1);

  return (

   <div>

    {/* … */}   

<ChildComponent count={count} onClick={incrementCount} />

   </div>

  );

}

const ChildComponent = React.memo(function ChildComponent({ count, onClick }) {

  console.log(“child component is rendering”);

  return (

   <div>

    {/* … */}

    <button onClick={onClick}>Increment</button>

    {/* … */}

   </div>

  );

});

In this code, the incrementCount function passed to the ChildComponent makes the component re-render when the function is redefined. To prevent regular redefining of the function, we can use a useCallback Hook that returns a memoized version of the callback between renders.

This will save memory and make the ReactJS app perform faster and more efficiently, avoiding unnecessary re-renders.

Conclusion

ReactJS is one of the most widely-used frontend development languages. It requires less code for building apps and can be scaled easily. And to keep the performance high when you are building scalable apps, we are sure these tips will help optimize the performance of your React application easily.

Talent500 is the platform for ReactJS developers to explore career-redefining opportunities with Fortune 500 companies and fast-growing startups. Sign up here to join our elite talent pool.

 

What is Regression Testing?

Delivering a high-performance and bug-free software product every time is the ultimate goal of any development team. Writing code is a part of the overall development. Another aspect is QA testing, which involves accessing the outcome for all possible use cases, which is tough. That’s why software engineering includes testing as one of the building blocks of quality product development.

Most development teams often choose regression testing, given its impactful test cases and approach. According to market reports, software testing was a USD 40 billion market in 2021 and is poised to grow at a CAGR of over 6% between 2022 and 2030.

This article details everything there is to know about regression testing and its contribution to developing high-quality software and applications.

What is regression testing?

Regression testing is a software testing practice that checks an application regressively. Simply put, in regression testing, all recent code changes are successfully integrated, and the end functionality of the product is not affected. But it also reruns all the previously passed test cases to ensure that the full product functions as a single unit.

Most projects run regression tests after code changes, updates, and improvements. Regression testing ensures a product remains sustainable under continuous updates and improvements. If the overall stability and functionality of the existing product features are affected with each update or other testing methods are not successful in catching bugs before the product reaches the end users, regression testing can guarantee bug-free updates.

Verifying the product behavior as a whole, regression testing evaluates and tests dependencies, defects, and malfunctions to proactively mitigate risks. Make regression testing the final step before product deployment to ensure that your code remains operational even after new changes.

When should you apply regression testing?

While it is a  highly comprehensive form of QA testing, not every product update requires regression testing as it is pretty resource-intensive. Some typical circumstances to implement regression testing over other QA testing types is:

  • A new feature or function is added to the existing code base
  • A current feature is updated with a new requirement
  • The code base is optimized for performance
  • Reported bugs or malfunctions are fixed
  • Patch fixes are added to the product
  • Any changes are made in the configuration

Also, regression testing in such cases can quickly uncover any old bugs that can regenerate due to any recent changes or improper software version control.

Benefits of regression testing

As software development has become more agile, regression testing brings the same flexibility and speed to QA testing. It is instrumental in testing the code on the go without slowing down the development speed. There are several reasons to include regression testing in your sprint at each phase.

  • It results in top-notch quality due to regular and thorough testing.
  • Ensures that no old bugs are regenerated due to recent code changes.
  • Keeps the software extremely stable after every update.
  • Ensures that the product remains sustainable due to early bud detection.
  • Results in faster debugging as it is easy to identify the root cause of a bug.
  • Developers get feedback faster after every code update.
  • Several automation regression tools are available that speed up QA testing.

Challenges of regression testing

For the most part, regression testing is carried out manually. While it can be efficient when handling a small-scale project, QA engineers can run into several challenges for large projects.

Usually, as the software evolves, it expands to include hundreds of features and functions. This consequently increases the number of test cases required to continuously enhance the quality of the code and keep the product sustainable. There will come a point when running regression testing proficiently won’t be possible with available resources as it becomes:

1. Time-consuming

Manual regression testing can take days and, at times, months if the project is huge. It can significantly delay the deployment time.

2. More staff 

To accommodate the resource requirement of increasing regression test cases, you will have to hire more QA engineers in your team to successfully conduct manual testing before the deadline.

3. Increased cost 

More time and increased staff add to the project cost. This can often lead to reduced project scope forcing you to deliver products with less features or incomplete tasks.

4. Accuracy issues 

When too many manual testers work on regression testing, there is a high risk of human errors. Also, regression testing is relatively monotonous, which makes it even harder for QA engineers to focus.

Conclusion 

Regression testing is key to improving product quality while keeping the deployment time low. SeleniumKatalon Studio, and IBM Rational Function Tester are some great regression tools to automate the QA testing process. These tools apply regression testing effectively to identify all surfacing defects early in the pipeline and eliminate them to improve user experience.

Talent500 is a remote team-building platform where QA engineers can explore career-redefining job opportunities with Fortune 500 companies and fast-growing startups. Sign up here to join our elite pool of talent.

 

Full Stack v/s specialized developer 2022: The ultimate guide

Increasing digital transformation needs are prompting businesses to look for developers. The market offers two options – hire a ‘jack of all’ full stack developer or go with specialist developers.

Developers who dabble with different programming skills seem to be better. At the outset, they are multitalented, allow businesses to maintain low head, and reduce overhead expenses. So, it’s evident they are better. But are they? Well, not always.

As in any other industry, the mismatch between talent and the role is also common in software development. The struggle between the choices of hiring full stack and specialized developers is real.

This article explores the solution to this dilemma, but first, let’s find out the job profiles of a full stack developer and a specialized developer.

Full stack developer vs. specialist developer 

Full stack developers are professionals who have both frontend and backend development skills. Such developers are familiar with multiple technologies and can undertake a project alone. Usually, they possess a broad skill set of project planning, software testing, and software development lifecycle to make crucial development decisions independently.

The common skillset of a full stack developer includes HTML/CSS, JavaScript, database management, and Git for frontend development. They use PHP, Python, Java, or Ruby for backend development. Among other skills, they know the basics of graphics designing, NPM, and essential software developer soft skills.

Speaking of the current market demand, full stack developers are hot in demand. According to the Bureau of Labor Statistics, the demand for full stack developers will increase from 1.35 lakhs to 8.53 lakhs by 2024.

The specialized developers are skilled in either frontend or backend technologies. The frontend developers handle the visual aspect of an application, like the development of web pages, UX/UI interfaces, mobile app designs, and other interactive layers of an app. The backend development takes care of all the server-side development.

Frontend development involves the visual part of the application, user interaction, etc. The backend development consists of the server side of the application. It also involves the management of server resources and databases. The skill set of specialized developers makes them the best for the particular job. This is why technical developers can build a project securely with robust features, as they have in-depth knowledge of the technology they work with. As for the job market, the demand for specialized developers is consistent across frontend and backend domains.

Factors to consider when making the choice 

A specialized or full stack developer will bring different skill sets, benefits, and challenges to the overall development project. To choose between the two, you need to factor in these considerations.

1. Quality of work

Specialized developers can undisputedly deliver better quality as they are more proficient with the technology they work with. Multiple specialist developers working on a project might drive up the cost, but the result will be superior in quality. Furthermore, while familiar with most technologies, a full stack developer might not be updated with the latest trends and technologies. Developers focusing on a specialized area keep their skills updated to deliver the best product quality.

2. Development time 

As full stack developers can easily switch between tasks and handle client-side and server-side simultaneously, they can deliver products faster. A full stack developer always has a clear overview of the scope of a project as they work more independently than specialized developers. The high dependency of specialized developers on other developers makes them slower. Unless all the specialized developers in the team complete the assigned task, they cannot go ahead independently.

3. Project cost 

As full stack developers can handle a project’s frontend and backend developer aspects, they offer price economy. Businesses prefer full stack developers as they are versed in all aspects of development. It requires fewer developers in a team, and there is no overhead to maintain. If a company can manage the quality of the end product to keep the cost of development low, a full stack developer is a suitable choice. Hiring specialized developers is expensive because you need to manage larger teams.

4. Availability

Hiring full stack developers is challenging compared to specialized developers. It takes much time to attain full stack development skills, hence talent is scarce. In comparison, finding frontend and backend developers is easier. Another reason that companies must keep in mind is that hiring full stack developers makes them highly dependent on them. If a full stack developer quits, it will be challenging to keep the project going as they usually handle most of the project alone.

Conclusion 

While expertise offers certain advantages, a skillful full stack developer can handle several tasks to fix issues faster and bring down development costs and timelines. The final decision to hire the best talent must depend on the project requirements and the expected outcome.

Talent500 is the remote team-building platform global tech companies use to hire specialized and full stack developers. To know more, sign up here.

 

Aligning cloud spend management with cloud transformation

Digital transformation is growing at an accelerated pace. Since the pandemic, businesses are aggressively investing in digital transformation solutions, and cloud transformation is an essential inclusion in the process. Unsurprisingly, more than half of the enterprise organizations are already planning to move to a cloud-native infrastructure.

There is a reason for such an increase in the adoption of cloud migration. It offers economies of scale and connectivity, which is impossible with other infrastructures. With the cloud, companies can better use data to identify opportunities. With this large-scale adoption, the spending on cloud infrastructure is also increasing. According to IDC, the spending on cloud technology increased by 13.5% in 2021 to reach $21 billion compared to 2020.

The benefits are making companies shift to the cloud. However, if not managed efficiently, your cloud infrastructure investment can end up going out of budget. The cloud is different from any other hosting domain because you can manage the resources to the micro level. You pay for what you use, which means any unplanned cloud transformation can result in unexpected access costs. It can also lead to issues like applications consuming more resources and underperformance caused due to architectural limitations.

The solution lies in aligning cloud spend management with your cloud transformation goals. That’s what we will explore in this article.

What is cloud spend management? 

Before the digital transformation, every business must practice effective cloud spend management. It is a phase of strategic planning to gain insights needed to optimize current cloud resources and cloud spending through control budgeting and future cloud usage prediction. Successful cloud spend management enables businesses to easily avoid the pitfalls of overspending and have better control of the cloud-based environment.

The most important aspects of a cloud spend management strategy are:

1. Cloud cost management 

It involves not just cloud management but bringing teams together to fuel innovation and facilitate better use of cloud technology for cost reduction.

2. Cloud cost optimization 

Optimizing cloud spending ensures you are not wasting money paying for more resources than necessary. With cloud cost optimization, you can free up more capital to invest in an overall digital transformation strategy.

3. Cloud cost visibility 

This gives businesses a more accurate view of cloud spending, irrespective of the complex infrastructure. It covers all aspects of intelligent expense management.

What do you need for cloud spend management? 

Spending management processes require readiness. Whether you are an organization planning cloud migration or struggling to make existing cloud spending more visible, you will need monitoring tools. For instance, AWS has Amazon CloudWatch that enables monitoring of your estimated charges. It continuously monitors your cloud resource utilization and sends you alerts based on predetermined billing rules you set up in your account.

Also, better spending controls are needed to deal with unplanned costs. Spending accountability allows you to identify any internal lapses leading to increased costs. You need to identify the groups that can benefit from more training, guidance, and resources to realize the full potential of cloud transformation.

Why do we need cloud spend management? 

Delving into cloud technology can be daunting for any business. With effective cloud cost management, a lot can be achieved.

1. It increases transparency and visibility 

With cloud spend management, you can get a more profound and insightful view of your cloud usage across single or multi-cloud environments. DevOps engineers can quickly identify underutilized or wasted resources and identify cost-saving opportunities.

2. Optimize cloud spending 

With cloud cost management, you can maintain a consumption-based approach and track current cloud resource usage to rein in any unpredictable cloud spending. It also gives you more control over how your business uses cloud resources across several units. You can create centralized tagging to govern cloud resources across the enterprise.

3. Long-term strategy and actionable data

You acquire the data that helps you create a long-term plan to monitor cloud resource consumption consistently. Most enterprises use cloud spend management to track resource utilization for making informed decisions about cloud technology usage. Cloud spend management also implies that you are better under the business demands and can create actionable data to improve compliance, guide right-size cloud investment, and offer better security.

Conclusion 

Successful alignment of cloud spend management, and cloud transformation brings in agility. You can gauge the impact of cloud transformation much better with cloud spend management.

Insightful data provides a clear picture of the newly increased cost of cloud migration in improving operations. You get scalability and data management capabilities that offer a competitive advantage. Cloud adoption is rising, and if you are not already on the bandwagon, you will miss out on critical advancements for business success.

Since cloud transformation costs can be unpredictable, you can always remain in control of cloud spend management. It is a critical practice that needs a one-and-one approach to evolve and improve as your cloud requirements change or grow.

Talent500 is where cloud engineers connect with Fortune 500 companies, global start-ups, and consulting firms to join their engineering teams. Join our remote team-building platform here.

 

Top 4 security products for Azure

Microsoft Azure is a signature cloud service offered for organizations to host any type of service. Launched in 2010, Azure is one of the fastest-growing private and public cloud computing platforms. It provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) that also includes virtual computing, networking, storage, and analytics. With over 200 cloud services and products, Azure’s steady growth rate over time indicates how increasingly businesses are using its infrastructure. You must understand and learn its security requirements as a developer if you use Microsoft Azure products and solutions.

This article lists some security tools for Azure cloud that can be used on-premises and in a cloud environment for optimizing security across multiple applications.

1. Microsoft Defender for Cloud

A free cloud security platform that Microsoft deploys by default for applications on Azure, Defender for Cloud also includes security posture management. However, the default configuration has its limitations, and to better secure applications, you must deploy Defender for Endpoint or multi-cloud capabilities.

Simply put, you should customize Microsoft Defender for your application’s security depending on its configuration and architecture. A hybrid security option also offers protection for on-premise resources and applications stored in the cloud. You can check the complete overview of Microsoft Defender for Cloud and its enhanced security features here.

Another reason to include this security tool in your cloud infrastructure is its compliance with industry compliance standards like ISO 27001 for information security, Payment Card Industry Data Security Standard (PCI DSS), and CIS benchmarks for cybersecurity.

2. Azure Monitor

For your cloud application, you will need powerful reporting and analytics tools. Azure Monitor is an analytics tool that collects and analyzes telemetry data from various environments. You get data from the cloud and on-premises applications and how they perform. This gives you a clear picture of resource utilization, and you can quickly identify any issues. Azure Monitor features many tools that make your applications more secure and detection and diagnosis tools such as Application Insights and Log Analytics for deeper diagnostics of cloud applications. It also works on servers like Nginx, Litespeed, and Apache.

3. Microsoft Sentinel

Microsoft Sentinel is another great security tool to be used on Azure to enhance the security of the infrastructure. It is a complete security information and event management (SIEM) tool that offers Security orchestration, automation, and response (SOAR) solutions. 

Microsoft Sentinel is true to its name and provides a single pane glass view of your entire estate. It has artificial intelligence to detect, investigate, and mitigate potential attacks before they can cause any harm. It is a security tool that is extremely useful for large enterprises that host vast amounts of data on cloud servers that require continuous monitoring.

You can deploy Microsoft Sentinel for aggregating data from in-house or cloud applications. It is primarily for enhancing visibility for security monitoring and is often used in combination with Microsoft 365 Defender, Azure AD, and Microsoft Defender for Identity. If you require a security tool that allows you to take control of your entire cloud infrastructure and applications and provide serial data-driven insights, then this is the right choice for you.

4. Azure DDoS Protection service

DDoS or Distributed Denial of Service attacks is the most common type of cyber-attacks affecting cloud services. Microsoft Azure has a defense against such attacks and offers it through its Distributed Denial of Service (DDoS) Protection Basic tool.

Azure DDoS Protection service protects the most common Layer 7 DNS Query Floods and volumetric attacks. The service has already been known to protect Microsoft’s most enterprise and consumer services from frequent large-scale attacks. You do not need any customization to enable this or pay extra costs. Azure DDoS Protection service can be enabled by default without configuration or application changes.

You can switch to DDoS Protection Standard if you need more enhanced protection. It is a continuous monitoring solution that actively scans your infrastructure for suspicious behavior or attack indicators.

Conclusion 

With Azure, you get many security tools out of the box as a standard service. All you need to do is to activate the required security tools. We hope this article will help you understand how to implement the most common Azure security tools, what features to offer and how much protection to bring. While most of the Microsoft Azure security tools offer free basic service, you might want to consider your organization’s security goals and compliance requirements to determine whether additional paid-for services are needed.

And if you are an Azure engineer looking for a challenging opportunity to grow in your career, Talent500 is your platform. Sign up here to learn how our engineers work with Fortune 500 companies and fast-growing start-ups.

 

4 key steps to become a Google-certified Android developer

As the world’s most used mobile operating system, Android has created an ecosystem for developers to find excellent opportunities. Learning Android app development is a skill that puts you on the path to a fulfilling career. But, with millions of developers already offering services, how do you assert your expertise and knowledge?

Becoming a Google-certified Android developer is an easy way to stand out. Google manages Android and openly supports the community of talented developers by offering them recognition. By clearing the Google Android Assistance Developer exam, you can quickly boost your career as a certified android developer.

This article covers a complete guide to becoming a Google-certified Android developer.

1. Are you skilled enough? 

Android development is a vast domain, and to become a Google developer, you must be familiar with several concepts. Begin by referring to the syllabus to know the competency areas and individual competencies against which you will be tested. The entire syllabus is divided into five sections: Android core, user interface, data management, debugging, and testing.

You need to upskill if you are unsure about understanding any of these Android development segments. You get a single attempt for the exam, which is why it is essential to prepare. If you fail, you will have to reapply and pay the fee again. Some important concepts that you must be familiar with are the Android file system, data management, Android core syntax, and debugging. Go through the listed topics, learn, and become comfortable as you will have to implement it in code during the exam.

2. Apply for the certification exam

Visit the Google Developer official certification page to sign up for the Associate Android Developer program certification. Once you click the signup button, you will be redirected to a new page where you will be asked to select either Kotlin or Java exam signup. Choose the appropriate option, and then you will see the official certification exam instructions. In the end, there will be a ‘Purchase The Exam’ button. Next, you will be asked to upload your ID proof and continue with the fee payment of $149 or 6500 INR. 

Developers can provide a passport or driving license as valid ID proof in India. If your ID proof is valid and you have paid the fee, you have successfully applied for the Google Associate Android Developer exam.

3. Attempt the exam

Once you complete step 2 successfully, you will see a button to start the exam. When you click on that button, you will be given a project that you will import into Android Studio on your machine. Along with the project, you will be given instructions on what you need to do. Before taking the exam, you must install a custom plugin called the Google Developer’s Certification plugin in Android Studio. The plugin monitors your exam and automatically submits the project after 8 hours.

Usually, you will be asked to add new features to the project, debug, test the application or fix some bugs. You have an 8 hours deadline within which you have to complete the given tasks and submit your project. You must practice coding to be up to speed and complete the assigned tasks within the allotted time.

4. Appear for the online interview

After submitting the project, you will be notified to appear for an online interview if you qualify. It is called an exit interview that lasts for 30 minutes. During the online interview, your concepts of programming and Android, in general, are evaluated. You will also be asked questions regarding the project you submitted. After the exit interview, you will be notified via email for another round of interviews if you qualify for the project and exit interview rounds. If you are eligible for the final interview round, you become a Google Certified Associate Android Developer.

Why become a Google Certified Associate Android Developer? 

The certification provides many benefits to developers that they cannot enjoy otherwise. Here are some advantages of being a Google-certified developer:

  • You get a Google verifiable badge that you can use in your resume, social media profiles, and GitHub.
  • You increase your chances of getting hired as an Android developer and are offered above-average pay for your skills.
  • You stand apart from Android developers with no certification as you have authenticity from Google. Freelancers can easily land better-paying gigs as a certified developer.
  • If you are lucky, as a Google Certified Android Developer, you can get a chance to participate in official summits for Android developers on an all-expenses-paid trip.

Conclusion

A Google Developers Certification gives a significant distinction to your Android developer resume. It’s a testament to your skills and expertise and an indicator of your ability to solve challenges within provided guidelines.

Talent500 is always looking for Google-certified Android developers to join our elite talent pool. We connect you to the highest-paying gigs at Fortune 500 companies and fast-growing startups. Sign up now.

 

Top 5 ways to implement artificial intelligence in mobile app development

Artificial intelligence is no longer considered a futuristic technology but a requirement of the present. Many industries are always taking full advantage of AI; unsurprisingly, the software and app development domain top the list. Mobile app development companies cannot be lenient with adopting new technologies. It is because new changes in technologies are often platform supported that mandates the adoption to create secured and useful applications. According to Statista, mobile apps benefit from artificial intelligence in several ways. From predictive text and voice assistance to location-based app suggestions, a lot can be achieved using AI. Fierce competition demands the adoption of artificial intelligence in mobile app development.

That’s what this article will explore. We dive deeper into how most successful app development companies integrate AI into their products.

1. Chatbots 

Chatbots are everywhere. WhatsApp support for businesses, Facebook Messenger bot for social connections, and recently, Microsoft’s Bot Framework for enterprises and more. Now, chatbots can use NLP or Natural Language Processing to provide app users with suggestions, assistance, and services. An easy way to incorporate AI in mobile app development is through chatbots. You can implement complex capabilities, too, with chatbots, such as speech recognition and cognitive abilities. All these features make conversations more human-like, improving the end-user experience.

Siri and Alexa are the best examples of how Amazon and Apple apps use chatbots to offer services, suggestions, and assistance.

2. Facial recognition 

Facial recognition has become a powerful feature to implement in apps with better camera technology. Primarily used for security and recognition applications in conjunction with other information, facial recognition also has use in other apps. Improving image processing algorithms and cheaper hardware makes it possible to build myriad applications using facial recognition. Facebook, Snapchat, and Google Photos, all these apps use facial recognition to sort data, recommend interests, and offer filters. If your app is in the messenger category, you can boost its camera and photo filter capability using facial recognition. Some other ways to use this AI technology in mobile apps are text translation, image recognition, and information processing.

3. Recommendations

Suppose you are familiar with the OTT platforms like Netflix, Prime Video, and Hulu. In that case, you probably know how their streaming recommendation feature helps them to keep hundreds of thousands of customers engaged. These mobile apps use artificial intelligence to empower their recommendation algorithms. You can use AI and Machine Learning to augment your app’s decision-making capability. 

These technologies give a mobile app the tools necessary to recommend products, services, or shows based on the user’s age, gender, location, and preferences.

Recommendations based on artificial intelligence are much more relevant and have high conversion rates than those randomly offering suggestions. Almost all big brands use this AI feature in their mobile apps to cross-sell and upsell products. If your app is in the shopping or entertainment category, we recommend using AI.

4. Better app reasoning 

Today, mobile apps can do almost anything with the right technology. Given the capabilities of new artificial intelligence algorithms like deep learning and reinforcement learning, developers can make their applications phenomenal.

When you implement AI-based app reasoning, it makes your mobile application a lot smarter. Based on previous user data, it can determine what information the user needs at a given time and provide appropriate options. For instance, the Google Glass app can help you find the available parking spot by using the surrounding data about cars and available space. Most modern car GPS navigation systems rely on AI to find the best route. Another example is Microsoft’s Cortana digital assistant, which can learn new tricks with the AI chatbot Zo.

5. Sentiment analysis

Sentiment analysis might be the most complex implementation of AI in mobile app development. It primarily involves deciphering what people think about a particular entity which can be a brand, product, person, or idea. Some mobile apps already use sentiment analysis to provide feedback to brands about their customers’ perspectives of their products and services. 

Another use of this AI implementation is to decide which are the most frequently used features. It helps optimize the app and remove any unwanted or unnecessary features. Mobile development companies are increasingly using sentiment analysis to offer apps that help businesses make better decisions based on customer satisfaction levels. An example of such an app is AppBot which helps developers do sentiment analysis of their product reviews.

Conclusion 

We assume that you now have a clear understanding of how AI can enhance the quality of your mobile applications. Implementing the above-listed artificial intelligence concepts in your application requires a more profound understanding, irrespective of mobile app development frameworks. As the future of mobile development will depend on AI greatly, it is essential to explore opportunities for advanced mobile app development.

Talent500 is the platform on which Fortune 500 companies and global startups build their remote mobile development teams. Join our elite pool of mobile developers and work with some of the best engineers in the world.

 

 

How to execute a cloud-to-cloud migration

Cloud infrastructure has given technology companies an unmatched capability to scale and save enormous infrastructure costs. But cloud migration is a sophisticated undertaking, involving several thousand to millions of files and configurations. For even the most seasoned software engineers, cloud-to-cloud migration is tricky.

Yet with the availability of several cloud platforms offering competitive pricing, cloud migration is becoming increasingly common.

What does cloud migration entail?

A cloud-to-cloud migration is when a company moves some or all of its data center capabilities from one cloud-based infrastructure service provider to another. Most frequent cloud-to-cloud migrations are between the top three contenders, i.e., AWS, Google Cloud, and Microsoft Azure.

As the capabilities of the cloud are becoming more robust than ever before, more and more businesses are transitioning to the cloud. It remains a highly competitive space, so cloud services offer lucrative deals to companies to switch to their infrastructure.

Irrespective of what led to your company’s decision to switch from one cloud service to another, if the onus is on you to devise a strategy for successful cloud-to-cloud migration, we are here to help.

In this guide, we state the requirements and considerations of cloud-to-cloud migration to help you plan and successfully execute the migration.

1. Cloud migration planning

First, you need to decide whether the new cloud service supports the same file formats and configuration as your existing service provider or not. Cloud migration planning is critical in assessing your current environment and determining various factors that will affect cloud-to-cloud migration. This can include legacy data, essential data of the application, and application interoperability. Do you plan to keep your reliance on data the same, or synchronization of data can be deferred until the migration is completed?

These essential considerations will help you chart a solid plan and create a list of tools and strategies you will need during migration. You will quickly identify which data needs to be migrated and when. Also, at this stage, it is determined if any information needs any scrubbing or modification according to the new infrastructure. Another critical decision you must make is whether you will need to encrypt the data to transit between the service providers. It is valid for companies that handle sensitive customer data.

2. Create a migration business case 

Once you have determined the requirements of cloud migration, it’s time to explore cloud technology offered by the service providers that you will need during migration and their costs. You can evaluate the cost implications and feasibility of your cloud-to-cloud migration along three dimensions – operational benefits, architectural improvements, and cost savings in the long run.

It is better to build a business case by working with the new cloud provider to understand the options for cost savings depending on your proposed cloud migration. The infrastructure and storage requirements will differ depending on your technologies and applications. Most cloud service providers offer multiple pricing models, and you can get deep discounts if you give them long-term commitments. 

You can provide them with the approximate duration of the contract or the level of cloud spending you are willing to do. Also, consider using their dedicated migration engineering services to help you with the transfer.

3. Cloud data migration execution

After you have mapped out a plan for cloud-to-cloud migration and assessed the new cloud environment, it’s time to execute your migration. Here the goal is to carry out the migration with minimal or no disruption to business operations. Also, cloud migration should be done over the shortest period of time and at the lowest cost.

AWS, Google Cloud, and Microsoft Azure provide in-built tools to help you migrate data within the cloud. Amazon offers several tools to simplify and accelerate cloud migration that you can explore here. Google Cloud also has a long list of cloud migration products, including data migration, application migration, and modernization. A complete list of Google Cloud migration products is available here. You can go here to learn more about Azure cloud migration services and products.

You must ensure that your business data services will not become inaccessible to users during cloud-to-cloud migration. You should serialize workload element migration to ensure services work in the new environment without disruption.

Conclusion 

Cloud-to-cloud migrations can be notoriously tricky if you are not strategizing your migration plan correctly. Having experienced cloud engineers on the team helps with the migration. However, we hope this guide gives you an idea to safely migrate your data, applications, or services from one cloud provider to another without disrupting your services for the end users.

Talent500 is the job discovery platform for cloud engineers to find career-redefining opportunities with Fortune 500 companies and fast-growing start-ups. Sign up here to start your tech career with some of the largest companies.

 

 

Top full stack development trends to follow in 2023

Software development is becoming an indispensable component of business success. Enterprises are exploring new technologies as they emerge, especially in web and mobile development domains. These are highly dynamic genres where changes occur rapidly.

Full stack development is a crucial area of software development. As companies want more versatile developers who can work on complete technology stacks rather than a specific technology, keeping a tab on the latest full stack development trends as they occur is essential.

This article lists the most recent full stack trends in the industry.

1. Low-code development 

Full stack development is witnessing the use of less code to build applications. This is called low-code development, and companies prefer low-volume code as it’s more maintainable. Also, full stack developers can deliver products faster with minimal coding. Gartner predicts that by the end of 2021, the low-code development market will grow by 23%, and low-code app platforms will account for over 65% of development by 2024.

As a full stack developer, you must focus on involving a more visual approach to software development. WordPress is one example of a low-code platform developers use to deploy large-scale applications with all the available functionalities.

2. Artificial Intelligence

Artificial intelligence has been the buzzword in the industry for a long time. Today, AI is implemented in all mobile and web applications, such as chatbots, code editors, shopping, OTT platforms, and more. Businesses use AI to automate many business processes, boosting productivity and revenue.

Full stack developers are preferred for AI app developers because they are qualified to understand the needs of such projects as user expectancy, design requirements, and knowledge engineering. These developers take an all-round approach towards the AI project, so they are most suitable for the role. Artificial intelligence is an emerging trend in healthcare, retail, eCommerce, logistics, and transportation. 

As the project requirements for AI are high, teams want full-stack developers who can innately understand the project requirements and offer solutions.

If you are a beginner full stack developer planning to explore AI technology, here is an excellent AI full stack development roadmap. Start with mastering the programming language and move up the ladder gradually through machine learning and data science.

3. IoT

The world was reimagined with the Internet of Things (IoT) technology. It is an ecosystem where all devices can connect, share information, and interact with humans. According to a study, 127 new devices are connected to the internet every second, accelerating growth. This is the reason why experts tout IoT as the Industrial Revolution 4.0. We are still not fully prepared to exploit the benefit of IoT technology which is why full stack developers are needed. They are the engineers who can handle both the front end and back end of an IoT application.

The manufacturing and mining industry is increasingly using Internet of Things applications. Full stack IoT development with straightforward and outspoken frontend, backend, and UI/UX is required for such sectors. Unsurprisingly, companies target businesses in these industries with innovative products like remote fault locators, automated equipment controls, and data mining from thousands of field sensors. Full stack developers are ideal candidates to support the development of such IoT products as they can handle both frontend and backend applications.

4. Blockchain

The success of Bitcoins popularized the concept of blockchain. It is one of the full stack trends that developers must follow. Blockchain is an umbrella term, and there are infinite possibilities for this technology in real work. It offers myriad benefits such as security, speed, distribution, immutability, and transparency. This is why industries like finance, banking, ERP, healthcare, and many more are rushing to adopt this technology.

Statista projects that the market revenue for blockchain technology will grow multifold to reach $39 billion by 2025. The 60% growth of the technology will be in the finance sector alone because “the technology has also proven itself to have great promise in the field of digital currency and payments, with the most successful cryptocurrencies in the world built using the platform and many businesses using some type of blockchain system for inter-company transactions.

Full stack blockchain development is one of the processes that banks and finance firms are exploring to deliver more innovative products to customers. Building private blockchain platforms and networks without interdependency is one application that developers should explore.

Full-stack developers with skills and experience in creating decentralized applications and enterprise architecture can efficiently work on Blockchain application development.

Conclusion 

Full stack developers should track these trends because even a minor technological shift creates challenging opportunities to move up the career ladder. Focus on learning skills to provide solutions within the scope of these trends. Full stack development in emerging technologies might not be easy, making it a more satisfactory venture.

Talent500 is a platform for full stack developers to explore global opportunities at some of the fastest-growing startups and Fortune 500 companies. Sign up here to know more.

 

Scope for iOS app development in 2023

After Android, iOS is the most extensive mobile operating system. It will have a market share of 27.73% in 2022, gradually increasing due to the popularity of iPhones. As the demand for Apple devices is rising, the iOS development market is simultaneously booming. Businesses recognize the importance of mobile presence and to be included in the larger global picture of digital presence, they look for highly skilled iOS developers.

This article explores the scope of iOS app development in 2023.

1. Swift will dominate the industry 

Swift is a programming language developed by Apple in 2015. It was created as a modern alternative to Objective-C for iOS app development. Developers are proactively adopting Swift for its simplified approach to app development. This programming language creates more stable iOS apps and is well-documented. Any iOS developer can learn the syntax and master Swift effortlessly. Even the community is optimistic about the growth of Swift, which is why there are twice as many Swift developers as Objective-C developers. As Apple extends the support of the programming language for various platforms, including iOS, watchOS, and tvOS, we can expect its continued expansion in 2023.

2. It’s quicker to develop iOS applications

Another reason iOS development is poised to grow in 2023 is its faster and cheaper development cycle compared to Android applications. According to market surveys, building iOS applications is 30-45% less time-consuming and more affordable than building Android applications. The significant difference in the development life-cycle is Swift’s use for iOS development. As compared to Java-written applications for the Android platform, using Swift, iOS developers can generate the same functionality and features for fewer lines of code.

iOS applications follow the standard development protocols defined by the community, unlike Android, an open-source platform. There is no standardization, which makes Android app development longer because there are diversified components and devices for which compatibility should be addressed. But Apple’s closed ecosystem means that there are only a small number of devices and only one operating system for which the app should be standardized.

3. Security

The development of the smartphone ecosystem is also presenting some security challenges. According to Statista, in 2022, 70% of businesses were victimized by ransomware attacks. It is the highest number so far. As mentioned above, Android is an open-source platform that is more vulnerable to outside threats because of its open infrastructure and design information. 

However, Apple has kept iOS as a closed ecosystem which is why it is much more secure. Due to its inbuilt security, the platform offers an advanced and secured infrastructure to add in-app purchase features such as the use of online/debit/credit card information and personal documents. In 2016, Apple launched App Transport Security (ATS) to force developers to inherently take care of app security.

iOS devices are provided with additional security features every year, which is more frequent than any other device on the market. From an app security point of view, iOS development is at the top of the list, which is why more businesses trust iOS applications.

4. Developer tools for lowering the bar

The Android app development market is mature, with several Software Development Kits or SDKs available for developers. The iOS development industry is catching up with multiple developer tools, making it easier to build applications. Previously, the only standard SDK available for building iOS applications was the iOS SDK, the official Apple package for facilitating developers to build applications in a standardized format.

Before Software Development Kits, a developer has to build the functionality from scratch to include it in their application. 

But today, several SDKs are available that can be imported readily to include functionality in any iOS application. For instance, Facebook SDK for iOS provides services and protocols necessary to have Facebook-based features in any iOS app. Similarly, Google offers Mobile Ads SDK for iOS to enable ad integration without using any third-party application during iOS development.

The majority of the iOS application development environment, in terms of cross-functional approaches with SDKs, is significantly lowering the bar for creating sophisticated iOS apps. Easy-to-deploy tools are available that make building high-performance and secure iOS applications simpler.

Conclusion 

In 2023, the scope for iOS development remains undisputedly high. There are several reasons to consider iOS development – expanding the reach of your app to premium users who use iPhones, building highly secure and robust applications with 30-45% less investment as compared to Android app development, and induction of versatile SDKs that allow building feature enriched iOS applications with minimal lines of code.

Talent500 is a platform for iOS developers to seek global career-redefining opportunities with Fortune 500 companies and fast-growing start-ups. Sign up here and join the elite pool of talent.