Amazon Web Services (AWS) enables organizations to build and scale applications quickly and securely. However, continuously adding new tools and services introduces new security challenges. According to reports, 70 percent of enterprise IT leaders are concerned about how secure they are in the cloud and 61 percent of small- to medium-sized businesses (SMBs) believe their cloud data is at risk. AWS provides many different security tools to help customers keep their AWS accounts and applications secure. In fact, there was significant focus on AWS security best practices at re:Invent 2020. See the Best practices with Amazon S3 recap and Jeremy Cowan’s Securing your Amazon EKS applications: Best practices session for some of the details. In this article, we’ll review the top ten AWS security tools you should consider using to improve your security posture in 2021 and beyond. Before we do that, we will briefly explain AWS account security versus application and service security.  Organizations must focus on keeping both secure to protect against different types of attacks. Account Security Versus Application And Service Security AWS provides security tools designed to improve both account security and application and service security. An AWS account is an attack vector, as resources and data are accessible through the public application programming interface (API). Implementing a secure identity and access management strategy helps prevent leaking data — such as in S3 buckets — to the public. AWS’s many tools provide insights into your configured permissions and access patterns, and record all actions for compliance and audit purposes. Applications and services hosted in AWS are susceptible to different kinds of threats from the outside. Cross-site scripting (XSS), SQL injection, and brute-force attacks target public endpoints. Distributed denial-of-service (DDoS) attacks may attempt to bring down your services, potentially compromising your architecture security. Without proper management, sensitive information — such as database credentials — may leak. Therefore, it’s critical that organizations migrating to the cloud focus on minimizing risk and improving their overall security posture by addressing both account security as well as application and service security. The following AWS services lock down your cloud security, helping keep your customer data and systems safe from attack. Top 6 AWS Account Security Tools 1. AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) is a web service for securely controlling access to AWS resources. It enables you to create and control services for user authentication or limit access to a certain set of people who use your AWS resources. The IAM workflow includes the following six elements: A principal is an entity that can perform actions on an AWS resource. A user, a role or an application can be a principal. Authentication is the process of confirming the identity of the principal trying to access an AWS product. The principal must provide its credentials or required keys for authentication. Request: A principal sends a request to AWS specifying the action and which resource should perform it. Authorization: By default, all resources are denied. IAM authorizes a request only if all parts of the request are allowed by a matching policy. After authenticating and authorizing the request, AWS approves the action. Actions are used to view, create, edit or delete a resource. Resources: A set of actions can be performed on a resource related to your AWS account. Let us explore the components of IAM in the next section of the AWS IAM tutorial. To review, here are some of the main features of IAM: Shared access to the AWS account. The main feature of IAM is that it allows you to create separate usernames and passwords for individual users or resources and delegate access. Granular permissions. Restrictions can be applied to requests. For example, you can allow the user to download information, but deny the user the ability to update information through the policies. Multifactor authentication (MFA). IAM supports MFA, in which users provide their username and password plus a one-time password from their phone—a randomly generated number used as an additional authentication factor. Identity Federation. If the user is already authenticated, such as through a Facebook or Google account, IAM can be made to trust that authentication method and then allow access based on it. This can also be used to allow users to maintain just one password for both on-premises and cloud environment work. Free to use. There is no additional charge for IAM security. There is no additional charge for creating additional users, groups or policies. PCI DSS compliance. The Payment Card Industry Data Security Standard is an information security standard for organizations that handle branded credit cards from the major card schemes. IAM complies with this standard. Password policy. The IAM password policy allows you to reset a password or rotate passwords remotely. You can also set rules, such as how a user should pick a password or how many attempts a user may make to provide a password before being denied access. In the last section of the AWS IAM tutorial, let us go through a demo on how to create an S3 bucket using the multifactor authentication (MFA) feature. 2. Amazon GuardDuty Amazon GuardDuty is a threat detection service that continuously monitors your AWS accounts and workloads for malicious activity and delivers detailed security findings for visibility and remediation. These include use of compromised credentials, simplified forensics and continuous monitoring of all security events seen in an AWS customers environment. With the announcement of new Malware Production, GuardDuty will scan EBS-backed EC2 instances with malicious behavior based on GuardDuty’s existing findings and report malware detected on EC2 and containers running on EC2 and instantly send data to Trellix Helix. 3. Amazon Macie Amazon Macie is a security service that uses machine learning to automatically discover, classify and protect sensitive data in the Amazon Web Services (AWS) Cloud. It currently only supports Amazon Simple Storage Service (Amazon S3), but more AWS data stores are planned. Macie can recognize any PII or Protected Health Information (PHI) that exists in your S3 buckets. Macie also monitors the S3 buckets themselves

Google Cloud is a suite of Google’s public cloud computing resources & services whereas AWS is a secure cloud service developed and managed by Amazon. Google Cloud offers Google Cloud Storage, while AWS offers Amazon Simple Storage Services. In Google cloud services, data transmission is a fully encrypted format on the other hand, in AWS, data transmission is in the general format. Google Cloud volume size is 1 GB to 64 TB while AWS volume size is 500 GB to 16 TB. Google Cloud provides backup services, but AWS offers cloud-based disaster recovery services. What is AWS? Amazon Web Services (AWS) is a platform that offers flexible, reliable, scalable, easy-to-use, and cost-effective cloud computing solutions. AWS cloud computing platform offers a massive collection of cloud services that build up a fully-fledged platform. It is known as a powerhouse of storage, databases, analytics, networking, and deployment/delivery options offered to developers. Here are the important pros/benefits of selecting AWS web services: Amazon Web Services (AWS) offers easy deployment process for an app You should opt for AWS when you have DevOps teams who can configure and manage the infrastructure You have very little time to spend on the deployment of a new version of your web or mobile app. AWS web service is an ideal option when your project needs high computing power Helps you to improve the productivity of the application development team A range of automated functionalities including the configuration, scaling, setup, and others It is a cost-effective service that allows you to pay only for what you use, without any up-front or long-term commitments. AWS allows organizations to use the already familiar programming models, operating systems, databases, and architectures. You are allowed cloud access quickly with limitless capacity. Important features of Amazon Web Services (AWS) are: Total Cost of Ownership is very low compared to any private/dedicated servers. Offers Centralized Billing and management Offers Hybrid Capabilities Allows you to deploy your application in multiple regions around the world with just a few clicks What is Google Cloud? Google launched the Google Cloud Platform (GCP) in 2011. This cloud computing platform helps a business to grow and thrive. It also helps you to take advantage of Google’s infrastructure and providing them with services that is intelligent, secure, and highly flexible. Here are the pros/benefits of selecting Google cloud services: Offers higher productivity gained through Quick Access to innovation Employees can work from Anywhere Future-Proof infrastructure It provides a serverless environment which allows you to connect cloud services with a large focus mainly on the microservices architecture. Offers Powerful Data Analytics Cost-efficiency due to long-term discounts Big Data and Machine Learning products Offers Instance and payment configuration Important features of Google Cloud are: Constantly including more Language & OS. A better UI helps you to improves user experience. Offers an on-demand self-service Broad network access Resource pooling and Rapid elasticity AWS vs. GCP – Products and Services AWS and GCP have over 100 products and services in their catalogs that efficiently help customers work with cloud technologies. We will look at the differences between the popular services that AWS and GCP offer to their clients.  AWS EC2 vs. Google Compute Engine Compute Engine is a compute and host service that provides scalable virtual machines to clients for running their workload tasks and applications.  GCP provides four types of compute engine instances that offer specific features: General Purpose – It is used for general workloads with reasonable price and performance ratios.  Compute Optimised – It is optimized for compute-intensive workloads and offers higher performance than general-purpose instances.  Memory Optimised – It is designed for memory-intensive tasks, providing up to 12TB of memory per core. Accelerator Optimised – It is designed for parallel processing and GPU-intensive processes.  AWS: Typically, AWS provides different EC2 instances similar to the list above.  General Purpose instances provide diverse functionalities like compute, storage, and networking in equal proportions. General Purpose instances are suitable for web servers. Compute Optimised instances are ideal for high-performance tasks that require high-speed processors and are compute-intensive—for example – game servers, media encoding devices, etc.  Memory Optimised instances are optimal for situations where a large amount of data is processed in memory. These EC2 instances come to EBS optimized by default and are powered by the AWS Nitro System. Storage Optimised instances offer high sequential and random read/write operations capability. These are used primarily for workloads that perform read/write on huge data stored in local storage.  GPU/Accelerated instances are used for graphics processing and floating-point calculation that require colossal processing power. Accelerated Instances use extra processors and dedicated GPUs that boost hardware performance.  AWS Kubernetes vs. GCP Kubernetes  Kubernetes is open-source container management and orchestration system that helps in application deployment and scaling. Containers are resources that run code along with its constituent dependencies, and Kubernetes provides container management and portability with optimal resource utilization for application development. It is easier to run Kubernetes on GCP because Google has been involved in the development of Kubernetes from its inception. Elastic Kubernetes Service in AWS provides no resource monitoring tool compared to Stackdriver by GCP.  AWS Lambda and GCP Functions Serverless computing is a prevalent Function-as-a-Service example that does not require the deployment of virtual machine instances. AWS Lambda is the serverless offering from AWS, and Cloud Functions is its GCP counterpart. Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. It is also easier to run cloud functions when compared to AWS Lambda since it needs a few steps. On the other hand, AWS Lambda is faster than Google Cloud Functions by 0.102 million executions per second.  AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage. Let’s look at the features one by one: AWS S3  Each object is stored in a bucket, and one needs the developer given keys to retrieve these buckets.  An S3 bucket can be stored from a list of regions depending on the proximity, availability, latency, and

Overview Infrastructure as Code (IaC) is the managing and provisioning of infrastructure through code instead of through manual processes. With IaC, configuration files are created that contain your infrastructure specifications, which makes it easier to edit and distribute configurations. It also ensures that you provision the same environment every time. By codifying and documenting your configuration specifications, IaC aids configuration management and helps you to avoid undocumented, ad-hoc configuration changes. Version control is an important part of IaC, and your configuration files should be under source control just like any other software source code file. Deploying your infrastructure as code also means that you can divide your infrastructure into modular components that can then be combined in different ways through automation. Automating infrastructure provisioning with IaC means that developers don’t need to manually provision and manage servers, operating systems, storage, and other infrastructure components each time they develop or deploy an application. Codifying your infrastructure gives you a template to follow for provisioning, and although this can still be accomplished manually, an automation tool.  Declarative vs. imperative approaches to IaC There are 2 ways to approach IaC: declarative or imperative.  A declarative approach defines the desired state of the system, including what resources you need and any properties they should have, and an IaC tool will configure it for you.  A declarative approach also keeps a list of the current state of your system objects, which makes taking down the infrastructure simpler to manage. An imperative approach instead defines the specific commands needed to achieve the desired configuration, and those commands then need to be executed in the correct order.  Many IaC tools use a declarative approach and will automatically provision the desired infrastructure. If you make changes to the desired state, a declarative IaC tool will apply those changes for you. An imperative tool will require you to figure out how those changes should be applied. IaC tools are often able to operate in both approaches, but tend to prefer one approach over the other. Benefits of IaC Provisioning infrastructure has historically been a time consuming and costly manual process. Now infrastructure management has moved away from physical hardware in data centers, though this still may be a component for your organization, to virtualization, containers, and cloud computing.  With cloud computing, the number of infrastructure components has grown, more applications are being released to production on a daily basis, and infrastructure needs to be able to be spun up, scaled, and taken down frequently. Without an IaC practice in place, it becomes increasingly difficult to manage the scale of today’s infrastructure. IaC can help your organization manage IT infrastructure needs while also improving consistency and reducing errors and manual configuration. Benefits: Cost reduction Increase in speed of deployments Reduce errors  Improve infrastructure consistency Eliminate configuration drift How IaC Works on AWS Amazon’s market-leading, comprehensive cloud-computing platform, AWS (Amazon Web Services), combines Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and packaged Software as a Service (SaaS). It provides flexible, reliable, scalable, and easy-to-use computing power, database storage, analytics, networking, development tools, enterprise applications, and content delivery services. Launched in 2006 and built on Amazon’s internal infrastructure, AWS was also one of the first companies to introduce these services on a pay-as-you-go model. It dominates cloud computing for several compelling reasons.  Source: https://aws.amazon.com/cloudformation/ AWS covers 245 territories and countries and provides a vast array of Automated services Comprehensive functionality State-of-the-art security Cost-efficiency Scalability Performance Quick and straightforward deployment Systems integration Support and proven operational expertise.  Meet CloudFormation So CloudFormation is the AWS IaC tool that serves as an automation platform that allows you to implement services or applications without having to set up and configure each one manually, saving you considerable time and avoiding the potential for mistakes and inconsistencies. Given its ease of use and wide-ranging capabilities, CloudFormation has helped make AWS so popular with companies of all sizes and types. Domain registrar and web-hosting company GoDaddy serves as a perfect example.  Automating infrastructure management to focus on innovation With more than 78 million domain names under management, more than 19 million daily entrepreneur/users, and handling more than 300,000 DNS queries per second, GoDaddy is the largest domain registrar/web hosting company in the world. And in 2018, they decided to transform their digital architecture from the on-premises, in-house, data-center model and move everything to the cloud. In doing so, they had three core objectives: Accomplish the migration as quickly as possible. Increase how application stacks are performed and operated. Extend reliability and availability. They did precisely that when they partnered with AWS and used CloudFormation, AWS Service Catalog and AWS Systems Manager.   As a result, they could onboard and provision more than 200 accounts (more than 500 landing zones) within approximately one year, automatically provisioning each new onboard in under 2 hours. In addition, by automating the process through IaC, they saved approximately 25,000 hours and about $5,000 per account. They’ve saved more than 100 daily compute rotations just from automating the process and eliminating patching in terms of patching and updating.  This also freed up GoDaddy staff to spend more time working with and innovating for customers. But GoDaddy is by no means the only organization that benefits from IaC and AWS.  Scaling as needed to support critical applications In 2018, the Expedia Group planned to migrate 80 percent of its mission-critical apps from on-premises to the cloud. One of the world’s largest full-service online travel agencies, Expedia provides leisure and business travel services to customers around the globe. Committed to innovation and technology, Expedia began using AWS in 2010 when it launched its Expedia Suggest Service (ESS), a typeahead suggestion service that prompts customers to enter correction travel information. But ESS was not created solely for convenience. Expedia metrics showed that error pages were the greatest reason for customer site abandonment. But Expedia faced another challenge: time.  Source: https://www.ebcgroup.co.uk/news-insights/on-premises-vs-cloud On-premises data-center solutions could not compete with decentralized, automated cloud services in terms of eliminating user lag and delays. So, Expedia took to the cloud. In the case study Expedia Group Increases Agility and Resiliency

Flutter vs. React Native: In a nutshell Criteria Flutter React Native What is it? A portable UI toolkit for building natively-compiled apps across mobile, web, and desktop* from a single codebase A framework for building native applications using React Official release December 2018, Google I/O March 2015, F8 Conference Created by Google Facebook Free and open source Yes Yes Programming language Dart JavaScript Popularity 120,000 Stars on Github (May 2021) 95,300 stars on Github (May 2021) UI Flutter apps look as good on the up-to-date operating systems as they do on older versions. Since they only have one codebase, the apps look and behave similarly across iOS and Android – but thanks to Material Design and Cupertino widgets, they can also imitate the platform design itself. How’s that possible? Flutter contains two sets of widgets which conform to specific design languages: Material Design widgets implement Google’s design language of the same name; Cupertino widgets imitate Apple’s iOS design. This means that your Flutter app will look and behave naturally on each platform, imitating their native components. Application components look just like native ones (e.g. a button on an iOS device looks just like a native iOS button, and the same on Android). The fact React Native uses native components under the hood should give you confidence that, after any OS UI update, your app’s components will be instantly upgraded as well. That said, this can break the app’s UI but it happens very rarely. If you want your app to look near-identical across platforms – as well as on older versions of an operating system (as Flutter achieves) – then consider using third-party libraries (like this one). They will enable you to use Material Design components, in place of native ones. Sharing code With Flutter 2 (announced in March 2021), we can use the same codebase to ship native apps to five operating systems: iOS, Android, Windows, macOS, and Linux; as well as web experiences targeting browsers such as Firefox, Chrome, Safari, or Edge. Flutter can even be embedded in cars, TVs, and smart home appliances. (source). Perhaps the single largest announcement in Flutter 2 is production-quality support for the web. It can be used for: Progressive Web Apps (PWAs) that combine the web’s reach with the capabilities of a desktop app, Single Page Apps (SPAs) that load once and transmit data to and from internet services. Existing mobile apps – allowing Flutter apps to be run on a desktop. iOS and Android – but there are select libraries that allow you to use the same code to build iOS, Android, web, and Windows10 apps. You can also extract shared code in mobile, desktop, and web apps, to a separate repository; treat it as a separate project; then inject it in the same way as another dependency. This allows a developer to focus on writing code for a specific platform without having to consider compatibility with another one. Top apps made with this technology Xianyu app by Alibaba, Hamilton app for Hamilton Musical, Google Ads app, Philips Hue, My BMW Instagram, Facebook, Facebook Ads, Skype, Tesla Time-to-market Typically much faster than native development. Possibly as fast as development with Flutter. However… React Native uses bridge and native elements, so it may require separate optimization for each platform – a problem that widget-based Flutter doesn’t run into. It may make the app development with React Native longer. Competitive advantage Great look and feel thanks to rich widgets; Rapidly growing community, and popularity; Excellent documentation with strong support from the Flutter team (which makes it easy to start developing with Flutter); Improving Flutter for Web, offering the potential for one codebase across mobile and web platforms Difficult to beat time-to-market length Stability (5+ years on the market); Many successful, prominent market players using React Native; Mature, vast community; Easy-to-learn technology; Plenty of tutorials and libraries, which allow quick and easy development; Code can be easily reused for both web app and desktop app development. When it is not the best fit If… • Your app needs to support 3D Touch (for now, Flutter doesn’t support 3D – but it features on the Flutter team’s long-term roadmap) • The design of your app is platform-specific • Your app requires multiple interactions with an OS; or requires rare, little-known native libraries • You need a minimalistic UI, but rely on significant use of the phone hardware (e.g. an application that plays music, or only takes pictures) • You want to create an instant app (small-sized app) If your app sounds like any of the above, it’s probably better you choose native app development. Read more about these cases here >> If… • Your app needs to handle less common, or ultra-specific tasks (like calculations) in the background • You require custom communication via Bluetooth (which can be tricky to implement using React Native) • You want to create an app for Android only In truth, if you want to build an iOS app and you know JavaScript, consider React Native – but if you want an Android-only app, it’s likely better to build natively with another team. Why? Right now, iOS has better support than Android. If your app sounds like any of the above, it’s probably better you consider choosing native app development. Competitive advantage Great look and feel thanks to rich widgets; Rapidly growing community, and popularity; Excellent documentation with strong support from the Flutter team (which makes it easy to start developing with Flutter); Improving Flutter for Web, offering the potential for one codebase across mobile and web platforms Difficult to beat time-to-market length Stability (5+ years on the market); Many successful, prominent market players using React Native; Mature, vast community; Easy-to-learn technology; Plenty of tutorials and libraries, which allow quick and easy development; Code can be easily reused for both web app and desktop app development. Pros and cons of Flutter Pros of Flutter We’ll start with the pros that make Flutter the best choice for the developers. Here’s

Over the decades, website development has evolved and continues to shift rapidly. As a website owner, you need to be aware of changing website development trends. Failing to keep up with new trends can result in serious consequences for your website performance and user experience. You may fall behind your competitors and lose traffic to websites offering better experiences. Developing and maintaining your website according to ongoing trends is the best way to remain competitive in your business niche. Let’s take a closer look at the top trends in website development you can expect in 2022. 1. Progressive Web Apps (PWAs) Progressive Web Applications (PWAs) are apps built with web technologies that we probably all know and love, like HTML, CSS, and JavaScript. But they have the feel and functionality of an actual native app. Wait a minute! Native Apps, what do we mean by this? A Native App is a software application built in a specific programming language for a specific device platform, either IOS or Android. PWAs are built with the capabilities like push notifications and the ability to work offline. They are also built on and enhanced with modern APIs which makes it easy to deliver improved capabilities along with reliability and the ability to install them on any device. PWAs takes advantage of the huge web ecosystem this is inclusive of the plugins, and community and the relative ease of deploying and keeping a website contrary to a native application which is pretty difficult to develop. This means you can build a PWA quickly and easily. With its popularity many companies have shifted into the product, I tend to believe that this is because of its ability to run on an android and iOS without much difference. Some good examples of top companies who have their products as PWAs include: Twitter, Pintrest, Uber, Tiktok, Spotify, Jumia (a leading e-commerce site in Africa) etc… A common feature about this products is that they are all installable on your home screen, able to work offline from where you last left and offer a comparable experience and features to their native apps. Just like when building a native mobile app there are some expectations that should be met to make a good product for consumer use, the same thing applies to PWAs. Let’s discuss what makes a good PWA. 2. AI Chatbots In 2022, AI chatbots are expected to become even more sophisticated in meeting the needs of and matching the behavior of users by leveraging machine learning, natural language processing, and information retrieval techniques. Besides assisting companies in performing faster operations using voice or text chats, AI-enabled chatbots also help improve the customer experience. They can collect data, answer frequently asked questions, and solve other issues, thereby providing customers with seamless digital experiences with a company. Many prominent B2C companies already serve their customers with AI chatbots. According to Forbes, marketers’ use of AI increased by 190% between 2018 and 2020, many functioning within Facebook Messenger, Whatsapp, and Skype, instead of standard chatbots. We can expect more companies to embrace AI chatbots in 2022. 3. Accelerated Mobile Pages The mobile-first mindset is here to stay – the statement holds true from both the business and consumer side. To say users, consult their mobiles before making a purchase would be a gross understatement. Mobile internet usage has surpassed desktop mobile usage all over the globe. Even countries such as India, Mexico, and Indonesia have more than 4 times higher smartphone vs. desktop usage: There are 30 billion mobile moments (the moment a customer consults their phone and expects an immediate answer) every day in the US alone. This means every day your brand has 30 billion mobile opportunities to offer something to users that they want. And still mobile ad spend lags behind mobile media consumption: There is a reason why users spend more time browsing on mobile instead of buying – users crave instant gratification more when on their mobile devices. Answer this question – how long do you wait for a mobile webpage to load? According to data collected by Google and SOASTA 40% of consumers leave a page that takes longer than three seconds to load. Three seconds. That’s all the time you have to keep the attention of a user who liked your ad and clicked it. And if your webpage fails to load in the aforementioned time, you created the ad, regardless of how compelling it was, in vain. The bad news is the fact that according to data, most retail mobile sites take around 6.9 seconds to load, that’s more than double the amount of time 40% of users wait before abandoning the page. 4. Single-Page Applications Single page application (SPA) is a single page (hence the name) where a lot of information stays the same and only a few pieces need to be updated at a time. For example, when you browse through your email you’ll notice that not much changes during navigation — the sidebar and header remain untouched as you go through your inbox. The SPA only sends what you need with each click, and your browser renders that information. This is different than a traditional page load where the server re-renders a full page with every click you make and sends it to your browser. This piece-by-piece, client-side method makes load time much faster for users and makes the amount of information a server has to send a lot less and a lot more cost efficient. A win-win. 5. Optimized Voice Search Voice search optimization is the process of upgrading and streamlining the information on your pages to appear in voice searches. Voice search optimization aims to optimize your page to answer the questions for people when they conduct verbal searches. This process allows you to have a chance to get your page read by the voice search device(Alexa, Siri, OkGoogle) whenever the user asks for information related to your page. It’s no secret that voice search is on the rise. In fact, 58% of consumers use voice search to find information about a local business online. (Source: Search Engine

Web development is generally divided into two categories — Frontend development and backend development. A Backend developer is responsible for building the server-side of a web application. As the frontend part interacts with the user, the backend part is responsible for the inner working. A frontend may or may not work without a backend but to create a fully functional web application, it is necessary to have a proper backend connected with a frontend. The role of a backend developer is different from a frontend developer. A frontend developer is more focused on how the application will appear while a backend developer is focused on servers, databases, and how both ends are connected and interacting with each other. A Backend developer should have many necessary skills. Understanding backend frameworks is one of them. There are several backend frameworks and this article will discuss the top backend frameworks which are used today. The list includes the best backend framework based upon programming language and tech stack. This means you don’t need to learn all of them, instead choose the one which matches your choice of programming language and tech stack. 1. Spring Framework + Spring boot for Java Developers Java is regarded as an evergreen programming language. One of its popular use is in backend development. Spring Framework is one of the best Java frameworks. It was released in 2002 and today, it is one of the most popular backend frameworks that is used to create production-grade spring-based and standalone applications. It is easy to use Spring boot because it omits various configuration overheads which Spring Framework has. You can get a lot of useful functionalities like caching, transaction management, configuration management, monitoring, security etch when you use Spring Framework projects like Spring Boot, Spring Cloud Spring Security, etc. If you want to learn Spring Framework and Spring Boot in 2022 and need a resource, then I highly recommend you to join the Spring and Hibernate (includes Spring Boot) course on Udemy. More than 200,000 Java developers have joined this course to learn Spring, Hibernate, and Spring Boot, three of the most essential backend frameworks in Java. 2. Django for Python Developers Django is the most popular Python framework used in web development. Based on the Don’t Repeat Yourself (DRY) principle, Django focuses on code reusing, thus enhancing the development speed. It is also a very secure framework. Being a Python framework, Django is very user-friendly and easy to learn. It’s also one of the most popular full-stack frameworks and provides a lot of functionality out-of-box like REST API support. If you want to learn Django in 2022 then I suggest you join Python and Django Full Stack Web Developer Bootcamp course by Jose Portilla on Udemy. Jose is a great instructor and this 32-hour long Django course is one of the most comprehensive resources to learn Django online. 3. Express.js for JavaScript Developers JavaScript is the most popular programming language in the world. With the emergence of Node.js, JavaScript’s popularity in the backend development community increased rapidly and in the last decade, Node.js has become one of the top names. This is why Express was released in 2010 for node developers. It is a minimal Node.js framework used to develop highly flexible applications. Given that JavaScript is the most popular web development language and probably the only language which provides full-stack development from front to the backend to mobile learning Expressjs can be a great choice for programmers. If you want to learn Express.js in 2022 and need a resource, I recommend MERN Stack Front To Back: Full Stack React, Redux & Node.js course by my favorite Udemy instructor Brad Traversy, this course is great for anyone who wants to learn full-stack web development using MERN stack, which includes both React and Express.js.   4. ASP.NET core for .NET developers ASP.NET core is the successor of ASP.NET. It is an open-source, platform-independent framework used to build web applications on the .NET platform. It is regarded as one of the best-performing backend frameworks. It is basically a united version of ASP.NET MVC and ASP.NET Web API into a programming module, thus making it more powerful. If you want to learn ASP.NET core in 2022 and need a resource then I suggest you join The Complete ASP.NET MVC 5 Course by Mosh Hamedani on Udemy. This 7.5 hours course is best for C# and .NET developers who want to learn ASP .NET.   5. Laravel for PHP Programmers PHP is one of the most used programming languages in backend development. Laravel is a PHP framework that is based on MVC architecture. It is a beginner-friendly framework that has a user-friendly interface, extensive library, and brilliant API support. Using Laravel simplifies the backend development while building modern secure web applications. This is especially true if you are working on non-trivial applications. If you want to learn Larval and looking for the best online course to learn Laravel for PHP developers then you can also check out PHP with Laravel for beginners — Become a Master in Laravel course on Udemy. This 43 hours long course is one o the best course to learn Laravael online. 6. Ruby on Rails for Ruby Programmers Ruby on rails, commonly knowns as Rails is a server-side framework based on MVC architecture. It is a beginner-friendly framework that is easy to understand and learn. However, its advantages and disadvantages are still debated, but it is loved by backend developers throughout the world for being user-friendly. If you want to learn Ruby on Rails in 2022 and need a resource The Complete Ruby on Rails Developer Course by Rob Percival on Udemy is a great course to join. It has more than 46 hours of content and 157 articles, 8 coding exercises, and 1 downloadable resource. 7. Fiber Framework for Golang Developers Fiber is a web development framework for Golang programmers. It is built on top of Fasthttp, the fastest HTTP engine for Go. It’s designed to ease things up for fast development with zero memory allocation and performance in mind Fiber is a lean but extremely powerful framework. Being extremely lean, it

Humanity has come a long way when it comes to developing the internet and the force behind making it accessible in a convenient way, i.e., web development. It has experienced an exponential-level evolution from its humble beginnings of developing a static website hosted on a physical system to multi-functionality-harboring web apps stored on distant servers that we commonly use today. The best part of web development is that it will only be bigger and better from hereon. As such, it has become a lucrative career option in the surviving and thriving IT market. 1. What is Web Development? Web development refers to the building, creating, and maintaining of websites. It includes aspects such as web design, web publishing, web programming, and database management. It is the creation of an application that works over the internet i.e. websites. The word Web Development is made up of two words, that is: Web: It refers to websites, web pages or anything that works over the internet. Development: Building the application from scratch.   Web Development can be classified into two ways: Frontend Development Backend Development Frontend Development: The part of a website that the user interacts directly is termed as front end. It is also referred to as the ‘client side’ of the application. Frontend Roadmap: HTML: HTML stands for HyperText Markup Language. It is used to design the front end portion of web pages using markup language. It acts as a skeleton for a website since it is used to make the structure of a website. CSS: Cascading Style Sheets fondly referred to as CSS is a simply designed language intended to simplify the process of making web pages presentable. It is used to style our website. JavaScript: JavaScript is a scripting language used to provide a dynamic behavior to our website. Bootstrap: Bootstrap is a free and open-source tool collection for creating responsive websites and web applications. It is the most popular CSS framework for developing responsive, mobile-first websites. Nowadays, the websites are perfect for all the browsers (IE, Firefox, and Chrome) and for all sizes of screens (Desktop, Tablets, Phablets, and Phones). Bootstrap 4 Bootstrap 5 Frontend Frameworks and Libraries: AngularJS React.js VueJS jQuery Bootstrap Material UI Tailwind CSS jQuery UI Some other libraries and frameworks are: Handlebar.js Backbone.js, Ember.js etc. Backend Development: Backend is the server side of a website. It is the part of the website that users cannot see and interact. It is the portion of software that does not come in direct contact with the users. It is used to store and arrange data. Backend Roadmap: PHP: PHP is a server-side scripting language designed specifically for web development. Java: Java is one of the most popular and widely used programming language. It is highly scalable. Python: Python is a programming language that lets you work quickly and integrate systems more efficiently. Node.js: Node.js is an open source and cross-platform runtime environment for executing JavaScript code outside a browser. Back End Frameworks: The list of back end frameworks are: Express, Django, Rails, Laravel, Spring, etc. 2. Best Web Development Projects We know many people, especially students, love free courses, and that’s why we will be dividing our list into three subsections. Anyways, not anymore we will be digressing so, let’s go straight to our selection of the best 10 web development projects. A Trivia/Quiz Game Using JS (and jQuery) Objective(s): Develop a basic quiz game that presents players with predetermined questions and multiple choices, out of which only one is the correct option. It can also have a scoring system. Learning JavaScript – or some other web development technology – is one thing, and applying your knowledge of the same is another. Until you can implement what you’ve learned so far, you won’t be able to advance, whether it’s JS or some other programming language. So, it’s important to work on some projects alongside learning JS. There are several simple JS projects that you can use to test your knowledge. One such is a basic quiz game. Developing the same will help you build a robust understanding of DOM manipulation, one of the key aspects of JavaScript programming and data management. You can start with the JS quiz game by only adding a few questions, say 5 or 6. Each question will have 4 choices. You need to put a scoring system in place to make things a little enticing. Since building this game’s primary intent is to learn web development (or JS, particularly), you can easily deal with the game’s designing and styling using a simple CSS framework. A Duplicate GIPHY (Using the GIPHY API) Objective(s): Using Giphy’s API to create a web app that takes in search input and displays relevant gifs. Before you start to template data in JavaScript and display the same on the DOM, you must become well-acquainted with: The DOM manipulation, and jQuery or VanillaJS (just a fancy name referring to using plain JavaScript code) A great web development project idea that will help you check how well you’ve become in the aforementioned is to develop a replica of GIPHY, the popular online source to conveniently find GIFs scattered across all over the web. For this purpose, you need to make use of the GIPHY API. It is a beginner-friendly API as it doesn’t necessitate requesting an API key plus, you need not mull over configuration too much for requesting data. One of the major issues you will face while working on this GIPHY replica project deals with asynchronous requests. You will have two options to do it; either use Vanilla JavaScript or leverage jQuery.ajax() method. If you wish to increase the web development project’s complexity, you can plan to put data within the app and organize it. For this, you must leverage the namespacing architectural pattern for dealing with issues about scope and conflicts with closures. With the GIPHY API, you will build a compact web app that will allow users to search gifs, present trending gifs to users following a column format, and hit the “LOAD MORE” button for displaying/loading more gifs. A Basic To-Do Webapp Objective(s): Develop a basic to-do app

As a futurist, every year, I look ahead and predict the key tech trends that will shape the next few months. There are so many innovations and breakthroughs happening right now, and I can’t wait to see how they help to transform business and society in 2022. Let’s take a look at my list of key tech trends that everyone should be ready for, starting today. 1. Computing Power What makes a supercomputer so super? Can it leap tall buildings in a single bound or protect the rights of the innocent? The truth is a bit more mundane. Supercomputers can process complex calculations very quickly. As it turns out, that’s the secret behind computing power. It all comes down to how fast a machine can perform an operation. Everything a computer does breaks down into math. Your computer’s processor interprets any command you execute as a series of math problems. Faster processors can handle more calculations per second than slower ones, and they’re also better at handling really tough calculations. Within your computer’s CPU is an electronic clock. The clock’s job is to create a series of electrical pulses at regular intervals. This allows the computer to synchronize all its components and it determines the speed at which the computer can pull data from its memory and perform calculations. When you talk about how many gigahertz your processor has, you’re really talking about clock speed. The number refers to how many electrical pulses your CPU sends out each second. A 3.2 gigahertz processor sends out around 3.2 billion pulses each second. While it’s possible to push some processors to speeds faster than their advertised limits — a process called overclocking — eventually a clock will hit its limit and will go no faster. As of March 2010, the record for processing power goes to a Cray XT5 computer called Jaguar. The Jaguar supercomputer can process up to 2.3 quadrillion calculations per second [source: National Center for Computational Sciences]. Computer performance can also be measured in floating-point operations per second, or flops. Current desktop computers have processors that can handle billions of floating-point operations per second, or gigaflops. Computers with multiple processors have an advantage over single-processor machines, because each processor core can handle a certain number of calculations per second. Multiple-core processors increase computing power while using less electricity [source: Intel] Even fast computers can take years to complete certain tasks. Finding two prime factors of a very large number is a difficult task for most computers. First, the computer must determine the factors of the large number. Then, the computer must determine if the factors are prime numbers. For incredibly large numbers, this is a laborious task. The calculations can take a computer many years to complete. Future computers may find such a task relatively simple. A working quantum computer of sufficient power could calculate factors in parallel and then provide the most likely answer in just a few moments. However, quantum computers have their own challenges and wouldn’t be suitable for all computing tasks, but they could reshape the way we think of computing power. 2. Smarter Devices Smart devices are interactive electronic gadgets that understand simple commands sent by users and help in daily activities. Some of the most commonly used smart devices are smartphones, tablets, phablets, smartwatches, smart glasses and other personal electronics. While many smart devices are small, portable personal electronics, they are in fact defined by their ability to connect to a network to share and interact remotely. Many TV sets and refrigerators are also therefore considered smart devices. 3. Quantum Computing Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers.  Today, IBM Quantum makes real quantum hardware — a tool scientists only began to imagine three decades ago — available to thousands of developers. Our engineers deliver ever-more-powerful superconducting quantum processors at regular intervals, building toward the quantum computing speed and capacity necessary to change the world.  These machines are very different from the classical computers that have been around for more than half a century. Here’s a primer on this transformative technology. For some problems, supercomputers aren’t that super. When scientists and engineers encounter difficult problems, they turn to supercomputers. These are very large classical computers, often with thousands of classical CPU and GPU cores. However, even supercomputers struggle to solve certain kinds of problems. If a supercomputer gets stumped, that’s probably because the big classical machine was asked to solve a problem with a high degree of complexity. When classical computers fail, it’s often due to complexity Complex problems are problems with lots of variables interacting in complicated ways. Modeling the behavior of individual atoms in a molecule is a complex problem, because of all the different electrons interacting with one another. Sorting out the ideal routes for a few hundred tankers in a global shipping network is complex too.  4. Datafication Datafication refers to the collective tools, technologies and processes used to transform an organization to a data-driven enterprise. This buzzword describes an organizational trend of defining the key to core business operations through a global reliance on data and its related infrastructure. Datafication is also known as datafy. An organization that implements datafication is said to be datafied. Organizations require data and extract knowledge and information to perform critical business processes. An organization also uses data for decision making, strategies and other key objectives. Datafication entails that in a modern data-oriented landscape, an organization’s survival is contingent on total control over the storage, extraction, manipulation and extraction of data and associated information. 5. Artificial Intelligence and Machine Learning As a whole, artificial intelligence contains many subfields, including: Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude. A neural network is a kind of machine learning inspired by the workings of the human brain. It’s a computing system made up of

A majority of organizations are transforming to cloud-based models to enhance user productivity, facilitate a mobile workforce, and obtain an ROI by decreasing the burden of managing IT resources. Cloud-based models like Amazon Web Services with Backend-as-a-Service (AWS Amplify) are allowing businesses across the globe to stay both current and competitive. What is a Backend-as-a-Service? Backend-as-a-Service (BaaS) is a cloud service model in which developers outsource all the behind-the-scenes aspects of a web or mobile application so that they only have to write and maintain the frontend. BaaS vendors provide pre-written software for activities that take place on servers, such as user authentication, database management, remote updating, and push notifications (for mobile apps), as well as cloud storage and hosting. Think of developing an application without using a BaaS provider as directing a movie. A film director is responsible for overseeing or managing camera crews, lighting, set construction, wardrobe, actor casting, and the production schedule, in addition to actually filming and directing the scenes that will appear in the movie. Now imagine if there was a service that took care of all the behind-the-scenes activities so that all the director had to do was direct and shoot the scene. That’s the idea of BaaS: The vendor takes care of the ‘lights’ and the ‘camera’ (or, the server-side* functionalities) so that the director (the developer) can just focus on the ‘action’ – what the end user sees and experiences. BaaS enables developers to focus on writing the frontend application code. Via APIs (which are a way for a program to make a request of another program) and SDKs (which are kits for building software) offered by the BaaS vendor, they are able to integrate all the backend functionality they need, without building the backend themselves. They also don’t have to manage servers, virtual machines, or containers to keep the application running. As a result, they can build and launch mobile applications and web applications (including single-page applications) more quickly. What is AWS? AWS (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. AWS services can offer an organization tools such as compute power, database storage and content delivery services. AWS launched in 2006 from the internal infrastructure that Amazon.com built to handle its online retail operations. AWS was one of the first companies to introduce a pay-as-you-go cloud computing model that scales to provide users with compute, storage or throughput as needed. AWS offers many different tools and solutions for enterprises and software developers that can be used in data centers in up to 190 countries. Groups such as government agencies, education institutions, nonprofits and private organizations can use AWS services. Does AWS have a Backend-as-a-Service? Yes, AWS has a BaaS and the service’s name is AWS Amplify.  AWS offers many services, and the one that is gaining momentum is AWS amplify. AWS Amplify is a full-suite collection of services specifically structured to ease the developing and launching capabilities of mobile and web app developers.  AWS Amplify makes user experience convenient by unifying the UX across various platforms. It makes full-stack development easier with its scalability and gives users the flexibility to choose the platform they want to run the app on. Most importantly, it allows users to integrate a range of functions securely and quickly with the developed app.  Now, let’s look into the features of AWS mobile backend service. Authentication AWS Amplify features a fully operated user directory and pre-designed multi-factor authorization workload to help developers create faultless onboarding flows. It also allows users to log in through various social media platforms.  Security and Storage AWS Amplify offers an easy and secured data storing option. App developers can securely sync information between various applications with the help of Amazon S3 and Amazon AppSync. Users are also allowed to synchronize easy offline procedures.  Analytics AWS Amplify allows developers to track web page metrics and user sessions for analytics. The service features an auto-tracking procedure to get access to real-time data and analyze it for gaining customer insight. Amplify supports building marketing strategies to drive customer retention and engagement.  Storage AWS Amplify manages and stores user-generated content, such as photos and videos on the cloud. All these functions are operated through a simple mechanism followed by the AWS Amplify storage module that manages user content and protects the storage buckets.  Now, let’s look into the advantages of AWS Amplify. UI-Driven AWS Amplify supports UI-driven, fast, and easy approach to developing web and mobile applications. With this modern UI component, developers do not have to code any app and the CLI processes make the app development process easier, simplifying the workflows and speeding up the app development process.  Usage-Based Payment AWS Amplify offers a usage-based payment option. Users have the authority to choose from various services. The flexible and cost-efficient feature of AWS Amplify requires its users to pay only for the services they choose. Start for Free AWS Amplify requires its users to set up a paid tier only after they achieve an optimum number of technical requirements.  Top 3 AI trends in 2024 March 27, 2024/4 Comments 2022 sparked the AI revolution, 2023 saw it infiltrate the business world, and now, in 2024, we’re at the brink… Read More Unlocking MLOps: Revolutionizing Machine Learning Operations March 8, 2024/4 Comments Hey there! Ever wondered what the buzz around MLOps is all about? Let’s break it down! MLOps, short for Machine… Read More What is Whisper API? 6 Practical Use Cases for the New Whisper API February 23, 2024/4 Comments Whisper represents a cutting-edge neural network model meticulously crafted by OpenAI, designed to adeptly tackle the complexities of speech-to-text conversions.… Read More How much does it cost to build software? December 6, 2023/2 Comments Software development costs can be assessed through various methodologies, with two prominent approaches standing out: calculating based on module or… Read More