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Why use NEXT.JS?

By :

Web development starts with index.html. The major components of web development are HTML, CSS, and Javascript(JS). HTML is used to interact with users, CSS is used for styling HTML elements and Javascript is to run the process in the background.

With JS, we can create/read/update/delete HTML elements. React is an open-source JS framework library that can be used to implement component-based development where the entire website is split into small components(JSX) like building blocks for re-usability, processes based upon life-cycle events, easy maintenance, etc. React will convert components into plain JS to render components in the browser.


Source: https://developer.ibm.com/tutorials/wa-react-intro/

Client Side Rendering:

Client Side Rendering(CSR) is a mechanism in which the JSX render mechanism is completely run at the browser level. Virtual dom is the mechanism created by React which will be handled in the system memory before it renders in the actual dom. So the mechanism will process the following steps,

  1. React source will be built from actual source code for better performance. The Built source code will be placed on the server.
  2. When a client requests the server, then the entire source will be downloaded from the server and cached in the browser.
  3. On every user interaction other than the backend server request, every page render will happen on the browser as client-side rendering.
  4. Libraries used for routing and state management are being handled at the client level.

Server Side Rendering


Server Side Rendering 

Server Side Rendering(SSR) will serve the website with ready-to-be-rendered HTML on the browser. So when there is a request to the server, the component will be rendered on the server side and it will give the data to the browser to render on the web page. It will reduce half of browser performance as it is being handled on the server. So the lifecycle of ssr will be like this,

  1. The server will be ready to serve pre-rendered HTML content from React component.
  2. The client sends a request to the server.
  3. On every request, the server will render components and give the HTML-rendered page as a response along with JSON data and required JS files.
  4. On the browser side, non-interactive content which is plain HTML will be shown to the client as the initial phase, and after that hydration will happen with the existing rendered page to make it interactive by the client.

CSR vs SSR

  • SSR servers pre-render HTML that will support fast loading on the client browser. And also it will reduce usage of system memory as most of it is handled on the server.
  • Let’s consider a scenario where a page has to display and before that, we need to collect details from the backend server. In that case, SSR has a high hand compared to CSR. SSR will make a call through VPC in its private subnet and collect the required details from the backend server. So the data communication time will be reduced, and the page will be rendered on the server and shared with the client.
  • When it comes to a simple website with minimal data processing, CSR will have higher performance as all the libraries, CSS and HTML are already cached in the system. It will quickly render on the virtual dom and present to the client.

Search Engine Optimization

Most organizations come to SSR mechanism only because of high support for SEO. Search engines like Google will crawl through the website to collect the details. So when the user searches on the website, it will appear in the list. SEO works the same for both CSR and SSR. But it will help to improve the other web performance vital metrics such as page load time etc and also increase the web rankings.

Security

When it comes to CSR, all the secured details will be sent from the backend and it will be used to perform follow-up operations. Those operations can be controlled with SSR to give a rendered page by keeping secret data in the server.

How to find CSR or SSR:

Checking whether the website is CSR or SSR can be done by viewing the website source. If it is SSR, then the source will have the rendered pages. If it is CSR then the page will have a simple body just like below,

If the page is rendered with SSR, then we can see the complete rendered HTML page in the source. To view the source, we can either right-click on the website and choose view source option or add the view source key before the website like,

Why Next.JS?

Next.JS is a structured framework that builds for SSR and keeps React as its core. It gives support to routing, image optimization, font optimization, etc., as default. Next.JS is an open-source framework that acts as a middle layer to connect the client and server.

Nest.Js

With Next.JS, the team can build a fully performant web application and configure web applications as per the business requirements. The features supported by the Next.JS team

Kickstart on Next.JS

With the latest Node environment, kickstarting any framework/library has become very easy. The steps go like this,

  1. Install NodeJS.
  2. Open the command prompt and navigate to the respective folder location where we want to create a setup for the Next.JS project and one command is all it takes to kickstart on Next.JS. In the following command, it will create next.js-blog folder.
  1. Navigate to next.js-blog using the command, 
  1. Start the development using the following command and it will open the URL localhost:3000 in the browser.

Micro-frontend

Micro-frontend is the mechanism that will help us to develop an entire application into multiple pieces. So the team can be divided and work on their module without disturbing other modules.

Some of the key benefits of micro-frontend,

  • Technology Agnostic
    • Not completely depend on any framework/library/technology. Based on the system requirements, we can wisely choose to align with the system
  • Isolate module
    • Team can develop their particular module instead of having a dependency on the entire website. So the development, testing, and deployment can be taken at their convenience.
    • One major issue that we’ll face is to avoid duplication. So the components have to be moved to a common module and have to be used everywhere etc. CSS duplication can be avoided with complete tailwind CSS integration. So a decision has to be made on every part of the development for the integration of shared pieces on every module.
  • Testing
    • Testing will be easy as we isolate modules. So the regression testing process will occupy less time for the testers. Building automation testing will be very easy as we’re developing only for a particular module.

Conclusion

Like many developers advised, it all goes with business requirements. Carefully consider all the business requirements before making major decisions on the technical architecture such as choosing SSR or CSR micro-frontend or monolithic or micro-frontend etc. One extra thing is to keep everything aggregated. Even if the business requirements change, we can reduce the amount of time for the migration.

About the Author: Naren is working as a Senior Technical Lead at Mantra Labs. He is interested in creating good architecture and enjoys learning at every step.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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