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Beego is Backend Developers’ Fav for 2024; but why?

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Hey there! Ever feel like wrangling backend services is a never-ending battle? Yeah, us too. That’s why we’re here to talk about Beego, a framework that could improve your backend game.

Think of it as your secret weapon for building rock-solid, efficient Go services. We’re talking clean, maintainable code that won’t leave you tearing your hair out (well, maybe a little less often). Intrigued? Let’s dive in and see what Beego brings to the table.

Beego: Your Go-To for Streamlined Backends

Beego, an open-source framework for Go, stands out for its robust features and developer-friendly design. Created by Astaxie, it follows the MVC architecture, which keeps your code organized and tidy – a lifesaver for building applications that scale and you can maintain in the long run.

Getting Started with Beego

To get started with Beego, you’ll need Go installed on your machine. Once Go is set up, you can install Beego and its command-line tool Bee:

Now, creating a new Beego project is as simple as this:

This command sets up a basic project structure with directories for controllers, models, and views, and starts a development server.

Real-Life Benefits of Using Beego

1. Routing and Controllers Made Simple:

One of Beego’s superpowers is its intuitive routing system. Imagine you need to handle requests from users. Here’s how Beego makes it easy:

In your controller, you define how to respond to the request:

This setup ensures clean and maintainable code, making it easy to manage routes and controller logic.

2. Efficient ORM for Database Operations

Beego has a built-in ORM (Object-Relational Mapper) that simplifies talking to databases. Say goodbye to mountains of boilerplate code and hello to increased productivity! For instance, managing user data becomes straightforward:

This ORM system saves you time and reduces the chances of making mistakes when working with databases.

3. Middleware and Filters for a Feature-Packed App

Beego lets you use middleware and filters, essential tools for authentication, logging, and ensuring users are sending valid data. Imagine you need to log every request for auditing purposes:

Registering this filter is simple:

Using filters and middleware makes your application more powerful and easier to maintain in the long run.

4. Secure and Hassle-Free Session Handling: 

Managing user sessions securely is crucial for any web application. Beego makes this easy for you:

With built-in session management, you can focus on building core features without worrying about the complexities of session handling.

Why Major Firms Like IBM Choose Beego

1. Scalability and Performance

Major firms like IBM require frameworks that can handle large-scale applications with high performance. Beego’s lightweight nature and efficient execution make it perfect for building scalable backend services that can grow with business demands.

2. Comprehensive Feature Set

Beego comes with a ton of tools and features right out of the box, such as ORM, session management, and middleware support. This means you don’t need to rely on a bunch of third-party libraries, keeping your development experience smooth and integrated. 

3. Strong Community and Support

Big companies like IBM need a framework with a strong support system, kind of like a backend buddy who’s always there to lend a hand. Beego offers exactly that with a thriving community of developers. Plus, there’s tons of documentation, helpful forums, and regular updates, making it a reliable choice for even the most complex projects. No more feeling lost in a sea of code! 

4. Flexibility and Ease of Use

Beego’s design focuses on simplicity and flexibility, making it easy for developers to adopt and integrate into existing workflows. This ease of use accelerates development time and reduces the learning curve, which is particularly beneficial for large teams.

Beego vs. The Rest

Beego vs. Django (Python)

  • Language: Beego is for Go, whereas Django is for Python. Go is known for its performance and concurrency, while Python is known for its ease of learning and extensive libraries.
  • Performance: Beego, leveraging Go’s concurrency model, generally offers better performance for high-load applications compared to Django (check here).
  • Community and Ecosystem: Django has a larger ecosystem and a more mature community, given its longer history. Beego’s community is growing, but it’s not as extensive as Django’s.

Beego vs. Express.js (Node.js)

  • Language: Beego uses Go, while Express.js uses JavaScript. JavaScript’s ubiquity makes Express.js popular, but Go’s efficiency can give Beego an edge in performance-critical applications.
  • Simplicity: Express.js is minimalistic, which offers great flexibility but also requires more manual setup. Beego provides more built-in features, reducing the need for additional libraries.
  • Concurrency: Go’s goroutines offer a more straightforward and powerful concurrency model compared to JavaScript’s asynchronous programming.

Beego vs. Spring Boot (Java)

  • Language: Beego is built with Go, while Spring Boot uses Java. Java has a long history in enterprise applications, which makes Spring Boot very robust but also more complex.
  • Performance: Go generally provides better performance with lower memory consumption compared to Java (check here).
  • Ease of Use: Beego’s simplicity and minimal setup can be advantageous over Spring Boot’s extensive configuration requirements.

Conclusion

Beego is a powerful framework that streamlines backend development in Go. It’s got everything you need – routing, talking to databases, security features, and more – all wrapped up in a neat package. No more wrestling with complex code or spending hours setting things up. Beego lets you focus on what matters: creating awesome features and applications that users will love.

Remember, the best framework depends on your project’s needs. But hopefully, this helps you see why Beego might be the perfect backend!

About the Author:

Piyush Raj graduated from IIT Kharagpur. He started his career with ML and AI and now works at Mantra Labs as a software developer. He likes to explore new paths in the real world or on paper in his free time through traveling and painting.

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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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