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LAMP/MEAN Stack: Business and Developer Perspective

Currently, there are more than 1.73 billion active websites in the world, according to Internet Live Stats. Every second a new website is being created. Creating a website seems simple, but launching a website that serves some specific business purpose is tricky. When business owners approach application/web developers, they encounter jargon like LAMP/MEAN, backend/frontend, DevOps, and many more. In such scenarios, a person not accustomed to web development will either go with his instincts or the developer’s instincts or maybe cost.

Growing number of websites.

To avoid such situations here is an easy-to-understand description of the LAMP stack and MEAN stack along with their best use and related FAQs.

What is LAMP Stack?

Lamp Stack is a bundle of web development software – Linux, Apache, MySQL, and PHP. This is the foundational stack where MongoDB and Python can replace MySQL and PHP, respectively.There are four distinct layers under this architecture. Linux is the operating system and all other software applications run on top of this layer. Apache is the web server software responsible for connecting web browsers to the correct website. MySQL is the database to store, retrieve, and update data based on input queries. Finally, PHP is the web programming language. Websites and web applications run on this layer.

The Lamp Stack architecture

What is MEAN Stack?

The MEAN stack comprises MongoDB, ExpressJS, AngularJS, and Node.js. It is an open-source javascript-based software stack useful for developing dynamic web applications. Here, JSON (Javascript Object Notation) storage has completely replaced the database layer. JSON is lightweight, easy to understand, and is widely used for storing and transporting data from server to web page. 

The components of MEAN Stack-

MongoDB is a NoSQL database system. It is a cross-platform, document-oriented database program. Express is a framework to build web applications in Node. AngularJS provides a framework for frontend development with features like two-way data binding. Node.js provides a server-side javascript execution environment. 

The MEAN Stack architecture

LAMP vs MEAN : Which is Better for Startups/Businesses?

LAMP has been in use for decades and many sophisticated applications are built using LAMP stack. MEAN is relatively new, but is considered as one of the best technology stacks for developing mobile applications. However, which one to select totally depends upon the type of web application you want to build. 

LAMPMEAN
ScalabilityLAMP’s limiting factor is MySQL. During more requests, it creates a bottleneck. I.e. if there is high concurrency, MySQL fails to perform. MySQL works well when there’s a low write/read ratio. MEAN scales all the layers of frontend, backend, and database. MongoDB supports auto sharding and auto-failover. When the data on one node exceeds the threshold, MongoDB automatically rearranges the data to evenly distribute the data. 
PerformanceHorizontal scaling is not easy and high transaction loads (millions of read/write) seriously affect the performance.MongoDB is very fast, but it achieves its performance by trading off consistency (in clustered setups). Thus, MongoDB is great when you need speed and flexibility in your model and can accept minor (and relatively infrequent) data loss.
SecurityLAMP is a secure and stable platform. However, because of different client and server codebases, security is uncompromised in LAMP.MEAN is a secure and stable platform.
PrivacyLAMP applications are mostly native. Therefore, there are negligible privacy issues.Because of privacy concerns, many users disable javascript on their browser. This might break a MEAN application, since it is completely dependent on Javascript.
For example, apps like facebook cannot function properly if the user has disabled the javascript.
DevelopmentYou might require a full-stack developers team for developing an application on LAMP. For instance, you’ll need a javascript expert for frontend and PHP/Perl/Python expert for the backend. LAMP also features multiple layers of navigation with various configuration files and differing syntax.A team of javascript experts can develop end-to-end applications on MEAN.
CostLAMP might cost you more as it requires different specialists for frontend and backend development.Application development in MEAN is cheaper as you won’t need different specialists.However, the cost depends on the complexity of the project.

In short, LAMP is best for developing APIs, simple websites, and e-commerce sites. Whereas MEAN is most suitable for Tech-heavy startups, GUI focused Apps and developer teams who are proficient in javascript only.

LAMP/MEAN : What Developers Prefer?

For web applications, there are full-stack developers and MEAN stack developers. Developing an application in LAMP requires a team of developers knowing different frontend and backend technologies and/or full-stack developers. MEAN stack developers require expertise in javascript and because all other components of MEAN are compatible with JS, it is comparatively easier to develop web and mobile applications. 


LAMPMEAN
Difficulty to learnLAMP or full-stack developers need to be familiar with all the layers of web development. MEAN developers require proficiency in programming techniques like javascript and HTML and knowledge of Node.js, Express, MongoDB, and AngularJS.
TeamsIt can be challenging to switch teams in LAMP. Using javascript for both frontend and backend development provides a homogenous workflow. Thus, teams can switch from frontend to backend development and vice versa easily.
PerformanceDeveloping native applications work well on older browsers and mobile devices.MEAN applications with javascript heavy frontend might not perform in the second-world countries, where internet speed and devices are not robust.
LibrariesLAMP’s library is more mature with a number of functions to make backend development easier. For example, the REST library.
UI
UI-focused apps are easy to build in MEAN and are more intuitive. 
DatabaseYou might face scalability concerns with MySQL database.Although it is fast and capable of dealing with large databases, MongoDB is not the best platform for developing apps with complex transactions. 

Also read – 7 Ways to boost AngularJS applications!

Wrapping Up

MEAN stack mostly includes front end development components while LEAN stack comprises backend tools. You won’t find an operating system reference in MEAN, but, in fact, most MEAN applications are developed on Linux. Thus, we can say — LAMP refers to a more low-level development environment and MEAN to the high-level environment. 

It is also possible to modify the technology stacks in both LAMP and MEAN. For instance, you can use MongoDB or Cassandra with other components of LAMP. Some applications can have both stacks — LAMP for the API and MEAN for GUI. Moreover, both software stacks are compatible with the cloud. Therefore, depending on the project you can choose between the two.

We at Mantra Labs frequently encounter the client’s dilemma regarding the choice of LAMP/MEAN stack. Hopefully, this blog clarifies the myths and mysteries encircling these platforms.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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