Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(7)

Customer Journey(16)

Design(39)

Solar Industry(7)

User Experience(62)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(48)

Backend(32)

Dev Ops(8)

Enterprise Solution(28)

Technology Modernization(4)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(36)

Insurtech(63)

Product Innovation(54)

Solutions(21)

E-health(11)

HealthTech(23)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(139)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

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.

Cancel

Knowledge thats worth delivered in your inbox

Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot