Best Stack for SAAS

Hi guys,

I'm trying to build a SAAS application but am trying to figure out what the best and most scalable stack is to build upon.

Thanks in advance.

 

I don't have a popular SAAS application yet but from experience with IT companies, I can tell you that the technology stack you use should depend on the technology stack of your team.

My team is a core PHP team so we use PHP for most of our applications including Machine Learning Apps (I know people will scream "bad idea"). But Machine Learning is just maths. Not only Python can do Maths.

If your team is filled with Js Developers, consider using Node, If they use Python, then use Python. Basically, you do not want to build anything with a technology stack that is alien to your developers. You'll waste time and resources.

This same advice also applies if you are a lone developer.

 

• Programming language: Python
• DB: MongoDB
• Queuing system: RabbitMQ
• Hosting: AWS / EC2 / Web Storage S3

 

I think you can use this:

• frontend - react
• backend - ruby on rails

 

@achugg Use any stack. Just learn it well and you should be able to do anything.
Find the programming language you like and use the stack it is associated with. There is Javascript, PHP, Python and others.

 

Based on some recent research... I think this is the most scalable. Thank you.

 

can anyone explain what is stack?

 

It's a business term derived from a memory architecture, that helps functions to process data during runtime.

 

If you are looking for the best solutions on SAAS. I can suggest the best ruby on rails web developer company in USA - jetruby

 

If you would like to go ahead with Php then you can consider frameworks like 'Laravel' ,If Python is your choice then 'Django' is the best option.

 

Building a Software as a Service (SaaS) application requires careful consideration of various factors, including scalability, performance, reliability, and development efficiency. Here's a recommended stack that balances performance, scalability, and developer productivity:
Backend Framework: Node.js with Express.js or Django with Python are popular choices for building the backend of a SaaS application.
Database: For relational databases, PostgreSQL is often preferred due to its advanced features, scalability, and extensibility.
Frontend Framework: React.js is widely used for building interactive user interfaces in SaaS applications.
Cloud Infrastructure: Leveraging cloud services such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) can provide scalability, flexibility, and cost-effectiveness for hosting your SaaS application.
Containerization and Orchestration: Docker is commonly used for containerization, allowing you to package your application and its dependencies into lightweight, portable containers.
Authentication and Authorization: Consider using OAuth 2.0 or OpenID Connect for authentication, along with role-based access control (RBAC) or attribute-based access control (ABAC) for authorization.
Monitoring and Logging: Utilize tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, and Kibana) for monitoring, logging, and observability.

 

There's no single "best" stack for SaaS, as the ideal choice depends on your specific needs. However, popular and scalable options include:

• Frontend: React, Angular, or Vue.js - all offer great performance and flexibility for building user interfaces.
• Backend: Python (Django/Flask), JavaScript (Node.js), or Java (Spring) - each with strengths in scalability and developer availability.
• Database: For structured data, consider PostgreSQL or MySQL. For more flexible data models, MongoDB is an option.

Remember, cloud platforms like AWS, Google Cloud, or Azure offer excellent infrastructure for deploying and scaling your SaaS application.

 

common elements and considerations to help you pick the right tools:



Front-End (Client-Side):

• Popular Frameworks: React, Angular, and Vue.js are the leaders, each with strengths:
  • React: Flexible, large community, good for complex UIs.
  • Angular: Structured (MVC architecture), well-suited for large-scale enterprise applications.
  • Vue.js: Lightweight, easy to learn, good for rapid prototyping.
• Other Considerations: Consider factors like team expertise, project complexity, and desired user experience.

Back-End (Server-Side):

• Programming Languages: Popular choices include Python (Django, Flask), Java (Spring), PHP (Laravel), Node.js (Express.js). Each has its advantages:
  • Python: Easy to read and write, good for rapid development (Django) or flexibility (Flask).
  • Java: Robust, mature, ideal for large-scale applications (Spring).
  • PHP: Established, big community support (Laravel).
  • Node.js: Efficient for real-time applications (Express.js).
• Databases: Choose between SQL (structured data) and NoSQL (flexible data) depending on your needs:
  • SQL: MySQL, PostgreSQL - good for relational data.
  • NoSQL: MongoDB - good for unstructured or frequently changing data.

DevOps and Cloud:

• DevOps Tools: Streamline development and deployment (Terraform, Docker, Kubernetes).
• Cloud Platforms: Consider scalability and cost (AWS, Google Cloud Platform, Microsoft Azure).

Additional Considerations:

• Machine Learning/AI: Can enhance user experience and functionality (TensorFlow, PyTorch).
• Microservices Architecture: Breaks down complex applications for better scalability and maintainability.

Making the Choice:

• Evaluate your project requirements: Consider factors like features, scalability needs, and development team expertise.
• Research each technology: Explore pros, cons, and learning curve for each option.
• Start small and iterate: Don't be afraid to adapt your tech stack as your SaaS evolves.

By carefully considering these factors, you can choose a tech stack that effectively meets your specific SaaS development needs.