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Technical Requirements

Front-End​

The front-end of the web app will be built using NextJS, a React framework that allows for server-side rendering and static site generation. This will ensure that the app is fast and scalable.

Other front-end technologies that will be used include:

  • Tailwind CSS for styling
  • React Query for state management
  • Formik for form validation

Example of site

Back-End​

The back-end of the web app will be built using Golang, a programming language that is known for its performance and scalability.

Other back-end technologies that will be used include:

  • PostgreSQL for database management
  • Redis for caching
  • Gin for web framework

Database​

The database for the web app will be PostgreSQL. PostgreSQL is a powerful and reliable database that is well-suited for complex applications.

The database schema will be designed to support the following features:

  • User management
  • Business management
  • Tax management
  • Other features specific to the needs of underserved industries like the creator economy

Caching​

Redis will be used for caching to improve the performance of the web app. Redis is a fast and in-memory data store that can be used to store frequently accessed data.

The following caching strategies will be used:

  • Page caching: Entire pages will be cached to reduce the number of database queries that need to be made.
  • Data caching: Frequently accessed data, such as user profiles and business settings, will be cached to improve the performance of individual pages.

Deployment​

The web app will be deployed to a cloud hosting provider, such as AWS.

The deployment process will be automated using a continuous integration and continuous delivery (CI/CD) pipeline. This will ensure that the app is deployed quickly and reliably.

Sure, here is a section about using AWS and its CI/CD to scale deployments:

Using AWS and CI/CD to Scale Deployments​

AWS provides a wide range of services that can be used to build, deploy, and manage scalable web applications. These services include:

  • Amazon Elastic Compute Cloud (Amazon EC2): A web service that provides secure and resizable compute capacity in the cloud.
  • Amazon Elastic Container Service (Amazon ECS): A highly scalable and fast container management service that runs Docker containers on a cluster of EC2 instances.
  • AWS CodePipeline: A continuous delivery service that automates the steps required to release software changes continuously.
  • AWS CodeDeploy: A deployment service that automates application deployments to EC2 instances, on-premises servers, or Lambda functions.

AWS CI/CD can be used to automate the entire software development and deployment lifecycle, from code commit to production deployment. This can help to improve the speed, quality, and reliability of deployments.

Here is a high-level overview of how AWS CI/CD can be used to scale deployments:

  1. Code commit: Developers commit their changes to a code repository, such as GitHub or AWS CodeCommit.
  2. Code build: AWS CodePipeline triggers a build job to build the application code.
  3. Code testing: Unit tests and integration tests are run to ensure that the application is working correctly.
  4. Code deployment: AWS CodeDeploy deploys the application to Amazon ECS.
  5. Load balancing: AWS Elastic Load Balancing distributes traffic to the application instances.

This CI/CD pipeline can be scaled by adding more ECS instances to the application cluster. This can be done manually or automatically using AWS Auto Scaling.

AWS CI/CD also provides a number of features that make it easy to scale deployments, such as:

  • Blue/green deployments: Blue/green deployments allow you to deploy a new version of your application to a staging environment and then switch traffic to the new version once it has been tested and verified.
  • Rollbacks: If a deployment fails, you can easily roll back to the previous version of your application.
  • Monitoring: AWS CloudWatch provides monitoring tools that can be used to monitor the performance and health of your application. This information can be used to identify any potential problems with your deployment and take corrective action.

By using AWS CI/CD, you can automate your software development and deployment lifecycle and scale your deployments to meet the needs of your business.

Here is an example of how a custom SAAS app for forming businesses, managing taxes, and other features targeted towards the creator economy could use AWS CI/CD to scale deployments:

  • The application code would be stored in a code repository, such as GitHub.
  • AWS CodePipeline would be used to trigger a build job to build the application code and run unit tests and integration tests.
  • Once the build is complete, AWS CodeDeploy would deploy the application to an Amazon ECS cluster.
  • AWS Elastic Load Balancing would distribute traffic to the application instances.
  • AWS Auto Scaling would be used to automatically add more ECS instances to the cluster as needed to handle increased traffic.
  • AWS CloudWatch would be used to monitor the performance and health of the application.

This CI/CD pipeline would allow the application to scale to meet the needs of its users, even if there is a sudden increase in traffic.

Conclusion​

The technical requirements for a custom SAAS app for forming businesses, managing taxes, and other features targeted towards the creator economy are as follows:

  • Front-End: NextJS, Tailwind CSS, React Query, Formik
  • Back-End: Golang, PostgreSQL, Redis, Gin
  • Database: PostgreSQL
  • Caching: Redis
  • Deployment: Cloud hosting provider, CI/CD pipeline