AWS Elastic Beanstalk CI/CD Pipeline with Docker Containers

Project Description

We developed a monolithic web application for self-testing that consisted of several services built using React and Node. The application was designed to help users evaluate their knowledge on various topics and provide personalized feedback based on their performance. The application was developed using a monolithic architecture and deployed on AWS Elastic Beanstalk for Docker.

Project Requirements:
The main requirements of the project were as follows:

Dockerize the application: Dockerize the entire application so that it could be easily deployed and managed on AWS Elastic Beanstalk for Docker.
Implement CI/CD: Implement a CI/CD pipeline using Travis CI that would automate the deployment process and ensure that the application was always up-to-date.
Optimize delivery: Optimize the delivery process by configuring advanced DevOps technologies such as load balancing, auto-scaling, and caching.
Solution:
To meet the requirements of the project, we took the following steps:

Dockerize the application: We used Docker to containerize the entire application, including the React and Node services, databases, and other dependencies. This allowed us to easily deploy and manage the application on AWS Elastic Beanstalk for Docker.

Implement CI/CD: We implemented a CI/CD pipeline using Travis CI, which automated the deployment process and ensured that the application was always up-to-date. Whenever a new code change was pushed to the main branch on GitHub, Travis CI would automatically build and deploy the updated Docker container to AWS Elastic Beanstalk.

Optimize delivery: We optimized the delivery process by configuring advanced DevOps technologies such as load balancing, auto-scaling, and caching. This ensured that the application was highly available, scalable, and could handle large volumes of traffic.

Benefits of Docker and CI/CD Techniques:
The use of Docker and CI/CD techniques provided the following benefits for the project:

Portability: Docker made it possible to easily deploy and manage the application on any platform, making it highly portable.

Consistency: Docker ensured that the application environment remained consistent across different deployment environments, reducing the likelihood of bugs and errors.

Automation: CI/CD techniques automated the deployment process, reducing the amount of time and effort required to deploy the application.

Reliability: CI/CD techniques ensured that the application was always up-to-date, reducing the risk of downtime and ensuring a high level of reliability.

Scalability: The use of advanced DevOps technologies such as load balancing and auto-scaling ensured that the application was highly scalable and could handle large volumes of traffic.

Project Solution

To meet the client’s requirements, we took the following steps:

Data migration: We started by analyzing the structure of the old system and mapping the data to the corresponding modules in Odoo 15. We then created a plan for the migration and used the in-built migration tool in Odoo to transfer the data. The migration process was complex, and we had to develop custom scripts to transfer some of the data. We ensured that all the data was migrated accurately and without any loss.

Taxation integration: We integrated the new system with taxation by configuring the tax rules and settings in Odoo. We ensured that the tax calculations were accurate and compliant with the regulations.

Optimization: We optimized the Odoo server by configuring it to work efficiently with the available resources. We used the latest version of nginx as the web server and implemented SSL to ensure that all communication with the server was secure. We optimized the Odoo workers and database to improve its performance.

Results:
The Odoo migration project was a success. We were able to transfer all the data from the old system to Odoo 15 without any data loss. The new system was integrated with taxation, ensuring that the tax calculations were accurate and compliant. The optimization of the Odoo server resulted in improved performance and faster response times, which enhanced the user experience.

Conclusion:
The Odoo migration project for Baklava Palace was a complex project that required expertise in Odoo, data migration, taxation, and server optimization. We were able to meet the client’s requirements and deliver a secure and optimized Odoo installation. The client was satisfied with the results and has continued to use Odoo for their inventory management, order processing, and accounting.