Cost-Effective Deployment of Angular + Spring Boot + PostgreSQL Application on AWS

To deploy your Angular + Spring Boot + PostgreSQL application on AWS with optimal cost-effectiveness, consider the following suggestions:

1. Use AWS Elastic Beanstalk for your Spring Boot backend:

   • Elastic Beanstalk provides an easy-to-use service for deploying and scaling web applications.
   • It can automatically handle capacity provisioning, load balancing, and application health monitoring.
   • Choose the appropriate instance type and size to match your application's needs.

2. Host your Angular frontend on Amazon S3:

   • S3 is a highly cost-effective solution for static website hosting.
   • Use Amazon CloudFront as a content delivery network (CDN) to improve performance and reduce latency.

3. Utilize Amazon RDS for PostgreSQL:

   • RDS offers managed database services, reducing administrative overhead.
   • Choose the appropriate instance size based on your current needs.
   • Consider using RDS Reserved Instances for long-term cost savings if you have predictable workloads.

4. Implement auto-scaling:

   • Use Auto Scaling groups for your Elastic Beanstalk environment to automatically adjust capacity based on demand.
   • This ensures you're only paying for the resources you need at any given time.

5. Leverage the right pricing model:

   • Use On-Demand Instances for variable workloads during development.
   • Consider Spot Instances for non-production environments to save up to 90% compared to On-Demand prices.
   • As your usage becomes more predictable, explore Savings Plans or Reserved Instances for long-term savings.

6. Optimize storage:

   • Use Amazon EBS gp3 volumes instead of gp2 for better performance at a lower cost.
   • Implement lifecycle policies on S3 to automatically move infrequently accessed data to cheaper storage tiers.

7. Implement proper tagging and monitoring:

   • Use cost allocation tags to track and manage your AWS spending.
   • Set up AWS Budgets to get alerts when costs exceed predefined thresholds.
   • Regularly review your usage with AWS Cost Explorer to identify areas for optimization.

8. Turn off non-production resources when not in use:

   • Implement automated start/stop schedules for development and testing environments.
   • This can lead to significant savings, especially during non-working hours and weekends.

9. Use AWS Free Tier offerings:

   • Take advantage of the AWS Free Tier for eligible services during your development phase.

10. Continuously optimize:

    • Regularly review new AWS services and features that could help reduce costs.
    • Be proactive in decommissioning unnecessary resources or components.

By implementing these strategies, you can significantly reduce your AWS costs while maintaining the performance and scalability needed for your Angular + Spring Boot + PostgreSQL application. Remember to continuously monitor and adjust your resources as your application's needs evolve.
Sources
Top recommendations for optimizing costs - AWS Prescriptive Guidance
Cost Optimization Pillars - Laying the Foundation: Setting Up Your Environment for Cost Optimization
Community | Real Stories of Cost Optimization on AWS
Cost-effective resources - AWS Well-Architected Framework