PlanItEasy’s existing AWS architecture was not optimized for scaling AI workloads, leading to:

• Performance bottlenecks: Slow response times and potential system downtime during high demand.
• High operational costs: Inefficient resource allocation led to unnecessary cloud expenses.
• Limited scalability: Inability to efficiently manage AI-powered content generation workloads.

AWS was the optimal choice for the cloud environment due to its ability to scale efficiently, allowing the system to dynamically adjust resources based on demand through auto-scaling capabilities. Its flexibility enabled seamless integration of AI services, such as Amazon Bedrock, with existing workloads, ensuring smooth operations. Additionally, AWS's built-in compliance and security features provided a robust infrastructure, reinforcing data protection and regulatory adherence while maintaining high performance and reliability.

SnapSoft designed and implemented a three-tier architecture to optimize Planiteasy’s AWS infrastructure:

AI Integration Approach

To optimize AI integration and infrastructure, the implementation leveraged Laravel AWS SDK for Amazon Bedrock, enabling direct integration within existing containers to minimize operational overhead. AI model invocation was streamlined using a sidecar Lambda function, ensuring independent compute scalability. API Gateway was employed to handle secure and centralized requests for AI-powered content generation, while Amazon S3 efficiently managed structured AI prompts for storage and retrieval.

In terms of infrastructure enhancements, the compute and frontend were separated, with the Vue.js frontend being migrated from EC2 to S3 and delivered through CloudFront to enhance performance and scalability. The backend infrastructure was reinforced with EC2 instances placed in an auto-scaling group, dynamically adjusting capacity based on demand. Security was significantly improved by implementing IAM role-based access control, Secrets Manager for secure credential management, and AWS Well-Architected best practices, ensuring a robust, scalable, and secure cloud environment.

AWS Services and Tools Used

• Amazon Bedrock – Enabled seamless AI model deployment, reducing infrastructure complexity.
• AWS Lambda – Allowed independent compute scaling, ensuring smooth AI model execution under fluctuating demand.
• EC2 Auto Scaling – Dynamically adjusted compute capacity to optimize performance and cost efficiency.
• API Gateway – Provided a secure, centralized way to manage AI-based request handling.
• AWS Secrets Manager – Strengthened security by safeguarding credentials and sensitive data.
• IAM Role-Based Access Control – Ensured secure, role-based permissions to AWS resources.
• Amazon S3 – Facilitated efficient and secure storage of AI-generated prompts.
• AWS CloudFront – Accelerated content delivery, improving frontend performance.
• AWS CloudWatch – Provided real-time monitoring, logging, and alerting for system performance.
• AWS Cost Explorer – Enabled continuous optimization of AWS resource allocation and spending.

SnapSoft’s strategic AWS implementation enabled Planiteasy to enhance AI capabilities while achieving cost efficiency, scalability, and security compliance. The optimized infrastructure ensures future growth without performance limitations.

Results and Benefits:

• Enhanced AI Performance: The optimized architecture significantly improved model response times, making AI operations more efficient and responsive.
• Greater Cost Efficiency: By leveraging AWS services strategically, operational expenses were effectively reduced, ensuring better resource utilization.
• Strengthened Security & Compliance: The implementation of IAM and Secrets
• Manager reinforced access control, enhancing security measures and regulatory compliance.
• Seamless Scalability: AI workloads became more adaptable, with Lambda-based execution enabling effortless expansion without requiring backend modifications.

Learn how SnapSoft can streamline your AWS integrations and drive strategic success for your business. For more information, visit SnapSoft.