Monolithic to queue-based architecture migration for a US-based software provider

Daffodil Software, in collaboration with the client, embarked on a comprehensive solutioning process to address the challenges impeding their software scalability, security, database management, and deployment efficiency. The process involved strategically utilizing a diverse set of AWS services, orchestrated by Daffodil’s DevSecOps experts.

Migrating to queue-based architecture:
To overcome the limitations of the monolithic architecture, Daffodil leveraged containerized technologies to facilitate a seamless transition to a queue-based architecture. Amazon Container Service and Amazon Redis queue played pivotal roles in segregating application components. This transformation allowed for horizontal scaling of workers, which was particularly beneficial for efficiently handling various job tasks and overcoming the scalability challenges posed by the reliance on cron jobs.

Fortifying security practices with various AWS security services:
Daffodil’s DevSecOps experts orchestrated a robust security solution. This involved the integration of Security Posture Management tools with various AWS security services. The Security Posture Management Tool (SPMT) provided the client with a centralized location to track security events and monitor their progress. AWS Config was employed for ongoing scanning of AWS resources, ensuring compliance with best practices. Additionally, Prowler, GuardDuty, and Inspector were implemented to continuously monitor security events and promptly respond to potential threats.

Database connection management leveraging Amazon RDS Proxy:
Team Daffodil utilized Amazon RDS Proxy to efficiently handle RDS connections within the system, leading to a significant reduction in system downtime and simplification of connection management. Leveraging the capabilities of RDS Proxy streamlined operations, enhancing reliability in database management. Furthermore, the default settings of RDS Proxy ensured a secure and controlled environment for database operations, aligning with heightened security practices while keeping costs in check.

Expedited deployment & improved overall efficiency:
The prolonged deployment process was tackled through the implementation of two key strategies. First, Daffodil employed cache in CodeBuild containers, significantly accelerating the deployment process. This optimization reduced the time required to deploy applications to just a few minutes. Second, AWS CodeDeploy was introduced to automate and standardize deployments. This not only resulted in faster release cycles but also significantly improved overall operational efficiency & cost-effectiveness, addressing the challenges posed by the existence of multiple stages in the deployment pipeline.