SDTech Achieves Faster Deployments and Scalable Advertising with DevOps on AWS

SDTech is a digital marketing firm that helps businesses deliver targeted advertising, analyze engagement, and optimize campaign performance. As the platform gained traction, SDTech faced challenges in handling growing traffic, managing deployments, and maintaining consistent performance.
TekBay Digital helped SDTech to modernize its infrastructure, automate deployments, and ensure the platform could scale reliably while maintaining operational efficiency.
Key Challenges Hindering Growth and Performance
SDTech’s platform was facing multiple obstacles:
- Storage Limitations: The application lacked persistent storage for images, making it vulnerable to data loss and scalability issues.
- Complex deployments: Managing development, staging, and production environments manually slowed release cycles and increased error risk.
- Scalability and cost inefficiencies: The platform struggled to handle fluctuating workloads, leading to performance degradation and underutilized resources.
TekBay Digital’s Strategic Approach
To address these challenges, TekBay Digital implemented a cloud modernization and DevOps strategy designed to optimize both infrastructure and deployment processes.

Key actions included:
- Infrastructure Assessment: Analyzing the existing architecture and identifying bottlenecks.
- Automated CI/CD Pipelines: Implementing GitHub Actions to streamline code deployments across multiple environments.
- Infrastructure as Code with Terraform: Ensuring consistent, version-controlled environments for repeatable, low-risk deployments.
- Cloud Architecture Optimization: Leveraging AWS services to improve scalability, reliability, and cost efficiency.
This approach ensured SDTech could deliver frequent updates while maintaining stability.
Modernized Architecture & AWS Implementation
TekBay Digital redesigned the platform’s infrastructure to improve reliability, performance, and scalability, utilizing AWS services such as IAM, S3, Auto Scaling, CloudWatch, and RDS.

- Persistent Storage with Amazon S3: Image assets were moved to S3, decoupling storage from servers to improve durability and accessibility.
- Environment Separation: Clear dev, staging, and production environments enabled safe testing and stable releases.
- Dynamic Scaling with Auto Scaling Groups: Server instances adjust automatically to traffic, maintaining performance and minimizing costs.
- Monitoring and Security: CloudWatch provides real-time monitoring, while IAM ensures secure access management.
- Managed Database with Amazon RDS: Relational data is hosted on RDS for reliability, scalability, and simplified maintenance.
Impact & Results
The project yielded measurable improvements across development and operational metrics:
- Faster Deployments: Deployment time reduced to 2–3 minutes, with changes live within 5–10 minutes.
- Increased Deployment Frequency: Achieved 10–15 production deployments per week, enabling faster feature delivery.
- Reliability Metrics:
- MTBF: ~30 hours
- MTTR: 5–10 minutes to recover from failures
- Operational Efficiency: Auto Scaling and environment separation optimized resource use, reducing costs.
- Business Agility: Rapid feature releases improved time-to-market and customer satisfaction.
Conclusion
Through TekBay Digital’s cloud modernization and DevOps implementation, SDTech’s platform transformed into a scalable, reliable, and cost-efficient system.
The integration of AWS services, Terraform, and GitHub Actions CI/CD pipelines enabled rapid deployments, robust monitoring, and seamless scaling.