Ad-tech Case Study 2024

Overview

This case study demonstrates StationOps' remarkable capability to execute complex, multi-regional deployments with speed, precision, and scalability. By deploying a sophisticated architecture that encompasses multiple services and regions, the project highlights the platform’s efficiency in handling high-volume traffic while ensuring robustness and resilience.

Key Metrics

• 1 Billion Requests Served: Achieved within the first 4 months of deployment.
• 1 Day Deployment Time: Entire setup was completed in just one day.
• $10k+ in savings: In dev/cloud engineering time.

Deployment Strategy

StationOps executed a strategic deployment that included the following components:

• 10 Services
  • Platform: AWS ECS
  • Purpose: These microservices were designed to handle various facets of the application, ensuring that each service could scale independently and respond swiftly to demand spikes.
• 1 Database
  • Platform: AWS RDS Aurora
  • Purpose: Hosted on a high-performance, scalable database engine to manage data reliably under heavy loads.
• 1 Kafka Cluster
  • Platform: AWS MSK
  • Purpose: Implemented for robust event streaming and real-time data processing, ensuring seamless communication between services.
• 3 Regions
  • Purpose: The multi-region deployment minimized latency and increased fault tolerance by distributing the load across geographically diverse data centers.
• Automated CI/CD:
  • Purpose A fully automated pipeline streamlined deployments, enabling rapid iterations and reducing the time from code commit to production release.

Project Impact

• Rapid Scalability:
  The deployment empowered the client to handle up to 1 million requests in just the first 30 days, proving the scalability and responsiveness of the StationOps platform.
• Business Agility:
  Completing the deployment in a single day allowed the client to rapidly adjust to market demands and customer needs without prolonged downtime or disruptions.
• Enhanced Performance:
  With a robust architecture in place, the client experienced a smooth and efficient handling of 1 billion requests over the first 4 months, demonstrating the platform’s ability to manage significant traffic.

Technical Insights

• Speed and Efficiency:
  The use of automation and container orchestration (via AWS ECS) enabled a streamlined deployment process, reducing manual intervention and error.
• High Availability:
  Distributing the workload across 3 regions ensured that the system remained resilient, even in the event of localized disruptions.
• Integrated Messaging:
  Implementing a Kafka cluster with AWS MSK provided a reliable event streaming backbone, crucial for real-time data handling and inter-service communication.

Timeline

• August 2024:
  The multi-service, multi-regional deployment was successfully completed for an Ireland-based ad-tech startup. This milestone not only met but exceeded the client’s expectations, showcasing the flexibility and strength of the StationOps platform.

Client Perspective

"The deployment was seamless and exceeded our expectations. StationOps enabled us to scale rapidly while maintaining top-notch performance, which has been critical to our success."
— Ireland-based Ad-Tech Startup

Conclusion

This case study reinforces StationOps’ commitment to delivering rapid, reliable, and scalable solutions. By leveraging state-of-the-art AWS services, the platform was able to deploy a complex architecture in record time, handling massive traffic volumes and providing a solid foundation for continued business growth.

Next Steps

For organizations seeking to scale their operations with efficiency and precision, StationOps offers a proven framework and a track record of success.

• Sign Up to get started with pain-free AWS deployments.
• Book a Demo to discuss how StationOps can transform your deployment strategy.