Dishank Oza’s Post

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AWS-Certified Developer | Full-Stack Developer with a Focus on Performance | MS CSE @ Santa Clara University | Spring Boot | Java | Microservices

Optimizing AWS Step Functions: A Case Study on Reducing Latency and Cost Preview: In the world of software engineering, scalability and efficiency are paramount. One of the challenges I faced in my recent project was managing a rapidly growing user base and the associated AWS Step Functions events. This blog post details my journey in optimizing our system, reducing latency, and cutting costs. I'll also explain how I utilized AWS Database Migration Service (DMS) and Kinesis to ensure real-time event processing. Key Highlights: Reduced event count by 3000% Significant cost savings Implementation of a scalable, loosely coupled system To read more about the detailed implementation and lessons learned, read the full post on Medium.

Optimizing Event Processing in AWS: A Case Study on Reducing Latency and Cost

Optimizing Event Processing in AWS: A Case Study on Reducing Latency and Cost

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