Research
Integration of microservices
The primary objective was to design and implement a robust infrastructure for an automatic workflow management system. I crafted a pipeline capable of bulk data processing by leveraging Apache Kafka, Docker, and Kubernetes. This reduced the processing time and enabled parallel processing.
🏆 Ongoing work under Dr.Fox of CS Dept VT
Experimental Analysis of Performance Metrics for Configuration of ASC
Building a fault tolerant, reliable, highly available infrastructure on AWS. To configure the Auto scaling group we performed testing on the instances with 500 users for stipulated duration and after analyzing the performance metrics, CPU utilization threshold was set at 65% for the instance to start and 80% for instance to terminate.