End-of-Service Optimization of a software platform

Description: Improved the performance of real time image tagging in ESL

Features: Redesigned the Kubernetes Cluster and image tagging architecture to cater to peak traffic and elastic scaling.

Components: Custom Scripts to Identify Bottlenecks and SOPs to avoid those bottlenecks

Technology Stack: Azure Cloud Environment

Current Status: Live in One Site and further improvements are being done to improve speed

Team Size: 2

Noteworthy Achievement: Reduced Monthly cost by 35% and increased performance at peak times