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Predicting Differential Loss at the Edge: Lightweight ML for Real-Time Test Intelligence
Inspiration In high-throughput production environments, every sensor reading tells a story. Test systems continuously record Pressure , Temperature , and Differential Loss (DL) across thousands of cycles, but much of this data remains passive, observed but not interpreted. We set out to change that by deploying machine learning directly at the edge on a BeagleBone Black board. The goal was not anomaly detection, but live inference : to compute what the ideal DL should be (

Alisha Bhale
Oct 20, 20253 min read


Ensuring Software Quality with Regression Testing in CI/CD
Regression testing in CI/CD plays a crucial role in maintaining software quality and reliability. Re-running previously executed tests ensures that new code changes do not break existing functionality. Implementing CI/CD in GitLab Since our repository is used by multiple teams, we have implemented CI/CD at the Git level using GitLab. Our pipeline follows a structured approach, defined in a .yml file. 1. Test Stage When a merge request is created, the following steps are e

Archana Barve
Mar 24, 20252 min read


Performance Testing with NeoLoad: A Detailed Exploration of WebFocus Use Case
In today’s software-driven world, ensuring the seamless performance of applications under varying workloads is a necessity. For performance testing, tools like NeoLoad empower testers to simulate real-world conditions and optimize application behavior. In this blog, we’ll delve into the practical use of NeoLoad for WebFocus performance testing , focusing on scenarios like chart rendering, page loads, data uploads, and resource utilization. Understanding the Scope of Performa
Manasi Bansode
Jan 27, 20253 min read
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