Overview
This conference talk explores how Harness's Continuous Verification (CV) revolutionizes software deployment reliability through Machine Learning. Discover how traditional verification methods are being replaced by intelligent systems that can automatically detect anomalies and trigger rollbacks when needed. Learn about the core principles of ML-driven deployment verification, including time series analysis techniques, Symbolic Aggregate Approximation for metric comparison, and log clustering algorithms. The speakers explain how CV integrates with APM and logging tools to create an adaptive verification framework that improves with each deployment. The presentation covers various deployment strategies including canary deployments, blue-green deployments, rolling updates, and auto deployments. Through a technical demonstration featuring Datadog integration, understand how to implement intelligent deployment checks, reduce risks, and significantly enhance software reliability in modern distributed systems. Designed for DevOps engineers, SREs, Software Architects, and Technology Leaders with intermediate to advanced technical knowledge.
Syllabus
Continuous Verification: Transforming Deployment Reliability with Harness - DevConf.IN 2025
Taught by
DevConf