Deepika Vaishnave
Deepika Vaishnave is an Associate Test Architect with over 11 years of experience in test automation, agile development, and continuous quality engineering. She specializes in designing and scaling automation frameworks using Cypress, Playwright, and Datadog, integrating observability into QA pipelines to make testing measurable, visible, and intelligent. Her focus is on transforming QA from a validation function into a data-driven decision system that accelerates release confidence and minimizes flakiness.
Passionate about bridging QA, DevOps, and AI-based monitoring, she builds adaptive quality ecosystems that learn and evolve. Deepika has been recognized by the Agile Testing Alliance, winning the AutomATAhon 2024 Hackathon and finishing as runner-up in 2023. She is known for her leadership, innovation, and commitment to mentoring teams in observability-driven testing and quality transformation.
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In this session, Deepika will share how she unified synthetic monitoring, real user metrics (RUM), and AI-based observability to create an intelligent QA system using Datadog. Traditional testing often stops at pre-release validation—but true quality extends into production. She will demonstrate how integrating Cypress test results, performance signals, and user behaviour into a continuous feedback loop enables real-time dashboards and smarter release decisions.
Attendees will see practical use-cases of AI-driven anomaly detection, flaky test analysis, and risk-based insights that connect QA with DevOps and production monitoring. The session offers a hands-on blueprint for building modern QA practices that are adaptive, production-aware, and data-driven—helping teams observe, learn, and deliver software with measurable confidence and business impact.
