Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.

In this customer success story, ADP leaders share how Harness Feature Management enabled them to move faster, innovate safely, and scale to millions of daily users across MyADP and the ADP Mobile app. Featuring: Chris Davis, VP of Development for MyADP & ADP Mobile Josh Steverson, Principal Engineer Patrick Laughlin, Principal Application Developer The Challenge ADP relied on multiple internally built systems — different tools for mobile, web, trunk-based development, and config.

A staging environment is the final checkpoint before any software update goes live, a production-like space where bugs, performance issues, and integration failures can be caught before they impact real users. In this video, we break down what a staging environment is, why it’s critical, and how it helps ensure smooth, predictable deployments.

What does it actually take to ship AI into a 40+ year old product used by millions of professionals? In this episode of ShipTalk, Dewan Ahmed (Principal Developer Advocate, Harness) chats with Marina Petzel, Senior ML Engineer and AI Productivity Lead at Autodesk, about building and shipping practical AI, not just flashy demos.

Usability testing is a powerful method for understanding how real users interact with your product, and uncovering the friction, confusion, and hidden roadblocks that can impact the user experience. In this video, we break down what usability testing is, why it matters, and how observing real user behaviour can help teams create more intuitive, user-friendly software.

A winning variation isn’t just the version that “looks better”, it’s the version that truly and measurably outperforms the control. In this video, we break down what a winning variation is, how to determine it, and why statistical significance is essential for making confident, data-driven product decisions.

Software doesn’t go live overnight. It moves through a structured, repeatable process known as the software release life cycle — from initial planning to deployment and ongoing maintenance. In this video, we break down each stage of the release cycle: planning, development, testing, staging, deployment, and monitoring. You’ll also see how modern tools like Harness help teams automate CI/CD, feature flags, testing, and progressive delivery to ship better software faster and with less risk.

When running A/B tests, how do you know if the results are actually meaningful — or just random chance? That’s where the t-test comes in. In this video, we explain how t-tests help you evaluate whether changes in conversion rates, engagement, or performance metrics are statistically significant. You’ll learn how they work, when to use them, and why they’re essential for making confident product, marketing, and engineering decisions.

A/B testing is great — but what if you want to optimize more than one thing at a time? That’s where multivariate testing (MVT) comes in. In this video, we break down how MVT works, why it gives you deeper insights than A/B testing, and how you can use it to test multiple page or app elements at once. You’ll learn how to run multivariate tests, when to use them over A/B tests, and how Harness makes this seamless inside your CI/CD pipeline.

Harness Database DevOps has added Flyway support alongside Liquibase, offering teams a choice between structured changelogs and SQL-first migration scripts. This multi-engine approach ensures developers can use their preferred tool while benefiting from centralized governance, automated safety features, and a unified pipeline for all database changes. The goal is to make database delivery safer, more automated, and flexible across the enterprise.