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Feature Management & Experimentation Done Right | Datasheet | Harness Resources

Webinar: On-Demand
Webinar: Upcoming Event

Software delivery is complex, requiring rapid, reliable feature releases. However, speed increases risk to stability and user experience, creating innovation bottlenecks.

Harness Feature Management and Experimentation (FME) is a comprehensive solution enabling faster innovation with minimized risk. Feature flags decouple code deployment from feature release, while release monitoring and experimentation provide data-driven insights into re al-world imp act for informed decisions.

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Date and Time

January 1, 2024

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On-demand Webinar
Lessons from Platform Engineering at Scale
In this webinar, Rohit Reddy from Harness shares patterns, design lessons, and insights from building a GitOps-first IaC platform using OpenTofu—the open-source Terraform fork backed by the Linux Foundation. Learn how teams can evolve from ad hoc scripts to policy-driven workflows integrated into the delivery lifecycle.
On-demand Webinar
Deploying at AI Speed: Supercharging Rollouts With Pipelines and Feature Flags
In this live webinar, DZone and Harness break down how teams are combining pipelines and feature flags to bring structure, visibility, and control back to software rollouts. You’ll learn how progressive delivery patterns help standardize releases, reduce blast radius, and make rollouts safer without slowing teams down.
On-demand Webinar
Measuring the Impact of AI in Software Development: A Data-Driven Approach
Are you truly measuring the impact of your AI investments in software development? While AI coding assistants are a game-changer for productivity and code quality, many organizations struggle to quantify their true value. Without a clear measurement framework, you can't optimize your AI strategy or justify the return on investment. Join Nathen and PB for a practical, data-driven webinar on how to measure and maximize the benefits of AI in your development pipeline. Drawing on real-world insights, you'll learn how to go beyond basic adoption metrics and measure what truly matters. In this webinar, you will discover how to: Establish a baseline: Understand your team's current performance before you implement AI. Track what matters: Identify and measure key metrics like development velocity, code quality, and developer satisfaction. Compare and analyze: Use a proven cohort-based methodology to compare AI-assisted teams with traditional workflows. Get a holistic view: Balance quantitative data with qualitative insights to build a complete picture of AI's impact. Learn how Harness Software Engineering Insights—built in collaboration with Google Cloud—provides the comprehensive framework you need to make informed, data-driven decisions and drive lasting improvements in your software delivery.
On-demand Webinar
Proving the value of platform engineering in 2025
This webinar is for engineering leaders looking to identify the best metrics and tactics for demonstrating the effectiveness of their platform engineering efforts, and ensure that improved developer experience leads to better business outcomes.

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Testing & Resilience
Feature Management & Experimentation
Testing & Resilience
Datasheet