Datasheet
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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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eBook
Evolving Feature Management & Experimentation
We make the case for treating feature releases as an automated, policy-governed pipeline — not a manual developer task. We walk through the operational risks of leaving flag operations to humans, the policies and enterprise controls Harness customers use out of the box, and how ADP and DigiCert turned automated FME into measurable business outcomes — including a 105% ROI and a move from three-nines to four-nines uptime.
On-demand Webinar
Risks in AI-Native Systems: Why AI Security Is Still an API Security Problem
In this session, learn how threats affect AI systems, why limited visibility increases risk, and how to apply API security to AI environments.
Research Report
The State of AI in Software Engineering | Resources
AI-powered coding alone isn’t enough. True software delivery velocity requires end-to-end automation and intelligent governance across the entire lifecycle.
On-demand Webinar
3 Ways to Optimize Software Delivery and Operational Efficiency
Discover strategies to enhance software delivery and operational efficiency through automation, cost optimization, and reliability improvements.
The Modern Software Delivery Platform®
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