Systems | Development | Analytics | API | Testing

Never before have the promises and perils of enterprise innovation been so great. An entire class of innovation built on AI creates enormous potential for delighting customers, igniting productivity and launching new offerings. But these opportunities are coupled with evolving risks, while mature enterprises must manage a broad portfolio of systems and applications. How will your DevOps teams quickly capitalize on the promises while mitigating new risks and tending to a more complex technology landscape?

Hosted By: What is the impact of development velocity? One of the leading financial services companies reduced test execution time from 6 days to 36 hours, equating to 4x time savings. The pressure to innovate quickly and keep up with competitors is real. Watch Marc Hornbeek, CEO of Engineering DevOps Consulting and author of Engineering DevOps, and Marcus Merrell, Principal Technical Advisor at Sauce Labs, for a discussion on innovation velocity and to learn how DevOps teams are iterating quickly so they can focus on delivering innovative software.

Learn how Speedscale Ephemeral Environments can simulate production conditions and data in a cluster or even locally on your laptop. Speedscale is different from other ephemeral environments since it automatically generates environments modeled after real traffic. This is enabled by sidecars and operators, backended with a sanitized cloud data warehouse.

The 2024 DORA report had interesting findings on the impact of AI development. But some statistics were surprising. Listen to Speedscale CTO Matt LeRay break down why some of this news makes sense and others are surprising, with research from other sources.