Scaling productivity with Service Runtimes at Confluent

Episode notes

In this podcast episode, Cody Ray, a Senior Engineering Manager at Confluent discusses the evolution of developer productivity and platform engineering at Confluent. He shares how his team has grown and the scaling challenges they faced. Cody explains the concept of service runtimes and how they provide a structured framework for developers to create new services. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit podcast.aviator.co

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

• Hiring top-tier talent, the importance of adopting an evolutionary mindset, and taking critical feedback to solve technical problems w/ Sergiy Nesterenko @ QuilterEngineering Founders · on engineering leadership88 / 100
• Hiring top-tier talent, leveraging open source models, and staying competitive in the age of AI w/ Benny Chen #267The Engineering Leadership Podcast · on engineering leadership86 / 100
• Less about Models; More about ArchitecturePractical AI · on Artificial intelligence85 / 100
• How Datadog Scaled Engineering Without Burning OutThe CTO Podcast with Fexingo · on Platform engineering82 / 100
• 321 | How to Build an AI App Without Coding: From Idea to App Store with Replit & Claude by Bryce Rattner KeithleyLeveraging AI · on Artificial intelligence80 / 100
• Rapid Response: OpenAI’s Critterz blowback - Director Nik Kleverov on year zero for HollywoodPioneers of AI · on Artificial intelligence76 / 100

• Code Review Is a Taste Problem | David Poll ⁨@GitHub⁩81 / 100
• Dark Factories, Cargo Cult AI, and Drunk Agents with Geoffrey Huntley76 / 100
• How AI Broke Developer Productivity Measurement with Brian Houck(DX)
• What Happens to Code Review When Agents Write the Code with Vanitha Kumar, Thoughtworks
• Multiplayer Development, AI Enablement, and the PR Review Crisis - Frances Coronel, Slack