

How Heroku Is Positioned to Help Ops Engineers in the GenAI Era
9 snips Sep 5, 2024
Bob Wise, CEO of Heroku, shares insights on the transformative effect of generative AI on software development. He likens GenAI tools to adding 'infinite interns'—quickening code writing but not simplifying testing or deployment. Wise discusses Heroku's strategic shift towards automated systems and the importance of Postgres for GenAI workloads. He also highlights Heroku's migration to Kubernetes, emphasizing operational ease, much like the early successes of Kubernetes, positioning Heroku to better serve evolving developer needs.
AI Snips
Chapters
Transcript
Episode notes
Heroku's Early Container Approach
- Heroku originally had a proprietary container system called slugs, predating Kubernetes.
- It evolved by collaborating on Cloud Native Buildpacks to align with OCI container standards.
Heroku Targets Less Sophisticated Users
- Many want cloud-native benefits but lack sophisticated platform engineering teams.
- Heroku aims to provide a pre-built platform for these underserved users.
Strategic Shift to Kubernetes Base
- Heroku's replatforming onto Kubernetes replaces much of its proprietary orchestration code.
- Kubernetes' rapid evolution makes it strategically sensible to adopt rather than build a custom solution.