Integrating Emerging Technologies in DevOps for Organizational Transformation
summary
Panel claims that continuous pretraining is prohibitively expensive and that most organizations will consume licensed models and use RAG over bespoke training with retrieval from corporate data stores and vector search. Concrete tools named include GitHub, Hugging Face, Pinecone, Kubernetes, Terraform, Ansible, Podman and Oracle 23c vector features. Platform engineering and internal developer platforms already exist in practice, aim to reduce cognitive load, and generally work; cloud vendors secure infrastructure but the shared security model leaves app/data controls and compliance to each organization.
AI-written summary · about
chapters (6)
- 0:00Welcome
- 11:03Emerging technologies in DevOps
- 18:11AI's impact on DevOps
- 23:48DevSecOps in AI pipelines
- 30:32Cloud-native technologies challenges
- 42:30Closing remarks
related talks
46mBeyond DevOps: How and Why Companies Converge on Platform Models
38mPlatform Engineering in the Age of AI Teammates
40mAI-Augmented DevOps with Platform Engineering
27mBeyond Platform Engineering
23mPlatform Engineering Untold Truths
28mSupport and Tools to Help You Accelerate Toward DevOps
28mWhat's Next in Platform Engineering
33mBlueprints of Innovation: Engineering Paved Paths for a User-friendly Developer Platform