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Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.
In this article series, we try to establish agentic AI architecture as a new type of software architecture that will likely dominate the industry for years to come. The articles, written by industry experts, cover various elements and aspects of agentic AI architecture. We aim to present the latest trends and developments shaping the new type of architecture as it enters the mainstream.
The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful memory handling, auto-scaling on dynamic traffic, and robust control plane designs, while highlighting critical guardrails, multi-region setups, and LLM-as-a-judge evaluation pipelines.
Nathen Harvey shares insights from DORA research on AI adoption in software delivery. He explains why AI acts as an amplifier, how the DORA AI Capabilities Model drives outcomes, and why engineering leaders must evolve beyond bottlenecks like code reviews to achieve sustainable productivity, reduce delivery instability, and empower developers without burning out their teams.
Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.
AI Security & Privacy Engineering Certification
Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.Online. Register now.
AI Engineering Certification
Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.Online. Register Now.
Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.Online. Register Now.
High-Performing Teams Certification
Compare team design, delivery flow, AI roles, and metrics with experienced practitioners. Online. Register Now.
Architect Certification
Distributed systems, decentralized decisions, platform engineering, and AI architecture. Online. Register Now.
QCon San Francisco
What's working across AI, architecture, and leadership, from the teams doing it. Register. Early bird ends Nov 10.
QCon AI New York
Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.Register. Early bird ends Nov 10.
QCon London
What early-adopter teams have proven in production, across 15 engineering tracks. Register. Early bird ends Nov 10.
QCon AI Boston
Learn from the decisions and trade-offs behind AI systems already running in production.Registration open.
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