Olivier Bourgeois

Architect GKE for long-running Gemini 4 Argon agent sessions using VPA CPU startup boost, GCPBackendPolicy connection draining, and session checkpointing.

Build a high-throughput model routing gateway on GKE to dynamically route requests between Gemini 4 Argon, Gemini 3.8 Flash, and local Gemma 4 models.

Automate root-cause incident triage on GKE by combining Gemini 4 Argon multi-step reasoning with the GKE Model Context Protocol server.

Run untrusted LLM-generated Python and Bash code safely at scale using Gemini 4 Argon and GKE Agent Sandbox with gVisor isolation.

Discover how the General Availability of tunable CrashLoopBackOff in GKE speeds up distributed AI/ML workloads and sidecar initialization without host-level hacks.

Offload cross-origin preflight handling and header injection to Google Cloud Load Balancing with native CORS support on GKE Gateway.

Learn how to troubleshoot and audit GKE Vertical Pod Autoscaler actions with structured decision logs in Cloud Logging.

Learn how GKE VerticalPodAutoscaler (VPA) CPU Startup Boost cuts JVM cold starts and eliminates ongoing CPU waste using in-place Pod resizing.

Learn how GKE decouples binary rollouts from API finalization to safely test and roll back Kubernetes minor version upgrades.

Take control of Kubernetes cluster upgrades with GKE rollout sequencing, custom canary stages, and declarative rollout triggers.

Discover how GKE ClusterNetworkPolicy enables platform teams to establish global security guardrails without hindering developer agility

Learn how VPA In-place Pod Resize can help seamlessly vertically scale workloads on Google Kubernetes Engine (GKE).

Learn strategies for building interrupt-resilient AI workloads on Google Kubernetes Engine (GKE).

Learn different strategies to use hard-to-get hardware accelerators with Google Kubernetes Engine (GKE).

The landscape of generative AI is shifting. While proprietary APIs are powerful, there is a growing...

Quick run-down of one of the interactive demos that was presented at Next 2025, from the architecture to the products and features showcased.

Learn how to streamline exposing AI models using LangChain and LangServe, deployed on Google Kubernetes Engine (GKE).

Quick intro on the note-taking app Obsidian, how I use it, and my takeaways.

Learn how to leverage Google Kubernetes Engine (GKE) to deploy an AI-powered LangChain application backed by an local instance of Gemma 2.

Learn how to leverage Google Kubernetes Engine (GKE) to deploy an AI-powered LangChain application backed by Gemini.

Let's learn what LangChain is, how it can help simplify development of AI-powered applications, and how to get started.