Apigee Operator for Kubernetes and GKE Inference Gateway integration for Auth and AI/LLM policies
Blog post from Google Cloud
The GKE Inference Gateway, an extension of the Google Kubernetes Engine Gateway, optimizes the deployment and management of generative AI workloads by enhancing routing, load balancing, and observability. It supports dynamic Low-Rank Adaptation (LoRA) model serving and integrates AI safety checks with Google Cloud Model Armor. The gateway also allows for model-aware routing and the prioritization of latency-sensitive requests. To address enterprise demands for secure and optimized AI workloads, the GKE Inference Gateway integrates with Apigee's API management platform through the GCPTrafficExtension resource, providing comprehensive governance and monetization of Agentic APIs. Apigee's robust features, such as policy enforcement, API lifecycle management, and advanced analytics, enable organizations to effectively manage and monetize their AI services, with plans to further enhance AI policy governance, including model security and semantic caching.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 8 | 893 | 168 | 80 | -9% |
| LLM | 3 | 3,636 | 538 | 190 | -7% |
| Observability | 3 | 1,462 | 347 | 128 | -22% |
| AI Guardrails | 2 | 405 | 93 | 43 | +8% |
| AI Model Fine-tuning | 2 | 276 | 96 | 58 | -51% |
| TPUs | 1 | 63 | 15 | 9 | +31% |
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