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saiyam1814 merged 1 commit into from
Jul 6, 2026
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remove draft: true #249

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1 change: 0 additions & 1 deletion content/blog/controlling-mcp-tools-with-agentgateway-on-kubernetes.md
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Expand Up @@ -7,7 +7,6 @@ slug: controlling-mcp-tools-with-agentgateway-on-kubernetes
author: shubham-katara
cover: /img/blog/controlling-mcp-tools-with-agentgateway-on-kubernetes/cover.png
tags: ["kubernetes", "ai-agents", "mcp", "platform-engineering"]
draft: true
---

This is Part 1 of a two-part series. In this part you stand up **agentgateway** on Kubernetes, put a Google ADK agent behind it so the agent holds zero secrets, and enforce tool-level access control that you can watch block a tool in real time. Part 2 adds cost and observability: Prometheus, Grafana, and a live token-spend dashboard.
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1 change: 0 additions & 1 deletion content/blog/llm-costs-and-observability-with-agentgateway-on-kubernetes.md
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Expand Up @@ -7,7 +7,6 @@ slug: llm-costs-and-observability-with-agentgateway-on-kubernetes
author: shubham-katara
cover: /img/blog/llm-costs-and-observability-with-agentgateway-on-kubernetes/cover.png
tags: ["kubernetes", "ai-agents", "observability", "prometheus", "grafana"]
draft: true
---

This is Part 2 of a two-part series. In [Part 1](https://blog.kubesimplify.com/controlling-mcp-tools-with-agentgateway-on-kubernetes) you put a Google ADK agent behind **agentgateway** on Kubernetes: the agent holds zero secrets, its model and tool calls flow through one proxy, and a policy blocks any tool you have not allowed. That is the governance half. This part is the question governance cannot answer on its own: what is all of this actually costing you, and can you see when an agent misbehaves?
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