Gemma 4 production stack: Model Armor, ADK Agents, Tracing
GCP credit → https://goo.gle/handson-ep8-lab1
Lab → https://goo.gle/guardians
Gemma 4 is deployed. Now we secure it, build an agent on it, and make it observable.
🛡️ Model Armor — scans every prompt and response for jailbreaks, PII, and harmful content via a Load Balancer Service Extension.
🤖 ADK Agent — built with Agent Development Kit, powered by vLLM, deployed to Cloud Run via CI/CD.
📊 Prometheus Sidecar — scrapes vLLM metrics: token throughput, GPU utilization, latency.
🔍 Cloud Trace — OpenTelemetry tracing through the agent, end to end.
Security. Agents. Observability. One stack. 👇
Chapters:
0:00 - Intro
8:25 - Erecting the shield of SecOps: Setup Model Armor
38:37 - Raising the watchtower: Agent pipeline
57:17 - The palantir of performance: Metrics and tracing
1:07:46 - The boss fight
1:12:30 - Wrap up
More resources:
Agent Development Kit (ADK) docs → https://goo.gle/4uflScr
Model Armor documentation → https://goo.gle/4mz57Ga
Cloud Trace documentation → https://goo.gle/4euYyCB
Watch more Hands on AI → https://www.youtube.com/watch?v=qCBreTfjFHQ&list=PLIivdWyY5sqKnJOvP89yF8t9mWuzMTcbM
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#Gemma4 #ModelArmor
Speakers: Ayo Adedeji, Annie Wang
Products Mentioned: Cloud Run, Cloud Build, Model Armor, Agent Development Kit, Cloud Trace, Gemma 4
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Chapters (6)
Intro
8:25
Erecting the shield of SecOps: Setup Model Armor
38:37
Raising the watchtower: Agent pipeline
57:17
The palantir of performance: Metrics and tracing
1:07:46
The boss fight
1:12:30
Wrap up
🎓
Tutor Explanation
DeepCamp AI