Lab 31: Choosing the Right Deployment Strategy Challenge
Goal
In this lab, you will apply the decision framework from the theory section to a series of real-world scenarios. This is a conceptual exercise to help you develop the strategic thinking needed to choose the right deployment path for your agents. There is no coding in this lab.
The Scenarios
For each of the following scenarios, read the description and decide which deployment platform is the best fit: Cloud Run, Agent Runtime, GKE, or Custom Server on Cloud Run.
Be prepared to justify your choice based on the key requirements of each scenario.
Scenario 1: The Startup MVP
- Company: A small, venture-backed startup.
- Product: A new AI-powered customer service chatbot for e-commerce sites.
- Key Requirements:
- Get a working version deployed for a pilot customer by the end of the week.
- Keep infrastructure costs as low as possible.
- The development team has minimal DevOps experience.
- Standard security (HTTPS, basic protection) is sufficient for now.
Your Task: Which platform should they choose and why?
Scenario 2: The Government Contractor
- Company: A large defense and technology contractor.
- Product: An internal agent that helps employees search through sensitive but unclassified government compliance documents.
- Key Requirements:
- The system must be FedRAMP compliant.
- All access must be strictly controlled and auditable.
- The infrastructure must be fully managed to reduce the internal operational burden.
Your Task: Which platform is the only viable choice here, and why?
Scenario 3: The FinTech Enterprise
- Company: A large financial services company with a mature IT department.
- Product: A complex system of microservice agents for financial analysis that need to communicate with each other over a private network.
- Key Requirements:
- The entire system must be deployed within the company's existing Kubernetes ecosystem.
- The security team requires fine-grained network policies to control traffic between agent services.
- Some analysis agents require access to GPU nodes for performance.
Your Task: Which platform should they use, and what are the trade-offs?
Scenario 4: The University Integration
- Company: A university's IT department.
- Product: An agent that allows students to ask questions about course availability.
- Key Requirements:
- The agent must authenticate users against the university's central LDAP directory.
- The platform should still be serverless and cost-effective.
Your Task: Which hybrid approach is necessary here, and why?
Lab Summary
You have now practiced applying a strategic framework to real-world deployment decisions. You have learned to:
- Analyze business and technical requirements to choose a deployment platform.
- Prioritize factors like speed, cost, compliance, and control.
- Understand the specific use cases for Cloud Run, Agent Runtime, GKE, and custom server deployments.
Check the lab-solution.md to see the recommended answers for each scenario.
Self-Reflection Questions
- For the Startup MVP, what are the potential downsides of choosing Cloud Run? At what point might they need to consider migrating to a different platform like GKE?
- Why is a "platform-first" security model, where you rely on the deployment environment for features like authentication and DDoS protection, generally a better approach than trying to build these features into your agent application code?
- If a new compliance requirement (e.g., PCI for handling credit card data) was introduced, how would that influence your choice of deployment platform?
🔐 Reference Solution Vault
Module 31 Reference Solution Vault
Active Comprehension Gate • Zero Guessable URLs • Guided Verification