Agentic AI Engineering Lab #4 – Cloud-Native Foundation: The Echo-Agent in a Box
Details
To build truly autonomous systems, we need to move beyond local setups. This session is about creating a stable, containerized foundation that allows us to abstract from infrastructure in future sprints.
The Plan: We will containerize a basic agent and deploy it to Google Cloud Run. This creates a repeatable environment where our results can be hosted, scaled, and accessed via stable endpoints.
This is a "Lab" session. We will:
- Show & Tell: Briefly discuss the move from local scripts to containerized services.
- Hands-on Building: Containerize a Python/FastAPI/JS/TS agent using Docker.
- Cloud Deployment: Push our images to the cloud and go live on GCP.
The Format
We run our sessions like an anthology series: Every meetup is a standalone sprint. While we often build on previous results, each session provides a complete experience and remains fully accessible to first-time attendees. This is a high-density micro-meetup limited to 6 seats.
What you'll build
By the end of the session, you'll have:
- A Dockerized Agent: A portable container containing your agent logic.
- A Cloud Deployment: Your agent running on GCP Cloud Run with a public URL.
- Foundation for the Future: An environment ready for Inter-Agent Communication (Sprint #5).
Schedule (Saturday, 10:00 - 13:00 CET)
- 10:00: Quick round of introductions.
- 10:15: Intro session: Docker, Containerization, and GCP Basics.
- 10:30: Build time: Hands-on experimentation and Cloud Deployment.
- 12:00: Live demos + technical teardown.
- 12:45: Wrap-up + takeaways.
Prerequisites
- Google Account: Essential for GCP access and project setup.
- Laptop with dev setup: Docker installed and working.
- Access to an LLM API: (Gemini, Claude, OpenAI, etc.).
- Mindset: This is a lab for engineers, not a tutorial. We learn by building, breaking, and iterating.
Logistics
- Location: We meet at my office in the Grunewald area near Martin-Luther-Krankenhaus. The exact address will be shared privately with attendees to maintain privacy.
- Capacity: Limited to 6 seats.