கூகிளுடன் 2025 AI ஏஜென்ட்கள் பயிற்சி வகுப்பு: நாள் 5 - முன்மாதிரியிலிருந்து உற்பத்திக்கு

This episode of Exploring Modern AI in Tamil podcast provides a step-by-step guide for moving an agent from a notebook to production.

- Includes cost management tips

- Details the CI/CD pipeline steps

- Explains how to integrate long-term memory using Memory Bank.

- Outlines key quality checks needed before final deployment.

- Focuses on operational best practices for monitoring and cleaning up production agent resources.

- Explains how to use Memory Bank to preserve user preferences across different sessions.

- Suggests methods for scaling from one to many concurrent user instances.

- Outlines strategies for managing multi-region deployment availability.

- Discusses A2A protocol patterns for cross-framework and cross-organization agent communication.

- Defines roles and process workflows for cross-functional AI development teams.

- Defines evaluation metrics to serve as a formal quality gate before deployment.

- Contrasts the performance of local sub-agents against remote agents using A2A.

- Highlights techniques for using scaling policies to manage traffic spikes effectively.

- Describes how to implement robust health checks for identifying failing agent instances.

- Explains how to choose between containerized, serverless, or Kubernetes deployment platforms.

- Outlines communication processes for teams working on different parts of an agent pipeline.

- Suggests documentation standards to ensure consistency across collaborative AI development workflows.