Cloud Assist in action

Gemini Cloud Assist: A Detailed Summary

Key Concepts:

• Gemini Cloud Assist: AI-powered assistance for Google Cloud application lifecycle management.
• Application-centric approach: Managing resources and operations from the perspective of the application, rather than individual resources.
• Application Hub: A platform for managing workloads and resources in an application-centric way.
• Application Design Center: A new product for designing, deploying, and managing applications using templates and infrastructure-as-code.
• CloudHub: A new product for health monitoring and troubleshooting of applications.
• Information Providers (Agents): Integrations that use Google services to retrieve information about applications and their infrastructure.
• Terraform: Infrastructure-as-code tool used for deploying and managing cloud resources.
• IAM (Identity and Access Management): System for controlling access to Google Cloud resources.
• Golden Signals: Key metrics for monitoring application performance (e.g., latency, traffic, errors).

1. Introduction to Gemini Cloud Assist

• Leonid Yankolin, a developer relations engineer at Google Cloud, introduces the new capabilities of Gemini Cloud Assist announced at Cloud Next.
• The focus is on improving application management and operations using AI.
• The traditional resource-centric approach to cloud management introduces complexity, especially when applications span multiple projects.
• Gemini Cloud Assist aims to address challenges in application design, deployment, troubleshooting, capacity planning, and cost optimization.
• Google is placing AI at the center of the Google Cloud experience.

2. Three Pillars of Application Lifecycle Management

• Gemini Cloud Assist focuses on three key areas:
  • Design: Helping users determine the right services, their interactions, and secure architectural patterns.
  • Operations: Enabling quick mitigation of failures by identifying whether the problem lies in the application or infrastructure.
  • Optimization: Reducing operational costs and optimizing capacity management.
• Gemini Cloud Assist provides tools and best practices to complete tasks in each area.
• The goal is AI-driven application management, providing Terraform scripts for deployment and identifying problem areas.

3. Gemini Cloud Assist Architecture

• The Cloud Assist stack consists of:
  • Information Providers (Agents): Integrations with Google services like Resource Manager, Asset Inventory, and Cloud Monitoring to gather information about applications and infrastructure.
  • Application Hub: A platform for managing workloads and resources in an application-centric way.
  • New Products: CloudHub, Investigations, Application Design Center, and others that support application management.
• Developers and platform engineers can access and operate application data and resources directly, without needing to search across projects and Cloud Console UIs.
• Gemini Cloud Assist combines authoritative product knowledge, context-based resource inspections, and user input via natural language prompts and interactive UI widgets.

4. Gemini Cloud Assist Chat Demo

• The demo starts with the new version of the Gemini Cloud Assist chat (in preview).
• The chat helps perform operations on Google Cloud using natural language.
• Example 1: Creating a new MySQL database instance using a GCloud command provided by the chat.
• Example 2: Generating a Terraform script for the same operation, demonstrating context awareness.
• Example 3: Finding the IAM role required to view and download objects from Cloud Storage, along with the corresponding GCloud command. The role identified is "storage object viewer".
• The chat understands the context of the currently selected project.
• Example 4: Inquiring about the total number of virtual machines in the project. The response includes a widget linking to Asset Inventory.
• Example 5: Asking for the number of virtual machines provisioned in the US Central region (9 out of 11).
• The chat can help design a three-tier web application, providing a description and a design diagram.

5. Application Design Center Demo

• The design generated by the chat can be opened in the Application Design Center.
• Application Design Center operates at the folder level, requiring applications to be maintained within folders.
• Templates: Used to manage and share application designs with team members.
• Users can access component configurations and modify the suggested design.
• The demo uses a simplified three-tier application template.
• Applications: Represent deployable instances of a template.
• Applications require configuration, including the project, location, and attributes like environment and criticality.
• The application can be deployed once all components are initialized.
• The demo shows a pre-created and deployed application.

6. Application Hub and Observability

• The Application Hub provides an application-centric view of all components.
• Users can click on components to see metadata and linked infrastructure resources.
• Example: Viewing the Cloud Run service associated with the frontend component.
• The demo shows a simple to-do application running on the deployed infrastructure.
• Application observability allows tracking golden signals (latency, traffic, errors) for application components.
• Signals can be viewed as a list or as charts in a dashboard.
• Users can track signals at the application level or for specific components.

7. CloudHub for Health and Troubleshooting

• CloudHub provides a view of incidents and investigations related to applications.
• It operates in the same context as the application, providing quick access to dashboards and components.

8. Integration with Existing Tools

• Gemini Chat can be used to discover application-related content and resources.
• Log Explorer now supports an application-centric view, allowing users to filter logs by application and workload.
• Users can get assistance from Gemini Chat to explain log entries or initiate investigations based on specific logs.
• Gemini Chat can be used to search for resources related to component performance.
• Example: Requesting the top 95th percentile latency for the application frontend service in Cloud Run.
• Gemini Chat provides insights about resources for optimization and capacity planning.

9. Query Insights and Recommendations

• Query Insights helps analyze database performance and propose improvements.
• Recommendations provide suggestions for optimizing resources, including security recommendations.
• Users can review details, handle recommendations, or dismiss them if they are not relevant.

10. Billing Integration

• Gemini Cloud Assist is integrated into billing, providing insights based on usage.
• Usage data is available at a daily granularity.
• Gemini Cloud Assist provides a summary of billing information and allows users to ask for additional details via interactive widgets.

11. Conclusion

• Gemini Cloud Assist and new application-centric products accelerate application lifecycle management.
• Assistance is available through multiple channels, including the chat interface and specialized regions.
• The presentation covered key capabilities, but further information on cost optimization and troubleshooting investigations can be found in other I/O talks and Cloud Next materials.
• Users are encouraged to experiment with the features in their own environments.