Accelerate diagnosis with Gemini Cloud Assist


Troubleshooting complex Google Kubernetes Engine (GKE) issues can be time-consuming, even with standard tools. Deciphering cryptic error messages or identifying subtle patterns in logs and metrics often requires deep expertise.

Use this page to see how Gemini Cloud Assist accelerates the diagnosis of complex problems by analyzing error messages, recommending solutions, and performing automated investigations to help you find the root cause faster.

This information is important for Platform admins and operators seeking to quickly understand and resolve cluster or node-level issues, for Application developers needing to debug application errors and interpret complex stack traces, and for Security specialists looking to use AI-powered analysis to identify potential security-related anomalies or misconfigurations. For more information about the common roles and example tasks that we reference in Google Cloud content, see Common GKE user roles and tasks .

Access Gemini Cloud Assist

To access Gemini Cloud Assist, complete the following steps:

  1. In the Google Cloud console, go to any page.
  2. In the Google Cloud console toolbar, click spark Open or close Gemini Cloud Assist chat.

    The Cloud Assistpanel opens. You can click example prompts if they are displayed, or you can enter a prompt in the Enter a promptfield.

Explore example prompts

To help you understand how Gemini Cloud Assist can help you, here are some example prompts:

Theme Scenario Example prompt How Gemini Cloud Assist can help
Confusing error message
A Pod has the CrashLoopBackoff status, but the error message is hard to understand. What does this GKE Pod error mean and what are common causes: panic: runtime error: invalid memory address or nil pointer dereference ? Gemini Cloud Assist analyzes the message and explains it in clear terms. It also offers potential causes and solutions.
Performance issues
Your team notices high latency for an app that runs in GKE. My api-gateway service in the prod GKE cluster is experiencing high latency. What metrics should I check first, and can you suggest some common GKE-related causes for this? Gemini Cloud Assist suggests key metrics to examine, explores potential issues (for example, resource constraints, or network congestion), and recommends tools and techniques for further investigation.
Node issues
A GKE node is stuck with a status of NotReady . One of my GKE nodes ( node-xyz ) is showing a NotReady status. What are the typical steps to troubleshoot this? Gemini Cloud Assist provides a step-by-step investigation plan, explaining concepts like node auto-repair and suggesting relevant kubectl commands.
Understanding GKE
You're unsure about a specific GKE feature or how to implement a best practice. What are the best practices for securing a GKE cluster? Is there any way I can learn more? Gemini Cloud Assist provides clear explanations of GKE best practices. Click Show related contentto see links to official documentation.

For more information, see the following resources:

Use Gemini Cloud Assist Investigations

In addition to interactive chat, Gemini Cloud Assist can perform more automated, in-depth analysis through Gemini Cloud Assist Investigations. This feature is integrated directly into workflows like Logs Explorer, and is a powerful root-cause analysis tool.

When you initiate an investigation from an error or a specific resource, Gemini Cloud Assist analyzes logs, configurations, and metrics. It uses this data to produce ranked observations and hypotheses about probable root causes, and then provides you with recommended next steps. You can also transfer these results to a Google Cloud support case to provide valuable context that can help you resolve your issue faster.

For more information, see Gemini Cloud Assist Investigations in the Gemini documentation.

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