AI Agent
AI Agent is part of Logz.io's Observability IQ suite. It provides an AI-powered, chat-based interface that lets you engage in a dynamic conversation with your data. Use it to move beyond passive data viewing and get real-time insights about your metrics, anomalies, trends, and the overall health of your environment.
AI Agent is available in Explore, and as part of Kubernetes 360, and App 360.
The agent suggests a few queries you can run on your data to help you start the analysis and deep-dive, or you can type your own questions.
The answers are based on the data currently shown on your dashboard. Once you change the query, apply filters, or change the time period, any new answer from the agent will be based on the newly generated data.
You can now leverage the insights from your dialog and enhance data analysis to make informed decisions.
Using AI Agent
AI Agent is available in Explore, Kubernetes 360, and App 360. Click the AI Agent button at the top to open the interface.
Use the agent to analyze trends in latency, throughput, error rate, and HTTP status codes over time to identify patterns or anomalies that may require attention. Additionally, it can be used to compare the performance metrics of different operations and determine if any significant differences need to be addressed.
To get started with AI Agent, select one of the pre-built questions or type a custom query according to what you'd like to analyze.
Once you provide input to the agent, the dashboard's data will be shared with Claude3.
Choose data source
Depending on your analysis needs, you can refine the data source to get the most relevant insights:
- All available data - Utilize all available data, including logs and documentation.
- Using search results - Generates answers based on the data currently displayed on your dashboard, including logs, queries, filters, etc.
- User guide - Pulls information from Logz.io's user guides to answer questions about features and usage.
- Data shipping guide - Provides insights from integration and data shipping guides to assist with configuration and setup.
Some data sources may not be available in all observability tools, including Explore, App 360, and Kubernetes 360.
View chat history
History lets you review past interactions with the AI Agent, making it easier to track insights, revisit previous analyses, and maintain continuity in your investigations.
To access your chat history, open the AI Agent interface and click the History button.
AI Agent Root Cause Analyzer
Logz.io's Root Cause Analyzer (RCA) leverages GenAI to diagnose the root causes of exceptions within applications. By analyzing context and data, RCA delivers deep insights and actionable recommendations, streamlining the troubleshooting process and accelerating root cause analysis.
RCA adapts dynamically to the specific context of each problem, functioning like a knowledgeable team member who understands the nuances of the issue and provides accurate and effective analysis.
It comprehends the situation, identifies the necessary information for thorough analysis, and proactively seeks the data required.
How to use RCA
RCA is currently available to Logz.io users in the US and EU region using Explore.
To activate RCA, navigate to Explore > Exceptions. Select the exception you want to analyze, then hover over it and click AI Analyzer to activate the RCA process.
Once activated, RCA begins a multi-step process, gathering relevant information, analyzing it, and taking further actions to identify the root cause of the issue. You can click on each step to view a detailed explanation of what RCA is doing to move closer to finding the root cause.
Please note that the analysis may take a few minutes. Once completed, RCA will display its Root Cause Analysis, outlining possible causes for the issue and providing recommendations to address it or prevent it from recurring.
For further assistance with the AI Agent, read the FAQ or contact Logz.io's Support Team.