Скачать или смотреть Querying Your Splunk Dashboard Information

Learn how to effectively query Splunk Dashboard information to list down dashboards, reports, and usage statistics, aiding in migration to Power BI.
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Querying Your Splunk Dashboard Information: A Step-by-Step Guide

When working with Splunk dashboards, especially in the context of migrating to Power BI, it's crucial to have a clear understanding of the dashboards and reports currently in use. This helps identify what needs to be recreated in Power BI, ensuring a seamless transition. This guide will guide you through the steps to query on Splunk dashboards, focusing on how to gather all relevant information regarding their usage and authorship.

Identifying the Issue

A user reported needing a query that would allow them to compile a list of dashboards and reports from Splunk based on several key criteria:

List of Dashboards/Reports: Including author details.

Frequency of Usage: How many times each dashboard/report was viewed in the last 30 days.

To address this need, we need to write specific Splunk queries that retrieve the necessary data.

Crafting the Queries

Querying for a List of Dashboards and Reports

To retrieve a list of all dashboards along with their corresponding author details, you can use the following Splunk REST API query:

[[See Video to Reveal this Text or Code Snippet]]

This command utilizes the REST API endpoint that provides details about the views (dashboards) available within Splunk. Using this approach, you can extract relevant metadata, including the authorship.

Querying Dashboard Usage Frequency

To track the frequency with which these dashboards have been accessed, you need to delve into the UI access logs. Use this query to analyze how many times each dashboard was viewed over the last 30 days:

[[See Video to Reveal this Text or Code Snippet]]

In this query:

index=_internal sourcetype=splunkd_ui_access targets internal logs where user access is recorded.

The rex command is utilized to extract the specific dashboard names from logs.

Finally, the stats count by dashboard aggregates the total views for each dashboard.

Combining Results for Comprehensive Insights

By executing both queries, you can attain a detailed report that includes:

A comprehensive list of dashboards and reports with author information.

Usage statistics for each dashboard over the past month.

Conclusion

By utilizing these structured queries, you will not only gain visibility into your existing Splunk dashboards but also gather the necessary information to facilitate a smooth migration to Power BI. Understanding dashboard usage patterns and ownership is essential for making informed decisions regarding which dashboards to recreate in your new analytics environment.

Next Steps

Execute the provided queries in your Splunk environment.

Analyze the results to prepare for your Power BI migration.

Consider optimizing your dashboards based on usage frequency to enhance user experience.

With this approach, you are well on your way to efficiently managing your Splunk data and making strategic business decisions based on actionable insights.