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Leveraging Tableau Cloud Server Insights for Optimal Performance

Writer's picture: adrianzinoveiadrianzinovei

Hello, Tableau community!


I'm excited to share a recent project I developed on Tableau Public, which focuses on providing detailed insights into Tableau Cloud Server performance. This dashboard is designed to help administrators and users monitor and optimize their server operations efficiently. The project consists of two parts: a general overview and detailed job performance insights, offering interactive drill-down capabilities.







Introduction to RWFD

The data used for this project is sourced from the "RWFD" (Real-World Functional Data). This dataset includes comprehensive metrics on job performance, site capacity, and resource utilization, making it ideal for understanding and optimizing Tableau Cloud Server operations.


Dashboard Overview

The Tableau Cloud Server Insights dashboard is divided into two main parts:


General Information Overview

Detailed Job Performance Insights

Part 1: General Information Overview

This section provides a high-level summary of server operations, including metrics on data sources, bridges, flows, workbooks, views, and subscriptions.


Key Features:

Site Capacity:


Displays the current usage and maximum capacity of the server, helping administrators understand resource utilization and plan for scaling.

Datasources and Bridges:


Shows the number of data sources and bridge items, along with their sizes over time. This helps track the growth of data and the load on bridges.

Flows, Workbooks, and Views:


Provides insights into the number of flows, workbooks, and views, including their average job durations. This helps in identifying performance bottlenecks.

Subscriptions:


Tracks the number of subscriptions and their average job durations, providing a clear picture of automated report distributions.

Parent Items:


Lists parent projects with detailed metrics such as the number of items, jobs, failed jobs, and average job durations. This helps in identifying projects that may require attention.

Part 2: Detailed Job Performance Insights

This section allows users to drill down into specific job performance metrics, providing detailed insights into individual job executions.


Key Features:

Monthly and Daily Job Results:


Visualizes job results on a monthly and daily basis, highlighting successful, failed, and selected failed jobs. This helps in identifying trends and patterns in job performance.

Jobs Frequency:


Displays the frequency of job types and their recurrence intervals, helping administrators understand job schedules and potential overlaps.

Failed Jobs:


Provides a detailed list of failed jobs, including manual runs and overflow statuses. This helps in identifying and troubleshooting specific issues.

Job Details:


Offers comprehensive details of individual jobs, including job ID, type, execution times, error messages, and contact information for the owner. This detailed view aids in quick resolution of issues.

Interactions and Drill-Down Capabilities

The dashboard is designed with interactive elements that allow users to drill down into specific metrics and jobs. By clicking on various sections of the dashboard, users can access detailed views and filter data dynamically. This interactivity ensures that users can explore the data in depth and gain actionable insights.


How to Build the Tableau Cloud Server Insights Dashboard

Data Preparation:


Gather data from RWFD, ensuring it includes all relevant metrics such as job performance, site capacity, and resource utilization.

Creating the Overview Dashboard:


Use bar charts, line graphs, and text tables to visualize high-level metrics.

Add filters and parameters to allow users to customize their views.

Building the Detailed Job Performance Dashboard:


Use detailed tables and bar charts to list job performances.

Incorporate interactive elements like drill-downs and tooltips to provide detailed insights.

Design and Layout:


Ensure a clean and intuitive layout, making it easy for users to navigate and interact with the dashboard.

Use consistent color schemes and labeling to enhance readability and usability.

Conclusion

The Tableau Cloud Server Insights dashboard is a powerful tool for administrators and users to monitor and optimize server performance. By providing both high-level overviews and detailed job performance metrics, it ensures comprehensive visibility into server operations. The interactive and drill-down capabilities make it a versatile and user-friendly solution for managing Tableau Cloud environments.


I invite you to explore this dashboard on Tableau Public. Your feedback and insights are invaluable, and I hope this guide inspires you to create your own interactive and insightful dashboards.


Happy visualizing!


Best,

Adrian Zinovei

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