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Assess Your Spark Workload Performance with the Speedata Workload Analyzer CLI

Download the tool, analyze your Spark logs locally, and instantly see how much faster your workloads could run on Speedata’s Analytics Processing Unit (APU) - all from your own environment.

Understand the Performance Potential of your Spark Workloads

The Workload Analyzer CLI (wacli) helps you evaluate how your Spark jobs could perform on the Speedata APU, using your own Spark logs.

Analyze Spark log files locally - no data ever leaves your environment.​

Handles large log sets spanning long time periods

Generate text-based HTML, or JSON output reports for deeper analysis.

Use your own data securely and privately.

wacli \

-b 'net=10,storagebw=10,localbw=25' \

-o html -0 ~/wa/out-single \

"$LOG_FILE"

Simple
Command-Line Workflow 

step 1

Download the Installation Guide and use the CLI for your platform.

step 2

Run the CLI on your Spark log directory.

step 3

Review your results in the terminal or open the generated HTML file.

Review your Results

View Your Results - Speedata's Workload

Need help interpreting your analysis or understanding how Speedata can accelerate your workloads?

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