High Confidence Jobs
Overview
The High Confidence Jobs report application filters and presents jobs that have experienced rightsizing and downsizing events based on selected tags and key values.
Key Features:
Date and Tag Filtering: Users can filter jobs based on specific periods and operational tags to focus on relevant data.
Cost and Savings Analysis: The app calculates the cost of jobs and identifies potential savings, aiding in financial optimization.
Installing and opening High Confidence Jobs app
Refer to Installing High Confidence Jobs app.
Refer to Launching High Confidence Jobs app.
Generating the report
Open the High Confidence Jobs app.
Set the desired time frame using the 'Start Date' and 'End Date' fields.
Select the required tag and value.
Click Submit. The report is generated.
The report displays a list of high confidence jobs that have been filtered based on the criteria mentioned above. Here's a breakdown of the columns presented in the interface:
Signature: Job identifier for referencing specific jobs.
Cluster Type: Type of cluster on which the job was executed, labeled as 'AUTOMATED' for automated clusters.
Runtime Engine: The engine used to execute the job.
Cost: Total cost associated with the job execution.
Untapped Savings: Potential savings that could be achieved by optimizing the job.
Links: URLs to detailed job reports and related documents.
The app incorporates a sunburst chart created using the Plotly library to visually represent the cost and savings data, providing an intuitive understanding of where financial optimizations can be made.
