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Scale Performance Metrics
This page is for collecting Scale performance metrics. These metrics do not reflect Scale's total throughput, but rather the throughput through a small (2) number of nodes.
How to perform a performance test in the Scale team's Kiln environment:
- Start with an empty cluster with a new database
- Make you sure you have 2 empty nodes (no DC/OS tasks or Scale jobs) with 4 CPUs each (pause all other nodes)
- Pause the scheduler
- Queue up 5,000 Scale Hello jobs
- Unpause the scheduler (useful to note the time as you do so) and allow jobs to run to completion
- Record how many of the Scale Hello jobs completed in the first 15 minutes
Previous Tests:
05/16/2017 - Issue 841 (Test Jobs) - 1,618 jobs in 15 min - 1.8 jobs/second
05/16/2017 - Issue 841 (Test Jobs) - 1,567 jobs in 15 min - 1.7 jobs/second
05/17/2017 - Issue 841 (Test Jobs) - 1,932 jobs in 15 min - 2.1 jobs/second
05/17/2017 - Issue 845 (Queue Improvement) - 1,790 jobs in 15 min - 2.0 jobs/second
06/12/2017 - Issue 852 (Refactor Scheduler) - 2,123 jobs in 15 min - 2.4 jobs/second
09/06/2017 - Issue 928 (job_exe refactor) - 2,227 jobs in 15 min - 2.5 jobs/second
12/20/2017 - Issue 1013 (Job Completion Message) - 3,055 jobs in 15 min - 3.4 jobs/second
- Home
- What's New
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In-depth Topics
- Enable Scale to run CUDA GPU optimized algorithms
- Enable Scale to store secrets securely
- Test Scale's scan capability on the fly
- Test Scale's workspace broker capability on the fly
- Scale Performance Metrics
- Private docker repository configuration
- Setting up Automated Snapshots for Elasticsearch
- Setting up Cluster Monitoring
- Developer Notes