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Performance benchmarking for Concourse releases #3816

ddadlani opened this issue May 3, 2019 · 3 comments

Performance benchmarking for Concourse releases #3816

ddadlani opened this issue May 3, 2019 · 3 comments


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@ddadlani ddadlani commented May 3, 2019

As a Concourse dev, it would be nice to know the impact that a particular release has on the overall performance of Concourse. @jama22 pointed out that since a lot of the runtime backlog revolves around stability, this would help us understand whether the changes made in a particular release improve stability or have unforeseen consequences that impact resiliency or efficiency.

Here are some of the benchmarking metrics that we would like to measure against some predefined workload:


  1. CPU load
  2. Memory usage
  3. Disk utilization
  4. System load average
  5. Min, max and average number of containers
  6. Min, max and average number of volumes
  7. Network I/O
  8. Standard deviation of the above values among all workers (esp. containers and volumes)


  1. HTTP response duration
  2. Number of DB connections
  3. Time taken to schedule a build

This issue is to discuss and track work related to building out a benchmarking tool or process.

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@ddadlani ddadlani commented Jun 11, 2019

We plan to use concourse/concourse/drills to create a performance environment. We can use to simulate high load for CPU, memory and disk I/O.

For containers, volumes and network I/O we need to design a pipeline with several heavy get steps.

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@jamieklassen jamieklassen commented Jun 12, 2019

Bumping @jchesterpivotal's wise observation that stddev loses its prediction power in the absence of normally-distributed data: #2874 (comment)

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@jchesterpivotal jchesterpivotal commented Jun 12, 2019

I'd also add Brendan Gregg's book, Systems Performance: Enterprise and the Cloud to a reading list. It's very good at breaking down the way different components and systems can manifest performance problems.

@ddadlani ddadlani removed this from Icebox in Runtime Aug 8, 2019
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