add new perfInsights.py script to analyse the data generated in result_data branch #905
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@ahus1 if you like the script, I shall add docs for it and commit to this PR, lmk. |
|
I suppose this is some overlap with what we can do with Horreum, still it might be good for ad-hoc or explorative analysis. Feel free to add it to our repo together with some docs. |
…t_data branch. Signed-off-by: Kamesh Akella <kamesh.asp@gmail.com>
kami619
force-pushed
the
is-901-analyze-perf-results
branch
from
df426ad
to
ea9b906
Compare
|
@ahus1 good to review and merge when you have some capacity to look at it. I have added the docs. |
Signed-off-by: Alexander Schwartz <aschwart@redhat.com>
ahus1
approved these changes
Aug 9, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
We are adding a script to analyze the generated performance test run results efficiently.
usage:
python perfInsights.py <directory_on_result_data_github_branch>
Sample Output: https://github.com/user-attachments/files/16390815/rosa_scalability_runs_comparision.zip