Jenkins Pipeline for testing with a large dataset
We're working on building a Jenkins build & test pipeline for our Computer Vision application (Dockerized). Naturally, we have a huge dataset to perform the testing (~32 GB). Any ideas on how to build such a pipeline?
Some options I'm exploring are
- Making a repository on BitBucket with the data, include it into the Jenkins pipeline, mount it into the Docker and run the test.
- Upload the data on an S3 instance, fetch from Jenkins and perform the test?? (Don't know how that works)
If there is a standard practice for this, I couldn't find it. Any ideas would be helpful. Thanks!
git docker jenkins amazon-s3
add a comment |
We're working on building a Jenkins build & test pipeline for our Computer Vision application (Dockerized). Naturally, we have a huge dataset to perform the testing (~32 GB). Any ideas on how to build such a pipeline?
Some options I'm exploring are
- Making a repository on BitBucket with the data, include it into the Jenkins pipeline, mount it into the Docker and run the test.
- Upload the data on an S3 instance, fetch from Jenkins and perform the test?? (Don't know how that works)
If there is a standard practice for this, I couldn't find it. Any ideas would be helpful. Thanks!
git docker jenkins amazon-s3
Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45
add a comment |
We're working on building a Jenkins build & test pipeline for our Computer Vision application (Dockerized). Naturally, we have a huge dataset to perform the testing (~32 GB). Any ideas on how to build such a pipeline?
Some options I'm exploring are
- Making a repository on BitBucket with the data, include it into the Jenkins pipeline, mount it into the Docker and run the test.
- Upload the data on an S3 instance, fetch from Jenkins and perform the test?? (Don't know how that works)
If there is a standard practice for this, I couldn't find it. Any ideas would be helpful. Thanks!
git docker jenkins amazon-s3
We're working on building a Jenkins build & test pipeline for our Computer Vision application (Dockerized). Naturally, we have a huge dataset to perform the testing (~32 GB). Any ideas on how to build such a pipeline?
Some options I'm exploring are
- Making a repository on BitBucket with the data, include it into the Jenkins pipeline, mount it into the Docker and run the test.
- Upload the data on an S3 instance, fetch from Jenkins and perform the test?? (Don't know how that works)
If there is a standard practice for this, I couldn't find it. Any ideas would be helpful. Thanks!
git docker jenkins amazon-s3
git docker jenkins amazon-s3
asked Nov 13 '18 at 9:41
Ali Kareem RajaAli Kareem Raja
199217
199217
Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45
add a comment |
Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45
Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45
Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45
add a comment |
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Could you store the dataset in an EBS volume and mount that each time? Rather than paying all of the data transfer fees. Or could use EFS?
– ajtrichards
Nov 13 '18 at 9:45