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Amazon Web Services is a subsidiary of that provides on-demand cloud computing platforms to individuals, companies, and governments, on a subscription basis.

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Nov 4, 2021
  • Python
rix0rrr commented Nov 29, 2021


There are limits to how many CodeBuild projects can run in parallel (it's either 5 or 20), and asset publishing is liable to hit those.

Rather than queueing builds, any builds over the limit are just outright failed.

The CodePipeline generator should take this into account when generating asset publishing stages.

Use Case

Hitting CodeBuild limit.

Proposed Solution

yorinasub17 commented Nov 5, 2020

Currently there is no way to customize the terraform or terragrunt command you are running in each session when you go through the functions in terraform package, such as terraform.Apply or terraform.TgApplyAll if it isn't supported in terraform.Options. This is limiting if your code depends on flags like parallelism or terragrunt flags like --terragrunt-include-external-dependencies.

macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

  • Updated Dec 23, 2020
  • Python

Released March 2006


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