terraform-provider-azuredevops
nutter
terraform-provider-azuredevops | nutter | |
---|---|---|
3 | 2 | |
365 | 262 | |
1.9% | 2.3% | |
9.5 | 0.0 | |
6 days ago | 13 days ago | |
Go | Python | |
MIT License | MIT License |
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terraform-provider-azuredevops
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Why is Azure Portal so slow at times?
Yes i agree terraform is much better.. unless one runs out of luck due to new features on azure.. https://github.com/microsoft/terraform-provider-azuredevops/labels/new-feature The cli and powershell are updated by ms much faster... but for most cases terraform is just about ok
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CredScan policy
As far as I know, there is no built-in CredScan policy in Azure DevOps. The link you shared is Azure DevOps provider in Terraform. If you get any problems to set this policy, you could go to https://github.com/microsoft/terraform-provider-azuredevops/issues to create a new issue.
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go vendor didn't download all files?
Goal: I'm trying to write a new terraform provider for AzureDevops. The goal is to call pipeline (API) https://github.com/microsoft/terraform-provider-azuredevops. I forked it to my own github account. After read the code, I notice the api it used in this provider is from https://github.com/microsoft/azure-devops-go-api/tree/dev/azuredevops/pipelines. And there is a pipelines go func I need.
nutter
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How much object orienteered do you use in your projects? Bonus points for integration and unit tests
From my experience OO gives you much more flexibility in designing your pipeline but you're risking to make the project way more complicated. The worst example I have seen is the Nutter library (https://github.com/microsoft/nutter), which uses endless classes that are all nested in each other. I once had a bug when using it, and it was a huge pain in the ass to understand what's going on when the code is executed. It is a very good example of what can go wrong when you're overusing OO. However, in one project, I carefully created few classes, just out of curiosity, and I was very impressed how it helped me to organize/structure my code. A functions hase a clear dedicated use, but a good class is like a Swiss army knife with an solid set of functionalities. If you know how to use it in a smart way, you are likely to increase the quality of your code, but the contrary is also very likely, especially when the team members are not ready for it.
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How do you test your pipelines?
- https://github.com/microsoft/nutter
What are some alternatives?
terraform-provider-helm - Terraform Helm provider
cicd-templates - Manage your Databricks deployments and CI with code.
terraform-provider-azurerm - Terraform provider for Azure Resource Manager
dbt-databricks - A dbt adapter for Databricks.
terraform-provider-libvirt - Terraform provider to provision infrastructure with Linux's KVM using libvirt
dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
azure-devops-python-api - Azure DevOps Python API
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
databricks-cli - The missing command line client for Databricks SQL