troposphere
troposphere - Python library to create AWS CloudFormation descriptions (by cloudtools)
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| troposphere | gitlab-ci-python-library | |
|---|---|---|
| 17 | 6 | |
| 4,900 | - | |
| 0.2% | - | |
| 9.0 | - | |
| 6 days ago | - | |
| Python | ||
| BSD 2-clause "Simplified" License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
troposphere
Posts with mentions or reviews of troposphere.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-09.
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AWS Predictions for 2024
Under the IaC category, in July 2023, AWS added loops to CloudFormation, finally ticking a box the community has been asking for since troposphere. I suspect that, in combination with the Terraform licensing changes, it may keep people using CloudFormation for a while longer.
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Journey of creating a new AWS CloudFormation resource
Because ECS Compose-X uses Troposphere, I was able to create a very light and simple python library(https://github.com/JohnPreston/troposphere-awscommunity-applicationautoscaling-scheduledaction) to distribute the resource for other Troposphere users to re-use.
- What are some of your favorite projects to support on GitHub?
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Terraform vs. Cloudformation for an all-AWS Environment in 2023?
Written in house, but the library troposphere is the primary component of how it is built. Example stacks are here.
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How proficient should Solution Architects be at writing code?
I am kind of going off topic here, but isn't the point of being an SA to be created with code services to deliver solutions at scale that are cost-effective? How in the hell can you do that when you can't write a simple Python template that generates code at 50 times the rate you can manually? How can you ever be expected to deploy a serverless solution if you can't write any code yourself? There has to be some level of proficiency there.
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Terraform should have remained stateless
Wouldn't using troposphere[1] be easier?
[1] https://github.com/cloudtools/troposphere
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Hosting your blog on AWS
You might have seen some tutorials on how to set up S3 buckets using the AWS Console. This works fine, but I'm a firm believer of managing your resources with code. I've chosen the native solution of AWS, called AWS CloudFormation. This makes it easier to reproduce the setup if I ever need to tear it down of move it to another account or region. Below is the full CloudFormation template, I've used a framework called Troposphere, a Python library that creates CloudFormation.
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Alert: Cloud Software Startup Hashicorp Files For IPO
For CF for example I no longer write template in yaml or shudders json, and instead I use troposphere.
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AWS pros out here, how can someone get good at CloudFormation ?
refer : https://github.com/cloudtools/troposphere
- Troposphere – A Python library which allows you build cloudformation templates
gitlab-ci-python-library
Posts with mentions or reviews of gitlab-ci-python-library.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-29.
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Dynamic .gitlab-ci.yml Generation
Hey OP. You might want to consider this. https://gitlab.com/dbsystel/gitlab-ci-python-library
- Write Gitlab CI Pipelines in Python Code
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Gitlab CI Pipelines in Python Code!
You're right, the child pipeline is still displayed as a single step at the pipelines front page: https://gitlab.com/dbsystel/gitlab-ci-python-library/-/pipelines
What are some alternatives?
When comparing troposphere and gitlab-ci-python-library you can also consider the following projects:
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
pipeline - A cloud-native Pipeline resource.
aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap
NUKE - 🏗 The AKEless Build System for C#/.NET
gohugo-theme-ananke - Ananke: A theme for Hugo Sites
dashboard - A dashboard for Tekton!
aws-cli - Universal Command Line Interface for Amazon Web Services
drone - Gitness is an Open Source developer platform with Source Control management, Continuous Integration and Continuous Delivery. [Moved to: https://github.com/harness/gitness]
dhall-kubernetes - Typecheck, template and modularize your Kubernetes definitions with Dhall
dhall-lang - Maintainable configuration files
www-gitlab-com
mkdkr - mkdkr = Makefile + Docker
troposphere vs terraform
gitlab-ci-python-library vs pipeline
troposphere vs aws-cloudformation-coverage-roadmap
gitlab-ci-python-library vs NUKE
troposphere vs gohugo-theme-ananke
gitlab-ci-python-library vs dashboard
troposphere vs aws-cli
gitlab-ci-python-library vs drone
troposphere vs dhall-kubernetes
gitlab-ci-python-library vs dhall-lang
troposphere vs www-gitlab-com
gitlab-ci-python-library vs mkdkr