troposphere
pipeline
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troposphere | pipeline | |
---|---|---|
17 | 51 | |
4,900 | 8,276 | |
0.2% | 0.8% | |
9.0 | 9.7 | |
7 days ago | 7 days ago | |
Python | Go | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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
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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
pipeline
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14 DevOps and SRE Tools for 2024: Your Ultimate Guide to Stay Ahead
Tekton
- GitHub Actions could be so much better
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Distributed Traces for Testing with Tekton Pipelines and Tracetest
Tekton is an open-source framework for creating efficient CI/CD systems. This empowers developers to seamlessly construct, test, and deploy applications across various cloud environments and on-premise setups.
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Practical Tips for Refactoring Release CI using GitHub Actions
Despite other alternatives like Circle CI, Travis CI, GitLab CI or even self-hosted options using open-source projects like Tekton or Argo Workflow, the reason for choosing GitHub Actions was straightforward: GitHub Actions, in conjunction with the GitHub ecosystem, offers a user-friendly experience and access to a rich software marketplace.
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Wolfi: A community Linux OS designed for the container and cloud-native era
[2]: https://github.com/tektoncd/pipeline/issues/5507#issuecommen...
- Nu stiu ce sa fac, orice sfat e bine venit
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
Drone, or Tekton, Argo Workflows if you’re on k8s
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Is Jenkins still the king?
If you want a step up, I would recommend trying out Tekton Pipelines. It’s a very popular ci tool, and it runs on Kubernetes. Yes, this would involve setting up a Kubernetes cluster but please don’t run for the hills! You can setup a Kubernetes cluster and install Tekton on top of it with minimal setup using minikube (see here. This would be a great joint exercise as it will give you a bit of Kubernetes understanding alongside it, and the mechanisms of Tekton are a little trickier than GitHub actions imo. It’s all much the same though.
- Is there a way to run a one-off pod that would work as a command line tool?
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K8s powered Git push deployments
I've recently found this quote by Kelsey Hightower:
"I'm convinced the majority of people managing infrastructure just want a PaaS. The only requirement: it has to be built by them."
Source: https://twitter.com/kelseyhightower/status/85193508753294540...
In the last few weeks, I've experimented a bit with Flux (https://fluxcd.io/), Tekton (https://tekton.dev/) and Cloud Native Buildpacks (https://buildpacks.io/) on how to provide K8s powered git push deployments without using a dedicated CI/CD server.
My project is still in early alpha stage and just a proof of concept :-) My vision is to expand it into an Open Source PaaS in the future.
Do you think the above quote is true? What does an open source PaaS need to be like in order to be accepted by software developers?
Some other projects have been discontinued in the past (like Flynn or Deis) or were created before the Kubernetes era.
Is it the right direction to provide a Heroku like solution based on K8s or is it better to provide an Open Source Infrastructure as Code library with building blocks to avoid everything from scratch?
What are some alternatives?
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.
dagger - Application Delivery as Code that Runs Anywhere
aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap
argo-cd - Declarative Continuous Deployment for Kubernetes
gohugo-theme-ananke - Ananke: A theme for Hugo Sites
kubevela - The Modern Application Platform.
aws-cli - Universal Command Line Interface for Amazon Web Services
tekton-argocd-poc - This a PoC using Tekton (for CI) and ArgoCD (CD). It uses a local k8s cluster (K3D)
dhall-kubernetes - Typecheck, template and modularize your Kubernetes definitions with Dhall
NUKE - 🏗 The AKEless Build System for C#/.NET
gitlab-ci-python-library
skaffold - Easy and Repeatable Kubernetes Development