seanmarlow

Mash is a Python based CI/CD pipeline for automated testing and publishing of public cloud images. Currently the production and development deployment for the package is inconsistent, slow and manual. This is a barrier to rapid development, deployment and testing. It also means the development workflow is different than production. This can lead to production issues which were not seen during development. In order to modernize the Mash workflow I plan to spend the week digging into a plethora of tools to first learn then build out a new workflow. The goal is to simplify deployment by choosing tools that provide consistency, modularity and repeatability. By leveraging the best tools available we can harden the code and accelerate the release cycle.

Project Description

Many years back I created a simple python based CLI package that wrapped the NWS API to get weather forecasts, discussions and current conditions. Meanwhile I have not had time to keep it up-to-date so many pieces are broken or using deprecated features of the REST API. The package is useful to get weather information much quicker from CLI than clicking through the NWS website.

Project Description

The goal of this project is to create a lightweight multi-cloud metadata CLI for Public Cloud environments. There are cloud specific packages that exist but they all have different API and many are developed in Python which is quite heavy for cloud images, especially containers. Leveraging a compiled language will help with keeping the CLI lightweight.

Project Description

A lot of workloads and scripts are relatively simple and driven by messages. The majority of the code goes towards handling incoming and outgoing messages, queuing/coordinating tasks, logging, handling authentication/authorization and etc. The actual work performed is a small function with a linear set of steps to perform.