Pinned Repositories
one-click-mlflow
A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
charts
the new home of the stable/airflow Helm chart
documentation
Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
jekyll
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
mergestat
MergeStat enables anyone to ask questions about the history and contents of source code.
sample-apps
Repository of sample applications
skaffold
Easy and Repeatable Kubernetes Development
terraform-google-kubernetes-engine
Configures opinionated GKE clusters
griseau's Repositories
griseau/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
griseau/charts
the new home of the stable/airflow Helm chart
griseau/documentation
griseau/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
griseau/jekyll
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
griseau/mergestat
MergeStat enables anyone to ask questions about the history and contents of source code.
griseau/sample-apps
Repository of sample applications
griseau/skaffold
Easy and Repeatable Kubernetes Development
griseau/terraform-google-kubernetes-engine
Configures opinionated GKE clusters
griseau/timescaledb-kubernetes
Configuration and Documentation to run TimescaleDB in your Kubernetes cluster
griseau/vespa
Vespa is an engine for low-latency computation over large data sets.