Continuous Deployment (CD) is a software engineering approach in which software functionalities are delivered frequently and through automated deployments.
Continuous deployment contrasts with continuous delivery (also abbreviated CD), a similar approach in which software functionalities are also frequently delivered and deemed to be potentially capable of being deployed, but are actually not deployed. As such, continuous deployment can be viewed as a more complete form of automation than continuous delivery.
Espressif 32: development platform for PlatformIO
DISCONTINUED: a frozen fork will exist forever at mpdehaan/vespene
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
Reference architecture for doing blue green deployments on ECS.
ML pipeline orchestration and model deployments on Kubernetes.
ST STM32: development platform for PlatformIO
Guide for hosting python scripts and applications on Heroku
Official Flyway Docker images
📺 plays various stream sites on kodi using youtube-dl
Turn your RGB powered hardware into a status indicator for continuous integration, continuous deployment and infrastructure monitoring
Build pipelines for automation, deployment, testing...
Docker based continuous integration, continuous deployment and code lint review system for BitBucket
Swarm CI - Docker Swarm-based CI system or enhancement to existing systems.
Use liquibase java application within python
Pare is the easiest way to deploy Python Lambdas alongside your primary web application.
Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.
DEPRECATED Marathon deployment automation tool
The Amazon Elastic Kubernetes Service (EKS) Creation Engine (ECE) is a Python command-line program created by the Lightspin Office of the CISO to facilitate the creation and enablement of secure EKS Clusters.
A pipeline to CI/CD of a machine learning model on Google Cloud Run
A relatively simple but powerful heuristic that can automate performance test result analysis by using powerful statistics.