Implementing continuous delivery pipelines with GitHub Actions

• starter-workflows

  263 8,477 8.6 TypeScript

  Accelerating new GitHub Actions workflows

  

GitHub is the top software-as-a-service (SaaS) platform featuring an integrated version control system (VCS) used by developers all around the world for hosting their software projects and code repositories, large and small, whether for public or private use and is home to many of the world's largest and most influential open source projects forming the backbone of the modern Internet. Not surprisingly, it offers first-class support for fully customizable CI/CD pipelines and DevOps workflows through GitHub Actions, which supports both fully managed SaaS runners and self-managed custom runners for varying degrees of control over the environment used to execute your automated workflows.

• Puts Debuggerer

  3,176 91 3.5 Ruby

  Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

GitHub is the top software-as-a-service (SaaS) platform featuring an integrated version control system (VCS) used by developers all around the world for hosting their software projects and code repositories, large and small, whether for public or private use and is home to many of the world's largest and most influential open source projects forming the backbone of the modern Internet. Not surprisingly, it offers first-class support for fully customizable CI/CD pipelines and DevOps workflows through GitHub Actions, which supports both fully managed SaaS runners and self-managed custom runners for varying degrees of control over the environment used to execute your automated workflows.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Flask

  135 66,603 8.7 Python

  The Python micro framework for building web applications.

  

In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.

Suggest a related project