Optimizing GitHub Actions Performance: Enhance Workflows with Caching

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • cache

    Cache dependencies and build outputs in GitHub Actions

  • Use Cache Actions: GitHub Actions provides cache actions that simplify caching implementation. The @actions/cache JavaScript library is a popular choice for managing caching in workflows. It offers flexible options for storing and retrieving cache artifacts based on keys, scopes, and paths.

  • Fast-Api-example

    Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . GitHub Actions as CI/CD Pipeline

  • InfluxDB

    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.

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  • fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

  • This repository contains code for asynchronous example api using the Fast Api framework ,Uvicorn server and Postgres Database to perform crud operations on notes.

  • metadata-action

    GitHub Action to extract metadata (tags, labels) from Git reference and GitHub events for Docker

  • 5d. Extract metadata (tags, labels) for Docker: This step extracts metadata for Docker. The step uses the docker/metadata-action action to extract the metadata. The action is used to extract metadata from Dockerfiles and docker-compose files. The action outputs two variables: tags and labels. The tags variable contains the tags for the Docker image. The labels variable contains the labels for the Docker image. You can read more about the docker/metadata-action action here.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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