GitHub Actions Reviews

Minio Reviews

GitHub Actions mentions (278)

• GitHub Release Action for the Python Package Index

  GitHub Actions are automated routines that run on GitHub's sandboxed virtual machine servers, called "runners", and are (probably) free for your Public open source projects! - Source: dev.to / 3 months ago

• Github Actions to deploy your Terraform code

  If you have chosen to host some of your codebases on Github, you should know that there is a built-in tool allowing you to implement CI/CD workflows, called Github Actions. - Source: dev.to / about 1 month ago

• Building the DevOps Pipeline

  To realize continuous integration in practice, we rely on version control systems(VCS) such as Git, code repositories such as GitHub, and build automation tools such as GitHub Actions. - Source: dev.to / about 2 months ago

• Level Up Your Projects with GitHub Actions & CI/CD

  GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my... - Source: dev.to / 2 months ago

• How to Manage Terraform with GitHub Actions

  GitHub Actions is a modern CI/CD tool integrated natively on GitHub. Itenables the rapid automation of build, test, deployment, and other custom workflows on GitHub with no need for external tools. - Source: dev.to / 2 months ago

Minio mentions (157)

• Log and trace management made easy. Quickwit Integration via Glasskube

  Before installing Quickwit, you'll need to create an object storage bucket to hold your Quickwit indexes. You can use use your choice of Cloud provider such as Scaleway, AWS S3 or MinIO. Refer to our official Quickwit documentation for storage configuration details. - Source: dev.to / 5 days ago

• A step-by-step guide to building an MLOps pipeline

  The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 29 days ago

• S3 Is Showing Its Age

  > When it gets too out of hand, people will paper it over with a new, simpler abstraction layer, and the process starts again, only with a layer of garbage spaghetti underneath. I'm pretty happy that there are S3 compatible stores that you can host yourself, that aren't insanely complex. MinIO: https://min.io/ SeaweedFS: https://github.com/seaweedfs/seaweedfs Of course, many will prefer hosted/managed solutions... - Source: Hacker News / about 1 month ago

• deploying a minio service to kubernetes

  Here are the basic steps to getting a minio tenant deployed inot kubernetes. There are some pre-requisites tasks to be deployed (and will not be covered in this article) including. - Source: dev.to / 3 months ago

• Ceph: A Journey to 1 TiB/s

  I'd throw minio [1] in the list there as well for homelab k8s object storage. [1] https://min.io/. - Source: Hacker News / 6 months ago