Most people will say that 2016 was a terrible year and can’t wait for 2017. I agree that 2016 was not perfect for many people but it was a great year for linux-toys. I made this blog with the goal to influence people and drive that creative spark that we all have inside. In this blog post I will go over the website statistics and discuss a few of the blog entries that I thought were most influential for the year.
I released PiCluster last week and wanted to show how to run the Scality S3 server with it using Docker. Scality S3 is an open-source object storage server. PiCluster is a simple and lightweight container management and orchestration framework that I wrote in Node.js. Besides running containers, PiCluster can also perform health checks on applications to ensure that a service is actually running. Before we begin, I am assuming that you already have Docker installed. Lets get started by downloading PiCluster.
My previous post was about using Cloud Explorer with the Scality S3 server. After I published that post, I thought it would be informative to go one step further and explain how I use the S3 server in homeduction (applications run at home in production). My homeduction environment consists of four Raspberry Pi’s running Docker that power this WordPress blog and many other applications . My goal is to add an S3 server to store the images for this blog and anything else that I can come up with.
I spent a few weeks searching for an open-source S3 server that I can run at home to test Cloud Explorer. I first came across Minio which is an open-source S3 server but I could not get it to work with Cloud Explorer because it had issues resolving bucket names via DNS which is a requirement using the AWS SDK. I then read an article about Scality releasing an open-source S3 server that you can run inside a Docker image. I was able to get Scality up and running quickly with little effort. In this post, I will explain how I got the Scality S3 server setup and how to use it with Cloud Explorer.