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The mongo-monitor CLI is a lean and simple tool to check the status of a MongoDB server or cluster. The code is on GitHub: github.com/dwmkerr/mongo-monitor Here’s how it looks in action: In this animation I am monitoring a simple sharded cluster, and running some example maintenance operations, adding a node to a replicaset, stepping down a primary and shutting down a replicaset node. A simple CLI which shows the status in real-time can be very useful to keep open when performing admin, letting you see how your changes affect the cluster as you work on it.

En Español | Reddit Thread | Hacker News Thread Microservices became a very popular topic over the last couple of years1. ‘Microservice madness’ goes something like this: Netflix are great at devops. Netflix do microservices. Therefore: If I do microservices, I am great at devops. There are many cases where great efforts have been made to adopt microservice patterns without necessarily understanding how the costs and benefits will apply to the specifics of the problem at hand.

In this article I’m going to demonstrate a few tips and tricks which can make your life easier when you are building or maintaining Dockerfiles. The need for a Build Pipeline Do we really need any kind of continuous integration or build pipeline for Dockerfiles? There will be cases when the answer is no. However, if the answer to any of the following questions is ‘yes’, it might be worth considering:

If you are looking to get your hands dirty and learn all about Docker, then look no further! In this article I’m going to show you how Docker works, what all the fuss is about, and how Docker can help with a basic development task - building a microservice. We’ll use a simple Node.js service with a MySQL backend as an example, going from code running locally to containers running a microservice and database.