Elasticsearch is an extremely powerful engine built on top of Apache’s Lucene. It offers some of the most complicated search combinations in an extremely simple manner backed by detailed documentation.

This is going to be a 5 part series and we will see how we can take a basic application with Rails API Server, Vuejs statically served using nginx and Continuously Deploy it to the Kubernetes cluster. It is one of the ways to deploy the apps and these tools are optional to use.

Impressed on the Machine Learning demo using Google ML Kit shown on Flutter Live ’18, we explore the same with on‑device machine learning instead of cloud hosted.

If you are setting up a new project, there is a high chance that CI setup won’t be an easy one. Main reasons are,

Have you seen a Github readme or medium post which displays terminal like this ? In this blog post we will see how we can create one,

Serverless architecture is often debated with container based Kubernetes as it allows scaling without much complexity. Kubernetes provides easy integration of different types of services on one cluster and enables micro service architecture. On the other hand, Serverless are event driven providing run on demand architecture.

Pod is the basic unit of k8s cluster. It can contain one or more containers which are the running process of our application. (To know more about pods, read here).

Rails Abstract caching is one of its many coolest features. Following are the main factors one should consider while caching

An earlier article by Vinoth Kumar Natarajan explains how to use ruby gems with native extensions (like nokogiri) on aws lambda using AWS Serverless Application Model. In this article, I will brief how to do the same using the serverless framework.

We have a large application running on Kubernetes. Recently we were about to be run out of space on the shared disk in production.

Before jumping into what Guard is, let us take a scenario where we are solving some online coding problems like exercism. In this, the bunch of tests would drive the core logic. So our workflow would be to write some code, run the test, see which ones are failing and again write some code.

We often work with several JSONs multiple times a day. Many times, they are not even formatted and they are a pain to work with.