Integrating an application with Elasticsearch can be achieved two ways, one using REST APIs, and the other using Native clients. In the article “REST Calls Made Easy – A New Elasticsearch Java Rest Client”, we covered extensively the new Java REST Client API to integrate easily with Elasticsearch.

We all know that Elasticsearch is a powerful search engine that comes with a lot of additional plugins to meet most of the requirements. Suppose you have a special requirement to work with Elasticsearch that is not provided by any of the plugins available in the market. Don’t worry. Elasticsearch provides many custom plugin classes that can be extended and helps you create your own plugin to serve those purposes.

In this article we explain how to write a custom plugin for Elasticsearch.

You probably found this article by searching if you can secure your Elasticsearch cluster by providing some sort of authentication mechanism. You might have come across many options like Shield, or some of the open-source authentication plug-ins available in Qbox, but you decided that you want to have some fun by creating your own plugin for authenticating the REST requests coming to Elasticsearch.

In this tutorial we explain how you can plug-in basic authentication into Elasticsearch. This article is based on the APIs available in Elasticsearch 2.3.x.

Qbox is excited to offer a new, powerful data intelligence option for our customers. Now you can select Kibi as a hosted analytics package on Qbox Elasticsearch clusters.

The adoption of Log4j overshadows all other java logging frameworks. With Log4j 2, Apache gave us a next-generation Asynchronous Logger based on the famous LMAX Disruptor library. Yes, we scale!

Therefore, it’s a pity that currently there is no official Logstash 2.x plugin for Log4j2. Unofficially? There is https://github.com/jurmous/logstash-log4j2, but unless you’re a Ruby expert, it would take considerable effort to compile and install it correctly. In this article we did that for you and present a small demo on docker-compose.

We are so passionate about search, that despite even our best efforts to build amazing search experiences we are just a hair short of this amazing tool. Concerning Searchkit, we can’t help but brag about what might appear as a competitor, because our new friends at TenEleven  have such a great library (check it out on Github). Qbox liked the project so much, we have begun contributing infrastructure to the project.