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I have been doing a lot of work with presenting Jenkins data in dashboards. Jenkins by default does not come with a built-in database. All the data gets stored in the filesystem. However, Jenkins has a REST API that allows us to read data as json. I searched around the Googlesphere to see if anyone had figured out how to capitalize on this REST API for performing analytics and found almost nothing directly related to this. I was searching for open to public Jenkins instances to see how other people use Jenkins. I came across Elasticsearch's Jenkins site and I was pleasantly surprised. Elasticsearch is a json document storage application. There is a Jenkins plug-in that directly inputs data to Elasticsearch.  I implemented this proof of concept to perform Jenkins analytics with Elasticsearch as the document store and Kibana as the analytics engine. I automated the installation part using Docker. There are better ways to automate this. The steps given below do not require any...

Docker is a great tool that allows IT teams to build, ship and run their application in a single reusable container. I found out after I took a course about Docker on Pluralsight.com . In the last six months, I switched from building my own Virtual Box VMs to Vagrant and I was thrilled. I could not stop talking about Vagrant. I use Vagrant for building my own little development environments and I shared one of them with my team. Ravi Kalaga has been telling me great things about Docker. I tried to set it up on my Windows 7 laptop, but I was struggling to make it work over the corporate firewall. Along came,  Camp Pluralsight . I was already reaping benefits of having a Pluralsight subscription through my employer and I had taken three courses (alright, I didn't finish two them) on the site before this camp came along. Yes, the possibility of winning an iWatch did appeal to me in Week 1. The rest of the prizes, Silicon Valley Comic Con 2016 and a gift card for some str...