This presentation examines the drivers behind the rise of NoSQL data stores and, in particular graph databases, focusing on their use-cases and adoption trends, and exploring where graph database fit in the world of NoSQL, NewSQL, and big data.
Today we started day 1 of our first ever ITOps sprint. This all came about because we needed a way of working out our productivity on “project tasks”, as well as learning how to triage our interruptions a bit better.
Here you will find two short videos of the demo portion of my session, first covering OpenShift while working with the command line tooling (rhc) and second showing what you can do with the OpenShift management console.
The idea of the previous example was to simplify the work that we had to do in a manual way - we've sed JmsTemplate and Spring listener containers. The routing as such unfortunately was still done by us. In order to facilitate this process we can use Apache Camel.
The idea is to get the simplest implementation of a pipeline in place, prioritizing a fully working skeleton that stretches across the full path to production over a fully featured, final-design functionality for each stage of the pipeline.
There's a massive tension in the enterprise – on the one side, developers who just want to be able to get sh1t done with tools that allow them to deliver outcomes. On the other, enterprise IT tasked with ensuring that data and services remain secure.