Part 1 of this series covered the creation of the virtualized infrastructure for creating a Kubernetes cluster on. There are a variety of tools for building clusters, including Kops, Kubespray and Kubeadm. Kubeadm is perhaps […]
This blog post is the first in a series detailing how to build a Kubernetes cluster to deploy a SQL Server 2019 big data cluster to. For the purposes of learning and on-boarding there are […]
From a ‘Vanilla’ Kubernetes perspective; where all nodes in the cluster run on Linux, only containers based on Linux images can run. As of version 1.9 of Kubernetes, we are currently on 1.12 at the […]
In the previous post the scene was set for why container orchestration is required, what Kubernetes is and why the world of open source should be entered into with ones eyes wide open. This post […]
With the announcement of SQL Server 2019 big data clusters at Ignite, Kubernetes (often abbreviated to K8s) now stands front and center as part of Microsoft’s data platform vision. The obvious inference being that this […]
Where Were We ? In part I of this series I set the scene for why you would want to use docker and Jenkins for SQL Server continuous integration pipelines. The first post also covered […]
There seems to a great deal of interest in containers and Kubernetes at present, fueled by Microsoft hinting that Kubernetes has a big part to play in the future of the Microsoft data platform: Of […]
In the first post in this series I covered why you might want to use Jenkins as a CI engine and how to deploy to SQL Server running in a container using the ‘Sidecar’ pattern. […]
The mainstay of my presentation material this year has been my deck on continuous integration, Docker and Jenkins. For people who have not had the chance to see this presentation or have seen it and […]
In the previous part of this blog post I discussed how containers could be used to scale out a singleton work load. Where as my attempts to get my experiments to work ran into difficulties […]
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