DataGeek.blog

Note: the statements in this entry are my opinions. I quote IBM once in this article, and that statement should be seen as the only pure fact here. I invite IBM and others to add their perspective in the comments below.… Read the rest

One of my steepest learning curves in the last year and a half has been really getting into containers on K8’s and Docker and what running databases within them means. I thought I’d share a general overview, and plan to follow this post with more specific and more technical posts.… Read the rest

There’s a reason why database administration or engineering remains a separate specialty. There are a large number of rabbit holes you can go down. I’m well aware that there’s probably 40% of Db2 LUW alone that I don’t know, even though I’ve spent 20 years working with it, and am an internationally recognized expert.… Read the rest

I thought I’d share an overview of the real-time monitoring options for Db2 (LUW). This article focuses on comparing the options, with links to deeper information on each tool.

Types of Monitoring

First a quick overview of the types of monitoring that every DBA should be doing.… Read the rest

When I first started learning about data science, the amount of material out there was daunting. It is hard to find your way in what you should learn and how you should learn. I thought I’d share what has been working for me and what didn’t.… Read the rest

One topic that comes up at most panels, Technical Advisory Board meetings and other longer interactions I participate with for IBM is DBA’s love of db2top. It is such an easy tool, and one that most DBAs I know choose over all others for real-time monitoring and basic investigation of a database.… Read the rest