On November 16, 2022, I sat down with analyst KellyAnn Fitzpatrick from RedMonk to discuss my favorite topic: observability. This time, we looked at observability in a context of what to do and what to avoid doing as you’re starting and going on an observability journey. Click the image below (or here) for a replay of the session. A machine-generated transcript is available at the end of the post.
A hybrid infrastructure brings business benefits but it also brings new challenges. Migrating workloads to the cloud is a complex operation that generates more data than engineering teams can adequately manage. Traditional monitoring tools are limited in helping teams find and fix problems during and after a cloud migration. This can throw business strategies off course, limit customer value and hurt the bottom line.
Resilience has become the new strategic imperative for manufacturers during these testing times. As the world’s challenges make headlines, so do the innovative responses of manufacturing leaders. Savvy manufacturers automate, overhaul fundamental processes, modernize their security posture and reduce their CO2 footprint. Forward-focused organizations double down on their cloud investment to become more agile and resilient. And none of it is possible without data.
Knowing the differences between data warehouses and databases can clear up a lot of confusion for many people, especially with the volume of data we have these days. In this blog post, I'll discuss the differences between these two types of data systems. I'll also provide some examples to help illustrate the points we make. Let's get started! (This article was written by Austin Chia.)
