Welcome to Part II of this three-part mini-series on bridging the gap between operational technology (OT) and information technology (IT) in Industry 4.0. In Part I, we set the stage for the remainder of the series and gave an overview of IT and OT, the two technological layers of modern industrial factories. In this blog, we expand on that knowledge by confronting the two domains and discussing the automation pyramid concept.
Insight reports that 55% of small to medium business (SMB) owners feel that the tech tools and solutions they use are getting in the way of them progressing and using newer IT tools. Unfortunately, a lot of these organizations definitely feel stuck because they lack the knowledge of how to advance their tech. What if you didn’t have to be the one to oversee all the tech in your business?
How to set up a basic React app, query data from InfluxDB Cloud and use the queried data to populate results using Apache ECharts.
Hopefully by now you’re taken your first sip of Elastic RUM, or real user monitoring, and see the power of searching through traces and the User Experience metrics to gain insights into how users actually use and experience your application. One issue you may have experienced is the challenge of finding the source of errors for minified JavaScript files.
Creating personalized search experiences can be challenging. In this post, we’ll demystify the steps to get started, so you can prioritize search results according to user profiles, offer relevant recommendations, and accelerate workflows. But before we get to that, let’s address why personalized search matters.
Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes. Here's how to deal with it!