Operations | Monitoring | ITSM | DevOps | Cloud

Improving Data Quality Through DataOps

Consider this scenario. Pull up your bank’s website and find the screen showing how much money is in your bank account. It takes 30 seconds to return the balance. You’re a bit annoyed at not having your balance immediately, and upon reflection, you think it might be a bit low, and hit refresh in case you misread the number. It comes back 45 seconds later with a different number. You know you haven’t had any transactions in the last minute. Uh oh. Something’s not right.

A New Way to Look Like Splunk

During.conf21, we announced the public release of the Splunk UI Toolkit, a collection of packages and libraries that provides some of the same underlying tools powering our product line to you, the Splunk developer. Now, any Splunk developer can incorporate Splunk UI components into their own custom applications and tools. This includes everything from buttons and inputs from our @splunk/react-ui package, or our new parallel coordinates visualization from our @splunk/visualizations package.

Getting Started with Ruby and InfluxDB

Scroll down for the author’s photo and bio. Time series databases like InfluxDB index data by time. They are efficient at recording constant data streams like server metrics, application monitoring, sensor reports, or any other data containing a timestamp. The structure makes analyzing change over time a breeze. This tutorial will show you how to set up InfluxDB with a sample Ruby application.