Adding annotations to your data is a great way to share context with other members of your team. In May, we added the ability to annotate individual points in your data. Today, we have added the ability to add ranged annotations to your dashboard graphs. We’ve also reworked some of the interactions with annotations based on user feedback so that they can be added quickly and easily. To learn more about working with annotations, check out our documentation.

Many of you are familiar with Splunk’s Machine Learning Toolkit (MLTK) and the Deep Learning Toolkit (DLTK) for Splunk and have started working with either one to address security, operations, DevOps or business use cases. A frequently asked question that I often hear about MLTK is how to organize the data flow in Splunk Enterprise or Splunk Cloud.

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Mark Kerzner, software developer and thought leader in cybersecurity training who is also the VP at training solutions company, Elephant Scale. His company has taught tens of thousands of students at dozens of leading companies. Elephant Scale started by publishing a book called ‘Hadoop Illuminated‘.

I recently had the pleasure of hosting a webinar with the team over at Rudderstack. It focused on Data Engineering and managing dynamic schemas at scale. More specifically, Rudderstack-generated, dynamic schemas at scale. This blog will discuss the tools, software, and methods to do just that.

GitHub Actions are a powerful way to add automation to any source code repository. When you take that power and connect it with InfluxDB, you get an amazing combination that allows you to automate data generation, manage GitOps workflows, and a whole lot more. This post will highlight some of the interesting ways to use InfluxDB and GitHub Actions.