Operations | Monitoring | ITSM | DevOps | Cloud

A typical bit of feedback I have had during my time at Splunk is that the Splunk Machine Learning Toolkit (MLTK) looks nice and all, but how are we supposed to get started using it? Choosing the right technique, let alone the right algorithm can be a daunting task for those who are unfamiliar with machine learning (ML). We’ve been thinking long and hard about how we can help offer more prescriptive introductions into using ML at Splunk and I’m pleased to present our set of MLTK deep dives.

The number of applications and services increases every day as more application architectures move towards microservices or serverless structures. You can process this increasing amount of time series data with real-time aggregation or with a calculation whose output is a measurement or a metric. These metrics need to be monitored so that you can solve issues and make relevant changes in your system quickly. A change in a system can be captured and observed in many ways.

Flux is InfluxDB’s functional data scripting language. It’s made to query, process, analyze, and act on data. It’s very powerful and is built and optimized for time series. There are so many things you can do with Flux it can be hard to know where to start. This August, InfluxDB University launched a free Intermediate Flux course taught by experts that can take your Flux skills up a notch.