Ever wanted to see and experience your data in 3D? Splunk VR unlocks the third dimension for data visualizations, so you can naturally interact with visualizations in virtual reality and find insights faster than ever before. Use Splunk VR to give your workflow an infinite canvas, free your data exploration from limited monitor screens, and display as much information as you want around you.
We’re thrilled to share the news that Splunk has been named a Leader in The Forrester Wave™: Security Analytics Platforms, Q4 2020. It’s an honor to be named a Leader by Forrester. We view it as an affirmation of our commitment to customer success and a reflection of our ability to understand their needs. Through close collaboration with our customers, we have developed innovative solutions to protect their data hosted in on-premises, hybrid or multi-cloud environments.
Recently, the JetBrains .NET advocacy team published a deep-dive post powered by data we retrieved from the official NuGet APIs with the goal of better understanding our community's OSS past and trying to predict trends into the future. This resulted in a giant dataset. Given our experience with Elasticsearch, we knew that the best tool to process millions of records was what we're calling the NECK stack: .NET, Elasticsearch, CSV, and Kibana.
Elastic Maps added several exciting features with the release of Kibana 7.10 that let you do even more with your location data. From making it easier to upload files with latitude and longitude fields to being able to trigger an alert when something moves across a boundary, there are a host of jaw droppingly cool new things to check out. I’ll be providing a good overview in this blog, but to see the real magic, I’d suggest: Now onto the good stuff!
So you’re using InfluxDB Cloud, and you’re writing millions of metrics to your account. You’re also running a variety of downsampling and data transformation tasks. Whether you’re building an IoT application on top of InfluxDB or monitoring your production environment with InfluxDB, your time series operations are finally running smoothly. You want to keep it that way.
