This post covers some of the highlights that we have released in the last 6 months.
We are pleased to announce the general availability (GA) of Elastic 7.14, including our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana. Elastic 7.14 empowers organizations with the first free and open Limitless XDR, which delivers unified SIEM and endpoint security capabilities in one platform.
Today, we are happy to announce three major improvements that will make it easier to integrate your systems and applications with the Elastic Stack. First, we are launching the generally available (GA) release of our Elastic Agent, which is a single, unified agent for both observability and security. A unified agent will simplify data onboarding with fewer things to configure and install.
Today we’re releasing our next major version of Icinga 2. Icinga 2.13 includes many long awaited enhancements and bug fixes, but also a lot of smaller changes.
Due to a great synergy between our products, I am happy to announce that Cloudflare and appfleet are joining forces! The appfleet platform is shutting down, with all clusters going offline on October 31st 2021.
Back in February, we introduced Grafana Enterprise Logs (GEL) into the Grafana Enterprise Stack. GEL is a new way for large organizations to ingest and query their full log volume, without the cost or operational complexity associated with other solutions. (View a demo here.) We just released GEL 1.1, and one of its key features is label-based access control (LBAC).
Elastic made their latest minor Elasticsearch release on May 25, 2021. Elasticsearch Version 7.13 contains the rollout of several features that were only in preview in earlier versions. There are also enhancements to existing features, critical bug fixes, and some breaking changes of note. Three more patches have been released on the minor version, and more are expected before releasing the next minor version.
We recently introduced a new Map graph type into InfluxDB Cloud to help users visualize time series data that includes position. Above is a graph showing the most recent earthquakes in California, where the color of the marker indicates their magnitude. In this post, I’m going to walk through the ways to ingest geotemporal data into InfluxDB Cloud, and how to use the new Maps visualization type.