MOUNTAIN VIEW, Calif.- Elastic N.V. (NYSE: ESTC), the company behind Elasticsearch and the Elastic Stack, announced the general availability of version 6.7 of the Elastic Stack. This release delivers two new solutions: Maps, for advanced, layered visualization of geospatial data on a map in Kibana, and Uptime, a new way to monitor system and service uptime with Elasticsearch and Kibana. Elasticsearch 6.7 also introduces the production-ready versions of many features, including cross-cluster replication, index lifecycle management, Elasticsearch SQL (including ODBC and JDBC clients), Canvas, and Functionbeat. Elastic Stack version 6.7 is available on Elasticsearch Service on Elastic Cloud, or users can download it for self-managed workloads.
Elastic Maps Brings New Layers to Geospatial Analytics in Kibana
Geo is an important part of search, whether you’re looking at logs to see where network traffic originates, answering questions like “How many taxis were available in the Chicago Financial District in the past 5 minutes?” or even correlating the magnitude and geographic reach of an earthquake with the scope of a network outage.
The Elastic Maps solution allows users to view and explore this location data in a more intuitive way. With features like multiple layers and plotting individual data points and shapes, with many options for customization, this solution improves on Elastic’s existing geospatial visualizations. Elastic Maps is launching in beta with the 6.7 release, and is included in Kibana by default, which means it’s available today in Elastic Cloud.
Expanded Observability with the New Uptime Solution
The 6.7 release also introduces a new solution, Uptime, to proactively monitor systems, services, and APIs for expanded observability. The Uptime solution automatically detects when application services are down or are responding slowly, even before those services are called by the application, and provides proactive notifications.
Based on Heartbeat, a lightweight data shipper for uptime monitoring, Uptime can be deployed both inside and outside an organization’s network. It can be used to understand service uptime and response time characteristics from multiple network vantage points and to verify that services are available and returning the correct response codes. By combining the Uptime solution with logs, metrics, and APM data, users will be able to bridge data silos and speed up troubleshooting and root cause analysis across their observability initiatives.
Several Key Elastic Stack Features, Including SQL and Canvas, Graduate to GA Status in 6.7
With version 6.7, several popular Elastic Stack features are graduating to general availability (GA) status, marking them production-ready.
Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases.
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