Yesterday, the team at Elastic released Elastic Stack 6.7 a group of open source products from Elastic designed to help users take data from any type of source and visualize that data in real time.
What’s new in Elastic Stack 6.7?
Elastic Maps is a new dedicated solution used for mapping, querying, and visualizing geospatial data in Kibana. They expand on existing geospatial visualization options in Kibana with features such as visualization of multiple layers and data sources in the same map. It also includes features like dynamic data-driven styling on vector layers on maps,
mapping of both aggregate and document-level data and much more. Elastic Maps also embeds the query bar with autocomplete for real-time ad-hoc search.
This release comes with Elastic Uptime, that makes it easy to detect when application services are down or they are responding slowly. It notifies users about problems way before those services are called by the application.
Cross Cluster Replication (CCR)
Cross Cluster Replication (CCR) now has a variety of use cases that include cross-datacenter and cross-region replication and it is generally available.
Index Lifecycle Management (ILM)
With this release, Index lifecycle management (ILM) is now generally available and also ready for production use. ILM helps Elasticsearch admins with defining and automating lifecycle management policies, such as how data is to be managed and moved between phases like hot, warm, cold, and deletion phases while it ages.
Elasticsearch SQL, helps users with interacting and querying their Elasticsearch data using SQL. Elasticsearch SQL functionality includes the JDBC and ODBC clients, which allows third-party tools to connect to Elasticsearch as a backend datastore. With this release, Elasticsearch SQL gets generally available.
Canvas that helps users to showcase and present live data from Elasticsearch with pixel-perfect precision, becomes generally available with this release.
In this release, Kibana’s first localization, which is now available in simplified Chinese. Kibana also introduces a new localization framework that provides support for additional languages.
Functionbeat is a Beat that deploys as a function in serverless computing frameworks, as well as streams, cloud infrastructure logs, and metrics into Elasticsearch. The Functionbeat is now generally available and it supports the AWS Lambda framework and can stream data from CloudWatch Logs, SQS, and Kinesis.
The Upgrade Assistant in this release will help users in preparing their existing Elastic Stack environment for the upgrade to 7.0. The Upgrade Assistant includes both APIs and UIs and works as an important cluster checkup tool to help plan the upgrade. It also helps in identifying things like deprecation warnings to enable a smoother upgrade experience.
To know more about this release, check out Elastic’s blog post.