Shulou(Shulou.com)06/01 Report--

In this issue, Xiaobian will bring you about APM and ECE 2.1 based on Elasticsearch service. The article is rich in content and analyzed and described from a professional perspective. After reading this article, I hope you can gain something.

Elastic N.V. (NYSE: ESTC), the developer of Elasticsearch and Elastic Stack, announces the official release of Elastic Stack version 6.6. This release includes powerful features that significantly improve operational efficiency for use cases such as logging, metrics, and APM. With index lifecycle management and frozen indexes, users can more easily use the data they receive to run processes as they see fit, automate and organize it, and use more data for analysis. Elasticsearch 6.6 also introduces geographs powered by the Bkd tree storage format, which can increase the storage density of geographic data and speed up queries of such data.

"We're excited to continue to deliver significant benefits to our users with Elastic Stack 6.6, APM based on Elastic search services, and Elastic Cloud Enterprise 2.1," said Shay Banon, Elastic founder and CEO."As users store and manage more data in Elastic search, we're excited to continue to deliver significant benefits to our users with our new free base subscription features, such as index lifecycle and frozen index The user experience will be greatly improved. "

Index Lifecycle Management Helps Optimize Operational Efficiency

Elasticsearch users have always had a great deal of control over how their data is indexed and stored, allowing them to strike the right balance between performance and cost for their use cases. 6.6 Version 2.0 introduces foundational features in Elasticsearch that help users apply these choices to the runtime throughout the lifecycle of their data. Lifecycle management divides the index's lifecycle into four phases: hot, warm, frozen, and deleted, and allows users to define and automatically enforce policies that control how long the index stays in each phase and the set of actions that need to be performed on the index at each phase (for example, moving data from hot nodes to frozen nodes). Lifecycle Management is a free Basic subscription feature.

New long-term data retention with frozen indexes

Elasticsearch 6.6 also introduces a frozen index, which can significantly reduce memory requirements (if extended, also reduce hardware specifications) and support more cost-effective sizing recommendations to meet long-term data retention needs. Frozen indexes can be queried just like normal indexes, but because they use less memory, query speed suffers.

Users are constantly looking for new areas and ways to manage hardware spending, and frozen indexes are another tool in the user toolkit to help users reduce memory and hardware costs. Freezing indexes is a basic subscription feature available free of charge.

Speed up indexing and querying geographic data with geographic graphics supported by Bkd trees

Elasticsearch 6.6 continues to focus on storage and performance, introducing geographics powered by Bkd trees, which in turn provides significant improvements in both storage and performance when querying geographics data. A more efficient storage format based on the Bkd tree has several advantages; with this feature, users can apply these advantages to more data types and, if extended, to more use cases. Geographics powered by Bkd trees is an Elastic Stack open source feature.

Elasticsearch SQL improvements

The new version includes several new features, such as the ability to query IP address fields, native support for date histograms, and support for geographic queries; these features are great for all users of Elasticsearch SQL. Users can experience these improvements with a basic subscription, making it easier to create timing diagrams in Kibana Canvas.

More deployment options for Elastic APM

Elastic has always been committed to helping users use Elastic technology in more ways, and this latest release offers new options for users to deploy Elastic APM. For deployments running in Elasticsearch services or Elastic Cloud Enterprise, Elastic users can add Elastic APM to them. We launched a public beta of Distributed Traceability in Elastic APM version 6.5; we are now launching the official version of Distributed Traceability, which is available as a free base subscription feature. Elastic APM is now compatible with OpenTracing.

Other significant developments include:

Preconfigured Machine Learning jobs for Auditbeat data that can be used to detect unusual activity in audit data, especially security-related unusual activity.

Elastic Cloud Enterprise 2.1 launch package with support for cross-cluster search, IP filtering, and other powerful features you'll see in 6.6 from today.

The above is what APM and ECE 2.1 based on Elasticsearch service shared by Xiaobian are like. If there is a similar doubt, please refer to the above analysis for understanding. If you want to know more about it, please pay attention to the industry information channel.

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