Elastic Stack 7.5.0 Released

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A new press release states, “Elastic N.V., creators of Elasticsearch, today announced the release of Elastic Stack 7.5.0, the latest version of the all-in-one datastore, search engine, and analytics platform. Along with the introduction of Kibana Lens, a fast and intuitive way to craft visualizations, this release offers significant enhancements to Elastic’s Observability, Security, and Enterprise Search solutions… Kibana is, and has always been, the best way to visualize data stored in Elasticsearch and to navigate the Elastic Stack. With 7.5, Elastic is introducing Kibana Lens — an entirely new way to craft visualizations. Lens is designed to work the way users think, letting users rapidly go from raw data to meaningful visualization without needing any previous technical experience or knowledge of Elasticsearch. It starts with a new drag-and-drop experience, along with the ability to easily switch between chart types and different index patterns. As the user adds fields to the chart, Lens provides smart suggestions to show other views of the data. Combined with the speed of Elasticsearch, Lens makes it faster and easier than ever to visualize, explore, and understand data.”

The release goes on, “Way back in Elasticsearch 5.0, Elastic first introduced the Ingest Pipeline — a way to process and enrich documents at indexing time. By building this directly into Elasticsearch, configuration via API is simple, scaling out is easy, and performance is quite fast. Over the years, Elastic has seen wide adoption of this feature and now relies on it for processing and enrichment in nearly all of its modules — the many data sources that Elastic natively supports. Whether it’s parsing a log line with grok or dissect or adding location data to an IP address, ingest pipelines are increasingly the workhorse doing the ingest-time processing in the Elastic Stack. With the 7.5 release, Elastic is delivering one of the most requested features: lookup-based enrichment. The new Enrich processor provides an efficient way to query an Elasticsearch index and add the results to a document at indexing time.”

Read more at Business Wire.

Image used under license from Shutterstock.com

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