The journey to support nanosecond timestamps in Elasticsearch

The ability to store dates in nanosecond resolution required a significant refactoring within the Elasticsearch code base. Read this blog post for the why and how on our journey to be able to store dates in nanosecond resolution from Elasticsearch 7.0 onwards. Elasticsearch supports a date mapping type that parses the string representation of a date in a variety of configurable formats, converts this date into milliseconds since the epoch and then stores it as a long value in Lucene.
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Elastic Cloud on Kubernetes: Automating Elasticsearch and Kibana on Kubernetes

Elasticsearch, following the emergence of Kubernetes as the de facto standard for orchestrating containers, launches Elastic Cloud on Kubernetes (ECK). Let’s have a look at what ECK brings to the Kubernetes ecosystem. The Elasticsearch team takes the next steptowards their commitment to make it easier for users to deploy and operate Elastic products and solutions in Kubernetes environments. Elastic Cloud on Kubernetes (ECK) is built using the Kubernetes Operator pattern, installs into your Kubernetes cluster and does more than just simplifying the task of deploying Elasticsearch and Kibana on Kubernetes.
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Sonic, the lightweight search engine backend is an alternative to Elasticsearch

Looking for a lightweight alternative search backend to Elasticsearch? Sonic is a search backend written in Rust. It aims for a low CPU footprint and uses around 30 MB of RAM. See its speed benchmarks and its search query features. Find out how to get started. According to the DB-Engines Ranking, Elasticsearch is currently in the top ten database management systems. Despite its popularity and usage, alternative tools exist for users who feel that Elasticsearch does not meet their specific use cases.
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