Elasticsearch End of Life Dates

Developers rely on a robust search engine to power their applications, and Elasticsearch has been a popular choice since its creation, providing a distributed and multitenant-capable full-text search engine. Maintained by Elastic, Elasticsearch is built on top of Apache Lucene, offering a scalable and flexible solution for searching and analyzing large volumes of data. With its HTTP web interface and support for schema-free JSON documents, Elasticsearch has become a staple in many development stacks, allowing developers to easily integrate search functionality into their applications. The fact that Elasticsearch is source-available has also contributed to its widespread adoption, as developers can modify and extend the code to suit their specific needs.

The Elasticsearch end-of-life landscape is complex, with a total of 11 versions released to date, of which 9 are no longer supported. Currently, only 2 versions remain active, with the latest stable version being 8.19.16. However, developers should be aware that version 8.19 is approaching its end-of-life date, which is scheduled for July 15, 2027. This means that any applications still relying on this version will no longer receive updates or security patches after this date, making it essential for developers to plan their upgrades accordingly. The most recent version to reach end-of-life was 9.3, which occurred on May 26, 2026, highlighting the need for developers to stay up-to-date with the latest versions of Elasticsearch.

From a security perspective, Elasticsearch has a total of 24 tracked CVEs, although none of these are considered critical. The most affected version is 9.0, which has 3 associated CVEs, emphasizing the importance of keeping Elasticsearch up-to-date to ensure the security of applications. While there are no critical vulnerabilities, developers should still take proactive steps to address any potential security issues by regularly updating their Elasticsearch installations and monitoring for any new vulnerabilities that may be discovered. By doing so, developers can help protect their applications and ensure the continued reliability and security of their search functionality.