Logstash 7.2.0 released: Java plugins framework and various new integrations like JMS, Elastic App Search, and Google Cloud Storage.
Blog post from Elastic
Logstash 7.2.0 has been released, offering significant updates and new features that enhance its usability and integration capabilities. The release introduces general availability for Java plugins, allowing developers to create Logstash plugins using Java without Ruby dependencies, which improves performance and widens the contributor base. The revamped JMS input plugin enhances integration with JMS technologies, offering better stability and TLS security, though it requires manual installation until the 7.3.0 release. Additionally, the update supports data output to the self-managed version of Elastic App Search, facilitating data migration for custom Elasticsearch application searches, with plans to bundle this in future releases. Enhancements to Google Cloud Platform integrations include improved reading and writing capabilities with Google Cloud Storage, thanks to a new Java client for better performance. Users are encouraged to test these new features and provide feedback through various channels.
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