Elastic APM 6.4.0 introduces several enhancements aimed at improving flexibility, search capabilities, and automation in application performance monitoring. The release supports Logstash and Apache Kafka as outputs for APM Server, allowing more versatile infrastructure configurations and enabling additional data processing before reaching Elasticsearch. The Kibana APM UI now features a powerful search bar for filtering transactions and errors in real-time, leveraging Elasticsearch's capabilities. Additionally, machine learning integration has been added to detect anomalies in service response times, simplifying the process of setting up alerts. The update also includes the promotion of Real User Monitoring (JavaScript) and Ruby agents to general availability, with new instrumentation added for Python and Node.js, as well as the recent promotion of Java and Go agents to beta. Looking ahead, Elastic is working on distributed tracing support to help troubleshoot latency issues in microservice architectures, inviting user feedback and community engagement through various channels.