Elastic Observability 9.0/8.18 has announced several key capabilities, including the general availability of Elastic Distributions of OpenTelemetry (EDOT) which provides a stable OpenTelemetry ecosystem for production use. EDOT preserves OpenTelemetry-native schematic conventions and resource attributes for enhanced correlation and analysis. Additionally, LLM observability is now generally available, providing end-to-end insights for large language model applications. This capability is crucial for SREs as it provides visibility, traceability, and control over the behavior, performance, and potential failures of applications that integrate with LLMs. Other enhancements include performance and security enhancements to Logstash, Elastic Agent support for AWS EKS, and enhancements to Discover. Elastic Observability 8.18 and 9.0 is available now on Elastic Cloud, and can also be downloaded for a self-managed experience. The release also includes four LLM observability integrations, broadening the range of platforms where models can be observed. Furthermore, APM tracing of OpenAI-powered Python, Node.js, and Java applications with EDOT is now possible, and Elastic Security provides the ability to audit LLMs for malicious behavior.