Automated root cause analysis and agentless log ingestion from GCP

Elastic Observability 7.15 introduces key enhancements such as automated correlations for efficient root cause analysis, frictionless log ingestion from Google Cloud Platform (GCP), and unified observability across application services. The update includes the general availability of automated correlations that help surface attributes correlated with high-latency or erroneous transactions, thereby streamlining troubleshooting processes for DevOps and SRE teams. The new version also provides agentless log ingestion from GCP, enhancing monitoring capabilities for native Google Cloud services, and integrates new data sources, including JRuby and Azure Spring Cloud logs. Additionally, Elastic Observability 7.15 offers improved visualization and workflow capabilities, with enhanced transaction latency distribution and trace selection features, along with the ability to visualize external dependencies, such as backends and caches. The self-managed version of the Elastic Package Registry is now available for air-gapped deployments, providing flexibility for environments with network restrictions. These developments underscore Elastic's commitment to providing comprehensive observability solutions that enhance the performance and reliability of modern applications.