Elastic has extended its Express Migration program to assist Splunk logging customers in transitioning to its next-generation observability solution, which addresses the challenges posed by fragmented observability in modern tech stacks. As enterprises increasingly adopt cloud, microservices, and generative AI technologies, Elastic offers a unified platform powered by the Elasticsearch Relevance Engine (ESRE) that integrates operational and business data, reducing costs and consolidating tools. The program introduces AI-based Automatic Import for easier data migration and custom integrations, alongside over 400 prebuilt integrations. Elastic's platform supports comprehensive AI and ML capabilities for proactive issue detection, with an open OTel-first architecture that ensures seamless integration with existing ecosystems. This initiative targets Splunk's limitations, such as high storage costs, slow queries, non-integrated ML capabilities, and siloed products, providing a scalable and future-proof observability solution. Elastic also offers enhanced visibility into generative AI applications through new observability features, including the Azure OpenAI integration, which provides detailed performance metrics and usage insights for Azure OpenAI-based applications.