Elastic® (NYSE: ESTC) ("Elastic"), the company behind Elasticsearch®, today announced the launch of Elastic AI Assistant for Observability and general availability of Universal Profiling™, providing site reliability engineers (SREs), at all levels of expertise, with context-aware, relevant, and actionable operational insights that are specific to their IT environment.
Today's IT operations teams face an ever-evolving roster of systems challenges and issues unique to their IT environment and are under pressure to address them urgently.
While Artificial Intelligence for IT Operations (AIOps) has helped to translate, streamline, and automate problem resolution, Elastic AI Assistant for Observability, powered by the advances of generative AI, makes it faster and easier. The AI Assistant does this by leveraging generative AI and proprietary data to deliver context-aware and more accurate remediation for SREs which reduces the learning curve and eliminates the need for manual data chasing across silos.
Powered by the Elasticsearch Relevance Engine™ (ESRE™), the Elastic AI Assistant accelerates time to resolution by democratizing understanding of application errors, log message interpretation, alert analysis, and suggestions for optimal code efficiency.
Additionally, Elastic's AI Assistant interface improves speed and collaboration across teams by allowing users to interactively chat and visualize all relevant telemetry cohesively in one place while also leveraging proprietary data and runbooks for remediation.
"With the Elastic AI Assistant, SREs can quickly and easily turn what might look like machine gibberish into understandable problems that have actionable steps to resolution," said Ken Exner, chief product officer, Elastic. "Since the Elastic AI Assistant uses the Elasticsearch Relevance Engine on the user's unique IT environment and proprietary data sets, the responses it generates are relevant and provide richer and more contextualized insight, helping to elevate the expertise of the entire SRE team as they look to drive problem resolution faster in IT environments that will only grow more complex over time."