Elastic introducces AI Assistant for Observability

Elastic has launched Elastic AI Assistant for Observability and 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 democratising 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 visualise 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 contextualised 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." 

"The impact and value of generative AI dramatically increase when it has access to an enterprise's proprietary data," said Torsten Volk, analyst at Enterprise Management Associates. "It's exciting to see how Elastic's AI Assistant for Observability may help customers achieve a state where generative AI provides role and situation-specific recommendations, problem resolutions, and suggested efficiency enhancements, all based on the customer's own data sources. At the same time, helping keep that information private from the generic AI model that lives in the public cloud." 

Elastic Announces General Availability of Universal Profiling  

Complex cloud-native environments often create blind spots for SRE teams since many components cannot be instrumented. Instrumentation overhead and deployment complexity of traditional monitoring systems are also limiting factors for modern application teams. To address these challenges, Elastic has launched Universal Profiling, with always-on zero instrumentation and low overhead, to pinpoint performance bottlenecks with visibility into third-party libraries, allowing expedited issue resolution while enabling organisations to reduce cloud costs and track and lower the carbon footprint of their infrastructure. 

"Elastic Universal Profiling has been a game-changer in optimising our operations, ensuring that AppOmni consistently delivers exceptional experiences and cost efficiency," said Drew Gatchell, Director, Detection

Engineering at AppOmni. "With its end-to-end visibility and data-driven insights, we can proactively identify and tackle performance bottlenecks to mitigate potential issues, enabling our teams to uphold peak performance and security for our customers."