Elastic 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."
"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 organizations to reduce cloud costs and track and lower the carbon footprint of their infrastructure.
"Elastic Universal Profiling has been a game-changer in optimizing 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."
Read the blog for more information about Elastic AI Assistant for Observability and how Universal Profiling provides visibility into how application code and infrastructure are performing at all times.
The Latest
The edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure ...
While IT leaders are preparing organizations for accelerated generative AI (GenAI) adoption, C-suite executives' confidence in their IT team's ability to deliver basic services is declining, according to a study conducted by the IBM Institute for Business Value ...
The consequences of outages have become a pressing issue as the largest IT outage in history continues to rock the world with severe ramifications ... According to the Catchpoint Internet Resilience Report, these types of disruptions, internet outages in particular, can have severe financial and reputational impacts and enterprises should strongly consider their resilience ...
Everyday AI and digital employee experience (DEX) are projected to reach mainstream adoption in less than two years according to the Gartner, Inc. Hype Cycle for Digital Workplace Applications, 2024 ...
When an IT issue is not handled correctly, not only is innovation stifled, but stakeholder trust can also be impacted (such as when there's an IT outage or slowdowns in performance). When you add new technology investments and innovations into the mix, you have a recipe for disaster ...
To get a better understanding of the top issues facing IT teams in financial services, Auvik recently released its 2024 Financial Services IT Trends Report ... Not surprisingly, the experience of FinServ IT teams is significantly impacted by the onslaught of cyberattacks facing financial services organizations as well as the complex regulatory environment of this industry ...
The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures ...
When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution ...
The rapid rise of creative "right-brain" generative AI (GenAI) has opened the door to greater adoption of the more analytical "left-brain" AI decisioning solutions by global businesses, according to new research from Pegasystems ...