AI

Elastic appoints Abhishek Singh as General Manager for Observability

Former Datadog Vice President of Product Joins Elastic to Drive the Next Generation of AI-Powered Observability

Elastic® (NYSE: ESTC) (“Elastic”), the company behind Elasticsearch®, today announced the appointment of Abhishek Singh as general manager for Observability.

Singh will oversee the evolution of Elastic Observability, which converges all types of telemetry data, including metrics, logs, and traces for unified visibility and actionable AI-powered insights. He will help spearhead the delivery of rapid advancements like the Elastic AI Assistant for Observability, which leverages the power of generative AI and an organization’s own proprietary data to make problem resolution faster and easier for site reliability engineers (SRE) and DevOps engineers.

“Abhishek is a proven leader who will bring considerable experience and knowledge to Elastic as we innovate on the most widely deployed observability solution, built on the ELK Stack,” said Ken Exner, chief product officer. “His expertise across both product and engineering provides him with broad industry insight that will help us grow strategically and technically as a business.”

Prior to joining Elastic, Singh was vice president of Product at Datadog for approximately one year and brings with him 18 years of strategic and technical expertise gained in product design and development leadership roles, including at AWS, BlackRock, and Webscan. During his seven years at AWS, Singh was general manager for its observability solution, AWS X-Ray, in a role that spanned both business and engineering responsibilities.

“I’ve been impressed by Elastic’s innovative use of generative AI which allows an organization to use their proprietary data for context awareness that leads to more accurate solutions,” said Singh. “I look forward to working with Elastic to help enterprises break down silos by bringing together infrastructure, application, user, and business telemetry for end-to-end observability on a single AI-powered platform.”

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