Elastic 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.”
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...