Kushagra Sharma's Blog Posts

Splunker Jennifer Elkhouri explains how Splunk On-Call relieves on-call stress: clear alerting practices and defined workflows mitigate developer team burdens.

The Splunk Threat Research Team describes various methods attackers may leverage to monitor mailboxes, how to simulate them and how teams can detect them using Splunk’s out-of-the-box security content.

Splunkers Joanna Zouhour and Navtej Singh introduce Splunk's Archived Metrics, storing data affordably, enhancing accessibility, and reducing costs in Metrics Pipeline Management.

Splunker Paul Agbabian shares what's new in the Open Cybersecurity Schema Framework (OCSF) and how profiles can augment the natural structure of event classes and categories.

OpenTelemetry context with baggage can help you quickly find value, errors and maybe your luggage.

Splunk’s observability strategy has always put AI functionality at the centre. We have always recognised that, in order to make actionable sense of full fidelity data metric, event, log, and trace data streams, human cognition requires an automated assist which is precisely what AI brings to the table. As a result, throughout our observability portfolio, customers will find a variety of machine learning and pattern discovery algorithms being put to work, separating signals from noise, surfacing patterns of correlation, diagnosing root causes, and enabling remedial responses to incidents. AI, itself, is, of course, evolving at a rapid clip and with AI Assist, Splunk adds Generative or linguistic AI functionality to the mix. But what is linguistic AI and how does it relate to the non-linguistic or Foundational AI that Splunk has deployed in its products to date?