Kushagra Sharma's Blog Posts
Kushagra Sharma is a Product Manager at Cisco working on AIOps products that help teams operate complex systems with intelligence and scale. He focuses on translating customer problems into practical, data-driven solutions at the intersection of AI, reliability, and software platforms. Passionate about clear thinking and strong product craft, Kushagra writes to share insights on technology, product strategy, and building systems that actually work in the real world.
Display Mode
Paginated
Filter
Author
Author URL
Limit
6

Using metadata & tstats for Threat Hunting
Behold the power of metadata and tstats commands! These commands will quickly provide situational awareness of your hosts and sourcetypes as you begin hunting.

Using stats, eventstats & streamstats for Threat Hunting…Stat!
The stats command is a crucial capability when you’re threat hunting. And so are two related commands: eventstats & streamstats. Get all the details, right here.

Meet the Splunktern: Calum Kuhn
In this installment of our 'Meet the Splunktern' series, we're featuring Calum Kuhn, a Sales Engineer Intern working remotely from Texas.

Perspectives Podcast: Leadership Lessons From Splunk CEO Gary Steele
Splunk CEO Gary Steele shares his perspective on AI, innovation and the current economic landscape — and reveals whether he’d ever appear on Undercover Boss.

MITRE ATT&CK: The Complete Guide
Threat actions are always one step ahead. Get ahead of them with the great information in MITRE ATT&CK, a go-to for all security pros. Get the full story here.
![Correlation Does Not Equal Causation - Especially When It Comes to Observability [Part 1]](https://www.splunk.com/content/dam/splunk-blogs/images/media_1689e906de625b54ea66cae7ac25f21eff657eedd/correlation-does-not-equal-causation-especially-wh.webp?width=300&format=webp&optimize=medium)
Correlation Does Not Equal Causation - Especially When It Comes to Observability [Part 1]
Observability has been tied up with causality from its origins in the mathematical realm of control theory in the early 1960s. But what precisely does the term ‘causality’ denote? In how does correlation come into play when it comes to observability? Read on to find out more.