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.

Observability: It’s Not What You Think
Observability
4 Minute Read

Observability: It’s Not What You Think

Observability is not just metrics, traces, and logs. It is a mindset that lets you answer any question about your business through collection and analysis of data.
Cybersecurity’s Moneyball Transformation
Security
3 Minute Read

Cybersecurity’s Moneyball Transformation

What do baseball and cybersecurity have in common? Nothing, at first glance. But, take a deeper look and you can see the glaring similarities. That's because cybersecurity is going through its Moneyball transformation right now. Read this blog post to learn more.
Clop Ransomware Detection: Threat Research Release, April 2021
Security
4 Minute Read

Clop Ransomware Detection: Threat Research Release, April 2021

Discover how the Splunk Threat Research Team focused their research efforts on Clop Ransomware detections to help organizations detect abnormal behavior faster before it becomes detrimental.
TruSTAR Intel Workflows Series: Shifting from App-Centric to Data-Centric Security Operations
Security
4 Minute Read

TruSTAR Intel Workflows Series: Shifting from App-Centric to Data-Centric Security Operations

TruSTAR recently introduced API 2.O featuring TruSTAR Intel Workflows. This blog series will explain our motivations for building this feature, how it works, and how users can better inform security operations.
Deep Learning Toolkit 3.5 - Part 2: Change Point Detection, Matrix Profiles and LSTM-based Predictions
Platform
3 Minute Read

Deep Learning Toolkit 3.5 - Part 2: Change Point Detection, Matrix Profiles and LSTM-based Predictions

In the first part of this 2-part-series we talked about recent additions to version 3.5 of the Deep Learning Toolkit for Splunk (DLTK). Here in part 2 we want to explain a few new algorithmic approaches available for time series analysis. These can be especially interesting for anomaly detection and time series prediction.
Meet the Splunktern: Matthew Follegot
Splunk Life
5 Minute Read

Meet the Splunktern: Matthew Follegot

In this installment of our 'Meet the Splunktern' series, we’re introducing Matthew Follegot, our Back-End Software Engineer Co-Op on the Security Analytics (UEBA Cloud) team. Read on to learn more about Matthew's virtual Splunktern experience!