Kushagra Sharma's Blog Posts

Kushagra Sharma

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.

Splunk Named a Leader in the 2026 IDC MarketScape for Worldwide SIEM
Security
5 Minute Read

Splunk Named a Leader in the 2026 IDC MarketScape for Worldwide SIEM

We’re thrilled to share that Splunk has been named a Leader in the IDC MarketScape: Worldwide SIEM 2026 Vendor Assessment.
Community Spotlight: Why Will Searle Swears by $tstats$, Git, and the Forums
Customers & Community
9 Minute Read

Community Spotlight: Why Will Searle Swears by $tstats$, Git, and the Forums

We're sitting down with long-time Splunk Community member, Will Searle, who embodies the ultimate "every day is a school day" mindset.
Powering IT / OT Cybersecurity for Manufacturing in the AI Era
Security
5 Minute Read

Powering IT / OT Cybersecurity for Manufacturing in the AI Era

We’re thrilled to share that Splunk has been named a Leader in the IDC MarketScape: Worldwide SIEM 2026 Vendor Assessment.
Gen-AI Anomaly Detection Powered by the Cisco Deep Time Series Model
Platform
6 Minute Read

Gen-AI Anomaly Detection Powered by the Cisco Deep Time Series Model

Splunk now delivers Gen-AI driven time series anomaly detection powered by the Cisco Deep Time Series Model, a zero-shot, generative AI foundation model built specifically for machine data.
The AI Paradox and the Hidden Costs of Downtime
Cio Office
4 Minute Read

The AI Paradox and the Hidden Costs of Downtime

Are your AI agents causing outages? Learn how to implement clear guardrails and observability to ensure AI acts reliably within your production environment.
Observability Challenges in Multi Agentic Environments
Artificial Intelligence
15 Minute Read

Observability Challenges in Multi Agentic Environments

Agentic AI workflows require new forms of observability that track decisions, tool usage, and interactions across multiple agents.