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.

How Data Architecture Determines How Your Data Can Be Used
Learn
5 Minute Read

How Data Architecture Determines How Your Data Can Be Used

Data architecture determines how you can use your data. Read on to learn how to choose data storage, data pipeline and data management strategies.
The National Cyber Workforce & Education Strategy (NCWES) Explained
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5 Minute Read

The National Cyber Workforce & Education Strategy (NCWES) Explained

Learn about the National Cyber Workforce & Education Strategy, a U.S. program for shaping the future of cybersecurity by promoting cybersecurity education.
Splunktern Spotlight: Izabela Golec
Splunk Life
3 Minute Read

Splunktern Spotlight: Izabela Golec

Meet Izabela Golec, a Software Development Intern based in our Krakow, Poland office. She shares her experience at Splunk, tips for prospective interns at Splunk and her advise for females considering a career in tech.
How To Set Up Monitoring for Your Hybrid Environment
Observability
4 Minute Read

How To Set Up Monitoring for Your Hybrid Environment

Splunk meets the demands of today to deliver comprehensive observability in hybrid environments.
Using Amazon SageMaker to Predict Risk Scores from Splunk
Industries
5 Minute Read

Using Amazon SageMaker to Predict Risk Scores from Splunk

Splunker Nimish Doshi covers using Amazon SageMaker and Splunk to further develop a fraud detection use case to predict future risk scores.
Secure AI System Development
Learn
4 Minute Read

Secure AI System Development

CISA & NCSC have issued joint guidelines for developing secure AI systems. Let's understand these guidelines, so we can mitigate risk in AI development.