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.
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Contextual Observability: Using Tagging and Metadata To Unlock Actionable Insights
Learn how to transform raw telemetry into actionable insights by enriching it with consistent tagging and metadata. That’s the power of contextual observability.
From Chaos to Clarity: Managing Metrics at Scale in Splunk Observability Cloud
Learn how Splunk's Metrics Management capabilities provide visibility, control, and optimization to reduce costs and improve performance.
Build or Buy? Deciding the Best Path for Your Next AI Cybersecurity Tool
How to weigh the true costs of building or buying your AI solution
Leveraging Graph Neural Networks for Enhanced Security and Observability with Splunk
Discover how Graph Neural Networks (GNNs) enhance security and observability within Splunk. Learn to detect anomalies, predict threats, and optimize system performance using GNNs. Explore the power of graph analytics in your Splunk environment.
Active vs. Passive Monitoring: What’s The Difference?
Active and passive monitoring: which one is for you? Let’s look at the two methods, along with their use cases, data volumes, and control over the data.
SOAR & DSDL: Crossover for Agentic AI Workflow
In this blog, we explore the potential of utilizing Splunk SOAR for agentic AI workflow design and execution based on LLM-RAG functionalities from Splunk App for Data Science and Deep Learning (DSDL).