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.

AI Development is Cheap Until the Code Ships
Cto Office
5 Minute Read

AI Development is Cheap Until the Code Ships

AI makes software faster and cheaper to build, but not to operate. Learn how leaders can manage the security, telemetry, governance, and infrastructure costs.
Making Machine Data Easier to Onboard, Prepare and Trust with AI-Powered Data Management
Platform
10 Minute Read

Making Machine Data Easier to Onboard, Prepare and Trust with AI-Powered Data Management

AI-Powered Data Management helps teams turn raw, changing machine data into trusted, usable signals faster.
Digital Resilience in the Agentic Era at Splunk .conf26
Leadership
5 Minute Read

Digital Resilience in the Agentic Era at Splunk .conf26

Join Splunk at .conf26 to sharpen skills, hear first-hand customer stories, and explore the latest innovations.
Splunk Security Content for Threat Detection & Response: August 2026 Update
Security
5 Minute Read

Splunk Security Content for Threat Detection & Response: August 2026 Update

This blog post covers security content developed May 2026 – July 2026
4 RAG Metrics to Improve Retrieval and Generation
Artificial Intelligence
10 Minute Read

4 RAG Metrics to Improve Retrieval and Generation

Use these four key metrics—Context Relevance, Chunk Relevance, Context Adherence, and Completeness—to diagnose whether your RAG system is failing at retrieval or generation.
How To Choose a Vector Database Architecture
Artificial Intelligence
9 minute read

How To Choose a Vector Database Architecture

Choose the right vector database for your RAG systems. Compare database index structures, quantization methods, and deployment options to select the most suitable architecture.