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.

From a Slow Trace to the Slow Method: Introducing Call Graph Profiling in Splunk APM
Observability
4 Minute Read

From a Slow Trace to the Slow Method: Introducing Call Graph Profiling in Splunk APM

See how Call Graph Profiling in Splunk APM connects trace latency to method-level execution, helping operations and development teams find and fix slow code faster.
Measure AI by Cost-Per-Outcome
Artificial Intelligence
8 Minute Read

Measure AI by Cost-Per-Outcome

An agent fleet can produce an invoice down to the penny without showing whether the spend bought useful work
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
Stop Budgeting for Tokens. Start Budgeting for Outcomes.
Artificial Intelligence
7 Minute Read

Stop Budgeting for Tokens. Start Budgeting for Outcomes.

AI budget decisions are moving toward consumption and outcome metrics.