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.

Splunking Microsoft Azure Monitor Data – Part 1 – Azure Setup
Tips & Tricks
5 Minute Read

Splunking Microsoft Azure Monitor Data – Part 1 – Azure Setup

Use Splunk to harness the power of the data that Azure Monitor makes accessible. Learn to install the Microsoft Azure Add-on for Splunk and set up data inputs.
Pivotal Cloud Foundry Health Monitoring
Platform
2 Minute Read

Pivotal Cloud Foundry Health Monitoring

Operational and Application level monitoring of your Pivotal Cloud Foundry environment
Strengthen Your SIEM And Be Ready For The GDPR
Security
1 Minute Read

Strengthen Your SIEM And Be Ready For The GDPR

When facing the GDPR, your SIEM solution can be a great support for your organisation's compliance strategy, but if not strengthened - it can also be your downfall.
Cyclical Statistical Forecasts and Anomalies - Part 3
Platform
7 Minute Read

Cyclical Statistical Forecasts and Anomalies - Part 3

The final of a three-part series on the basics of statistical anomalies and forecasting in Splunk to create brilliant alerts for single values moving through time
Configuring Okta SAML Single Sign On with Splunk Cloud - Using the Okta Splunk Cloud App
Tips & Tricks
11 Minute Read

Configuring Okta SAML Single Sign On with Splunk Cloud - Using the Okta Splunk Cloud App

A step-by-step in integrating Okta SAML to your Splunk Cloud instance using the Okta Splunk Cloud App
Understanding The Causes of Negative Customer Experience
Observability
3 Minute Read

Understanding The Causes of Negative Customer Experience

Diving into data to discover the causes of a negative customer experience