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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Managing IT Just Got Easier: Introducing the New Splunk App for Content Packs
We’re thrilled to announce the release of the Splunk App for Content Packs, an app that acts as a one-stop shop for prepackaged content and out-of-the-box searches and dashboards for common IT infrastructure monitoring sources, making it easy to get up and running with Splunk for IT use cases.
The Digital Experience Trap: Are Companies Going Pro With Amateur Tools?
What is the relationship between world-class athletes and world-class IT systems? Explore the similarities in preparation and performance and see how your company stacks up against the competition.
Data Exfiltration Detections: Threat Research Release, June 2021
Check out detections from the Splunk Threat Research team to detect data exfiltration – also known as data extrusion, data exportation, and data theft – in your environment.
Five Questions Your Organization Must Ask to Prepare For a Ransomware Attack
What questions should organizations be asking themselves and what steps should they take to prevent or mitigate the next ransomware threat? Splunk's Yassir Abousselham has put together a quick set of questions we’re asking at Splunk that can help you.
What's New with Splunk Enterprise Security 6.6?
Learn about the latest and greatest features of Splunk Enterprise Security 6.6.
Cyclical Statistical Forecasts and Anomalies – Part 5
When your datasets are far from simple, your anomaly detection techniques must evolve to scale with the growing complexity. In this blog, you will learn various ways to take your anomaly detection to the next level no matter the complexity of your data.