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In-person
November 12-15
Learn More and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Thursday November 14, 2024 5:25pm - 6:00pm MST
Picture this! You are running an application on a Kubernetes cluster & you notice that your nodes have been restarting and your users are noticing that your application is unreachable. As an engineer, you want to identify these failures in real-time & differentiate these from known states, at scale. But we know, static thresholds fail for dynamic metrics! This session explores real-time anomaly detection for cloud-native systems. We'll show you how to reduce MTTR and mean time to analyse by proactively identifying abnormal application behavior using statistical & machine learning algorithms on time series data from Prometheus. Learn to pinpoint issues, identify missing instrumentation, and visualize anomalies using Grafana. This session equips you to achieve faster issue resolution and maintain optimal application health. We'll demo practical techniques for metrics selection, anomaly detection and proactive issue identification to manage your cloud-native applications.
Speakers
avatar for Raj

Raj

Machine Learning Engineer, Apple Inc.
Raj Bhensadadia, a machine learning engineer with a passion for leveraging ML technologies to enhance monitoring and analysis of large scale systems and ensure robustness and performance of infrastructure and services.
avatar for Kruthika Prasanna Simha

Kruthika Prasanna Simha

Senior Software Engineer, Apple
Kruthika is a software engineer at Apple specializing in building ML enabled observability solutions. She holds a Masters in Computer Engineering and has specialized in Machine Learning. In her free time, she likes to dabble with Jupyter Notebooks for running experiments with data... Read More →
Thursday November 14, 2024 5:25pm - 6:00pm MST
Salt Palace | Level 1 | Grand Ballroom B
  Observability
  • Content Experience Level Any

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