Introduction to PagerDuty Event Intelligence

See how PagerDuty's Event Intelligence enables organizations to manage the behavior of digital signals at scale, and surfaces algorithmic insights to identify actionable signals among the noise.and surface algorithmic insights to identify actionable signals among the noise.

Watch a step-by-step tutorial on how to collect Microsoft IIS logs using InTrust.

This episode features Moving from Node.js to .NET and Raygun with John-Daniel Trask. John-Daniel is the Co-founder and CEO of Raygun, a software intelligence platform for web and mobile. He's been programming for many years, and is originally from New Zealand. Tune in and learn what prompted them to move to the .NET framework!

Raygun gives you a window into how users are really experiencing your software applications. Discover, diagnose and resolve production issues that are affecting end users with greater speed and accuracy.

Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open source community. During this meetup we’ll discuss the growing use of Kubernetes for data science and machine learning workloads. We’ll examine how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We’ll demo a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform.

Interfaces of advanced scheduling in Kubernetes are all over the place. They can be found in metadata objects, nodes and pods specs. In some scenarios, you may even have to touch Kubernetes configuration. Learn more from Oleg, Kublr's CTO.

Kubernetes considers several factors when scheduling pods and nodes. These include volumes, volume location, resource availability, and user-defined constraints. Hear more from Oleg, Kublr's CTO.

Get Windows Logs insights in 3 clicks!

Anodot’s Solutions Engineer and AI specialist, Steven Kirkpatrick, presents how leading gaming companies are leveraging the powerful anomaly detection capabilities of Anodot’s AI Analytics to proactively address business incidents in real time, minimizing revenue loss and identifying opportunities.