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!
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.
Need to set up and run Kubernetes on different cloud providers, import existing clusters, monitor and check the health of your clusters and deploy your applications in production? This training will introduce you to the steps and concepts needed to do all those tasks with Kubernetes and Rancher 2.0.
In this talk, we take a look at both log-linear and cumulative histograms and how they provide advantages over storing data as quantiles, averages, and other histogram implementations, such as linear and fixed-bucket.
With the transition to containers and Kubernetes well underway the need to view and monitor your application performance has never been greater. There are several different ways to implement a logging solution within a container based infrastructure. From security and compliance to on-prem vs hybrid there are many important factors to consider when you build out your logging infrastructure.