Operations | Monitoring | ITSM | DevOps | Cloud

Kubeflow v1.0 was released on March 2, 2020 Kubeflow and there was much rejoicing. The banner announcement, “Cloud-Native ML for Everyone,” while clearly hyperbole, is evidenced by the streamlined command-line interface (CLI), informative and intuitive dashboard and comprehensive cloud provider documentation. Compounded with a best-in-class product suite supporting each phase in the machine learning (ML) lifecycle, Kubeflow stands unrivaled in the arena of ML standardization.

If you’ve followed our latest blog posts, you’ll have learned how to send metric data to Logz.io and visualize that data on Infrastructure Monitoring – our Grafana-based metrics monitoring solution that we made Generally Available on Monday. At this point you’ll have some nice looking Grafana dashboards in your account.

The world is full of linear relationships. When one apple costs $1 and two apples cost $2, it's easy to figure out the price of any number of apples. But what happens when you have 100s of data points? What if your data source is noisy? That's when it's helpful to use a technique called linear regression. In this article Julie Kent shows us how linear regression works, and walks through a practical example in Ruby.

I wrote a quick script the other day to pull some SCOM Alert data for testing and thought I’d share a summarized version for anyone looking for easy options to extract their SCOM data. The below sample script pulls all of the SCOM Alerts from your Management Group and pushes them via REST to a specified endpoint. Using the Operations Manager module makes this pretty quick and painless. I’ve called out a couple of easy tweaks you can make below to the script itself.