Kubernetes Links & Resources to Keep You in the Know

August 20, 2019March 29, 2020 Mike Jochimsen Leave a comment

Our recent SNIA CSTI webcast, “Kubernetes in the Cloud (Part 3): (Almost) Everything You Need to Know about Stateful Workloads” offered a wealth of insight on how to address the challenges of running stateful workloads in Kubernetes. This webcast was the third installment of our Kubernetes in the Cloud webcast series and it is now available on-demand as are “Kubernetes in the Cloud (Part 1)” and “Kubernetes in the Cloud (Part 2).”

Our expert presenters, Paul Burt and Ingo Fuchs, have provided additional resources to help keep you in the know on Kubernetes. Here they all are:

Stateful Workloads on Kubernetes: (Almost) Everything You Need to Know

July 26, 2019March 29, 2020 Mike Jochimsen Leave a comment

Kubernetes is great for running stateless workloads, like web servers. It’ll run health checks, restart containers when they crash, and do all sorts of other wonderful things. So, what about stateful workloads? Large implementers like Uber say to avoid it if you can [1], and gurus like Kelsey Hightower echo that sentiment [2].

It’s the topic we’ll address on August 20^th at our live SNIA Cloud Storage Technologies Initiative webcast “Kubernetes in the Cloud (Part 3): Stateful Workloads.” In this session, we’ll explore when it’s appropriate to run a stateful workload in cluster, or out. We’ll discuss the best options for running a workload like a database on the cloud, or in the cluster, and what’s needed to set that up.

We’ll cover:

Understanding Kubernetes in the Cloud

March 25, 2019March 29, 2020 Mike Jochimsen Leave a comment

Ever wonder why and where you would want to use Kubernetes? You’re not alone, that’s why the SNIA Cloud Storage Technologies Initiative is hosting a live webcast on May 2, 2019 “Kubernetes in the Cloud.”

Kubernetes (k8s) is an open-source system for automating the deployment, scaling, and management of containerized applications. Kubernetes promises simplified management of cloud workloads at scale, whether on-premises, hybrid, or in a public cloud infrastructure, allowing effortless movement of workloads from cloud to cloud. By some reckonings, it is being deployed at a rate several times faster than virtualization.