Operations | Monitoring | ITSM | DevOps | Cloud

In part one of this series, I introduced you to Kubeflow, a machine learning platform for teams that need to build machine learning pipelines. In this section, we will learn how to take an existing machine learning project and turn it into a Kubeflow machine learning pipeline, which in turn can be deployed onto Kubernetes. As you are going through this exercise, think about how you can convert your existing machine learning projects into a Kubeflow one.

Hello and welcome to another issue of This Month in Qovery! Qovery helps developer to deploy their applications in the Cloud in just a few seconds. This is a monthly summary of its progress and community.

Jun 12, 2020 by StackStorm Team In recent news Extreme Networks open-sourced EWC and contributed all previously “enterprise only” features to the StackStorm project operating under the Linux Foundation. This is very exciting news for the project’s future and its users.

When it started to really get traction as a concept, almost 10 years ago, DevOps was primarily used to push rapid changes to web environments with minimal impact for the users. That might still be true today but DevOps as a concept evolved. A lot. We now rely on DevOps models to move at high velocity, adapting and developing at speeds that are light years away from anything we’ve seen before. It’s the way we deliver, test, monitor, and release functionalities.

Across the world, many network operators, fiber network wholesalers, municipalities, and local authorities are in a race to put fiber in the ground. New techniques and specialized tools have reduced the time it takes to deploy optical fiber and increased the amount of fiber held in a single duct, this makes the dream of providing fiber to every premise a cost-effective reality.

The pandemic has heightened IT leaders’ need for efficiency in managing what we’re seeing more and more as a hybrid cloud world. We recently polled IT leaders across the US and EMEA on their current challenges, changes, and goals around hybrid cloud deployments, infrastructure visibility, use of AI/ML, and more.

Marc Andreessen famously said, “Software is eating the world.” Dr. Steve Willmott subsequently retorted, “APIs are eating software.” This is because API based architectures are enabling companies to get away from monolithic architectures and move to microservices. Innovative, disruptive companies like Netflix, Airbnb, Uber, Square, and Slack all build their infrastructure and technology using APIs.