The fourth and final Kubernetes release of 2017 is here. Kubernetes 1.9 brings a bunch of changes, including the fact that the Apps Workloads API is now stable. Let’s have a look at the highlights.
Kubeflow brings composable, easier to use stacks with more control and portability for Kubernetes deployments for all ML, not just TensorFlow.
It is always fascinating to see the versatile ways in which machine learning can be used. At Outfittery, algorithms help the experts select the most suitable outfits for customers — quite literally. In an interview at W-JAX 2017 in Munich, Jesper Richter-Reichhelm, CTO at Outfittery GmbH, explains how the company uses machine learning and which frameworks they use. He also tells us who makes better suggestions — human beings or machines.
The Docker platform and Moby Project are integrating support for Kubernetes. As of now (you can register for beta access here), developers and operators can build apps with Docker and seamlessly test and deploy them using both Docker Swarm and Kubernetes.
This release is *not* about introducing new features — instead, its aim is to strengthen existing ones. In short, Kubernetes 1.8 “represents a snapshot of many exciting enhancements and refinements underway.” Let’s see some of the highlights.
Looking for a serverless option for Kubernetes? Introducing Kubeless. This new Kubernetes-native serverless framework provides auto-scaling, API routing, and more without having to worry about the underlying infrastructure.
Google Container Engine is getting a Kubernetes upgrade. This latest collaboration between Google Cloud and Codefresh brings a faster, easier CI/CD pipeline for container deployment.
Moving from the monolith to microservices has a lot of advantages. In part two of this tutorial, Michael Gruczel finishes his step-by-step tutorial teaching developers how to implement microservices architecture in Kubernetes and Pivotal Cloud Foundry with Spring Boot.
Moving from the monolith to microservices has a lot of advantages. In part one of this tutorial, Michael Gruczel starts his step-by-step tutorial for developers who want to implement microservices architecture in Kubernetes and Pivotal Cloud Foundry with Spring Boot.
Kubernetes 1.7 focuses on three things: security, storage and extensibility features. There’s also a major feature that adds automated updates to StatefulSets and enhances updates for DaemonSets. Read on to find out what else is new.
Fission is a new framework for serverless functions on Kubernetes. It focuses on high performance and developer productivity by allowing developers focus on the task and hand, not on infrastructure. Fission is still in early alpha, so you should not use it in production just yet.
A future-proof IT infrastructure is becoming an increasingly decisive competitive advantage for companies. This is because the customer expectations for apps and websites are growing constantly. To ensure seamless processes and prevent limitations to functionality at all times, companies require tools that guarantee speed, stability and scalability.
Apache Mesos 1.0 is out! We talked to Michael Hausenblas from Mesosphere about efficient use cases for Apache Mesos, differences between Mesos, Kubernetes and Docker Swarm and changes in version 1.0.
Prometheus 1.0 was launched last week —it delivers a stable API and user interface. In short, “Prometheus 1.0 means upgrades won’t break programs built atop the Prometheus API, and updates won’t require storage re-initialization or deployment changes.” Let’s allow Björn Rabenstein, engineer at SoundCloud and Prometheus core developer, to tell us all everything we need to know about this release.