Kubernetes is the first CNCF project to graduate — this means it is “mature and resilient enough to manage containers at scale across any industry in companies of all sizes.” We talked with Chris Aniszczyk, COO of CNCF about Kubernetes’ popularity, what’s next for this technology and what other projects are in line for graduation.
As more and more enterprises are using Kubernetes in production, there are some key features and capabilities that are needed so that a Kubernetes solution is enterprise and production ready. Here, Bich Le provides a checklist of these key capabilities for Kubernetes installation and deployment. Take notes!
It’s been five months since Mesosphere added Kubernetes support on its DC/OS platform — the latest DC/OS release [1.11] makes it generally available. DC/OS 1.11 also includes a unified control plane for multi/edge cloud operations, as well as multi-layer security.
We’ve talked about how to control resource usage of containers, now it’s time to learn how to use resource quota and namespaces to manage multiple teams on your Kubernetes cluster.
How can you control resource usage of containers? Especially when you run containers in production at scale? In this article, Peter Arijs explains how you can utilize container resource limits and resource quotas to keep things in order.
Kubernetes has a new ally: Kublr delivers an open, easy-to-use, enterprise-grade Kubernetes platform that’s not tied to a single cloud, PaaS, OS. We talked with Slava Koltovich, CEO at Kublr, about the company’s plans to disrupt the Kubernetes market, how they intend to help advance Kubernetes adoption and more.
After the successful launch and positive reception of the NVIDIA Tesla GPUs for Google Kubernetes Engine, the folks at Google Cloud Platform have introduced GPUs in Kubernetes Engine for a wider audience. We take a look at what this leap forward means for machine learning.
Serverless has grown considerably in the past few years but is it ready to embrace its maturity? And does that mean running away from NoOps or toward it? In the last part of our interview series, we invited six JAX DevOps speakers to weigh in on the serverless movement, its “competition” with container-based cloud infrastructure and the challenges Kubernetes and Docker should be addressing this year.
It’s finally here! Four months ago, the Docker team announced that they would add optional Kubernetes to Docker Community Edition for Mac and Windows and now we’re already seeing results. Docker for Windows with beta support for using Kubernetes as your orchestrator is now available.
What does the future of DevOps look like? We asked Mark Pundsack, Head of Product at GitLab about his predictions for 2018. Expect to hear lots about DevSecOps, Kubernetes, containers, and more.
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.