Amazon made strategic announcements related to container services at the re:Invent 2020 virtual event. Here is an attempt to deconstruct the container strategy of AWS….
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Microk8s is a small, lightweight, and fully conformant Kubernetes distribution from Canonical. It’s a minimalistic distribution focused on simplicity and performance. Given its footprint, Microk8s…
Google announced that Anthos, the strategic multi-cloud and hybrid cloud platform of Google Cloud, is generally available on bare metal infrastructure. While it may come…
Mirantis, the open source infrastructure company, has announced K0s, a brand new distribution of Kubernetes. According to Adam Parco, Vice President Of Engineering at Mirantis, K0s…
Teachable Machine is an experiment from Google to bring a no-code and low-code approach to training AI models. Anyone with a modern browser and webcam can…
This article is the last and final part of the Azure Arc series, where we explore Arc enabled data services. See Part 1, Part 2, and Part 3….
This month, Tensorflow, the open source machine learning and deep learning framework from Google, has turned five. TensorFlow has become the most popular tool and…
This post is the third of a four-part series this week exploring Microsoft Arc, and how it can be used as a control plane to manage services. Check back each day through Thursday for subsequent installments: (Part 1) (Part 2)
With RHEL as the edge-optimized OS, OpenShift as the container platform for edge and ACM as the multi-cluster control plane, Red Hat has a compelling portfolio for edge computing.
Over the last decade, the public cloud has evolved and matured to become the foundation of modern infrastructure. Hyperscale providers such as Amazon Web Services, Microsoft, and Google have built robust control plane and orchestration engines to handle the lifecycle of managed services such as virtual machines, containers, functions databases, Big Data clusters, IoT and edge devices, and more.
