Kubeflow 1.6 was released on September 7, and Charmed Kubeflow 1.6 (Canonical’s distribution) came shortly after, as it follows the same roadmap. Charmed Kubeflow introduces a new version of Kubeflow pipelines as well as model training enhancements.
8 September 2022- Canonical, the publisher of Ubuntu, announces today the release of Charmed Kubeflow 1.6, an end-to-end MLOps platform with optimised complex model training capabilities. Charmed Kubeflow is Canonical’s enterprise-ready distribution of Kubeflow, an open-source machine learning toolkit designed for use with Kubernetes. Charmed Kubeflow 1.6 follows the same release cadence as the Kubeflow upstream project.
The last few years have brought immense change in telco technology adoption trends, with the introduction of 5G, artificial intelligence (AI), the internet of things (IoT), cloud computing, and mobile edge computing.
Running or operating applications requires several tasks throughout their lifecycle: scaling instances, checking the health, integrating with other applications, running backups, and applying updates – to name a few examples. It’s a time and labour-intensive process. To automate these tasks, developers can implement scripts for repeated execution. This is where the software operator comes in.
The Canonical Kubernetes team is delighted to announce that Canonical Kubernetes 1.25 is now generally available, with Charmed Kubernetes joining our Microk8s release last week, following the release of upstream Kubernetes on 23 August. We consistently follow the upstream release cadence to provide our users and customers with the latest improvements and fixes, together with security maintenance and enterprise support for Kubernetes on Ubuntu.
Software operators are steadily revolutionising how we deploy and run complex distributed systems. They offer the promise of low-intervention, self-driving software – ideally leading to service reliability gains and better uptime. For an introduction to Kubernetes operators, check out our introductory webinar or download our guide to Kubernetes operators.
Encryption is key to protecting sensitive data. There are several methodologies using different cryptographic algorithms to convert plain text into cipher text. Navigating multiple methodologies and algorithms creates a complex, labour-intensive process for teams evaluating the cryptographic services offered within software components.
Modern organisations have become reliant on their IT capabilities, and at the heart of that infrastructure is a growing need to store data. Be it transactional databases, file shares, or burgeoning data lakes for business analytics. Traditionally, storage needs have been catered to by big iron hardware vendors, but over the last decade, more and more organisations have turned to open-source solutions such as Ceph running on commodity hardware.
There are a number of challenges to surmount for enterprises in the IoT sector, including having a short time to market, airtight security, a versatile update mechanism for hardware and software and mastering device management. The more planning and practical steps that are taken to address key considerations, the faster an IoT project can get to market and make an impact on the world.
We are happy to announce that Charmed Kubeflow 1.6 is now available in Beta. Kubeflow has evolved into an end-to-end MLOps platform for optimised complex model training. We’re looking for data scientists, ML engineers and developers to take the Beta release for a drive and share their feedback! Read on to learn more.
