Operations | Monitoring | ITSM | DevOps | Cloud

Linux

Canonical announces new enterprise-grade Ubuntu images designed for Intel IoT platforms

15 November 2022: Canonical announced today the availability of new enterprise-grade Ubuntu images designed for next-gen Intel IoT platforms. Purpose-built for industrial environments and use cases, the latest Ubuntu images on Intel hardware deliver the performance, safety, and end-to-end security enterprises expect from the most widely used Operating System (OS) among professional developers with latest Intel technologies pre-enabled and available.

How can the financial services sector tackle cloud concentration risk?

The use of cloud computing by financial institutions has significantly increased in the last few years, a trend that was further accelerated by the COVID-19 pandemic. In the next few years, financial institutions will need to continuously balance the pressure to innovate quickly while managing risk and combating financial crime.

RedHat OpenShift monitoring with Splunk's OpenTelemetry Operator

Do you have an instant view of all the full-stack automated operations in your OpenShift environment. Would you like to monitor your self-service provisioning as code, to better understand health and performance? Have you been struggling to resolve service issues and reduce the time taken for troubleshooting across all your Kubernetes deployment? We’ve got you covered!

A look under the hood at eBPF: A new way to monitor and secure your platforms

In this post, I want to scratch at the surface of a very interesting technology that Elastic’s Universal Profiler and Security solution both use called eBPF and explain why it is a critically important technology for modern observability. I’ll talk a little bit about how it works and how it can be used to create powerful monitoring solutions — and dream up ways eBPF could be used in the future for observability use cases.

Auto-scaling of Intel FlexRAN components based on MicroK8s and Ubuntu real-time kernel support

RAN has incrementally evolved with every generation of mobile telecommunications, thus enabling faster data transfers between user devices and core networks. The amount of data has increased more than ever with an increase in the number of interlinked devices. With existing network architectures, challenges lie in handling increasing workloads with the ability to process, analyse and transfer data faster. The 5G ecosystem requires virtual implementations of RAN.

Azure pricing explained

So, you’ve decided to use Azure as your primary cloud platform and want to calculate your infrastructure costs. You estimate them based on listed prices, and rest assured that your startup/project will meet its budget. And then, suddenly, at the end of the month, you receive an invoice from Azure for an amount two times higher than you originally expected.

A hands-on guide to work with MindSpore on Kubeflow

Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, models that enable cross-functional collaboration, automation, data analysis, and machine learning.

Charmed Kubeflow now integrates with MindSpore

On 8 November 2022, at Open Source Experience Paris, Canonical announced that Charmed Kubeflow, Canonical’s enterprise-ready Kubeflow distribution, now integrates with MindSpore, a deep learning framework open-sourced by Huawei. Charmed Kubeflow is an end-to-end MLOps platform with optimised complex model training capabilities designed for use with Kubernetes.