Operations | Monitoring | ITSM | DevOps | Cloud

The process of delivering mobile apps utilizing cloud technology is known as mobile cloud computing (MCC). Complex mobile apps today carry out activities including authentication, location-aware features and providing users with customized communication and content. As long as your device is online, mobile cloud computing enables you to store and access data anywhere. This makes it possible for data to be sent without difficulty anytime required.

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.

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.

These three top cloud providers are used daily by millions of users across the world – but what sets them apart? We take a magnifying glass to the features that matter.