We are pleased to announce the general availability of D2iQ Kaptain 1.1, the new version of our end-to-end platform for Machine Learning on Kubernetes. D2iQ Kaptain 1.1 builds on the Four Awesome Things from Kaptain 1.0.

Microsoft recently reported two widespread cryptomining attacks targeting Kubeflow, a popular cloud-native platform for machine learning (ML) workloads on Kubernetes. Attackers targeted Kubeflow installations using either the Kubeflow central dashboard interface or Kubeflow Pipelines interface for scheduling crypto-mining workloads.

In order to run Kubernetes in production, you need more than just the base Kubernetes, but a variety of other necessary add-on services, such as monitoring, security, disaster recovery, and more. However, navigating the cloud-native ecosystem is complex and rapidly changing, making it difficult to build a robust production platform required to run mission critical business services.

Containerization has evolved from the early days of Linux control groups to out-of-the-box solutions offered by cloud providers. Market analysts expect a rise to more than 70% of global organizations using one or more containers by 2023, a huge uptick from less than 20% of them running containers for their applications in 2019.

In a relatively short amount of time, Kubernetes has evolved from an internal container orchestration tool at Google to the most important cloud-native technology across the world. Its rise in popularity has made Kubernetes the preferred way to build new software experiences and modernize existing applications at scale and across clouds. With Kubernetes, companies can host workloads running on a single cloud, as well as workloads across multiple clouds.