D2iQ, an independent Kubernetes platform, announced version 2.1 of the D2iQ Kubernetes Platform (DKP). The latest update of DKP improves automation for DevOps to enable more efficient operations while enhancing the power and flexibility of Kubernetes.
With full integration of GitOps workflows for easier management of Kubernetes clusters in production environments, DKP 2.1 reduces the operational loads on developer teams.
DKP 2.1 allows organisations to quickly scale production workloads by providing real-time data to support an application’s life cycle, management of EKS and AKS clusters, simplified air-gapped installation, and single-command cluster provisioning and de-provisioning. In addition, DKP supports NVIDIA’s DGX line of dedicated ML/AI machines, providing more flexibility when deploying Kubernetes clusters at scale, the company said in release.
DKP 2.1 allows organisations to quickly scale production workloads by providing real-time data to support an application’s life cycle, management of EKS and AKS clusters, simplified air-gapped installation, and single-command cluster provisioning and de-provisioning. In addition, DKP supports NVIDIA’s DGX line of dedicated ML/AI machines, providing more flexibility when deploying Kubernetes clusters at scale.
DKP 2.1 is also said to improve automation for DevOps, allowing for full lifecycle management of EKS and AKS clusters within D2iQ Kommander.
