D2iQ Kubernetes Platform is an enterprise-grade K8s distribution and centralized management plane.
DKP is D2iQ's enterprise Kubernetes platform and centralized Kubernetes management plane. DKP has both DKP Essential and DKP Enterprise tiers, as well as Kaptain, our AI/ML add-on for both CPU or GPU. DKP is available with Premium 24x7 support or Confirmed Stateside Support (CSS) 24x7 options.
DKP Essential is an enterprise-grade Kubernetes distribution designed to help companies go into production quickly and easily. Built on pure open-source Kubernetes to avoid vendor lock-in, DKP Essential provides platform services for networking, storage, logging, monitoring and more, all of which have been carefully selected from the CNCF landscape and rigorously tested to work together. CAPI autoscaling automatically scales infrastructure capacity based on the resource needs of the running workloads to reduce operational costs. DKP Essential operates across the full range of cloud, on-premise, edge, and air-gapped infrastructures and has support for various OSs, including immutable OSs.
DKP Enterprise, which includes and extends the functionality of DKP Essential, is a centralized management plane that acts as a single point of observability and control for your Kubernetes clusters. Taking a declarative approach to Kubernetes, DKP Enterprise leverages CAPI for infrastructure management and FluxCD for application lifecycle management. Detailed cost data, plus additional insights generated by D2iQ, ensure transparency of the cost and health of clusters. Multi-tenant logging and role-based policy allow organizations to allocate responsibility. Day 2 applications can be deployed in any Kubernetes managed or self-attached clusters on-premise, in the cloud, edge, and air-gapped scenarios.
Kaptain, our AI/ML add-on, is an enterprise end-to-end machine learning platform that provides a notebooks-first approach for data scientists. It runs on top of DKP, D2iQ’s enterprise Kubernetes platform, bringing models from prototype to production faster. It comes with an independent Kaptain SDK, a Python API that abstracts away underlying Kubernetes details, allowing data scientists to focus on building, tuning, and deploying models. The Jupyter notebooks that data scientists use are pre-installed with many top libraries such as SciPy and Keras, and with frameworks such as PyTorch and Tensorflow. The DKP AI/ML add-on has out-of-the-box GPU support, and is certified on Nvidia’s DGX platform and can be deployed in HPC (high performance computing) clusters.