Azure Databricks & NetApp Files supported, EKS in AWS Now Scannable & Amazon MSK Workloads Supported
Cloudockit now enables you to document Azure Databricks and Azure NetApp files in reports and diagrams.
In case you are not familiar with Azure Databricks, it is a data analytics platform for Microsoft Azure. It offers 3 environments for developing data: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning.
According to Azure, Azure NetApp Files service is an enterprise-class, high-performance, metered file storage service. Azure NetApp Files supports any workload type and is highly available by default.
Use Cloudockit Tailored Diagrams to easily document them in your architecture diagrams and technical
EKS in AWS Now Scannable
EKS in AWS can now be scanned to allow Cloudockit to provide complete details on what is running inside your Kubernetes Cluster with extensive details such as Pods and Services. Find out more on how to connect your AWS Kubernetes to Cloudockit.
Amazon MSK Workload
Cloudockit now supports Amazon MSK (Managed Streaming Kafka) workloads. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. Start documenting your Amazon MSK Workloads today.
