Integrating Datica’s core authentication mechanism with kubectl.
The datikube CLI utility is a new component that helps users authenticate against kubectl.
The datikube CLI utility is how customers interact with the Datica authentication component. Additionally, this is how we intend to provide other functionality for adding, scaling and managing infrastructure resources.
Prepping our vulnerability scanning deployment. This component is centrally managed within the Datica CCMS.
Datica provides vulnerability scanning by utilizing NESSUS.
Our development team is preparing our monitoring stack configuration for general availability.
Datica deploys a prometheus monitoring stack for all clusters. Promethus comes with an alerting UI as well as a Grafana instance.
Preparing our logging stack configuration to handle PHI.
Logging is a central component of managing compliance in the cloud. Datica deploys an Elasticsearch, FluentD and Kibana (EFK) stack with all clusters.
Intrusion detection is a core compliance requirement. Our IDS is being prepped for general availability.
Datica deploys an itrusion detection system into each customer cluster. We use Wazuh for both IDS and AV management.
We’re looking to automate all of our CoreOS updates.
CoreOS is a central component of the Datica Kubernetes platform.
This functionality gives users the option to scale individual worker nodes (odd sizing).
Scaling workers is a core function of managing infrastructure.
This feature gives users the ability to add new workers to their cluster.
Adding worker nodes gives users the option to scale their resource capcity at will.
Cloud Compliance Management System: Reporting
This feature gives users the ability to download specific compliance reports.
Cloud Compliance Management System: User Management
We plan to implement functionality for broader authentication support (Active Directory, etc.).
Kubernetes: Windows Availability
This feature captures the work required to support Windows environments on the Datica Kubernetes Platform.
This feature provides auto-scaling functionality.
This feature gives users the ability to remove/delete workers as needed.
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