This page provides definitions for Google Distributed Cloud (GDC) air-gapped appliance terms.
A
- admin cluster
- A cluster that combines the control plane and worker node as well as user clusters and workloads. It manages shared services with dedicated hardware and virtual resources and spans three bare metal nodes.
- API endpoint
- A service config aspect that specifies the network address, also known as a service endpoint. For example,
aiplatform.googleapis.com. - Artifact registry
- A single place for your organization to manage system container images, operating system (OS) images for bootstrapping bare metal hosts, Debian packages and kernels for in-place OS upgrade, OS images for KubeVirt virtual machines that form a user cluster, and bundles to support GDC services.
C
- cell config
- Set of YAML-formatted Kubernetes resource definitions that specify the initial GDC configuration.
- cluster
- A set of nodes that run containerized applications. In Kubernetes, a cluster is a grouping of multiple nodes that runs containerized applications.
- ClusterSelector
- A
ClusterSelectorcustom resource is a special type of config that uses Kubernetes label selectors. You can use aClusterSelectorcustom resource to limit which clusters a particular config applies to, based on the cluster's labels. You can also use aClusterSelectorcustom resource to limit which clusters instantiate a namespace-scoped object. - config
- A config is a Kubernetes configuration declaration written in YAML or JSON. To read and apply a config to a cluster to create or configure a Kubernetes object or resource in that cluster, GDC uses Config Sync. Config Sync is an open source tool that lets Application Operators and Platform Administrators deploy consistent configurations and policies. A config contains configuration details you apply to a Kubernetes cluster using
kubectl editorkubectl apply. You must store configs in a repository. - config sync
- A config sync lets Application Operators and Platform Administrators deploy consistent configurations and policies. You deploy these configurations and policies to individual Kubernetes clusters, and multiple namespaces within clusters.
- constraint
- A constraint is a set of rules and parameters that govern interaction with a Kubernetes cluster. By defining one or more constraints, Policy Controller lets you enforce a policy for a Kubernetes cluster. After a constraint is installed, requests to the API server are checked against the constraint and are rejected if they do not comply.
- constraint template
- A constraint template defines the schema and logic of the constraint. You source constraint templates from Google and third parties or write your own.
- constraint template library
- The constraint template library is a collection of pre-built policies included with Anthos Policy Controller for common security and compliance controls.
- control plane
- A cluster's controlling unit, consisting of a set of components that schedule and manage workloads, communicate with clusters, and ensure that clusters are functioning. Control planes include the etcd key-value datastore, the Kubernetes API server, the scheduler, and the controller manager.
- custom resource
- A custom resource is an instance of a kind defined by a custom resource definition.
D
- deployment model for a workload
- A plan to deploy one or multiple instances of the workload, and how GDC distributes those instances.
- data plane
- In networking, the data plane is where the action takes place. It includes forwarding tables, routing tables, Address Resolution Protocol (ARP) tables, queues, tagging, and re-tagging. The data plane carries out the commands of the control plane. In the data plane, the routers and switches use what the control plane built to dispose of incoming and outgoing frames and packets. Some get sent to another router, for example. Some might get queued up when congested. Some might get dropped if congestion gets poor.
G
- Google Distributed Cloud (GDC) air-gapped appliance
- A human-portable device that has Google Distributed Cloud air-gapped deployed on it, for use outside of data centers, such as in the field or in other remote sites.
- Google Distributed Cloud air-gapped
- A Google Cloud product that delivers a managed software platform running on certified hardware to deliver Google Cloud services and other services.
- GKE
- Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines grouped together to form a cluster.
K
- Kubernetes-based workload
- A user workload that deploys Kubernetes
Podobjects. The Application Operator creates pods that run on a single user cluster. - Kubernetes namespace
- A Kubernetes namespace helps different projects, teams, or customers share a Kubernetes cluster.
L
- long-running operation
- A long-running operation is a running program that takes a long time to complete.
M
- management plane
- A service or API surface used to manage resources which host your data or workload. It represents service components that control the lifecycle of a resource such as create, read, update, and delete.
N
- node
- A machine in a Kubernetes cluster. In the context of GDC, a node is either a bare metal machine or a virtual machine. A node might run on VM-based workloads directly, or a node might be part of a cluster that runs Kubernetes-based workloads.
- node pool
- A node pool is a group of nodes within a cluster that all have the same configuration.
O
- organization
- A root resource for all resources a single customer owns. GDC has one organization per device. An organization might contain multiple projects.
P
- project
- A logical grouping of related resources into a single access boundary. Multiple projects within an organization share the underlying compute, storage, and network resources. A project might contain workloads with multiple virtual machines or Kubernetes resources. One project aligns to one Kubernetes namespace. The namespace is reserved across the system cluster and any user clusters.
S
- service
- A Kubernetes object that logically groups a set of pods and defines a policy by which to access them.
- single-tenancy
- A single instance of the software and supporting infrastructure that serves a single customer.
- Security information and event management (SIEM, SEM, and SIM)
- The real-time analysis of security alerts generated by network hardware and applications. Vendors sell SIEM as software, as appliances, or as managed services. These products are also used to log security data and generate reports for compliance purposes. This segment of security management deals with real-time monitoring, correlation of events, notifications, and console views.
- StatefulSet
- A Kubernetes object meant for stateful applications. Pods managed by a
StatefulSetobject get a unique, permanent identity in their cluster.
U
- user cluster
- A cluster composed of multiple virtual machine nodes running on the admin cluster. The Platform Administrator can provision multiple user clusters up to the available compute capacity. Kubernetes-based workloads deploy to a user cluster.
- user workloads
- Any custom code that the Application Operator deploys to GDC. This can include VM-based workloads or Kubernetes-based workloads.
V
- VM-based workload
- A user workload that deploys to virtual machines (VM). The Application Operator creates VMs that run directly on the admin cluster.