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Showing 12 matching terms.
Containers
premium
Azure Kubernetes Service
Azure Kubernetes Service is Azure’s managed Kubernetes service for deploying, scaling, and operating containerized applications while Azure manages much of the cluster control plane.
Managed Kubernetes
advanced
6 commands
Aliases: AKS, managed Kubernetes
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Storage
premium
Service endpoint for Storage
A service endpoint for Storage enables the Microsoft.Storage endpoint on a virtual network subnet and pairs it with storage account network rules. It lets workloads in that subnet reach Azure Storage over the Microsoft backbone while the account firewall allows only approved virtual network sources.
Storage platform
intermediate
6 commands
Aliases: Azure Storage VNet rule, Microsoft.Storage service endpoint, Service endpoint for Storage, Storage service endpoint, service endpoint for storage, service-endpoint-for-storage
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Containers
premium
AKS cluster
Microsoft Learn describes Azure Kubernetes Service as a managed Kubernetes service for deploying and managing containerized applications. An AKS cluster provides the managed Kubernetes control plane, node pools, networking, identity, scaling, and Azure integration points for running containers in Azure production environments.
Azure Kubernetes Service
fundamentals
5 commands
Aliases: Azure Kubernetes cluster, AKS managed cluster, Kubernetes cluster in Azure
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Containers
premium
AKS Linux node pool
An AKS Linux node pool is a group of Linux-based nodes with shared configuration that runs Kubernetes workloads in an AKS cluster. Node pools let teams separate system components, application workloads, VM sizes, zones, scaling behavior, taints, labels, and upgrade settings.
AKS compute
Intermediate
5 commands
Aliases: Azure Kubernetes Service Linux node pool, aks linux node pool
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Containers
premium
KEDA
KEDA is the Kubernetes Event-driven Autoscaling component that scales workloads based on external event sources and metrics, including scale-to-zero scenarios.
Autoscaling
intermediate
5 commands
Aliases: Kubernetes Event-driven Autoscaling, event-driven autoscaler, KEDA scaler, scaled object
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Networking
premium
Application Gateway
Application Gateway is an Azure web traffic load balancer for HTTP and HTTPS applications. It routes requests by host name, path, listener, rule, backend pool, and health status, and can add TLS termination and Web Application Firewall controls when those features are configured.
Application delivery
fundamentals
4 commands
Aliases: Azure Application Gateway, App Gateway, regional layer 7 load balancer, HTTP application load balancer
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Containers
premium
AKS horizontal pod autoscaler
The AKS Horizontal Pod Autoscaler is the Kubernetes HPA capability used in AKS to automatically change the number of pod replicas for a workload based on observed metrics such as CPU, memory, or custom metrics.
Azure Kubernetes Service scaling
intermediate
3 commands
Aliases: HPA on AKS, horizontal pod autoscaler, Kubernetes HPA, pod autoscaling
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Containers
field-manual-complete
AKS cluster autoscaler
The AKS cluster autoscaler changes how many Kubernetes nodes are available in an Azure Kubernetes Service cluster. When pods are waiting because there is not enough room, it can add nodes to a node pool. When nodes sit underused, it can remove them safely after checks. It is not the same as scaling application replicas; it scales the infrastructure those replicas land on. Good settings keep workloads moving without leaving expensive virtual machines idle all week.
Azure Kubernetes Service
intermediate
5 commands
Aliases: cluster autoscaler, AKS node autoscaler, node pool autoscaler, CA on AKS
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Containers
field-manual-complete
Kubernetes Service
Microsoft Learn explains that Kubernetes Services in AKS expose applications through service types such as ClusterIP, NodePort, LoadBalancer, and ExternalName. LoadBalancer Services can create Azure load balancer resources, while internal load balancers use private IP addresses for restricted access. in production AKS clusters.
Kubernetes networking
intermediate
5 commands
Aliases: Kubernetes Service, aks-cluster, aks-ingress-controller, aks-network-policy, azure-kubernetes-service, ingress, kubernetes service, kubernetes-deployment, kubernetes-namespace, kubernetes-service, load-balancer, load-balancer-backend-pool, node-pool
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AI and Machine Learning
verified
Realtime endpoint
In Azure Machine Learning, a realtime endpoint is an online endpoint that exposes a model for real-time inferencing over HTTPS. It receives input data, routes traffic to one or more deployments, and returns predictions or other model outputs for interactive applications.
Azure Machine Learning
intermediate
5 commands
Aliases: online endpoint, real-time inference endpoint, managed online endpoint, Azure ML realtime endpoint
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Containers
premium field-manual
Maximum replicas
The maximum replicas setting is the upper bound that prevents an autoscaled workload from creating more replicas than the configured limit. Teams use it when teams need scale-out capacity but also need to protect budgets, downstream services, and quota. In plain English, it gives operators a named control for bounded scaling, predictable cost exposure, and safer dependency protection during traffic spikes instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear.
Azure Container Apps scaling
intermediate
4 commands
Aliases: Maximum replicas, max replicas, maxReplicas, replica cap, replica ceiling, maximum replica count, Azure Container Apps, Azure Container Apps scaling
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Containers
premium field-manual
Memory scale rule
A memory scale rule is a Container Apps scale rule that uses memory utilization to add or remove running replicas within configured limits. Teams use it when a container workload becomes memory-bound before HTTP traffic, CPU, or queue length fully explains pressure. In plain English, it gives operators a named control for pressure-based scaling for memory-sensitive services while keeping replica bounds visible instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear.
Azure Container Apps scaling
intermediate
4 commands
Aliases: Memory scale rule, memory autoscale rule, KEDA memory trigger, Container Apps memory scale, memory utilization scale rule, KEDA memory rule, memory based scale rule, KEDA memory scaler, Container Apps memory scaling, Azure Container Apps and KEDA autoscaling, Azure Container Apps scaling
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