Deploying workloads to AKS in Azure - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is AKS in Azure?

AKS stands for Azure Kubernetes Service. It is a managed container orchestration service that simplifies deploying, managing, and scaling containerized applications using Kubernetes.

beginner

What is a workload in the context of AKS?

A workload is an application or service running inside containers on AKS. It can be a set of pods managed by Kubernetes controllers like Deployments or StatefulSets.

beginner

Which file format is commonly used to define workloads for deployment to AKS?

YAML files are commonly used to define Kubernetes workloads. They describe the desired state of applications, including containers, replicas, and networking.

beginner

What command is used to deploy a workload to AKS using kubectl?

The command is kubectl apply -f <filename>.yaml. It applies the configuration in the YAML file to the AKS cluster.

intermediate

Why is it important to monitor workloads after deploying to AKS?

Monitoring helps ensure workloads are running correctly, detect issues early, and maintain performance and availability. Tools like Azure Monitor and kubectl commands help with this.

What does AKS stand for?

A Azure Knowledge Suite

B Azure Key Storage

C Azure Kernel System

D Azure Kubernetes Service

AKS means Azure Kubernetes Service, which manages containerized applications.

Which tool is used to deploy workloads to AKS?

A kubectl

B az storage

C docker-compose

D terraform

kubectl is the command-line tool to manage Kubernetes workloads including on AKS.

What file format is typically used to define Kubernetes workloads?

A JSON

B YAML

C XML

D INI

YAML files are the standard for defining Kubernetes resources.

Which Kubernetes object manages the number of pod replicas in a workload?

A Service

B Ingress

C Deployment

D ConfigMap

Deployments manage pod replicas and updates for workloads.

Why should you monitor workloads after deployment to AKS?

A To ensure workloads run correctly and detect issues

B To increase the number of pods automatically

C To reduce cloud costs only

D To change the container image version automatically

Monitoring helps keep workloads healthy and detect problems early.

Explain the steps to deploy a simple workload to AKS.

Think about writing the configuration, applying it, and checking it runs well.

Describe why AKS is useful for deploying containerized applications.

Focus on how AKS helps manage containers easily.