info@stackfactor.ai
StackfactorStackfactor
info@stackfactor.ai
← Back to Skills Library

Azure Kubernetes Service (AKS)

Information Technology > Cloud computing platforms

Description

Microsoft Azure Kubernetes Service (AKS) is a managed container orchestration service provided by Microsoft Azure, which simplifies the deployment, management, and scaling of applications packaged in containers. AKS abstracts away much of the complexity associated with setting up Kubernetes, allowing developers to focus on building their applications rather than managing the underlying infrastructure. It integrates seamlessly with Azure's ecosystem, offering features like automated upgrades, built-in monitoring through Azure Monitor, and advanced networking configurations. Users can scale resources up or down based on demand, ensuring efficient use of resources. With AKS, organizations can achieve high availability, security, and scalability for their containerized applications, making it an attractive choice for modern cloud-native development.

Stack

Microsoft Cloud

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

Individuals at this level have a basic understanding of Kubernetes and containerization. They are familiar with cloud computing and Azure's core services but lack hands-on experience.

🌱
LEVEL 2

Novice

Novices can create AKS clusters and deploy simple applications using the Azure portal and CLI. They understand basic monitoring, networking, and security principles in AKS but may require guidance.

🌍
LEVEL 3

Intermediate

At this stage, individuals automate deployments, implement CI/CD pipelines, manage storage, and secure clusters. They troubleshoot common issues and have a good grasp of monitoring and diagnostics.

⭐
LEVEL 4

Advanced

Advanced users design complex applications, integrate AKS with other services, and optimize performance. They understand advanced networking, implement disaster recovery strategies, and focus on cost optimization.

🏆
LEVEL 5

Expert

Experts contribute to AKS development, design scalable systems, and lead organizational adoption of best practices. They customize Kubernetes, mentor teams, and integrate emerging technologies with AKS.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Understanding virtualization
Container basics
Kubernetes architecture
Core components
Pods
Services
Volumes
Namespaces
Container orchestration
Use cases
Docker installation
Docker commands
Docker images
Docker containers
Dockerfile syntax
Docker Hub basics
Working with Docker Hub
Cloud service models
Deployment models
Service model characteristics
Advantages of cloud computing
Major cloud providers
Cloud pricing fundamentals
Azure portal basics
Virtual Machines
App Services
Blob Storage
File Storage
Queue Storage
Table Storage
Virtual Networks (VNETs)
Subnets
Network Security Groups (NSGs)
Azure SQL Database
Cosmos DB
🌱
LEVEL 2

Novice

Understanding the Azure dashboard
Using the Azure Cloud Shell
Choosing the right Kubernetes version
Determining the size and type of nodes
Creating system and user node pools
Scaling node pools
Integrating with Azure Active Directory
Implementing Kubernetes role-based access control (RBAC)
Reviewing networking options
Enabling monitoring and logging
Writing Dockerfiles
Building and tagging images
Creating an ACR instance
Authenticating with ACR
Defining pods and containers
Exposing applications using services
Installing kubectl
Interacting with the AKS cluster
Checking pod status
Accessing deployed applications
Downloading and installing Azure CLI
Logging into Azure account
Preparing the environment
Executing the cluster creation command
Manually adjusting node count
Configuring autoscaler
Upgrading Kubernetes version
Applying updates to node pools
Accessing container logs
Querying metrics with Azure Monitor
Configuring during AKS creation
Viewing container insights
Accessing AKS resource in Azure portal
Exploring monitoring and diagnostics options
Creating alert rules in Azure Monitor
Managing and reviewing alerts
Identifying critical performance metrics
Utilizing Azure Monitor and Kusto Query Language (KQL)
🌍
LEVEL 3

Intermediate

Setting up Azure DevOps project and service connections
Creating and managing Azure Pipelines for AKS deployments
Using Infrastructure as Code (IaC) tools like Terraform or ARM templates in pipelines
Integrating security tools and scans into the CI/CD process
Managing environment-specific configurations and secrets
Configuring source control repositories for application code
Defining build and release pipelines in YAML
Automating unit tests and integration tests within pipelines
Implementing blue-green or canary deployment strategies
Monitoring pipeline executions and troubleshooting failures
Understanding Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA)
Configuring HPA based on CPU and memory metrics
Setting up cluster autoscaler for dynamic node scaling
Utilizing custom metrics for autoscaling with Prometheus
Best practices for autoscaling in microservices architectures
Understanding persistent volumes (PV) and persistent volume claims (PVC)
Configuring Azure Disks and Azure Files as storage classes
Implementing dynamic provisioning of storage
Securing access to storage resources
Backup and recovery strategies for persistent data
Setting up Azure Monitor for containers
Configuring log analytics workspace for AKS
Querying and analyzing logs with Kusto Query Language (KQL)
Creating custom alerts and dashboards
Integrating with external monitoring tools via Azure Monitor
Implementing Kubernetes network policies for pod-to-pod communication
Configuring Azure Network Policies
Setting up RBAC for Kubernetes resources
Integrating Azure Active Directory with AKS for user authentication
Applying best practices for securing container images and registries
Diagnosing pod failure issues
Resolving service connectivity problems
Debugging performance bottlenecks
Investigating node health and scaling issues
Utilizing AKS diagnostic tools and logs for root cause analysis
⭐
LEVEL 4

Advanced

Defining and managing inter-container dependencies
Utilizing Helm charts for package management
Implementing effective logging and monitoring strategies across containers
Optimizing container resource utilization and performance
Configuring Azure Active Directory (AAD) integration for AKS authentication
Setting up Azure Container Registry (ACR) for private Docker images
Leveraging Azure Functions for serverless computing capabilities within AKS
Utilizing Azure Logic Apps for workflow automation involving AKS resources
Implementing Azure Key Vault for managing secrets in AKS applications
Deploying and configuring Istio/Linkerd on an AKS cluster
Defining traffic management rules for microservices communication
Implementing service-to-service security using mTLS
Observability with service mesh: collecting and analyzing metrics, logs, and traces
Using service mesh policies for fine-grained control over application traffic
Analyzing and optimizing container start-up times
Implementing resource requests and limits for workload stability
Using Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA)
Performance tuning of the underlying Kubernetes components
Load testing applications to identify bottlenecks and optimize performance
Choosing and configuring the appropriate Container Network Interface (CNI) plugin
Implementing advanced network policies for pod-to-pod communication
Setting up Ingress controllers and Load Balancers for external access
Configuring network peering between AKS and other Azure resources
Understanding and implementing IPv6 dual-stack configurations
Planning and implementing backup and restore procedures for AKS clusters
Designing high availability architectures across multiple regions
Automating disaster recovery using Azure Site Recovery
Testing disaster recovery plans to ensure RTO and RPO objectives are met
Managing stateful applications and persistent storage during failovers
Analyzing AKS resource utilization and identifying cost-saving opportunities
Implementing spot instances and reserved instances for cost efficiency
Optimizing cluster size and autoscaling settings
Leveraging Azure Cost Management tools for budgeting and cost analysis
Applying best practices for container image management to reduce costs
🏆
LEVEL 5

Expert

Installing necessary development tools
Creating a local Kubernetes development environment
Familiarizing with the build and test process for Kubernetes
Navigating the Kubernetes GitHub repository
Understanding the AKS and Kubernetes issue tracking process
Following coding and documentation standards
Monitoring community forums and discussions
Analyzing user feedback and reported issues
Proposing solutions and improvements
Implementing features and bug fixes
Documenting code changes and new features
Preparing and submitting pull requests
Participating in SIG meetings and mailing lists
Contributing to community events and conferences
Mentoring new contributors

Skill Overview

  • Expert2 years experience
  • Micro-skills157
  • Roles requiring skill0

Sign up to prepare yourself or your team for a role that requires Azure Kubernetes Service (AKS).

LoginSign Up