Last modified: Jan 31 2026 at 10:09 PM 5 mins read

Examine Deployment Options for Cloud-Native Apps

Table of contents

  1. Overview
  2. Azure Container Services Comparison
  3. Detailed Service Descriptions
  4. Decision Tree
  5. Key Takeaways

Overview

Azure provides multiple hosting options for cloud-native applications. Each service is optimized for different scenarios and use cases. This guide helps you understand which Azure service best fits your containerized application needs.

Azure Container Services Comparison

ServiceBest ForKey StrengthManagement Level
Container AppsMicroservices & event-driven appsServerless containers with auto-scalingFully managed
App ServiceWeb applications & APIsIntegrated web hosting platformFully managed
Container Instances (ACI)Simple container tasksQuickest container deploymentMinimal management
Kubernetes Service (AKS)Complex orchestration needsFull Kubernetes controlSelf-managed cluster
FunctionsEvent-triggered codeFunction-as-a-Service (FaaS)Fully managed
Spring AppsJava Spring applicationsSpring-optimized platformFully managed
Red Hat OpenShiftEnterprise OpenShift workloadsFull OpenShift experienceManaged OpenShift

Detailed Service Descriptions

Azure Container Apps

What it is: Serverless platform for running containerized microservices and jobs.

Key Features:

  • Built on Kubernetes + open-source technologies (Dapr, KEDA, Envoy)
  • Automatic scaling based on HTTP traffic, events, or queues
  • Scale to zero when idle (pay nothing for unused capacity)
  • Service discovery and traffic splitting built-in
  • Supports scheduled and event-driven jobs

When to use:

  • ✅ Building microservices architectures
  • ✅ Event-driven applications
  • ✅ Want Kubernetes benefits without managing clusters
  • ❌ Need direct Kubernetes API access (use AKS instead)

Why teams choose it: Best balance of power and simplicity for containerized microservices.


Azure App Service

What it is: Fully managed platform for hosting web applications and APIs.

Key Features:

  • Deploy from code or containers
  • Integrated with Azure ecosystem (Functions, Container Apps, databases)
  • Built-in authentication, scaling, and monitoring
  • Support for .NET, Java, Node.js, Python, PHP

When to use:

  • ✅ Traditional web applications
  • ✅ REST APIs
  • ✅ Need integrated web hosting features
  • ❌ Complex microservices (use Container Apps instead)

Why teams choose it: Simplest path for deploying standard web applications.


Azure Container Instances (ACI)

What it is: On-demand container execution without orchestration.

Key Features:

  • Single containers or container groups
  • Hyper-V isolation for security
  • Per-second billing
  • No cluster management required

Key Limitation: No built-in load balancing, auto-scaling, or certificate management.

When to use:

  • ✅ Simple batch jobs
  • ✅ Task automation
  • ✅ Build agents
  • ✅ Testing and development
  • ❌ Production microservices (use Container Apps instead)

Why teams choose it: Simplest building block for running a single container quickly.


Azure Kubernetes Service (AKS)

What it is: Fully managed Kubernetes with complete API access.

Key Features:

  • Full Kubernetes control plane access
  • Run any Kubernetes workload
  • Complete control over cluster configuration
  • Integration with Azure services and monitoring

When to use:

  • ✅ Need Kubernetes API access
  • ✅ Complex orchestration requirements
  • ✅ Existing Kubernetes expertise
  • ✅ Migrate from on-premises Kubernetes
  • ❌ Want to avoid cluster management (use Container Apps instead)

Why teams choose it: Maximum flexibility and control for Kubernetes workloads.


Azure Functions

What it is: Serverless compute for event-driven code execution.

Key Features:

  • Function-as-a-Service (FaaS) programming model
  • Automatic scaling and event binding
  • Deploy as code or containers
  • Pay per execution (consumption plan)
  • Rich triggers and bindings (HTTP, timers, queues, databases)

When to use:

  • ✅ Event-driven functions
  • ✅ Scheduled tasks
  • ✅ Webhooks and APIs
  • ✅ Data processing pipelines
  • ❌ Long-running processes (use Container Apps instead)

Why teams choose it: Fastest way to deploy event-driven code without infrastructure management.


Azure Spring Apps

What it is: Managed service specifically for Java Spring Framework applications.

Key Features:

  • Optimized for Spring Boot and Spring Cloud
  • Built-in Spring configuration management
  • Service discovery, circuit breakers, and config servers
  • Blue-green deployments
  • Comprehensive monitoring and diagnostics

When to use:

  • ✅ Java Spring applications
  • ✅ Spring Boot microservices
  • ✅ Spring Cloud architectures
  • ❌ Non-Spring applications (use other services)

Why teams choose it: Best experience for Spring developers with infrastructure managed for you.


Azure Red Hat OpenShift

What it is: Managed OpenShift platform jointly operated by Red Hat and Microsoft.

Key Features:

  • Full OpenShift experience on Azure
  • Integrated product support from both Microsoft and Red Hat
  • Choose your own registry, networking, storage, CI/CD
  • Built-in source code management and container builds
  • Automated scaling and health management

When to use:

  • ✅ Existing OpenShift investment
  • ✅ Enterprise OpenShift requirements
  • ✅ Need Red Hat support and ecosystem
  • ❌ Starting fresh (consider AKS or Container Apps)

Why teams choose it: Seamless migration path for organizations already using OpenShift.


Decision Tree

Start here: What are you deploying?

  1. Web application or APIApp Service
  2. Event-driven functionsAzure Functions
  3. Java Spring applicationsAzure Spring Apps
  4. Existing OpenShift workloadsAzure Red Hat OpenShift
  5. Containerized applications:
    • Need Kubernetes API access? → AKS
    • Simple single container task? → Container Instances
    • Microservices or event-driven? → Container Apps ⭐ (Recommended starting point)

Key Takeaways

  • Azure Container Apps is the recommended starting point for most containerized microservices
  • App Service remains the best choice for traditional web applications
  • AKS provides full Kubernetes control when you need it
  • Functions excels at event-driven, short-lived operations
  • Container Instances is the simplest option for running a single container
  • Specialized services exist for Spring (Java) and OpenShift workloads