Azure Container Apps
Azure Container Apps is a serverless container service for running microservices and containerized applications with built-in autoscaling, traffic splitting, and Dapr integration. It enables developers to deploy containers without managing complex infrastructure while supporting event-driven architectures and microservices patterns.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Azure Container Apps the way a machine reads it — 86 machine-readable artifacts across 5 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Azure Container Apps scores 69.1/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Azure Container Apps
Each block below is one kind of artifact we hold for Azure Container Apps. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 5
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Azure Container Apps Authentication API
Manage container app authentication
Azure Container Apps Container Apps API
Manage container apps
Azure Container Apps Jobs API
Manage container app jobs
Azure Container Apps Managed Environments API
Manage container app environments
Azure Container Apps Revisions API
Manage container app revisions
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Azure Container Apps API
OPEN COLLECTIONArazzo Workflows 13
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Azure Container Apps Activate Latest Revision
Find the most recent revision of an app, inspect it, and activate it if it is inactive.
ARAZZOAzure Container Apps Audit App Security
Read an app, then enumerate its secrets and authentication configurations for a security review.
ARAZZOAzure Container Apps Decommission App
Delete a container app and confirm it no longer appears in the resource group listing.
ARAZZOAzure Container Apps Deploy App Into New Environment
Create a managed environment, wait for it, then create a container app inside it and wait for that too.
ARAZZOAzure Container Apps Enable Dapr Sidecar
Enable the Dapr sidecar on a container app, wait for the new revision to provision, then list revisions.
ARAZZOAzure Container Apps Provision and Run Job
Create a manually triggered job, wait until it is provisioned, then start an execution.
ARAZZOAzure Container Apps Provision Container App
Verify the target environment is ready, create a container app, and poll until it is provisioned.
ARAZZOAzure Container Apps Provision Managed Environment
Create a managed environment and poll its provisioning state until it reaches Succeeded.
ARAZZOAzure Container Apps Restart Active Revision
Restart the active revision of an app and poll its revision replicas until it is running again.
ARAZZOAzure Container Apps Rotate and Verify Secrets
Write a new secret value to an app, wait for provisioning, then list secrets to confirm it is present.
ARAZZOAzure Container Apps Run Existing Job
Confirm a job is provisioned and manually triggerable, then start an execution.
ARAZZOAzure Container Apps Shift Revision Traffic
List an app's revisions, shift ingress traffic to a chosen revision, then wait for the change to apply.
ARAZZOAzure Container Apps Update App and List Revisions
Roll out a new image to a container app, wait for provisioning, then list the resulting revisions.
ARAZZOScroll within the panel for all 13 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Azure Container Apps Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Features 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Serverless Containers
Run containers without managing servers or Kubernetes cluster infrastructure.
Built-in Autoscaling
Automatically scale based on HTTP traffic, event messages, or custom KEDA scalers.
Traffic Splitting
Gradually shift traffic between container revisions for canary deployments and A/B testing.
Dapr Integration
Built-in support for the Dapr distributed application runtime for service discovery and state management.
Managed Environments
Shared networking and logging infrastructure for groups of container apps.
Dynamic Sessions
Secure, ephemeral code-interpreter and custom container sessions with data-plane REST APIs.
Jobs Support
Schedule and run containerized batch jobs on demand or on a schedule.
GPU Support
Deploy AI/ML workloads on GPU-enabled container instances.
Scroll within the panel for all 8 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Azure Container Apps Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Azure Container Apps API Rules
SPECTRALAzure Container Apps API Rules
SPECTRALJSON Schema 12
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AuthConfig
JSON SCHEMAConfiguration
JSON SCHEMAContainerApp
JSON SCHEMAContainerAppSecret
JSON SCHEMAContainer
JSON SCHEMAJobExecution
JSON SCHEMAJobExecutionTemplate
JSON SCHEMAJob
JSON SCHEMAManagedEnvironment
JSON SCHEMARevision
JSON SCHEMASecret
JSON SCHEMATemplate
JSON SCHEMAScroll within the panel for all 12 ·
JSON Structure 12
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Azure Container Apps Auth Config Structure
JSON STRUCTUREAzure Container Apps Configuration Structure
JSON STRUCTUREAzure Container Apps Container App Secret Structure
JSON STRUCTUREAzure Container Apps Container App Structure
JSON STRUCTUREAzure Container Apps Container Structure
JSON STRUCTUREAzure Container Apps Job Execution Structure
JSON STRUCTUREAzure Container Apps Job Execution Template Structure
JSON STRUCTUREAzure Container Apps Job Structure
JSON STRUCTUREAzure Container Apps Managed Environment Structure
JSON STRUCTUREAzure Container Apps Revision Structure
JSON STRUCTUREAzure Container Apps Secret Structure
JSON STRUCTUREAzure Container Apps Template Structure
JSON STRUCTUREScroll within the panel for all 12 ·
Examples 12
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Scroll within the panel for all 12 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Microservices Architecture
Deploy and scale individual microservices independently with built-in service discovery.
API Backend Deployment
Host REST APIs with automatic HTTPS, custom domains, and traffic management.
Event-Driven Processing
Process messages from Service Bus, Event Hubs, and storage queues with KEDA-based scaling.
AI and ML Workloads
Run AI inference workloads on GPU-enabled container instances with dynamic sessions.
Background Jobs
Run scheduled and on-demand batch jobs without maintaining dedicated infrastructure.
Dapr Microservices
Build microservices with Dapr for pub/sub messaging, service invocation, and state management.
Integrations 7
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Azure Kubernetes Service
Share underlying Kubernetes infrastructure while abstracting cluster management complexity.
Azure Container Registry
Pull container images directly from private ACR registries with managed identity.
Azure Service Bus
Trigger container app scaling based on Service Bus queue depth.
Azure Event Hubs
Process streaming data from Event Hubs with auto-scaling.
GitHub Actions
Deploy container apps directly from GitHub Actions CI/CD workflows.
Dapr
Built-in Dapr runtime support for distributed systems patterns.
Azure Monitor
Native integration with Azure Monitor and Log Analytics for observability.
Scroll within the panel for all 7 ·
Resources
Every other property we hold for Azure Container Apps — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 16
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 16 ·
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/azure-container-apps · machine-readable index on apis.io