Azure Container Apps
azure.microsoft.comRun containerized apps and jobs on serverless compute that can scale with HTTP traffic or events.
Run containerized apps and jobs on serverless compute that can scale with HTTP traffic or events.
A Java testing library that starts disposable Dockerized dependencies for integration tests.
Containerized browser for managed business applications
Model source changes, build tasks, and releases as resource-driven pipelines.
Build, test, publish, and deploy containerized applications to Kubernetes.
Deploy persistent services and one-off container tasks, choosing Fargate or other AWS compute capacity.
Run source-built or containerized web services on managed, autoscaling infrastructure.
Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.
Run container tasks on AWS without provisioning the underlying servers or clusters.
Run containerized batch tasks on demand or on a schedule without managing execution servers.
Run free, open-source CI/CD pipelines with containerized workflow steps.
Run containerized apps, source builds, functions and batch jobs on IBM's managed serverless runtime.
Ingest operational metrics and events, detect anomalies, and connect alerts to service context and response workflows.
Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.
Deploy Dockerized web applications and managed databases with Aptible handling container releases and the underlying application infrastructure.
Build, sign, distribute, test, and publish mobile apps through a configurable CI/CD pipeline.
A client-side workflow tool for building, testing, and deploying Kubernetes applications.
Compose Kubernetes-native tasks into build, test, and deployment pipelines.
Develop, debug, and deploy Kubernetes applications through a shared CLI workflow.
Build, test, and deploy applications on Windows, Linux, or macOS build machines.
Build and run services, jobs, databases, and release workflows on Northflank or in your own cloud.
Launch containerized applications as globally placed virtual machines using the Fly CLI.
Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.
Launch isolated Linux or Windows containers in Azure without provisioning virtual machines.