Azure serverless

Create new apps by orchestrating event-based serverless architectures. Build connected services more easily using a simple API facade that abstracts API implementation complexity.

• Serverless workflow orchestration

  Integrate data and apps instead of writing complex glue code between disparate systems. Visually create serverless workflows with Azure Logic Apps and use your own APIs, serverless functions, or out-of-the-box software as a service (SaaS) connectors, including Salesforce, Microsoft Office 365, and Dropbox.

• Serverless API management

  Publish, secure, transform, maintain, and monitor APIs with Azure API Management, a fully managed service that offers a usage model designed and implemented to be an organic fit for serverless applications.

• Serverless messaging

  Simplify event-based application scenarios with Azure Event Grid. Connect serverless logic to events coming from multiple Azure services and external sources using the CloudEvents schema. Build distributed and scalable cloud solutions with connections across private and public cloud environments with the Azure Service Bus messaging infrastructure.

Create serverless apps using familiar tools right from your own developer environment and on your favorite operating system. Get first-class services to build, test and deploy functions, containers, and Kubernetes-based applications

• CI/CD for serverless

  Get unlimited, cloud-hosted private git repos with Azure DevOps. Easily set up continuous integration/continuous delivery (CI/CD), add automatic package management, automatically trigger builds, and deploy to Kubernetes, Azure Functions, Azure Web Apps, or any cloud.

• App development tools

  Build, run, and debug serverless applications with a comprehensive set of developer tools. Use emulators to develop your apps locally for advanced scenarios like Functions and Kubernetes, then easily target them to Azure when you’re ready to deploy.

Infuse your serverless applications with ready-to-use AI and machine learning algorithms. Improve productivity and reduce costs with autoscaling compute and DevOps for machine learning.

• Cognitive computing

  Enable your serverless apps to see, hear, speak, understand and interpret your user needs through natural methods of communication using Azure Cognitive Services via an API or deployed as containers on Kubernetes.

• Conversation bots

  Use Azure Bot Service to build intelligent bots that interact naturally with your users through channels such as text/SMS, Skype, Microsoft Teams, Slack, Office 365, and Twitter.

• Machine learning models

  Build, train, and deploy models on Azure Machine Learning, from the cloud to the edge.

• Azure SQL Database serverless

  Build apps faster, optimize price-performance, and simplify performance management for relational databases using Azure SQL Database serverless. Automatically scale compute based on workload demand and pay only for compute used per second. For further cost savings, automatically pause serverless databases and pay only for storage during inactive periods, then automatically resume when workload activity returns. All databases in Azure SQL Database including those using serverless are automatically updated, come with built-in high availability, and feature built-in machine learning for added security and performance.

• Azure Cosmos DB

  Use Azure Cosmos DB, a globally distributed, massively scalable, multi-model database service, to create database triggers, input bindings, and output bindings.

Build static web applications on Azure Blob storage or use it as massively scalable storage for unstructured data. Leverage storage events to respond to operations on blobs with multiple serverless architectures. Blob events are pushed through Event Grid to subscribers using Functions, Logic Apps, or even your own custom HTTP listener.

As serverless eliminates traditional infrastructure management tasks, it’s more important than ever that developers have the right instrumentation in place to help debug serverless apps. Gain full observability into your serverless apps using Azure Monitor, an extensible application performance management service to monitor your applications. Collect, analyze, and act on telemetry from your cloud and on-premises environments to maximize the availability and performance of your apps.

Easily develop and run massively parallel real-time analytics on multiple streams of data—including IoT—using Azure Stream Analytics. With no infrastructure to manage, process data on demand, scale instantly, and only pay per job. Quickly build real-time dashboards with Microsoft Power BI for a live command and control view.