Connect your favorite version control system to your API, and automatically deploy commits, which makes code changes easier than ever. Move your API to production, run tests against a copy of your app provided by deployment slots, and then redirect traffic to the new version without downtime. No code changes are required, and we keep the sign-on SDKs for your services up to date.
Connect your API to your corporate or local network using on-premises connections with enterprise-grade security. Serve APIs to your intranet as if they were running locally, or connect them to existing internal network resources. Deploying our APIs, for example, is something that would have been more complex if we had to do it on our own or used another hosting company without these out-of-the-box services.
Learn how to use API Apps with 5-minute quickstart tutorials and documentation. Enhance API Apps with additional features and products, like security and backup services. Quickly build and consume APIs in the cloud using the language of your choice. Continuous integration and deployment slots Connect your favorite version control system to your API, and automatically deploy commits, which makes code changes easier than ever.
On-premises connectivity Connect your API to your corporate or local network using on-premises connections with enterprise-grade security. Microsoft invests more than USD1 billion annually on cybersecurity research and development. We employ more than 3, security experts completely dedicated to your data security and privacy.
Azure has more compliance certifications than any other cloud provider. View the comprehensive list. Learn more about security on Azure. Learn more about API Apps pricing. See how customers are using Azure Api service.
Documentation and resources. Related products and services. Azure Monitor Full observability into your applications, infrastructure, and network.
Visual Studio App Center Continuously build, test, release, and monitor your mobile and desktop apps. Azure Functions Process events with serverless code.Once the opt-in has been completedownload invoices using the preview version of Invoice API.
The features include:. This feature is in first version of preview and may be subject to backward-incompatible changes. The API includes:.REST API concepts and examples
Azure spend during the month - Use the combination of the Usage and RateCard APIs to get better insights into your cloud spend during the month. You can analyze the hourly and daily buckets of usage and charge estimates. Set up alerts — Use the Usage and the RateCard APIs to get estimated cloud consumption and charges, and set up resource-based or monetary-based alerts.
Predict bill — Get your estimated consumption and cloud spend, and apply machine learning algorithms to predict what the bill would be at the end of the billing cycle. Pre-consumption cost analysis — Use the RateCard API to predict how much your bill would be for your expected usage when you move your workloads to Azure. If you have existing workloads in other clouds or private clouds, you can also map your usage with the Azure rates to get a better estimate of Azure spend.
This estimate gives you the ability to pivot on offer, and compare and contrast between the different offer types beyond Pay-As-You-Go, like Monetary commitment and Monetary credit. The API also gives you the ability to see cost differences by region and allows you to do a what-if cost analysis to help you make deployment decisions.
Invoice API code sample. Usage API code sample. RateCard API code sample. Skip to main content. Contents Exit focus mode. Callers must use standard Azure Active Directory tokens for authentication. Add the caller to either the Billing Reader, Reader, Owner, or Contributor role to get access to the usage data for a specific Azure subscription.
Note This feature is in first version of preview and may be subject to backward-incompatible changes. Is this page helpful? Yes No. Any additional feedback?Azure Data Share is a cloud-based service that helps customers share data with other organizations.
Azure Data Share provides centralized management, monitoring, and governance for sharing data from multiple Azure data sources. Using this service, you can quickly create shares that consist of multiple datasets from a variety of Azure data stores. You can invite your customers and external partners to access these shares through incremental snapshots of your data and revoke access as needed. Skip to main content. Contents Exit focus mode. Consumer Invitations Get, list, or reject invitations.
Consumer Source Data Sets List the source data sets of a share subscription. Data Set Mappings Create, delete, get, or list data set mappings in a share subscription. Data Sets Create, delete, get, or list data sets in a share. Invitations Create, delete, get, or list invitations. Provider Share Subscriptions Get, list, reinstate, or revoke share subscriptions in a provider share. Share Subscriptions Create, delete, get, or list share subscriptions.
Initiate or cancel a synchronization, and list synchronizations, synchronization settings, and synchronization details. Share Create, delete, get, or list shares. List synchronizations and synchronization details of a share.
Synchronization Settings Create, delete, get, or list synchronization settings in a share. Triggers Create, delete, get, or list triggers in a share subscription.
Yes No. Any additional feedback? Skip Submit. Is this page helpful? Provider Share Subscriptions. Create, delete, get, or list share subscriptions. Create, delete, get, or list shares.Get started with Azure Data Catalog.
This sample uses the Service Principal authentication. It also demonstrates how to take a set of assets serialized as JSON and push them into the catalog.
It supports exporting a subset of the catalog using a search query. Bulk register and annotate in Azure Data Catalog.
Bulk import glossary terms into Azure Data Catalog. Bulk import relationships into Azure Data Catalog. This sample shows you how to programmatically import relationship information from a CSV file into a data catalog.
Publish relationships into Azure Data Catalog. This sample shows you how can programmatically publish relationship information to a data catalog. Skip to main content. Contents Exit focus mode. Samples available on GitHub.
Bulk import relationships into Azure Data Catalog This sample shows you how to programmatically import relationship information from a CSV file into a data catalog. Publish relationships into Azure Data Catalog This sample shows you how can programmatically publish relationship information to a data catalog. Yes No. Any additional feedback? Skip Submit. Submit and view feedback for This product This page. View all page feedback. Is this page helpful?It describes how to format data collected by your script or application, include it in a request, and have that request authorized by Azure Monitor.
Examples are provided for PowerShell, Cand Python. This article was recently updated to use the term Azure Monitor logs instead of Log Analytics. Log data is still stored in a Log Analytics workspace and is still collected and analyzed by the same Log Analytics service. We are updating the terminology to better reflect the role of logs in Azure Monitor.
See Azure Monitor terminology changes for details. This might be a runbook in Azure Automation that collects management data from Azure or another cloud, or it might be an alternate management system that uses Azure Monitor to consolidate and analyze log data. All data in the Log Analytics workspace is stored as a record with a particular record type.
When you submit the data, an individual record is created in the repository for each record in the request payload. The next three tables list the attributes that are required for each request. We describe each attribute in more detail later in the article.
To authenticate a request, you must sign the request with either the primary or the secondary key for the workspace that is making the request. Then, pass that signature as part of the request. WorkspaceID is the unique identifier for the Log Analytics workspace. Then, you encode it by using Base64 encoding. Use this format:. The body of the message must be in JSON. It must include one or more records with the property name and value pairs in the following format.
Azure Data Explorer API Overview
You can batch multiple records together in a single request by using the following format. All the records must be the same record type. Currently, you can't write data to existing record types that were created by other data types and solutions. Azure Monitor reads the incoming data and then creates properties that match the data types of the values that you enter.
This helps ensure that there are no conflicts between user-created type names and those shipped in current or future Microsoft solutions. To identify a property's data type, Azure Monitor adds a suffix to the property name. If a property contains a null value, the property is not included in that record.
This table lists the property data type and corresponding suffix:.A comprehensive set of solutions that turn your data into actionable insights. That's a foundational tenet for us. But the data also informs decisions that drive our business forward. We use it to help us decide what features to build and what markets to go after. We use it to make decisions based on where and why growth is happening. Cortana Intelligence Suite has been really easy to get in place. It has great documentation, we were able to structure the data warehouse quickly, and it integrates seamlessly with Power BI.
The learning curve is almost nonexistent. The APS solution will help us be an innovator and a leader in the online banking industry. Analytics A comprehensive set of solutions that turn your data into actionable insights.
If you want Unparalleled performance at incredible value. Simply unmatched. Learn more. Customers are doing great things with Azure analytics products. DocuSign writes its name on a new market by treating data as a strategic asset. Read the story. Brazilian retailer stands out from the crowd with data analytics platform. Azure Synapse Analytics. Azure Databricks. Data Factory. Machine Learning. Azure Stream Analytics. A fully managed on-demand pay-per-job analytics service with enterprise-grade security, auditing, and support.
Azure API for FHIR
Data Lake Analytics. Azure Analysis Services.And by using Azure AI to make engagement with our services more human, we will certainly increase customer satisfaction and loyalty. The fact that you can predict that and know why you predicted it is really impactful. Explore how customers are using AI. Build mission-critical solutions that can analyze images, comprehend speech, make predictions using data, and imitate other intelligent human behaviors—all using Azure AI.
Only Azure empowers you with the most advanced machine learning capabilities. Optimize and accelerate ML inferencing and training. Develop models faster using automated machine learning. Easily deploy at scale with Kubernetes on Azure.
Manage your ML models across the cloud and the edge. A Python-based machine learning service with automated machine learning and edge deployment capabilities. An open source model format and runtime designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms. Uncover latent insights from all your content— documents, images, and media — with Azure Cognitive Search.
Using the only cloud search service with built-in AI capabilities, discover patterns and relationships in your content, understand sentiment, extract key phrases and more. Only search service with industry leading AI capabilities to easily extract insights from all your content.
Deliver breakthrough experiences in your apps with Cognitive Services and Bot Service. Access industry leading AI models that are being used today by millions in products such as OfficeXbox and Bing. Customize these models with your own data and deploy anywhere. Only Azure provides you with access to these battle-tested capabilities. A purpose-built bot development environment with out-of-the-box templates to get started quickly. Use AI to transform the way your organization makes sense of data.
Discover how organizations are applying knowledge mining to their existing content to uncover insights and understand relationships and patterns at scale. Understand, analyze, and predict data using machine learning concepts and tools.