Windows or Linux virtual machines (VMs) hosted in Azure.
Azure Virtual Machine Scale Sets
Scaling for Windows or Linux VMs hosted in Azure.
Azure Kubernetes Service
Cluster management for VMs that run containerized services.
Azure Service Fabric
Distributed systems platform that runs in Azure or on-premises.
Azure Batch
Managed service for parallel and high-performance computing applications.
Azure Container Instances
Containerized apps run on Azure without provisioning servers or VMs.
Azure Functions
An event-driven, serverless compute service.
networking
Service name
Service function
Azure Virtual Network
Connects VMs to incoming virtual private network (VPN) connections.
Azure Load Balancer
Balances inbound and outbound connections to applications or service endpoints.
Azure Application Gateway
Optimizes app server farm delivery while increasing application security.
Azure VPN Gateway
Accesses Azure Virtual Networks through high-performance VPN gateways.
Azure DNS
Provides ultra-fast DNS responses and ultra-high domain availability.
Azure Content Delivery Network
Delivers high-bandwidth content to customers globally.
Azure DDoS Protection
Protects Azure-hosted applications from distributed denial of service (DDOS) attacks.
Azure Traffic Manager
Distributes network traffic across Azure regions worldwide.
Azure ExpressRoute
Connects to Azure over high-bandwidth dedicated secure connections.
Azure Network Watcher
Monitors and diagnoses network issues by using scenario-based analysis.
Azure Firewall
Implements high-security, high-availability firewall with unlimited scalability.
Azure Virtual WAN
Creates a unified wide area network (WAN) that connects local and remote sites.
storage
Service name
Service function
Azure Blob storage
Storage service for very large objects, such as video files or bitmaps.
Azure File storage
File shares that can be accessed and managed like a file server.
Azure Queue storage
data store for queuing and reliably delivering messages between applications.
Azure Table storage
Table storage is a service that stores non-relational structured data (also known as structured NoSQL data) in the cloud, providing a key/attribute store with a schemaless design.
databases
Service name
Service function
Azure Cosmos DB
Globally distributed database that supports NoSQL options.
Azure SQL Database
Fully managed relational database with auto-scale, integral intelligence, and robust security.
Azure Database for MySQL
Fully managed and scalable MySQL relational database with high availability and security.
Azure Database for PostgreSQL
Fully managed and scalable PostgreSQL relational database with high availability and security.
SQL Server on Azure Virtual Machines
Service that hosts enterprise SQL Server apps in the cloud.
Azure Synapse Analytics
Fully managed data warehouse with integral security at every level of scale at no extra cost.
Azure Database Migration Service
Service that migrates databases to the cloud with no application code changes.
Azure Cache for Redis
Fully managed service caches frequently used and static data to reduce data and application latency.
Azure Database for MariaDB
Fully managed and scalable MariaDB relational database with high availability and security.
web
Service name
Service function
Azure App Service
Quickly create powerful cloud web-based apps.
Azure Notification Hubs
Send push notifications to any platform from any back end.
Azure API Management
Publish APIs to developers, partners, and employees securely and at scale.
Azure Cognitive Search
Deploy this fully managed search as a service.
Web Apps feature of Azure App Service
Create and deploy mission-critical web apps at scale.
Azure SignalR Service
Add real-time web functionalities easily.
IoT
Service name
Service function
IoT Central
Fully managed global IoT software as a service (SaaS) solution that makes it easy to connect, monitor, and manage IoT assets at scale.
Azure IoT Hub
Messaging hub that provides secure communications between and monitoring of millions of IoT devices.
IoT Edge
Fully managed service that allows data analysis models to be pushed directly onto IoT devices, which allows them to react quickly to state changes without needing to consult cloud-based AI models.
Big data
Data comes in all formats and sizes. When we talk about big data, we’re referring to large volumes of data. Data from weather systems, communications systems, genomic research, imaging platforms, and many other scenarios generate hundreds of gigabytes of data. This amount of data makes it hard to analyze and make decisions. It’s often so large that traditional forms of processing and analysis are no longer appropriate. Open-source cluster technologies have been developed to deal with these large data sets. Azure supports a broad range of technologies and services to provide big data and analytic solutions.
Service name
Description
Azure Synapse Analytics
Run analytics at a massive scale by using a cloud-based enterprise data warehouse that takes advantage of massively parallel processing to run complex queries quickly across petabytes of data.
Azure HDInsight
Process massive amounts of data with managed clusters of Hadoop clusters in the cloud.
Azure Databricks
Integrate this collaborative Apache Spark-based analytics service with other big data services in Azure.
AI
AI, in the context of cloud computing, is based around a broad range of services, the core of which is machine learning. Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. Using machine learning, computers learn without being explicitly programmed.
Forecasts or predictions from machine learning can make apps and devices smarter. For example, when you shop online, machine learning helps recommend other products you might like based on what you’ve purchased. Or when your credit card is swiped, machine learning compares the transaction to a database of transactions and helps detect fraud. And when your robot vacuum cleaner vacuums a room, machine learning helps it decide whether the job is done.
Service name
Description
Azure Machine Learning Service
Cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models. It can auto-generate a model and auto-tune it for you. It will let you start training on your local machine, and then scale out to the cloud.
Azure ML Studio
Collaborative visual workspace where you can build, test, and deploy machine learning solutions by using prebuilt machine learning algorithms and data-handling modules.
Cognitive
A closely related set (to AI) of products are the cognitive services. You can use these prebuilt APIs in your applications to solve complex problems.
Service name
Description
Vision
Use image-processing algorithms to smartly identify, caption, index, and moderate your pictures and videos.
Speech
Convert spoken audio into text, use voice for verification, or add speaker recognition to your app.
Knowledge mapping
Map complex information and data to solve tasks such as intelligent recommendations and semantic search.
Bing Search
Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call.
Natural Language processing
Allow your apps to process natural language with prebuilt scripts, evaluate sentiment, and learn how to recognize what users want.
DevOps
DevOps brings together people, processes, and technology by automating software delivery to provide continuous value to your users. With Azure DevOps, you can create build and release pipelines that provide continuous integration, delivery, and deployment for your applications. You can integrate repositories and application tests, perform application monitoring, and work with build artifacts. You can also work with and backlog items for tracking, automate infrastructure deployment, and integrate a range of third-party tools and services such as Jenkins and Chef. All of these functions and many more are closely integrated with Azure to allow for consistent, repeatable deployments for your applications to provide streamlined build and release processes.
Service name
Description
Azure DevOps
Use development collaboration tools such as high-performance pipelines, free private Git repositories, configurable Kanban boards, and extensive automated and cloud-based load testing. Formerly known as Visual Studio Team Services.
Azure DevTest Labs
Quickly create on-demand Windows and Linux environments to test or demo applications directly from deployment pipelines.
