MySQL and PostgreSQL compatible relational database built for the cloud. Commercial-grade database performance and availability at one-tenth the cost.

Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It offers the security, availability, and reliability of commercial databases at one-tenth the cost. Amazon Aurora is managed by Amazon Relational Database Service (RDS), which automates time-consuming administrative tasks such as hardware provisioning, database configuration, patching, and backups.

Amazon Aurora provides a distributed, fault-tolerant, self-healing storage system that automatically scales up to 128 TB per database instance. Amazon Aurora delivers high levels of performance and availability, with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Go to the Amazon RDS management console to create your first Aurora DB instance and start migrating MySQL and PostgreSQL databases.

Amazon Chime is a cloud-based application that lets you connect online within and outside your organization. With Amazon Chime, you have the flexibility to choose the features you need—for example, online meetings and video conferencing—and pay only when you use them.

Amazon Chime Voice Connector is a service that enables businesses to migrate their telephony workloads to AWS. IT professionals can use Voice Connector for low-cost SIP trunking from on-premises or cloud-based phone systems. Voice Connector supports inbound, outbound, or both. Developers can also use Voice Connector to create PSTN calls in their own applications using the Amazon Chime SDK to stream audio for phone call analytics and machine learning.

Fast, highly programmable, and secure content delivery network (CDN).

Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers around the world with low latency and high transfer speeds in a developer-friendly environment.

CloudFront offers the most advanced security features, including in-field encryption and HTTPS support, and seamlessly integrates with AWS Shield, AWS Web Application Firewall, and Amazon Route 53 to protect against a variety of attacks, including network-layer and application-layer DDoS attacks. These services reside together at globally scaled edge locations connected through the AWS network backbone, providing a more secure, performant, and available experience for your users.

CloudFront works easily with any AWS origin, such as Amazon S3, Amazon EC2, Elastic Load Balancing, or any custom HTTP origin. You can customize content delivery through CloudFront using the secure, programmable edge computing capabilities of CloudFront Functions and AWS Lambda@Edge.

Fast and flexible NoSQL database service for any scale.

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed, multi-region, multi-asset, durable database with security, built-in backup and restore, and in-memory caching for internet-scale applications. DynamoDB can process over 10 trillion requests per day and can handle peaks of over 20 million requests per second.

Many of the world's fastest-growing companies, including Lyft, Airbnb, and Redfin, as well as Samsung, Toyota, and Capital One, rely on the scale and performance of DynamoDB to power their mission-critical workloads.

Hundreds of thousands of AWS customers have chosen DynamoDB as their document and key-value database for mobile and web applications, gaming, ad tech, IoT, and many other industries that require low-latency access to data at any scale. Create a new table for your application and let DynamoDB do the rest.

Secure, scalable compute capacity to support virtually any workload.

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface lets you easily obtain and configure capacity. It gives you complete control over your compute resources and lets you work in Amazon’s proven compute environment.

Amazon EC2 offers the largest and most comprehensive compute platform with your choice of processor, storage, networking, operating system, and purchasing model. We offer the fastest processors in the cloud and are the only cloud with 400 Gbps Ethernet networking. We have the most powerful GPU instances for machine learning training and graphics workloads, as well as the lowest-cost inference instances in the cloud. More SAP, HPC, machine learning, and Windows workloads run on AWS than any other cloud. Click here to learn what’s new in Amazon EC2.

Fully managed in-memory data storage compatible with Redis or Memcached. Deliver sub-millisecond latency for real-time applications.

With Amazon ElastiCache, you can seamlessly set up, run, and scale open-source, in-memory data stores in the cloud. Build data-intensive applications or improve the performance of existing applications by retrieving data from high-throughput, low-latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases such as caching, session stores, gaming, geospatial services, real-time analytics, and queues.

Amazon ElastiCache offers fully managed Redis, named the preferred database by developers in the 2020 Stack Overflow Developer Survey, and Memcached for the most demanding applications that require sub-millisecond response times.

Protect your AWS accounts, workloads, and data with intelligent threat detection and continuous monitoring.

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. With the cloud, collecting and aggregating account and network activity is simplified, but it can be time-consuming for security teams to continually analyze event log data for potential threats. With GuardDuty, you now have an intelligent and cost-effective option for continuous threat detection on AWS. The service uses machine learning, anomaly detection, and built-in threat intelligence to identify and prioritize potential threats. GuardDuty analyzes tens of billions of events across multiple AWS data sources, including AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. With a few clicks in the AWS Management Console, you can enable GuardDuty without any software or hardware to deploy or maintain. With integration with Amazon CloudWatch Events, GuardDuty alerts are actionable, easy to aggregate across multiple accounts, and simple to deploy into existing event management systems and workflows.

Fast, reliable graph database built for the cloud.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. At the core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying graphs with millisecond latency. Amazon Neptune supports the common W3C graph models Property Graph and RDF, as well as their respective query languages TinkerPop Gremlin and SPARQL. This enables you to easily build queries that efficiently navigate highly connected datasets. Neptune serves graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure, with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, installation, configuration, or backups.

Analyze all your data with the fastest, most widely used data warehouse in the cloud.

Set up, operate, and scale a relational database in the cloud with just a few clicks.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale relational databases in the cloud. The service provides cost-effective, scalable capacity and automates time-consuming administration tasks such as hardware provisioning, database configuration, patching, and backups. So you can focus on the fast performance, high availability, security, and compliance that your applications need.

Amazon RDS is available in multiple DB instance types—optimized for memory, performance, or I/O—and offers six popular database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use AWS Database Migration Service to easily migrate or replicate existing databases to Amazon RDS.

A reliable and cost-effective way to route end users to Internet applications.

Amazon Route 53 is a highly available and scalable cloud-based Domain Name System (DNS) web service. It is designed to provide developers and businesses with a highly reliable and cost-effective way to direct end users to their Internet applications by translating names like www.example.com to the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Amazon Route 53 is also fully compatible with IPv6.

Amazon Route 53 efficiently connects user requests to infrastructure running on AWS, such as Amazon EC2 instances, Elastic Load Balancing load balancers, and Amazon S3 buckets, and can also be used to route users to infrastructure outside of AWS. You can use Amazon Route 53 to set up DNS health checks and route traffic to healthy endpoints, or to independently monitor the health of your application and its endpoints. Amazon Route 53 Traffic Flow makes it easy to manage traffic globally through a variety of routing types, including Latency Based Routing, Geo DNS, Geoproximity, and Weighted Round Robin, all of which can be combined with DNS failover to support a variety of low-latency and fault-tolerant architectures. Using Amazon Route 53’s simple visual traffic flow editor, you can easily manage how your end users are routed to your application’s endpoints—whether they are in a single AWS Region or distributed across the globe. Amazon Route 53 also offers domain name registration. You can purchase and manage domain names (such as example.com), and Amazon Route 53 automatically configures DNS settings for your domains.

Object storage built to store and retrieve any volume of data from any location.

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data across a variety of use cases, including data lakes, websites, mobile applications, backup and restore, archiving, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management capabilities so you can organize your data and configure fine-grained access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 nines) of durability and stores data for millions of applications for businesses around the world.

AWS Database Migration Service.

Migrate your databases to AWS with minimal downtime. Over 450,000 databases migrated via AWS Database Migration Service.

AWS Database Migration Service helps you migrate databases to AWS quickly and securely. Your source database remains fully operational during the migration, minimizing downtime for applications that rely on the database. AWS Database Migration Service can migrate data to and from most popular commercial and open source databases.

AWS Database Migration Service enables homogeneous migrations, such as from Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as from Oracle or Microsoft SQL Server to Amazon Aurora. With AWS Database Migration Service, you can continuously replicate data with high availability and consolidate databases into a petabyte-scale data warehouse by streaming data to Amazon Redshift and Amazon S3. Learn more about supported source and target databases.

When you migrate databases to Amazon Aurora, Amazon Redshift, Amazon DynamoDB, or Amazon DocumentDB (with MongoDB compatibility), you can use DMS free for six months.

IoT services for industrial, consumer and commercial use cases.

There are billions of devices in homes, factories, oil wells, hospitals, cars, and thousands of other places. As devices proliferate, you increasingly need solutions to connect them and collect, store, and analyze device data.

Easily and securely connect devices to the cloud. Scale reliably to billions of devices and trillions of messages.

AWS IoT Core lets you connect your IoT devices to the AWS cloud without having to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and reliably and securely process and route those messages to AWS endpoints and other devices. With AWS IoT Core, your applications can keep track of all your devices and communicate with them at any time, even when they’re not connected.

AWS IoT Core also makes it easy to use AWS and Amazon services such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that collect, process, and analyze data generated by connected devices, and take action on that data, without having to manage any infrastructure.

Run code without worrying about servers or clusters. Pay only for what you use.

AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers, building workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes. With Lambda, you can run code for virtually any type of application or backend service, all with zero administration. Simply upload your code as a ZIP archive or container image, and Lambda automatically and accurately allocates compute power and executes your code based on the incoming request or event, for any traffic size. You can configure your code to be automatically triggered by over 200 AWS services and SaaS applications, or call it directly from any web or mobile application. You can write Lambda functions in any language (Node.js, Python, Go, Java, and more) and use serverless or container tools like AWS SAM or the Docker CLI to build, test, and deploy your functions.