The following are AWS services that are available with AWS China (Beijing) region operated by Sinnet, and AWS China (Ningxia) region operated by NWCD. Use of these services require AWS China regions accounts and acceptance of the Sinnet Customer Agreement for AWS (Beijing Region) and the NWCD Customer Agreement for AWS (Ningxia Region) respectively. All prices below are tax exclusive. For the available services list, please visit http://amazonaws.cn/about-aws/regional-product-services/ .
To use AWS information technology services outside of China, please create a separate global AWS Account at https://aws.amazon.com.
Simple, fast, cost-effective dedicated game server hosting.
Amazon GameLift is a managed service for deploying, operating, and scaling dedicated game servers for session-based multiplayer games. You can deploy your first game server in the cloud in just minutes, saving up to thousands of engineering hours in upfront software development and lowering the technical risks that often cause developers to cut multiplayer features from their designs. Built on the proven computing environment of Amazon Web Services (hereinafter referred to as “AWS”), Amazon GameLift lets you scale high-performance game servers up and down to meet player demand. You pay only for the capacity you use, so you can get started whether you’re working on a new game idea or running a game with millions of players.
Pre-configured environments to quickly build deep learning applications
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks such as Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, Pytorch, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.
Turn text into lifelike speech using deep learning
Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Amazon Polly is a Text-to-Speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
With dozens of lifelike voices across a variety of languages, you can select the ideal voice and build speech-enabled applications that work in many different countries.
One-on-one, Fast-response Support Channel
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with Mandarin speaking, experienced technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon AWS.
All AWS Support tiers offer customers of Amazon AWS an unlimited number of support cases with pay-by-the-month pricing and no long-term contracts. The four tiers provide developers and businesses the flexibility to choose the support tiers that meet their specific needs.
Connect devices to the cloud
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
AWS IoT makes it easy to use AWS services like Amazon Kinesis Streams, Amazon S3, Amazon DynamoDB, Amazon CloudWatch, and AWS CloudTrail, to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure.
Onboard, organize, monitor, and remotely manage connected devices at scale
As many IoT deployments consist of hundreds of thousands to millions of devices, it is essential to track, monitor, and manage connected device fleets. You need to ensure your scale and diversity of IoT devices work properly and securely after they have been deployed. You also need to secure access to your devices, monitor health, detect and remotely troubleshoot problems, and manage software and firmware updates.
AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. With AWS IoT Device Management, you can register your connected devices individually or in bulk, and easily manage permissions so that devices remain secure. You can also organize your devices, monitor and troubleshoot device functionality, query the state of any IoT device in your fleet, and send firmware updates over-the-air (OTA). AWS IoT Device Management is agnostic to device type and OS, so you can manage devices from constrained microcontrollers to connected cars all with the same service. AWS IoT Device Management allows you to scale your fleets and reduce the cost and effort of managing large and diverse IoT device deployments.
Message Queue Service
Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable, hosted queue for storing messages as they travel between computers. By using Amazon SQS, developers can simply move data between distributeds of their applications that perform different tasks, without losing messages or requiring each to be always available. Amazon SQS makes it easy to build an automated workflow, working in close conjunction with the Amazon Elastic Compute Cloud (Amazon EC2) and the other AWS infrastructure web services.
Amazon SQS works by exposing Amazon’s web-scale messaging infrastructure as a web service. Any computer on the Internet can add or read messages without any installed software or special firewall configurations. of applications using Amazon SQS can run independently, and do not need to be on the same network, developed with the same technologies, or running at the same time.
Push Notification Service
Amazon Simple Notification Service (Amazon SNS) is a web service that makes it easy to set up, operate, and send notifications from the cloud. It provides developers with a highly scalable, flexible, and cost-effective capability to publish messages from an application and immediately deliver them to subscribers or other applications. It is designed to make web-scale computing easier for developers.
Amazon SNS provides a simple web services interface and browser-based Management Console that can be used to create topics you want to notify applications (or people) about, subscribe clients to these topics, publish messages, and have these messages delivered over clients’ protocol of choice (i.e. HTTP, email, SMS, etc.). Amazon SNS delivers notifications to clients using a “push” mechanism that eliminates the need to periodically check or “poll” for new information and updates. Amazon SNS can be leveraged to build highly reliable, event-driven workflows and messaging applications without the need for complex middleware and application management. The potential uses for Amazon SNS include monitoring applications, workflow systems, time-sensitive information updates, mobile applications, and many others.
Create, Publish, Maintain, Monitor, and Secure APIs at Any Scale
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. With a few clicks in the AWS Management Console, you can create an API that acts as a “front door” for applications to access data, business logic, or functionality from your back-end services, such as workloads running on Amazon Elastic Compute Cloud (Amazon EC2), code running on AWS Lambda, or any Web application. Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. Amazon API Gateway has no minimum fees or startup costs. You pay only for the API calls you receive and the amount of data transferred out.
Workflow service for coordinating applications
Amazon Simple Workflow Service (Amazon SWF) is a workflow service for building scalable, resilient applications. Whether automating business processes for finance or insurance applications, building sophisticated data analytics applications, or managing cloud infrastructure services, Amazon SWF reliably coordinates all of the processing steps within an application.
With traditional development approaches, it is both time-consuming and costly to build and track processing steps that run at different times and have different durations while ensuring they are executed reliably and without duplication. When the execution of applications is distributed across multiple systems, the coordination of processing steps across those systems presents an added challenge. Using Amazon SWF, developers can structure the various processing steps in an application as “tasks” that drive work in distributed applications, and Amazon SWF coordinates these tasks in a reliable and scalable manner. Amazon SWF manages task execution dependencies, scheduling, and concurrency based on a developer’s application logic. The service stores tasks, reliably dispatches them to application s, tracks their progress, and keeps their latest state.
Amazon SWF is a fully managed service, with no hardware or software to administer, scale, tune, patch or upgrade. Amazon SWF provides simple API calls that can be executed from code written in any language and run on your EC2 instances, or any of your machines located anywhere in the world that can access the Internet. On-premises machines can simply open an Internet connection to request tasks from SWF APIs, requiring no changes to firewall rules. Detailed reporting on the current status and execution history of your workflows is available through the AWS Management Console.
Build distributed applications using visual workflows
AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly. Using Step Functions, you can design and run workflows that stitch together services such as AWS Lambda and Amazon ECS into feature-rich applications. Workflows are made up of a series of steps, with the output of one step acting as input into the next. Application development is simpler and more intuitive using Step Functions, because it translates your workflow into a state machine diagram that is easy to understand, easy to explain to others, and easy to change. You can monitor each step of execution as it happens, which means you can identify and fix problems quickly. Step Functions automatically triggers and tracks each step, and retries when there are errors, so your application executes in order and as expected.
Fast, Simple, Cost-effective Data Warehousing
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data using your existing business intelligence tools. You can start small with no commitments and scale to petabytes for less than a tenth the cost of traditional data warehouse solutions. Customers typically see 3x compression, reducing their costs significantly. Amazon Redshift’s data warehouse architecture allows you to automate most of the common administrative tasks associated with provisioning, configuring and monitoring a cloud data warehouse.
Amazon Redshift delivers fast query performance by using columnar storage technology to improve I/O efficiency and parallelizing queries across multiple nodes. Amazon Redshift has custom JDBC and ODBC drivers that you can download from the Connect Client tab of our console, allowing you to use a wide range of familiar SQL clients. You can also use standard PostgreSQL JDBC and ODBC drivers.
Fully managed, reliable, and scalable Elasticsearch service
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.
The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Virtual Private Cloud (VPC), AWS Key Management Service (KMS), Amazon Kinesis Data Firehose, AWS Lambda, Amazon Cognito and Amazon CloudWatch, so that you can go from raw data to actionable insights quickly and securely.
Hosted Hadoop Framework
Amazon Elastic MapReduce (Amazon EMR) is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).
Using Amazon Elastic MapReduce, you can instantly provision as much or as little capacity as you like to perform data-intensive tasks for applications such as web indexing, data mining, log file analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics research. Amazon Elastic MapReduce lets you focus on crunching or analyzing your data without having to worry about time-consuming set-up, management or tuning of Hadoop clusters or the compute capacity upon which they sit.
Real-Time Data Stream Processing
Kinesis Streams is a fully managed, cloud-based service for real-time data processing over large, distributed data streams. Kinesis Streams can continuously capture and store terabytes of data per hour from hundreds of thousands of sources such as website clickstreams, financial transactions, social media feeds, IT logs, and location-tracking events. With Kinesis Client Library (KCL), you can build Kinesis Applications and use streaming data to power real-time dashboards, generate alerts, implement dynamic pricing and advertising, and more. You can also emit data from Kinesis Streams to other AWS services such as Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Map Reduce (Amazon EMR).
Configurable AWS Access Controls
AWS Identity and Access Management (IAM) enables you to securely control access to AWS services and resources for your users. Using IAM you can create and manage AWS users and groups and use permissions to allow and deny their permissions to AWS resources.
IAM also enables identity federation between your corporate directory and AWS services. This lets you use existing corporate identities to grant secure access to AWS resources, such as Amazon S3 buckets, without creating new AWS identities for those users.
User Sign-up and Sign-in
Cognito Federated Identities enables you to sign-in users through social identity providers such as Google and Amazon or using your own identity solution. You can also let your users sign-in through identity providers that support Security Assertion Markup Language (SAML) such as Microsoft ADFS. When you use Amazon Cognito, your app is provided with temporary, limited-privilege credentials that it can use to access AWS resources. You can set granular access permissions on your AWS resources, for example, you can limit access to a folder within an S3 bucket to a particular app user, or enable unauthenticated users to access a restricted set of resources. This means your app can access the resources it needs and that you can follow security best practices by not hardcoding credentials in your app.
Host and Manage Active Dirctory
AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, enables you to use a highly available managed Microsoft Active Directory in the AWS Cloud. AWS Managed Microsoft AD helps you use Windows workloads in the AWS Cloud with actual Microsoft Active Directory (AD). You have the flexibility to keep your identities in your existing Microsoft AD or create and manage identities in your AWS managed directory. With AWS Managed Microsoft AD, your migrated AD-aware applications can use Windows integrated authentication. Users can also use their Microsoft AD credentials to sign in to AWS applications and services. AWS Managed Microsoft AD is available in standard and enterprise editions to scale to your size and performance requirements.
Resource and Application Monitoring
Amazon CloudWatch provides a reliable, scalable, and flexible monitoring solution that you can start using within minutes. You no longer need to set up, manage, and scale your own monitoring systems and infrastructure.
Amazon CloudWatch enables you to monitor your AWS resources in near real-time, including Amazon EC2 instances, Amazon EBS volumes, Elastic Load Balancers, and Amazon RDS DB instances. Metrics such as CPU utilization, latency, and request counts are provided automatically for these AWS resources. You can also supply your own logs or custom application and system metrics, such as memory usage, transaction volumes, or error rates, and Amazon CloudWatch will monitor these too.
With Amazon CloudWatch, you can access up-to-the-minute statistics, view graphs, and set alarms for your metric data to help you troubleshoot, spot trends, and take automated action based on the state of your cloud environment. Amazon CloudWatch functionality is accessible via API, command-line tools, the AWS SDK, and the AWS Management Console.
Configure and manage Amazon EC2 and on-premises system
Amazon EC2 Systems Manager is a management service that helps you automatically collect software inventory, apply OS patches, create system images, and configure Windows and Linux operating systems. These capabilities help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations. By providing a management approach that is designed for the scale and agility of the cloud but extends into your on-premises data center, EC2 Systems Manager makes it easier for you to seamlessly bridge your existing infrastructure with AWS.
EC2 Systems Manager is easy to use. Simply access EC2 Systems Manager from the EC2 Management Console, select the instances you want to manage, and define the management tasks you want to perform. EC2 Systems Manager is available now at no cost to manage both your EC2 and on-premises resources.
Templates for AWS Resource Creation
AWS CloudFormation gives developers and systems administrators an easy way to create and manage a collection of related AWS resources, provisioning and updating them in an orderly and predictable fashion.
You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources and any associated dependencies or runtime parameters required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work. CloudFormation takes care of this for you. Once deployed, you can modify and update the AWS resources in a controlled and predictable way allowing you to version control your AWS infrastructure in the same way as you version control your software.
Track user activity and API usage
AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. CloudTrail provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services. This event history simplifies security analysis, resource change tracking, and troubleshooting.
AWS resource inventory and configuration history
AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With Config, you can review changes in configurations and relationships between AWS resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines. This enables you to simplify compliance auditing, security analysis, change management, and operational troubleshooting.
Web-Based User Interface
The AWS Management Console provides a simple web interface for Amazon Web Services. You can log in using your AWS account name and password. If you’ve enabled AWS Multi-Factor Authentication, you will be prompted for your device’s authentication code.
Automate Code Deployments
AWS CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and servers running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.
Build and test code with continuous scaling.
AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers. CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue. You can get started quickly by using prepackaged build environments, or you can create custom build environments that use your own build tools. With CodeBuild, you are charged by the minute for the compute resources you use.
Create, Publish, Maintain, Monitor, and Secure APIs at Any Scale
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. With a few clicks in the AWS Management Console, you can create an API that acts as a “front door” for applications to access data, business logic, or functionality from your back-end services, such as workloads running on Amazon Elastic Compute Cloud (Amazon EC2), code running on AWS Lambda, or any Web application. Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. Amazon API Gateway has no minimum fees or startup costs. You pay only for the API calls you receive and the amount of data transferred out.
Global Content Delivery Network
To serve end users outside of China, AWS (China) recommends using Amazon CloudFront, a global content delivery network (CDN) service that integrates with other Amazon Web Services to give developers and businesses an easy way to distribute content to end users with low latency, high data transfer speeds, and no commitments. Amazon CloudFront uses a global network of edge locations, located near your end users in the United States, Europe, Asia, South America and Australia. Amazon CloudFront edge locations are currently not available inside of China.
Dedicated Network Connection to AWS
AWS Direct Connect makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish dedicated connectivity between AWS and your datacenter, office, or colocation environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than Internet-based connections.
Access services hosted on AWS easily and securely by keeping your network traffic within the AWS network
AWS PrivateLink simplifies the security of data shared with cloud-based applications by eliminating the exposure of data to the public Internet. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications, securely on the AWS service network. AWS PrivateLink makes it easy to connect services across different accounts and VPCs to significantly simplify the network architecture.
Easy migration of on-premises workloads to AWS
AWS Server Migration Service (SMS) is an agentless service which makes it easier and faster for you to migrate thousands of on-premises workloads to AWS. AWS SMS allows you to automate, schedule, and track incremental replications of live server volumes, making it easier for you to coordinate large-scale server migrations.
Migrate your databases to AWS with minimal downtime
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
The service supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL and allows you to stream data to Amazon Redshift, Amazon DynamoDB, and Amazon S3 from any of the supported sources enabling consolidation and easy analysis of data in a petabyte-scale data warehouse. AWS Database Migration Service can also be used for continuous data replication with high-availability.
Managed Relational Database Service
Amazon Relational Database Service (RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
Amazon RDS gives you access to several familiar database engines, including Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. This means that the code, applications, and tools you already use with your existing databases can be used with Amazon RDS.
Dynamic Databases in the Cloud
DynamoDB is a fast, fully managed NoSQL database service that makes it simple and cost-effective to store and retrieve any amount of data, and serve any level of request traffic. All data items are stored on Solid State Drives (SSDs) for high availability and durability.
With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
MySQL and PostgreSQL Compatible Relational Database Built for the Cloud
Amazon Aurora is a MySQL and PostgreSQL compatible relational database built for the cloud, that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial-grade databases at 1/10th the cost. Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial-grade databases at 1/10th the cost. Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
In-Memory Caching Service
ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports two widely adopted open-source engines – Memcached and Redis. The service is protocol compliant with both engines, so popular tools that you use today with existing Memcached and Redis environments will work seamlessly with ElastiCache.
Amazon ElastiCache automatically detects and replaces failed nodes, reducing the overhead associated with self-managed infrastructures and provides a resilient system that mitigates the risk of overloaded databases that slow website and application load times. Through integration with Amazon CloudWatch, Amazon ElastiCache provides enhanced visibility into key performance metrics associated with your Memcached or Redis nodes.
Migrate your databases to AWS with minimal downtime
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
The service supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL and allows you to stream data to Amazon Redshift, Amazon DynamoDB, and Amazon S3 from any of the supported sources enabling consolidation and easy analysis of data in a petabyte-scale data warehouse. AWS Database Migration Service can also be used for continuous data replication with high-availability.
Scalable Storage in the Cloud
Amazon S3 is storage for the Internet. It is designed to make web-scale computing easier for developers.
Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers.
EC2 Block Storage Volumes
Amazon Elastic Block Store (EBS) provides block level storage volumes for use with Amazon EC2 instances. Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.
Low-Cost Archive Storage in the Cloud
Amazon Glacier is an extremely low-cost storage service that provides secure and durable storage for data archiving and backup. In order to keep costs low, Amazon Glacier is optimized for data that is infrequently accessed and for which retrieval times of several hours are suitable. Amazon Glacier changes the game for data archiving and backup as you pay nothing upfront, pay a very low price for storage, and can scale your usage up or down as needed.
Integrates on-premises IT environments with Cloud storage
The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage to provide seamless and secure integration between an organization’s on-premises IT environment and AWS’s storage infrastructure. The service allows you to securely store data in the AWS cloud for scalable and cost-effective storage. The AWS Storage Gateway supports industry-standard storage protocols that work with your existing applications. It provides low-latency performance by maintaining frequently accessed data on-premises while storing all of your data in Amazon Simple Storage Service (Amazon S3) or Amazon Glacier.
Move petabyte-scale data sets
Snowball is a petabyte-scale data transport solution that uses secure devices to transfer large amounts of data into and out of AWS services. Using Snowball addresses common challenges with large-scale data transfers including high network costs, long transfer times, and security concerns. Transferring data with Snowball is simple, fast, secure, and can be as little as one-fifth the cost of high-speed Internet.
Virtual Servers in the Cloud
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios.
Store and Retrieve Docker Images
Amazon Elastic Container Registry (ECR) is a fully-managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. Amazon ECR is integrated with Amazon Elastic Container Service (ECS), simplifying your development to production workflow.
Amazon ECR eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. Amazon ECR hosts your images in a highly available and scalable architecture, allowing you to reliably deploy containers for your applications.
Integration with AWS Identity and Access Management (IAM) provides resource-level control of each repository. With Amazon ECR, there are no upfront fees or commitments. You pay only for the amount of data you store in your repositories and data transferred to the Internet.
Run and Manage Docker Containers
Amazon Elastic Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure.
With simple API calls, you can launch and stop Docker-enabled applications, query the complete state of your cluster, and access many familiar features like security groups, Elastic Load Balancing, EBS volumes, and IAM roles.
You can use Amazon ECS to schedule the placement of containers across your cluster based on your resource needs and availability requirements. You can also integrate your own scheduler or third-party schedulers to meet business or application specific requirements.
Run Code Without Thinking About Servers
AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.
Amazon Virtual Private Cloud (Amazon VPC) lets you provision a logically isolated section of the Amazon Web Services (AWS) Cloud where you can launch AWS resources in a virtual network that you define. You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways.
You can easily customize the network configuration for your Amazon VPC. For example, you can create a public-facing subnet for your webservers that has access to the Internet, and place your backend systems such as databases or application servers in a private-facing subnet with no Internet access. You can leverage multiple layers of security, including security groups and network access control lists, to help control access to Amazon EC2 instances in each subnet.
AWS Application Container
AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS.
You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your application and can access the underlying resources at any time.
Auto Scaling allows you to scale your Amazon EC2 capacity up or down automatically according to conditions that you define. With Auto Scaling, you can ensure that the number of Amazon EC2 instances you’re using increases seamlessly during demand spikes to maintain performance, and decreases automatically during demand lulls to minimize costs. Auto Scaling is particularly well suited for applications that experience hourly, daily, or weekly variability in usage. Auto Scaling is enabled by Amazon CloudWatch and available at no additional charge beyond Amazon CloudWatch fees.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. It enables you to achieve even greater fault tolerance in your applications, seamlessly providing the amount of load balancing capacity needed in response to incoming application traffic. Elastic Load Balancing detects unhealthy instances within a pool and automatically reroutes traffic to healthy instances until the unhealthy instances have been restored. Customers can enable Elastic Load Balancing within a single Availability Zone or across multiple zones for even more consistent application performance.
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