Resizable compute capacity in the Cloud.

• 750 hours per month of Linux, RHEL, or SLES t2.micro instance usage
• 750 hours per month of Windows t2.micro instance usage

Secure, durable, and scalable object storage infrastructure

• 5 GB of Standard Storage
• 20,000 Get Requests
• 2,000 Put Requests

Managed Relational Database Service for MySQL, PostgreSQL, MariaDB, Oracle BYOL, or SQL Server. 

• 750 Hours per month of Single-AZ db.t2.micro database usage (applicable DB engines)
  
• 20 GB of General Purpose (SSD) database storage
• 20 GB of storage for database backups and DB Snapshots

Fast and flexible NoSQL database with seamless scalability.

• 25 GB of Storage
• 25 provisioned Write Capacity Units (WCU)
• 25 provisioned Read Capacity Units (RCU)
• Enough to handle up to 200M requests per month.
  

Compute service that runs your code in response to events and automatically manages the compute resources.

• 1,000,000 free requests per month
• Up to 3.2 million seconds of compute time per month

Fully managed platform to build, train, and deploy machine learning models.

• 250 hours per month of t2.medium notebook usage for the first two months
• 50 hours per month of m4.xlarge for training for the first two months
• 125 hours per month of m4.xlarge for hosting for the first two months
  

Resizable compute capacity in the Cloud.

• 750 hours per month of Linux, RHEL, or SLES t2.micro instance usage
• 750 hours per month of Windows t2.micro instance usage

Secure, durable, and scalable object storage infrastructure

• 5 GB of Standard Storage
• 20,000 Get Requests
• 2,000 Put Requests

Managed Relational Database Service for MySQL, PostgreSQL, MariaDB, Oracle BYOL, or SQL Server. 

• 750 Hours per month of Single-AZ db.t2.micro database usage (applicable DB engines)
  
• 20 GB of General Purpose (SSD) database storage
• 20 GB of storage for database backups and DB Snapshots

Publish, maintain, monitor, and secure APIs at any scale.

• 1 Million API Calls Received per month

Web service that makes it easy to deploy, operate, and scale an in-memory cache in the Cloud.

• 750 Hours of cache.t2.micro or cache.t3.micro Node usage
  
• Enough hours to run continuously each month
  

Store and retrieve Docker images.

• 500 MB-month of Storage

Persistent, durable, low-latency block-level storage volumes for EC2 instances. 

• 30 GiB of Amazon EBS: any combination of General Purpose (SSD) or Magnetic
  
• 2,000,000 I/Os (with EBS Magnetic)
• 1 GB of snapshot storage
  

Automatic distribution of incoming application traffic across multiple Amazon EC2 instances.

• 750 Hours per month shared between Classic and Application load balancers
• 15 GB of data processing for Classic load balancers
• 15 LCUs for Application load balancers
  

Fast and flexible NoSQL database with seamless scalability.

• 25 GB of Storage
• 25 provisioned Write Capacity Units (WCU)
• 25 provisioned Read Capacity Units (RCU)
• Enough to handle up to 200M requests per month.
  

Compute service that runs your code in response to events and automatically manages the compute resources.

• 1,000,000 free requests per month
• Up to 3.2 million seconds of compute time per month
  

Fast, flexible, fully managed push messaging service.

• 1,000,000 Publishes
• 100,000 HTTP/S Deliveries
• 1,000 Email Deliveries

Scalable queue for storing messages as they travel between computers.

• 1,000,000 Requests

Task coordination and state management service for Cloud applications.

• 10,000 Activity Tasks
• 30,000 Workflow-Days
• 1,000 Initiated Executions
  

Fully managed build service that builds and tests code in the cloud.

• 100 build minutes per month of build.general1.small compute type usage

Fast, simple, cost-effective data warehousing.

• Two-month free trial
• 750 DC2.Large hours per month for 2 months

The Directory Service 30-day limited free trial provides you with 1,500 hours of use across all your Directory Service managed directories during your first 30 days as a Directory Service customer. The Directory Service 30-day limited free-trial hours are metered based on the type of managed directory and the number of domain controllers that you create.

Fully managed platform to build, train, and deploy machine learning models.

• 250 hours per month of t2.medium notebook usage for the first two months
• 50 hours per month of m4.xlarge for training for the first two months
• 125 hours per month of m4.xlarge for hosting for the first two months