To prepare your TimeXtender Data Integration environment in AWS, here are the steps we recommend.

Create Application Server - AWS VM

To serve the TimeXtender Data Integration application in AWS, we recommend using an AWS EC2 instance (Virtual Machine), sized according to your solution's requirements.

Guide:   Amazon EC2 Instance Types - Amazon Web Services

Considerations: 

Recommended EC2 (VM) specs for moderate workloads:

t2.xlarge | 4 vCPU | 54 CPU Credits / hour | 16 Mem (GiB) | EBS-Only Storage | Moderate Network Performance
OR

t2.2xlarge | 8 | 81 | 32 | EBS-Only | Moderate

• This VM will host the below services, and must remain running for TimeXtender Data Integration to function
  • TimeXtender Ingest Service
  • TimeXtender Execution Service

Create Storage for Ingest instance - Amazon RDS for SQL Server

AWS RDS SQL Database may be used for the storage for the Ingest instance.

Guide:  Use Amazon RDS for SQL Server for Storage

Considerations: 

Recommended SQL server sizing:

• RDS Custom SQL Server instance: m5.large | 2 vCPU | 8 Memory (GiB) | EBS-Only Instance Storage (GB) | Up to 10 Network Bandwidth (Gbps) | Up to 4,750 EBS Bandwidth (Mbps)
  This is sufficient for small size databases.

Create Storage for Prepare instance - Amazon RDS for SQL Server

AWS RDS SQL Database may be used for the storage for the Prepare instance.

Guide:  Use Amazon RDS for SQL Server for Storage

Considerations: 

Recommended SQL server sizing:

• RDS Custom SQL Server instance: m5.large | 2 vCPU | 8 Memory (GiB) | EBS-Only Instance Storage (GB) | Up to 10 Network Bandwidth (Gbps) | Up to 4,750 EBS Bandwidth (Mbps)
  This is sufficient for small size databases.

Estimate AWS Costs

Balancing cost and performance requires monitoring and forecasting of your services and needs.

Guide: AWS Pricing Calculator

Considerations: 

• AWS provides a pricing calculator to help you estimate your costs for various configurations