![]() The rules are the following.Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. We use strict inbound and outbound rules in our security groups. Per PCI DSS 2.2.2, we should only allow the necessary services, protocols, etc., to our CDE with the security groups (firewall). Protect database, DMS replication server and data warehouse with security groups (firewall) from unauthorized access We need to create a new cluster subnet group and add the private subnets to provision our Redshift cluster inside private subnets.įor the RDS, we should choose a private subnet and uncheck the public access option to limit the attacks from the public internet.ĥ. We can uncheck the Publicly accessible option in the network configuration of the DMS replication instance to place it in the chosen private subnet. Replacing all the data containers in the private subnets can improve the security posture of our system. Per PCI DSS 1.2.1, we should restrict inbound and outbound traffic for the cardholder data environment (CDE) to host our data storage inside the private subnets without public internet access. Execute the whole data replication procedure in the private subnet The way to set up the role is the following:ġ)Create a JSON file dmsAssumeRolePolicyDocument3.json with the following IAM policy.Ģ) Create the service role using the AWS CLIĪws iam create-role -role-name dms-access-for-endpoint -assume-role-policy-document your_folder_path//dmsAssumeRolePolicyDocument3.json -profile your_profile -region us-east-2ģ)Attach the AmazonDMSRedshiftS3Role policy to dms-access-for-endpoint roleĪws iam attach-role-policy -role-name dms-access-for-endpoint -policy-arn arn:aws:iam::aws:policy/service-role/AmazonDMSRedshiftS3Role -profile your_profile -region us-east-2Ĥ. You need to authorize Amazon Redshift to access the S3 bucket on your behalf with the IAM role, dms-access-for-endpoint. Moreover, we need to set one additional service role if we choose AWS Redshift as our target because AWS DMS uses an Amazon S3 bucket to transfer data to the Amazon Redshift database. Per PCI requirement 7, we recommend only assigning certain IAM permissions and IAM roles to data engineer/DBA to use AWS DMS based on the link. Use AWS IAM roles to explicitly allow/deny authorized service requests with the least privilege principle If you have a compliance requirement to have full control over the keys, please select the customer-managed key ( CMK).ģ. It’s necessary to encrypt the data at rest with AWS managed KMS key. DMS replication server may also store data in the EBS disk when it processes large transactions. RDS database and Amazon Redshift both store customers’ data in the disk. Protect data at rest with the KMS encryption key per PCI requirement 3 Go to Parameter Groups in the Workload management tab and find the one for your cluster.Ģ. ![]() Go to the AWS console and navigate Redshift. To configure SSL connections on a Redshift Cluster: Go to Parameter Groups and find the one for your instance.Įdit the rds.force_ssl parameter to true. To be mentioned, you need to create a new custom parameter group for this configuration because you can’t modify the default parameter groups. We need to set them up in their parameter groups. SSL configuration in RDS and Amazon Redshift per PCI Requirement 4īefore we protect data in transmission with SSL, we need to enable the SSL option in RDS and Amazon Redshift. Secure the data replication procedure in preparation stageġ. DMS detects the source schema change and only loads the newly generated tables into destination as source data grows. The DMS system has two endpoints: a source endpoint which connects to the database and extracts structured data a destination endpoint which connects to the AWS Redshift to load the data into the data warehouse. ![]() DMS builds replication servers in the Multi-AZ high availability cluster where we run the replication task. The replication procedure is shown in figure 1. Overview of the data replicationĪWS DMS is a cloud service that allows replicating data from relational databases to data warehouse. Today, I will introduce the first step in my architecture - Replicating data from RDS for SQL Server to Redshift using AWS DMS in a secure way. So my concern is how to protect sensitive data among the data flows of the architecture. ![]() Based on my work domain of Fintech, my primary goal would be securing Payment Card Industry ( PCI) and Personally Identifiable Information ( PII) data in the whole system.
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