![]() This harmonious deployment approach brings uniformity to the configuration process, reducing administrative complexity and promoting a consistent environment.Īt the core of this architecture lies the RDS Audit Log Custom API. This post, in conjunction with the linked open-source repository, presents a comprehensive solution for achieving fully automated RDS audit log enablement using AWS serverless services.Īn AWS CloudFormation template for workload accounts serves as a stack, effectively rolled out across all workload accounts via the capabilities of CloudFormation StackSets. ![]() In this post, we present a solution to automate enabling, capturing, and archiving RDS audit logs on Amazon Aurora MySQL-Compatible Edition, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon RDS for SQL Server, Amazon RDS for MariaDB, and Amazon RDS for Oracle. Crafting retention policies that align with compliance mandates and business needs becomes a task of precision. Determining appropriate retention periods while optimizing storage costs requires careful consideration. Log retention and storage cost – With Audit logs enabled, log accumulation is inevitable, and as the logs grow, so do storage expenses.The central team must design automated processes that consider the intricacies of each database while ensuring that the enforcement doesn’t inadvertently impact critical operations. Automatic enforcement of enabling database audit logs – Enabling audit logs automatically across various databases requires careful orchestration to avoid disruptions.The central governance team faces the task of harmonizing these diverse configurations, ensuring that audit logs align with security standards across all database environments. Diverse database engines and versions – Different engines require varying approaches to audit log configuration.Enabling RDS audit logs on all the databases hosted in an AWS organization brings up the following additional challenges: In a large organization with multiple AWS accounts hosting various types of workloads, a central governance team is responsible for putting together an RDS audit log process across all the AWS accounts managed by their organization. ![]() In this post, we explore the significance of Amazon Relational Database Service (Amazon RDS) security audit logs in GxP environments and discuss how automating the log export process can enhance security while streamlining compliance efforts. One critical aspect of GxP compliance is ensuring the security and integrity of data. In regulated industries such as pharmaceuticals, biotechnology, and healthcare, maintaining compliance with Good Practice (GxP) guidelines is of the utmost importance. By maintaining a meticulous record of these activities, organizations gain valuable insights into who accessed the database, what actions were taken, and when these actions occurred.ĭatabase audit logs serve as evidence that organizations are adhering to compliance requirements by demonstrating that appropriate security measures are in place and being actively monitored. These logs capture details about user interactions, system changes, and data modifications, providing a comprehensive trail of actions performed on the database. In this lab, you will create a Kinesis Data Firehose Delivery Stream and use it to centralize logs from Amazon CloudWatch.Database audit logs are records of activities and events that occur within a database system. Help to meet regulatory or compliance requirements.This can have the following benefits for your organization: ![]() It's fully-managed, and once configured it scales to match your data throughput with no on-going administration.Ĭombining Amazon Kinesis Data Firehose with Amazon CloudWatch Logs and Amazon S3 allows you to build a solution that is capable of centralizing logs across many AWS accounts. Amazon Kinesis Data Firehose is a streaming Extract, Transform, and Load (ETL) service from AWS. ![]()
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