You can use Amazon CloudWatch with this Guidance, which provides service-wide visibility through logs, metrics, and alarms to proactively monitor your applications and infrastructure. This helps you improve operational efficiency of your architecture by responding to events in near real time. 

AWS Clean Rooms provides an isolated, secure collaboration environment to analyze and combine sensitive data without moving data out of respective AWS Accounts. This service helps you share your sensitive data with data partners or providers, without exposing raw data. AWS Clean Rooms provides built-in cryptographic encryption and access control mechanisms that prevent unauthorized access to sensitive data outside of your organization.

Amazon Personalize uses machine learning (ML) to help you build a recommendation model that auto-scales resources based on demand so you don’t have to worry about infrastructure reliability. Automatically adjusting to demand increases the reliability of your application during peak hours.

Amazon Redshift decouples compute and storage to optimize query performance as data volumes grow. Amazon Redshift provides fast query performance through its massively parallel processing architecture, columnar data storage, and advanced query optimization. This helps ensure timely reporting of complex data queries.

Amazon S3 provides cost-effective storage by transitioning objects to lower-cost tiers, such as S3 Infrequent Access or Amazon S3 Glacier. This service provides object lifecycle management to automatically transition less frequently accessed data to more affordable tiers, minimizing overall storage expenses of your architecture. 

AWS Glue is an extract, transform, load (ETL) service that supports autoscaling of resources based on demand, eliminating the need to maintain instances for your workflows. This reduces the chances of over-provisioning or under-provisioning resources, supporting overall sustainability of your architecture.