CloudWatch, EventBridge, Lambda, API Gateway, and Step Functions are AWS services purpose-built to enhance your operational excellence when operating this Guidance. CloudWatch monitors and collects metrics, logs, and events from Lambda, API Gateway and Step Functions. In addition, using CloudWatch helps you gain insights into the workload performance and identify issues quickly through the proactive monitoring, automated anomaly detection, and near real-time visualization of data. With EventBridge, routing and processing events from Lambda, API Gateway, Step Functions and other sources are supported to make responsive actions during the workflow. EventBridge also reduces tight coupling and enables asynchronous interactions between workflow components, providing an event-driven architecture that can respond effectively to changes while being easily extended.

Amazon Cognito, Amazon CloudFront and AWS Shield Standard are deployed in this Guidance to enhance your security. Amazon Cognito enables you to manage user identities and authentication for the application. CloudFront improves website security with secure data transmission and access control, limiting unauthorized access to AWS resources by using origin access control (OAC). Shield Standard is automatically enabled when you use AWS services, such as CloudFront, and defends against the most common, frequently occurring network and transport layer distributed denial of service (DDoS) attacks.

Amazon S3, CloudWatch, EventBridge, and Lambda are used throughout this Guidance to enhance the reliability of your workloads. Amazon S3 does this by storing objects, including videos and other media file formats, in a highly scalable, highly available manner. Amazon S3 also supports versioning, which enables you to retain and manage historical data versions, contributing to data integrity and availability. EventBridge and CloudWatch monitor and respond to events, such as changes in states in CloudWatch alarms or in Step Functions, to process Lambda functions with remediation logic for the workload.

Lambda, DynamoDB, Amazon S3, and CloudFront help enhance your performance efficiency. With Lambda, you can run code with zero administration, as it will manage everything required to run and scale the code. It also offers event-driven scaling, improving application performance and resource efficiency. Furthermore, DynamoDB provides a fully managed NoSQL database with single-digit millisecond latency at any scale, where all the profiling and video summarization task metadata is stored. Moreover, using Amazon S3 to host static web applications and store media files reduces latency and increases throughput in data access. Additionally, CloudFront includes a caching capability and this service, coupled with Amazon S3, brings content closer to the users with a global network of 550+ Points of Presence, further improving performance and reducing latency.

Amazon S3, DynamoDB, and Lambda enhance your cost optimization framework in a number of ways. For one, Amazon S3 Lifecycle Management manages your videos and media objects so that they are stored cost effectively throughout their lifecycle. Second, DynamoDB Time to Live (TTL) allows you to define a timestamp by item to determine when an item in the table is no longer needed. And third, with Lambda, you're only charged for the actual compute time used during the processing of your code. There are no charges for idle resources, as Lambda automatically scales resources up or down based on the demand.

Lambda, Amazon S3, DynamoDB, and CloudFront are all used in this Guidance to enhance the sustainability of your workloads. The Lambda serverless architecture dynamically allocates resources based on demand, ensuring efficient utilization and reducing energy consumption. It also provides content filtering options for Amazon SQS, so that the Lambda function is only invoked by Amazon SQS under the filtering criteria you specify, which reduces Lambda function processing. Amazon S3 Intelligent-Tiering storage class and Lifecycle features help automatically move data to appropriate storage tiers based on access patterns, reducing the need for higher-cost storage and deletes unnecessary data. DynamoDB automatically scales read and write capacity based on usage, eliminating over-provisioning and minimizing energy consumption associated with excessive resources. Finally, CloudFront, with global edge locations, reduces the need to repeatedly access origin servers, conserving resources and reducing energy consumption by serving cached content closer to end users.