Amazon CloudWatch enhances observability through metrics and helps you visualize data through personalized dashboards and logs. Additionally, X-Ray helps you analyze user requests as they travel through your API Gateway APIs to the underlying services. Together, CloudWatch and X-Ray can help you identify performance bottlenecks and troubleshoot requests.

In this Guidance, devices use X.509 certificates for authentication and AWS IoT policies for authorization so that they can securely connect with each other, AWS IoT Core, and IoT Greengrass. Additionally, all AWS Identity and Access Management (IAM) policies have been scoped down to the minimum permissions required for the services to function properly, helping you limit unauthorized access to resources.

API Gateway and Lambda operate in multiple Availability Zones (AZs) in each AWS Region, using this redundancy to maintain availability even in the case of infrastructure failure. API Gateway automatically recovers from the failure of an AZ. Additionally, Kinesis Data Streams provides a default 24-hour retention period, enabling you to select a specific timestamp from which to start processing records. This helps you reliably resume processing at a later time without data loss. Finally, DynamoDB provides on-demand backup capability, point-in-time recovery, and global tables that sync across Regions to help support your data resiliency and backup needs.

Kinesis Data Streams enables multiple applications to consume data from the same stream. As a result, multiple actions, like archiving and processing, can take place concurrently and independently, providing higher throughput. CloudWatch provides actionable insights that help you optimize application performance, manage resource utilization, and understand system-wide operational health. Finally, Amazon DynamoDB Accelerator (DAX) helps you increase performance by providing quicker response times through in-memory reads.

The DynamoDB automatic scaling feature manages throughput based on your application traffic and your target utilization metric. This helps you make sure your tables have the required capacity required for your application and helps you avoid the cost of overprovisioning. Amazon S3 also provides automatic scalability, helping you increase your agility. Together, these services lower the total cost of ownership for storing and retrieving data.

Lambda allows you to run code without provisioning or managing servers, and its functions automatically scale to meet the demand. It also reuses implementation environments, improving your resource utilization. These capabilities help you optimize the resource usage of your application, minimizing the energy consumption of your workloads.