1. SLA Compliance Verification across Multiple Locations


    SLA (Service-Level Agreement) Compliance Verification across multiple locations can refer to a set of practices and tools that help ensure that services are operating within the agreed-upon performance parameters. In the context of cloud infrastructure, this could involve monitoring the performance and availability of web applications or services from various geographic locations.

    To address the requirement for SLA compliance verification, infrastructure as code tools like Pulumi can be used to set up monitoring resources that can measure performance from different locations. One relevant resource from the AWS provider is the aws-native.internetmonitor.Monitor, which can monitor application performance from multiple geographical locations. This resource can be instrumental in checking the compliance of SLAs by reporting on various performance metrics.

    I'll write a Pulumi Python program that sets up a monitoring service using aws-native.internetmonitor.Monitor, which tracks the application's performance across different locations that you specify. The monitor setup would involve parameters like performance thresholds and health event configurations to determine potential SLA breaches.

    import pulumi import pulumi_aws_native as aws_native # Create a new Internet Monitor to verify SLA compliance across multiple locations sla_compliance_monitor = aws_native.internetmonitor.Monitor("slaComplianceMonitor", monitorName="my-application-sla-monitor", resources=[ # Resources like endpoints that the monitor should check. "arn:aws:apigateway:us-west-2::/restapis/a1234567890123", ], healthEventsConfig=aws_native.internetmonitor.MonitorHealthEventsConfigArgs( performanceScoreThreshold=99, # Set the performance score threshold availabilityScoreThreshold=99.9, # Set the availability score threshold performanceLocalHealthEventsConfig=aws_native.internetmonitor.MonitorLocalHealthEventsConfigArgs( status="Enabled", minTrafficImpact=10, healthScoreThreshold=95, ), # Repeat the configuration above for the desired number of locations. #... ), maxCityNetworksToMonitor=5, # Set the maximum city networks to monitor trafficPercentageToMonitor=100, # Set the percentage of traffic to use for monitoring internetMeasurementsLogDelivery=aws_native.internetmonitor.MonitorInternetMeasurementsLogDeliveryArgs( s3Config=aws_native.internetmonitor.MonitorS3ConfigArgs( bucketName="my-monitoring-logs-bucket", bucketPrefix="sla-compliance-logs/", logDeliveryStatus="Enabled" # Ensure logs are delivered to the specified S3 bucket ) ) ) # Export the name and ARN of the monitor for reference. pulumi.export("monitor_name", sla_compliance_monitor.monitorName) pulumi.export("monitor_arn", sla_compliance_monitor.arn)

    In this program, we've set up an AWS Internet Monitor using Pulumi. This monitor will check the performance and availability of the specified resources from different geographical locations. In the resources list, you should include the ARNs (Amazon Resource Names) of the API Gateways, endpoints, or other resources you want to monitor. You can configure the thresholds for performance and availability scores that must be met to remain within SLA parameters.

    Moreover, there is an option to specify the S3 bucket details where the monitor will deliver the logs. This is quite useful for auditing and reviewing performance over time or in case of any SLA compliance issues.

    The maxCityNetworksToMonitor parameter limits the number of different geographical locations where the service performance will be monitored, and trafficPercentageToMonitor specifies how much of your traffic will be analyzed for compliance checks. Adjust these parameters to match your desired scope of monitoring.

    After deploying this monitor with Pulumi, you will have a robust mechanism set up to verify SLA compliance across multiple locations.

    For further reference, you may want to read through the AWS Internet Monitor documentation provided by Pulumi on their website AWS Native InternetMonitor Monitor.