Amazon QLDB

Dynatrace ingests metrics for multiple preselected namespaces, including Amazon QLDB. You can view graphs per service instance, with a set of dimensions, and create custom graphs that you can pin to your dashboards.

Prerequisites

To enable monitoring for this service, you need

  • An Environment or Cluster ActiveGate version 1.197+
  • Dynatrace version 1.199+
  • An updated AWS monitoring policy to include the additional AWS services.
    To update the AWS IAM policy, use the JSON below, containing the monitoring policy (permissions) for all supporting services.

If you don't want to add permissions to all services, and just select permissions for certain services, consult the table below. The table contains a set of permissions that are required for all services (All monitored Amazon services) and, for each supporting service, a list of optional permissions specific to that service.

Example of JSON policy for one single service.

In this example, from the complete list of permissions you need to select

  • "apigateway:GET" for Amazon API Gateway
  • "cloudwatch:GetMetricData", "cloudwatch:GetMetricStatistics", "cloudwatch:ListMetrics", "sts:GetCallerIdentity", "tag:GetResources", "tag:GetTagKeys", and "ec2:DescribeAvailabilityZones" for All monitored Amazon services.

View service metrics

Once you add the service to monitoring, you can view the service metrics in your Dynatrace environment either on your dashboard page or on the custom device overview page.

Import preset dashboards

Dynatrace provides preset AWS dashboards that you can import from GitHub to your environment's Dashboards page.
Note: To save a preset dashboard locally, create a new JSON file on your local machine and copy-paste the content of the JSON file from GitHub into the new file.
Once you save a preset dashboard locally, there are two ways to import it.

View service metrics

Once you add the service to monitoring, you can view the service metrics in your Dynatrace environment either on your dashboard page or on the custom device overview page.

Import preset dashboards

Dynatrace provides preset AWS dashboards that you can import from GitHub to your environment's Dashboards page.
Note: To save a preset dashboard locally, create a new JSON file on your local machine and copy-paste the content of the JSON file from GitHub into the new file.
Once you save a preset dashboard locally, there are two ways to import it.

Amazon QLDB service shows on the custom device group page. The service is made up of instances (custom devices) called ledgers. You can view metrics for each custom device in the Further details section of the custom device overview page, split by Streams and Command types.

qldb

Available metrics

Name Description Unit Statistics Dimensions Recommended
CommandLatency The amount of time taken for data operations, reported in one-minute intervals Milliseconds Multi LedgerName, CommandType ✔️
IndexedStorage The total amount of disk space used by the ledger's tables, indexes, and indexed history, reported in 15-minute intervals Bytes Multi LedgerName ✔️
IsImpaired The flag that indicates if a journal stream to Kinesis Data Streams is impaired, reported in one-minute intervals Count Maximum LedgerName, StreamId ✔️
JournalStorage The total amount of disk space used by the ledger's journal, reported in 15-minute intervals Bytes Multi LedgerName ✔️
OccConflictExceptions The number of requests to QLDB that generate an OccConflictException Count Sum LedgerName ✔️
ReadIOs The number of disk read I/O operations, reported in one-minute intervals Count Sum LedgerName ✔️
ReadIOs Count Multi LedgerName ✔️
SessionRateExceededExceptions The number of requests to QLDB that generate a SessionRateExceededException Count Sum LedgerName ✔️
Session4xxExceptions The number of requests to QLDB that generate an HTTP 4xx error Count Sum LedgerName ✔️
Session5xxExceptions The number of requests to QLDB that generate an HTTP 5xx error Count Sum LedgerName ✔️
WriteIOs The number of disk write I/O operations, reported in one-minute intervals Count Sum LedgerName ✔️
WriteIOs Count Multi LedgerName ✔️