Collect Amazon DocumentDB metrics and logs with Datadog
Blog post from Datadog
Amazon DocumentDB is an AWS-managed document database service compatible with MongoDB 3.6 API. It handles tasks such as database management and autoscaling, while also backing up data to S3. Datadog's Amazon DocumentDB integration provides visibility into key metrics and logs from your clusters, ensuring proper provisioning, meeting performance expectations, and managing costs. The service consists of EC2 instances and a cluster storage volume that replicates data across three availability zones. Monitoring resource metrics like CPU utilization, memory, network throughput, and I/O helps determine if the cluster is properly scaled and using the best-suited instance class. Audit logging in DocumentDB can be enabled for events such as authentication attempts, database creation or deletion, and collection creation or deletion. Datadog's integration allows automatic parsing of audit logs into a human-readable format, enabling search and filtering on important attributes.
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