Akamai Cloud Pulse provides real-time insight into the performance, availability, and reliability of workloads running across your cloud environment. It brings together metrics, alerts, and logs to help you understand system behavior, detect issues early, and maintain the health of your applications and infrastructure.

This guide introduces you to the observability capabilities available for Databases.

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Metrics are currently available in limited availability. Alerts are available in beta. Log support is planned for a future release.

Observability features

Metrics

Metrics provide quantitative data about the performance of Databases over time. Key capabilities include:

• Automatic metrics collection. Metrics are automatically collected and stored for supported Akamai Cloud services.
• Visualization and analysis. Metrics are displayed on dashboards that help you to see changes over time and analyze performance trends.
• Metrics export. Metrics can be exported for use with external observability tools.
• Programmatic access. Metrics can be retrieved programmatically through the Linode API.

Alerts

Alerts notify you when important conditions impacting Databases that may require attention. Key capabilities include:

• System alerts. Predefined system alerts notify users of critical events and service-impacting conditions.
• Custom alert creation. Custom user alerts can be configured to send notifications when user-specified conditions are met.
• Notifications. Notifications are sent via the specified notification channel when an alert fires. Email notifications are currently supported.
• Programmatic access. Alerts can be managed programmatically through the Linode API.

Next steps

To learn more about:

• Observability and why it matters, see Monitor cloud services.
• Metrics collection, metrics dashboards, and exporting metrics to external tools, see the Metrics documentation.
• Configuring and managing alerts, see the Alerts documentation.

• The metrics and dimensions available for Databases, see Database metrics and dimensions.