The following key concepts and terms are used throughout the monitoring documentation.

Core concepts

• Service. An Akamai Cloud service that produces operational data, such as Linodes, Object Storage, or Managed Databases.
• Entity. An object that can be monitored, such as a compute instance, container, or database cluster.
• Region. A geographic location where workloads run or where operational data is collected or delivered.
• Workload. A deployable or runnable unit of work that generates observable behavior over time, such as an application.

Metrics concepts

• Metric. A numerical measurement collected from a cloud service at regular intervals to track service health, performance, or operational trends.
• Dimension. A descriptive attribute attached to a metric that adds context and enables filtering or grouping, such as the region where a service is running.
• Dashboard. A visual representation of key metrics showing how a service is performing over time.
• Widget. A dashboard component that displays time-series metric data in chart and table formats.
• Aggregation function. A mathematical operation such as average, sum, minimum, or maximum, used to combine metric data points over a defined time period.
• Aggregation interval. The time interval over which metric data points are aggregated.

Alerts concepts

• Alert. An event generated when defined alert criteria are met.
• Alert definition A configuration that specifies alert properties and the evaluation criteria used to determine when an alert is triggered.
• System alert. A predefined alert automatically generated by the system to notify users of significant or critical conditions impacting one or more entities.
• User alert. An alert that is triggered when user-defined evaluation criteria are met.
• Notification. A message sent when alert criteria are met.
• Notification channel. The method used to deliver alert notifications. Email is currently supported.

Logs concepts

• Audit log. A time-stamped record of authentication events and configuration activity in your environment.
• Destination. A storage location where logs are streamed for retention and analysis.
• Destination type. The type of storage location where log data is delivered and stored. Akamai Object Storage buckets and custom HTTPS endpoints are currently supported.
• Kubernetes API audit log. A time-stamped record of activity within LKE Enterprise clusters.
• Stream. A continuous flow of log data sent from Akamai Cloud services to a configured destination. Streams collect request and response events and deliver them in batches.
• Stream type. A classification of log stream based on the type of data delivered. Audit logs (login and configuration) and Kuberbetes API audit logs are currently supported.