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Service monitoring settings

You can modify service settings both globally—across all services—or for individual services.

Define service settings globally

Go to Settings > Server-side service monitoring to find the available settings for detecting and naming web requests, database calls, and custom services. These settings define rules that apply to all services detected in your system.

With global service-monitoring settings you can:

  • Define entry points (a method, class, or interface) for custom services that don't use standard protocols (see Custom service detection).

  • Create merged services in order to logically group separately detected services into the same service (in Merged service monitoring).

  • Customize and enhance the default names of detected services (see Service naming rules).

  • Create advanced filters based on request attributes (see Request attributes).

Define individual service settings

To access monitoring settings for an individual service:

  1. Select Transactions & services from the navigation menu.
  2. Select the service you want to configure.
  3. On the service overview page, click the Browse button (...) and select Edit.

With service-specific monitoring settings you can:

  • Edit the default display names of services and add descriptions to improve tracking (see Naming and Web request naming).

  • Fine tune HTTP error detection rules (see Error detection). You can specify custom HTTP error codes that your application can use to signal failed service calls. DESK marks all service calls that respond with these HTTP error codes—or that are exited via code level exceptions—as failed.
    You can also configure how sensitive DESK should be to 404 HTTP errors (broken links). If some service calls in your application exit due to exceptions—but those calls are still successful from the perspective of your organization—you can define exception classes or patterns that don’t classify such service calls as failed.

  • Switch off unwanted alerts about response time degradations, failure rate increases, or changes in load behavior (see Anomaly detection).