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z/OS Connect observability support enables traces and metrics for REST-API requests processed by z/OS Connect servers. Traces also contain additional metadata (attributes) that can be included in capacity planning or application tuning analysis for optimal observability results.
z/OS Connect Metrics Streaming
z/IRIS supports SMF 123 version 1 and version 2 records for Metrics streaming.
z/OS Connect version 1 metrics provides zosconnect_basic metrics. These metrics provide z/OS Connect request entry and exit timestamps, elapsed time and basic request method and user data.
z/OS Connect version 2 metrics provides zosconnect_advanced metrics. These metrics provide zosconnect_basic metrics and additional data about the System-Of-Record (SOR) entry and exit timestamps, elapsed times, more request data and HTTP response codes.
For more information about these metrics see: z/OS Connect Metrics Streaming.
z/OS Connect Trace Streaming
z/IRIS creates traces from SMF 123 version 2 records that provide performance and system information for each REST-API requests processed on monitored z/OS Connect servers. Trace metadata/attributes can be used in capacity planning or application tuning queries to achieve end-to-end application analysis results.
Users have access to the following information for each Rest API request made by their applications processed, that are processed on z/OS Connect server:
request entry and exit times reported by the z/OS Connect server, and the calculated elapsed time (span time).
request entry and exit times reported by the System-Of-Record (SOR), which can be CICS or IMS systems, Db2 or batch programs.
SOR identifiers useful for support escalation to mainframe SMEs.
request and response payload, HTTP response and z/OS authorization identifiers.
z/OS Connect Workflow Tracing
Using the z/IRIS Mainframe Workflow Tracing feature users can see true end-to-end workflow of z/OS Connect and Db2 traces. This allows DevOps teams to cut through software complexity using observability to see the larger picture of all critical business services by giving them an understanding of service interaction. Increased understanding can help your teams diagnose systems more efficiently, which will increase customer satisfaction.