Created:  | Updated: 

z/IRIS 1.12.0


All features created in this release culminate in users obtaining end-to-end workflow and performance insights where requests depend on IBM MQ for z/OS and CICS transactions. Find out more about these features below.

Example of end-to-end trace that includes MQ and CICS services

MQ for z/OS Trace

Traces are created from SMF 116 type 1 & 2 records to depict tasks/threads that initiated within a z/OS MQ Queue Manager to process messages in queues or topics. Each MQ for z/OS trace identifies how the task was initiated, the latency of the task, and whether the Queue Manager detected any errors. Child spans within the trace each identify an object (queue or a topic) that the task used to process messages. The time spent connected to the object is shown through the child spans' duration.

An overview of a MQ for z/OS trace in Jaeger

CICS Transaction spans

Spans are created from SMF 110 records to describe CICS transaction executed on z/OS. Each span identifies the transaction, its response time. Also contained within the spans are Resource and Trace attributes. Resource attributes identify the CICS subsystem as well as the z/OS LPAR and Sysplex that processed the transaction. Trace attributes provide additional performance and resource utilization metrics for the processing of the transaction.

See CICS Transaction Observability to find out more about the span design, and refer to CICS Transaction Spans for a detailed list of attributes provided.

An example of a span for an INBM CICS application transaction and a few attributes in Jaeger

Distributed MQ to MQ for z/OS Workflow Tracing BETA

A new function enables the correlation of APM traces from distributed IBM MQ clients with MQ for z/OS spans created by z/IRIS. This correlation reveals which client applications depend on MQ for z/OS queues and queue managers for digital business services. The insight provided by MQ for z/OS spans will help users identify how mainframe resources are consumed and how mainframe applications perform for distributed applications.

Below is an example of a trace composed of spans from various HTTP, and JMS applications on Linux, supplemented by MQ for z/OS spans from z/IRIS:

Mainframe Workflow Tracing for IBM MQ and CICS spans BETA

Users can identify CICS Transaction that use MQ for z/OS in a single logical unit of work. This enables visibility into the relationship between these services and enables holistic analysis and monitoring for users.
Below is an example of a trace composed of CICS and MQ for z/OS spans for a single transaction:

IBM MQ → CICS workflow trace

z/IRIS 1.11.0


z/IRIS Mainframe Workflow Tracing for z/OS Work Batch Jobs BETA

This release supports correlating multiple SMF Type 30 records. As a result, z/IRIS users will get a single flame graph, composed of spans that each represent the phases and steps of a batch jobs.

See example below:

z/OS Work trace of a batch job

Clock Skew correction for mainframe spans TEST | POC

Differing system clocks diverge when not adequately synchronized. This “clock skew“ results in misaligned time-based data that deteriorates user experience on observability platforms and complicates analysis.

Clock Skew between distributed and mainframe systems

If clock synchronization over Network Time Protocol(NTP), System Time Protocol (STP)and/or an external time source is unavailable while trialing z/IRIS, it will impact the way relationships between distributed and mainframe applications are depicted. For testing purposes only, a clock skew correction can be configured in IronTap to simulate synchronized time between mainframe and open-systems. See Configure IronTap server for more information about the parameter.

Clock skew correction activated in IronTap

z/IRIS 1.10.0


z/IRIS Mainframe Workflow Tracing for ​z/OS Connect and Db2 records BETA

This release contains the first version of the z/IRIS Mainframe Workflow Tracing, allowing z/IRIS to correlate multiple SMF records into meaningful spans and traces. The scope of this release encompasses our first use case, which is the correlation of related z/OS Connect and Db2 SMF records. This allows users to see true end-to-end workflows of traces involving these two mainframe services. See example flame graphs for Datadog and Jaeger below:

z/OS Connect Db2 workflow in Datadog

z/OS Connect Db2 workflow in Jaeger

See z/IRIS Mainframe Workflow Tracing to find out more about the z/IRIS SMF Correlation feature.

z/OS Connect Workflow Tracing contains details about the z/OS Connect and Db2 SMF correlations.


An issue causing warning logs regarding missing configuration parameters has been resolved.

z/IRIS 1.9.0


🌟 Datadog API integration support BETA

Datadog APM Traces

Datadog users can elect to stream traces via the Datadog Agent API. This integration is provided in addition to the existing OpenTelemetry support, to accelerate proof of concept/value projects for Datadog users.

Please refer to Configuring Irontap Datadog integration to find out more about using Datadog APIs to enable mainframe-inclusive observability.

Datadog API integration is currently BETA. Technical support is provided to selected customers only. Contact mainstorconcept support should your organization be interested in testing Datadog Trace API integration.

Example of z/OS Connect services streamed using Datadog’s Agent API

🎉 Datadog Events

To ensure DevOps teams can proactively address anomalies and errors to avoid major incidents and outages requires adequate visibility into application issues that may impact overall business performance. z/IRIS creates events that leverage Datadog’s Unified Tagging capabilities. Datadog’s Events Explorer is a powerful user interface to search, analyse, and filter events from any source in one place.

Example of JES2 Batch Job Events in the Datadog Events Explorer

Please refer to Configuring Irontap Datadog integration for guidance on how to enable Irontap to create Datadog Events using the Events API.

z/IRIS 1.8.0


🎉 z/OS MQ Metrics 🎉

IBM MQ plays a critical role in business application communication, this is why maintaining performance and resource availability for MQ components like queue managers and buffer pools is crucial.
Anomaly detection, issue analysis and health insights for your MQ systems facilitates planning, optimization and reliability efforts.

In this release, z/IRIS introduces z/OS MQ Metrics, that are streamed in real-time to ensure instantaneous access to performance indicators that signal changes in your MQ infrastructure, applications, or client behavior.

MQ statistics records (SMF Type 115) contains a multitude of statistics from various resources within the system. This release of z/OS MQ Metrics focuses on the most vital performance indicators for monitoring, analysis and alerting purposes. Customers may request support for additional fields contained in SMF 115 records by contacting support.

Grafana z/OS MQ Dashboard

Importable Grafana z/OS MQ Dashboards are designed to provide quick start assistance for users, by visualizing and summarizing the key performance indicators provided by z/OS MQ Metrics. To meet your organization’s requirements for enterprise monitoring, users can customize panels and thresholds, as well as create alerts.

Screenshot of z/OS MQ Message Manager Activity in Grafana

Datadog z/OS MQ Dashboard and Monitors

Datadog users are provided with importable dashboards and monitors that leverage Datadog's powerful APM capabilities, enriching your day-to-day enterprise monitoring activities, and removing mainframe monitoring silos.

z/IRIS 1.7.2


APM Traces

Common span attributes host.arch and os.type are now part of every z/IRIS span to improve overall usability.

Db2 Accounting Traces

Trace semantics has been adapted. The span’s duration is now set to the accounting elapsed time calculated via zos.db2.end.timestamp - zos.db2.start.timestamp (QWACESC-QWACBSC).

z/OS Connect Metrics

The z/OS Connect metric's naming convention has been unified for SMF 123 subversion 1 and 2 to simplify their usage, enabling the user to filter more easily and create customized dashboards faster. In addition, the list of measurement for z/OS Connect has been expanded to include the zos.connect.timed_out.requests and zos.connect.successful.requests. See z/OS Connect Metrics Streaming for more information.

RMF Metrics

RMF metrics have been revamped, enabling more flexible querying as well as ensuring compatibility with telemetry pipeline processors (e.g. OpenTelemetry’s Contrib Collector). See RMF Metrics Streamingfor more information about how RMF metrics have been overhauled, and take a look at how an OpenTelemetry Contrib Cmore informationollector can be configured.

New z/OS Infrastructure Dashboard

RMF gathers data about z/OS resource usage and provides reports of system and sysplex. Using this dashboard, you can get a high-level view and understanding of your performance, and resource utilization on the mainframe. The RMF metrics are used to populate our z/OS Infrastructure Dashboard. In order to keep an eye on your performance and activity in mainframe you can track your CPU contention and mean usage by LPAR and MVS. Additionally, you obtain an overview of your In-Ready-Work-Unit-Queue distribution.

z/OS Infrastructure Dashboard in Datadog

Dashboards optimized for Grafana 8

z/OS Connect and z/OS infrastructure dashboards are now available for Grafana 8. DevOps teams can monitor and analyze how z/OS Connect and mainframe service providers perform for REST API requests. z/IRIS users can identify latencies and errors that impact REST API requests hosted and processed on mainframe systems. In addition, the z/OS infrastructure Dashboard provides information on mean usage, performance and activity, as well as In-Ready-Work-Unit-Queue distribution.

z/OS Connect Dashboard

z/OS Infrastructure Dashboard

z/IRIS 1.7.1


z/OS Connect tracing with Instana APM

Instana APM users can now activate z/IRIS z/OS Connect tracing with Instana APM. z/OS Connect traces represent REST API requests processed on z/OS Connect servers and provides the standard APM KPIs: call information, latency and errors. Each trace contains tags that provide additional context about the request and its processing within z/OS Connect.

Instana APM call tree enriched with z/OS Connect span by z/IRIS

The System-Of-Record (SOR) child span represents the call to the service provider for the REST API services hosted by the z/OS Connect server. The SOR spans also contain tags that provide additional information about the SOR.

Instana APM call tree enriched with SOR span by z/IRIS

See z/OS Connect traces for Instana APM for more information about this feature.

z/IRIS 1.7.0


🎉 Datadog integration 🎉

z/IRIS mainframe observability support is now available with Datadog. Include mainframe observability to enable your team to analyze mainframe performance using traces and metrics. Furthermore, we provide pre-configured dashboards for z/OS Connect and Db2 for z/OS metrics and traces. Our dashboards are automatically created in your Datadog environment after activating z/IRIS integration. Users can activate a trial directly in Datadog by visiting the Marketplace.

See Mainframe-inclusive observability to find out more about all available features.

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z/OS Connect metrics dashboard in Datadog

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Db2 for z/OS JDBC trace metrics Dashboard

TraceId and SpanId format support

Datadog uses a custom (64 bit unsigned int) format for TraceIds and SpanIds. z/IRIS supports this format to facilitate the searchability of traces in Datadog. See how to configure z/IRIS Irontap to enable this feature.


z/OS Connect telemetry

z/OS Connect metrics have been revamped, enabling more flexible querying as well as ensuring compatibility with telemetry pipeline processors (e.g. OpenTelemetry’s Contrib Collector). See z/OS Connect Metrics Streamingfor more information about how z/OS Connect metrics have been overhauled, and take a look at how a OpenTelemetry Contrib Collector can be configured.


The importable z/OS Connect Grafana dashboards have also been updated to utilize the new metrics schemes.

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z/OS Connect metrics dashboard in Grafana

z/IRIS 1.6.5


Distributed Db2 deadlock traces for Instana

Instana Db2 deadlock spans have been overhauled to deliver a clearer view of each deadlock, similar to our OpenTelemetry Db2 deadlock spans. Distinct Waiter and Holder child spans are now created for each Resource span.

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Db2 Deadlock trace with distinct Holder and Waiter child spans

z/OS Work traces (SMF30) for Instana

We provide error messages, enriched with additional information collected from the mainframe. These messages are now available directly from the Instana Trace View when spans are marked as erroneous to increase the visibility. Events are now created with either Warning or Critical severity and have been revamped to include the same information available in the error message. See Instana APM z/OS Work Traces for more information.

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Critical Event created by z/IRIS about a batch job that ended with return code 8

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Sample of a batch job trace with error information from z/OS

z/IRIS 1.6.4


z/OS Work (SMF 30) telemetry

  • The z/OS work traces for subtype 1,4 and 5 are now available with OpenTelemetry.

    • A trace is created, when

      • A batch job, USS process or transaction starts or ends processing on z/OS.

      • A user logged onto or off from a z/OS system via TSO.

      • A step in a batch job has completed.

    • When a non-zero completion code occurs which results from a system or user Abnormal End (abend) in a job, step in a batch job, USS process or transaction, then the error will be signaled via the status of the corresponding span and an error message will be provided.

    • All traces are enriched with trace attributes that contain metadata about the mainframe system, processing, performance and resource consumption as well as to facilitate searching and filtering to easily locate mainframe traces for batch analysis. See z/OS Work trace attributes with OpenTelemetry for more information.

    • See z/OS Work OpenTelemetry Observability for detailed information.

Example of z/IRIS OpenTelemetry integration with Jaeger and z/OS Work tracing

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Db2 deadlock linking

Featuring OpenTelemetry’s trace linking, you can now find all related participants of a deadlock even more easily in your favorite APM.

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z/IRIS OpenTelemetry Java Agent Instrumentation Extension BETA

OpenTelemetry users can activate the ziris-instrumentation-extension module with the experimental agent extension feature, which was introduced with the Java Agent release 1.3.0.
ziris-instrumentation-extension adds behaviour to the Java agent to facilitate context propagation for JDBC calls to Db2 z/OS servers, enabling Distributed Db2 for z/OS Observability with OpenTelemetry.

z/IRIS 1.6.3


z/IRIS IronTap Container

Introducing z/IRIS IronTap as a Docker container. Simply run z/IRIS IronTap anywhere with a single command:

docker run \
--name irontap \

Find out more about running and configuring your dockerized z/IRIS IronTap.


Db2 Accounting telemetry

  • The Db2 Accounting traces are now available with OpenTelemetry.

    • Db2 Accounting traces provide resource consumption and performance information within the z/OS system and Db2 subsystem like CPU (total, in-Db2), zIIP processor or durations (elapsed time, response time). See Db2 Accounting trace attributes with OpenTelemetry for detailed information.

Kafka record extractor tool

An easily configurable Kafka record extractor tool to extract SMF records from an Apache Kafka cluster for a specified time interval is now available. See Collecting SMF records from an Apache Kafka topic for more information.

z/IRIS v 1.6.2


z/OS Connect telemetry 

  • An additional “system of record” (SOR) span is created for the services called by z/OS Connect allowing a more detailed end-to-end tracing and clearer visualization of latencies between the z/OS Connect REST API gateway and the SOR. See z/OS Connect Observability for more information.

  • Span status will be set to error for z/OS Connect timeouts and HTTP codes (400-502).

    • A useful error message will be provided.

Distributed Db2 deadlock telemetry

  • The Db2 deadlock traces are now available with OpenTelemetry.

    • Application traces are enriched with Db2 deadlock traces that contain information for root-cause analysis as well as identifiers to locate all applications impacted by the deadlock for simpler business impact analysis. See Db2 Deadlock Spans for more information.

  • The values of the custom attribute zos.db2.lock.type (QW0172FR), which represents Db2 deadlock types, have been improved for better searchability.

z/IRIS v 1.6.1


Integration of Apache Kafka

Apache Kafka 2.7.0 compatibility testing passed. Additionally, since version 0.10.2 Apache Kafka provides a bi-directional compatibility policy which guarantees that customers can upgrade their cluster brokers in isolation to updating the Kafka libraries used by the consumers in z/IRIS IronTap and producers in z/OS clients respectively.


Logging - Customers can configure IronTap logging to ignore sensitive data, to prevent accidental security leaks when customers share logs outside their organization for support.

z/IRIS v 1.6.0


OpenTelemetry integration

Observability and Monitoring requirements vary greatly depending on the business case and customer requirements. This is why a uniform standard is needed, that would allow different APM products to interact with each other, resulting in custom solutions that meet the needs of our customers. 

The Cloud Native Computing Foundation (CNCF) OpenTelemetry project is an observability framework that provides an open standard for telemetry data, including traces and metrics. The project has broad industry support and adoption from cloud providers, vendors and end users. With this release, the z/IRIS team acknowledges the importance of such an open standard, as its capabilities will ensure sustainable, vendor-neutral APM support for z/IRIS customers. 

Example of z/IRIS OpenTelemetry integration with Jaeger and z/OS Connect tracing

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z/OS Connect telemetry 

z/IRIS enables observability and monitoring capabilities for client REST API requests that are processed by IBM z/OS Connect servers hosted on mainframe systems. Observability capabilities are available to partner and open-source APM vendors that support the OpenTelemetry Protocol (OTLP) specification.

The real-time processing of z/OS Connect SMF type 123 records provides two new features for mainframe-inclusive observability support for mainframe-backed DevOps:

  • Metrics streaming for SMF type 123 subtype 1 version 1 and version 2 

    z/OS Connect metrics are streamed to a preconfigured data sink that is integrated with visualization and analysis software and tools.  Official support for InfluxData's InfluxDB time series database is provided for all metric streaming features out-of-the-box. Additional adapters for streaming metrics to alternate data sinks or DBMS systems is available on request. See z/IRIS - z/OS Connect Metrics Streaming for more information.
    z/OS Connect metrics allow DevOps to monitor:

    • elapsed times (for all or selected z/OS Connect servers, by z/OS system or sysplex name),

    • latency between z/OS Connect servers and their System-Of-Records (SORs),

    • timeout frequency,

    • activity by user-name, service-name and types and more.

  • Trace streaming for SMF type 123 subtype 1 version 2
    DevOps teams have access to vital performance data and identifiers related to their application's REST-API requests that are processed by IBM z/OS Connect servers on mainframe systems. z/IRIS appends z/OS Connect spans to the trace-tree of the calling application in the APM user-interface. This is our first mainframe trace streaming feature that adheres to the (OTLP) specification. OTLP compliance ensures vendor-neutral support for our customers and future-oriented integration and support for compatible APM products.

Importable Grafana dashboard JSON

For quick start-up assistance, z/IRIS provides users with an importable JSON file, that creates customizable panels in a Grafana dashboard. Our zosconnect Grafana dashboard queries z/IRIS z/OS Connect Metrics that are stored in an InfluxDB bucket.

Example of the z/IRIS zosconnect Grafana dashboard

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z/IRIS v 1.5.0


CPU activity metrics (RMF SMF type 70 records)

Resource Measurement Facility (RMF) is IBM's strategic performance management product for z/OS and provides the ability to gather resource usage data with additional reporting and analysis functionality.
z/IRIS supports RMF SMF records, starting with record type 70, which provides CPU activity data. The RMF SMF records are streamed and parsed in real-time and integrated into open-source metric monitoring software.

z/IRIS RMF Metrics Streaming provides detailed documentation on the various metrics and data schemas created by z/IRIS.

InfluxDB integration support for metrics

z/IRIS supports streaming metrics to an InfluxDB 2.0 time series database for retention. InfluxDB instances can be used as data sources for analytics and visualization applications like Grafana. 

Streaming metrics to an alternate DBMS through z/IRIS can be requested.

Example of z/IRIS InfluxDB 2.0 RMF 70 schema

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Grafana dashboard JSON

For quick start-up assistance, z/IRIS provides users with an importable .json file that creates the following panels in an RMF related Grafana dashboard:

Current in-ready work unit queue distribution per system

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CPU contention per system

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Mean CPU usage

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z/IRIS v 1.4.2 ...

z/IRIS v 1.4.2


Time zone customization

  • Configure z/OS time zones globally, per Sysplex or per LPAR. This improves the consistency of timestamps. The default time zone is UTC.

    • Old timestamp in local time:

    • New timestamp format with explicit UTC time zone:  


Instana APM integration

Db2 Performance

Db2 Performance spans provide detailed performance information sourced from Db2 for z/OS IFCIDs 58-66:




Db2 Performance : End Sql QW0058SN


Db2 Performance: Fetch start QW0059SN


Db2 Performance: QW0060ST start QW0060SN


Db2 Performance: QW00612ST start QW0061SN


Db2 Performance: QW0062ST start QW0062SN


Db2 Performance: SQL statement


Db2 Performance: QW0064ST start QW0064SN


Db2 Performance: Open Cursor start QW0065SN


Db2 Performance: Close Cursor start QW0066SN

For information on the IFCID fields used in Instana, please see "Custom tags in Instana APM".

  • Details regarding the Instana custom tags created from the performance class Db2 for z/OS IFCIDs can be found in "Custom tags in Instana APM".

  • Db2 Performance, Db2 Accounting and Db2 Deadlock spans are now Exit spans to prevent merging with the parent JDBC call spans while keeping all custom tags searchable via the Instana Analyze Dashboard.

  • Db2 Performance, Db2 Accounting and Db2 Deadlock spans are assign the Instana Db2 and are of type DATABASE.

z/IRIS v 1.4.1 ...

z/IRIS v 1.4.1


Distributed Db2 for z/OS traces for Instana APM

  • Instana traces created by z/IRIS for distributed Db2 for z/OS JDBC calls have been adapted to support Instana changes to custom trace processing.

    • "SQL related IFCIDs" call name has been changed and split into two new call names for improved search and filter capabilities.

      • Db2 Accounting (for IFCID 3 related performance information).

      • Db2 Deadlock (for IFCID 172 related Db2 resource and JDBC application data).

    • Call endpoints have been updated to point to the related Db2 for z/OS subsystem.

  • Enhance distributed Db2 for z/OS tags created by z/IRIS:

    • Db2 for z/OS related tags are prefixed with "zos.db2.*".

    • All tags have been updated for uniformity.

Deadlock Events for Instana APM
  • Each deadlock record (IFCID 172) processed by z/IRIS triggers a deadlock event in the Instana Events dashboard now.

  • Each deadlock event describes the impacted Db2 system, the number of Db2 resources affected and the Db2 for z/OS timestamp of the deadlock event. The, that contains all details regarding the deadlock, is provided in the event details.

Db2 Deadlocks

Db2 Deadlock calls provide the deadlock event, impacted resources as well as the holder and waiter sessions for each resource. Each child spans of the Db2 Deadlock trace provides the following information:

  • The Db2 for z/OS Resource Name (RNA) affected by the deadlock and the sessions holding-up or waiting for the RNA.

  • If the holder and waiter sessions (JDBC connections) are instrumented by Instana agents, z/IRIS will provide the relevant Instana under the following tags: and Use the Instana Analyze dashboard to locate the application calls identified by z/IRIS as participants of a deadlock.

  • Each Instana, identified by z/IRIS as a participant in the deadlock, is tagged as erroneous and enriched with the deadlock trace information required to assist DevOps with identifying all application calls affected by deadlocks in Db2 for z/OS.

  • z/OS and Db2 identifiers related to the holder and waiter JDBC calls, i.e:,,, and

  • If an IPv4 address is available for holder and waiter sessions, z/IRIS will provide the network address under the following tags: and

Db2 Accounting

Db2 Accounting traces provide resource consumption and performance information within the z/OS system and Db2 subsystem, for JDBC calls, including:

  • In-Db2 CPU, zIIP processor and elapsed time (zos.db2.cpu.timezos.db2.ziip.time and zos.db2.elapsed.time).

  • Total CPU, zIIP processor and response time (zos.cpu.time, zos.ziip.time and zos.db2.response.time).

  • Service Units Factor required to calculate mainframe MSU costs for JDBC calls (

  • Workload manager service class applied to the Db2 for z/OS JDBC call (

  • z/OS and Db2 identifiers for the JDBC connection, i.e:,,, and

Known issues

Instana APM integration

  • By default, Instana spans created by z/IRIS are delayed by 60 seconds to avoid unpredictable merging with parent spans. When merging occurs, certain span metrics are overwritten in the call tree, by z/IRIS span metrics  (i.e. endpoint and call name). Users can customize the delay as described in the 'z/IRIS - Configuring integration into Instana' article.

  • Start time for DB2 Accounting and Db2 Deadlock is derived from the SMF Header Timestamp and not from the DB2 Timestamps available in IFCID 3 or IFCID 172.

  • Instana "fixes" the timestamp provided by z/IRIS, which adjusts the start time of spans created z/IRIS. The issue has been reported to Instana and will be fixed in an upcoming release.

  • Instana custom tags are either string or boolean. Numeric-logical comparisons for tag values, are not yet available for custom traces in Instana.

z/IRIS v 1.4.0

z/IRIS v 1.4.0


z/OS common address space work record streaming (SMF 30)

  • Parsing, normalizing and formatting of SMF Record Type 30, subtypes 1-6 in near real-time.

  • Intermittent storage in Apache Kafka cluster.

Instana APM z/OS common address space work traces

  • Traces are created when:

    • A batch job starts and ends.

    • A job step completes.

    • Interval accounting is active (frequency depends on the SMFPRMxx interval and synchronizing settings).

    • System address space accounting is active (frequency depends on the SMFPRMxx interval and synchronizing settings).

  • Error signal and event generation when steps and jobs end abnormally to alert DevOps teams timeously of any issues related to z/OS work.

  • All traces are enriched with custom tags to facilitate searching and filtering to easily locate mainframe traces for batch analysis.


  • Corrected bugs related to path specifications in the ziris.comm.config file.

z/IRIS v 1.3.0 ...

z/IRIS 1.3.0


Load Balancing & High Availability with Apache Kafka Integration

  • In order to guarantee High Availability and Load Balancing, streaming SMF records through an Apache Kafka Cluster is now possible.

  • z/IRIS IronTap subscribes to an Apache Kafka Cluster to consume SMF records.

  • The z/IRIS z/OS Client can be configured as an Apache Kafka Producer.


z/IRIS IronTap Linux Server

  • z/IRIS IronTap can consume SMF records from Apache Kafka.

  • The following SMF data is now included in the span and tag section in Instana APM: 

SMF Field Name

Instana Tag

SMFxSID ( System identification from the LPAR SID parameter)


SMFxSSI (Subsystem identification value set by the SUBSYS=option specified in the SMF macros)


  • z/IRIS IronTap metrics are visible in Instana:

    Click to enlarge IronTap metrics in Instana APM

z/OS Client

  • All z/OS Client logging is now controlled over the java.util.logging api. The default properties are provided in the $APP_HOME/lib/ file.

  • Throughput logging can be activated using the monitor.thruput.interval ziris.comm.config parameter. SMF Record throughput statistics will only be written to STDOUT when the logging level set to FINE as follows in

    ziris.comm.config extract example

    # monitor.thruput.interval defines an interval in seconds to display throughput
    #  statistics. Only takes effect if com.msc.zos.ziris=FINE in
    # default : 60 seconds                                                  
    # syntax : monitor.thruput.interval={5-3600}                            
    CODE logging level for throughput monitoring



  • Stabilized z/OS Client reconnect feature for mode=tcp.

Reported issues

  • None

z/IRIS 1.2.1 and earlier releases...

z/IRIS v 1.2.1


IronTap Linux Server

The names of the following fields have been changed to improve readability. The values were converted into CPU Seconds: 

Old name

New name

CPU End Time

(not displayed, used to calculate "Total CPU Seconds")

CPU Start Time

(not displayed, used to calculate "Total CPU Seconds)

CPU Time Executing DB2

Total MVS

DB2 Processing of Accel. Eligible SQL

Accelerator SQL on CP

DB2 Processing on ZIIP of Accel. Eligible SQL

Accelerator SQL on ZIIP

In-DB2 on ZIIP

In DB2

Main Appl. Triggers

Appl. Triggers

Nested Task Triggers on ZIIP

Nested Triggers

On ZIIP Total


SP on Std CPU Class 1 and 2

Appl. SP

SP on ZIIP Class 1 and 2

Appl. SP

SP Requests on ZIIP in-DB2


SP Sql Stmts in WLM Address Space


SP SQL Stmts on ZIIP in-DB2


Trigger Exeution on ZIIP

Appl. Trigger


UDF in WLM 2

UDF in-DB2 Class 1 and 2

Appl. UDF

UDF in-DB2 on ZIIP

In Db2 UDF in WLM


Appl. UDF

UDF processed in SP


WLM SP Address Spaces


ZIIP Eligible on Std CPU



Total CPU Seconds



z/OS Client

  • Improved decision branching for streaming modes (in preparation for ETL streaming option between client and server).

    • Message flooding prevention when reconnecting after a TCP connection/IO Failure. The z/OS Client will log 5 reconnect attempts and thereafter logging for the reconnect will be suppressed until a connection has been established. The following message will be logged in the STDOUT DD:

Jul 15, 2019, 10:31:41 AM ! ZIRISUAT 1 error reconnecting via TCP, EDC8128I Connection refused. (Connection refused)
Jul 15, 2019, 10:31:41 AM ! ZIRISUAT 1 Reconnect failed, automatic retry every 10 seconds.
                         Reconnect logging will be SUPPRESSED until a successful connection has been established


  • None

Reported issues

  • None

z/IRIS v 1.2.0

Major Features include:

  • Db2 LUWID correlation and ordering.

  • Detecting Stored Procedure metrics and tagging for Instana APM users.

  • Detecting Deadlock metrics and tagging for Instana APM users.


  • Instana APM - Response Time alignment to Instana standard (<1ms).

  • Simplified SQL Communication Area Output.


  • IFCID 3 parsing corrections between v11 and v12.

  • Statement Type in IFCID 63 - offset corrected to parse the self defining section.

  • Timestamp corrections.

Reported Issues

  • No reported issues

Accessing z/IRIS Software

All software packages and container images can be retrieved from the mainstorconcept JFrog repository. 

Please note:

Licenses are obtained seperately. Contact technical support or your z/IRIS representative to for more information.