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IBM i

IBM i

Collect performance data from your IBM i Hosts via this Remote extension.

Extension
Free trial
Packaged dashboardHost view - System overviewHost view - Memory pools and JobsHost view - Subsystem, Job queues, ASPsJob overviewASP and Disk viewMemory poolMessage queue
  • Product information
  • Release notes

Overview

Dynatrace offers remote monitoring of IBM i hosts via this ActiveGate extension.

The ingested data provides Dynatrace with real-time visibility into host performance through interactive visualization tools, dashboards, unified analysis and events. When combined with OneAgent monitoring, you gain the ability to understand how IBM i interacts with the other components in your stack.

Get started

Requirements

Note: For best performance and data collection, these requirements are strict. Always keep your system up to date.

  • ActiveGate must be 1.273+
  • Dynatrace version 1.273+
  • IBM has made significant performance improvements and introduced more accurate metrics in their latest Technology Refresh levels. For this reason, only the following IBM i Releases are supported:
    • IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)
    • IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)
    • IBM i 7.5
  • Communication ports between ActiveGate and IBM i Hosts must be open.

Ports to open

  • IBM i Access ODBC driver must be installed on ActiveGate. This is a specific driver provided by IBM for DB2 communication with IBM i hosts.

  • Connection pooling must be enabled on ODBC driver. On Windows, this is enabled by default.

  • Due to sensitive system data, IBM requires a user with SECOFR profile to access performance tables and all its functions. Failure to provide this access will cause issues with missing metrics, missing messages in queues, prohibited access to internal functions and calls made by IBM. You are free to configure other user classes with less privileges but it would not be supported.

    In addition, ensure that the user profile has *JOBCTL special authorization. It also needs *USE authority to the Work with PTF Groups (WRKPTFGRP) command.

Windows ActiveGates (For Linux, continue below)

ODBC driver installation

Follow these instructions if you are using ActiveGates running on Windows:

  • Head to IBM's website.
  • Click the Downloads for IBM i Access Solutions link.

Download link

  • Log in with your IBM account and accept the License terms.
  • The correct ODBC driver comes only in the "IBM i Access Client Solutions - Windows Application Package for Windows.". Only this package contains the ODBC driver needed. Do not install the "IBM i Access Client". Make sure you download the Windows package.

Windows package download

  • Extract file zip archive and follow its instructions to install on the ActiveGate.
  • After installation, confirm the IBM i Access driver is installed and Connection Pooling is enabled by running native ODBC Data Sources Windows application. You may increase its timeout to a number no less than 60.

ODBC setting

Linux ActiveGates (Advanced setup)

Linux distributions do not come with an ODBC driver manager and this is needed to connect to IBM i. unixODBC is the most accepted, compatible driver manager for Linux and it is also approved by IBM.

  • ⚠️ Installation of unixODBC requires advanced Linux knowledge.
  • 🛑 You must install unixODBC 2.3.12 or higher. Earlier versions are not supported due to necessary fixes only available on version 2.3.12 and newer.
  • Depending on your Linux distribution, this version might be available to your distribution (rpm, debian or others) or you may need to compile it from source code. This is the part where you might need a Linux administrator to make this determination.

Installing unixODBC, installs libraries and commands needed to connect to IBM i. Following this unixODBC, you must now install the IBM i Access ODBC Driver.

ODBC driver installation on Linux

  • Head to IBM's website.
  • Click the Downloads for IBM i Access Solutions link.

Download link

  • Log in with your IBM account and accept the License terms.
  • The correct ODBC driver comes only in the "IBM i Access Client Solutions -Linux Application Package for Linux.". Only this package contains the ODBC driver needed. Do not install the "IBM i Access Client". Make sure you download the Linux package.

Linux package download

  • Extract file zip archive and follow its instructions to install on the ActiveGate.
  • After installation, you must now enable Connection Pooling in the IBM i Access ODBC Driver definition in the odbcinst.ini file.
  • Locate your odbcinst.ini file, by default it is in /etc/odbcinst.ini or /etc/unixODBC/odbcinst.ini, then add CPTimeout=60 to each driver definition. This setting is needed for the extension to run and provide accurate measurements.

odbcinst.ini file config

  • ⚠️Installing IBM i Access ODBC Driver may install older dependencies, including older versions of unixODBC. Verify that you are still running unixODBC 2.3.12+ afterwards.

Extension configuration

  • Log into your Dynatrace console.

  • Under Extensions on the left menu, select IBM i.

  • Add a monitoring configuration.

This ActiveGate extension, also referred as "Remote", runs in ActiveGate groups.

  • Select which ActiveGate group will run this configuration. At least one ActiveGate must be in your group.

    • Log level: Enable DEBUG only when troubleshooting or support instructs you to do so.
    • Task bucket size: By default, all endpoints defined in a monitoring configuration create a task. Use this setting to create separate tasks for groups of endpoints defined in a monitoring configuration. This will allow you to optimize resource usage on your ActiveGate and potentially distribute execution across other ActiveGates in your group.
    • Add an IBM i Host: Click to configure each connection to individual hosts. All these connections will be run from this ActiveGate group.

Host

  • Host or IP address: Hostname or IP of the IBM i Host.
  • Use Credential Vault: Toggle this if you want to use a username/password already saved in your Credential Vault.
  • User name: Due to sensitive system data, table functions and internal stored procedures, a user with SECOFR access to the IBM i Host is required.
  • Password: Password to user above.
  • Use SSL: Toggle if connecting to host using SSL.

Host configuration

Jobs

  • Get Top active jobs: Toggle to collect Top N CPU consuming jobs. (Max 500). This requires the least amount of configuration as it automatically collects most taxing jobs by CPU. Disabling this toggle allows you to manually configure which jobs by certain filters.
    • Send log event on status of all jobs: Toggle this button to configure rules that will trigger a log event for any job on the system that matches a status. Resulting log event will include the job number as well.
  • Add job filter: If Top active jobs is disabled, you can manually configure rules that match certain jobs, by user and by subsystem too.
    • Send log event on status of this job: Toggle this button to configure rules that will trigger a log event if this job is in that status. Resulting log event will include the job number as well.

Jobs to monitor

Job queues

  • Add job queue filter: Configure a rule for job queues matching a name and/or library they are in.

Subsystems

  • Add subsystem filter: Configure a rule for subsystems matching a name and/or library they are in.

Job queues and Subsystems

Message queues to monitor

  • Add Message Queue filter: A default message queue is configured, QSYSOPR. Most system messages are in this queue. However, you may add more rules for other message queues. Only messages in these queues that have a minimum severity will be counted. Optionally you may see individual messages by triggering log events for those messages that match a criteria.
    • Minimum severity: Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.
    • Send log events on message: Toggle this button to trigger log events on messages that match severity and Message IDs and/or Message types.
      • Message IDs: Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.
      • Filter on message types: Toggle which Message types to filter on. Leave this blank to filter on any of them.

Message queues

History log messages to collect

  • Define rule: Most messages, even the ones from message queues, go into the History Log. You may filter what messages you are interested in. Multiple rules will collect different type of messages. Only messages that have a minimum severity and matching criteria will be counted. All messages found will be automatically sent as Dynatrace log events.
    • Minimum severity: Messages have a severity level from 0 to 99. Using this filter will eliminate noise and messages that are not critical.
      • Message IDs: Enter a comma-separated list of important Message IDs. You may leave this blank to match any message ID.
      • Filter on message types: Toggle which Message types to filter on. Leave this blank to filter on any of them.

Output queues

  • Add Output queue filter: Configure rules to collect output queues and information about their spooled files.

Network monitoring

  • Local addresses: Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic incoming traffic statistics to certain ports.
  • Remote addresses: Enter a comma-separated list of IP addresses or CIDR addresses and their port numbers. This is useful to see traffic outgoing traffic statistics to certain ports.

User status monitoring

Define whether to send log events if certain users are disabled. Users must be defined in a comma-separated list.

Advanced parameters

  • Polling frequency: By default, data is collected every 1 minute but you may configure frequency here. 1 minute data provides most accurate data.
  • Connection timeout: Time in seconds before it gives up trying to connect to IBM i Host. This should be fairly quick and should not be beyond 30 seconds.
  • Query timeout: Time in seconds before running a query timesout.
  • Important job statuses: A list of common job statuses. This list will keep the possible combination of job statuses to a minimum to avoid consuming too many DDUs. Any status not in this list will be placed in an "Other" status bucket. Log events triggered from job statuses will not be impacted by this list and will always match its true status.

Network and Advanced params

  • Lastly, select which feature sets (metric groups) you would like this configuration to collect. Selecting too few will not give you the proper visibility and you may miss out on important performance data causing gaps or empty screens.

Compatibility information

  • Windows and Linux ActiveGates
  • Supported releases:
    • IBM i 7.3 Technology Refresh 12+ (must have PTF Group SF99703 Level 28+)
    • IBM i 7.4 Technology Refresh 6+ (must have PTF Group SF99704 Level 20+)
    • IBM i 7.5

For Linux ActiveGates:

  • unixODBC 2.3.12 and higher

FAQ

Q: What is the DDU Consumption of this extension?

A: The formula for DDU consumption of the extension is:

  (15 + (11 * Memory pools) +  (7 * Jobs) +
  (9 * ASPs) +  (12 * Disk unit) + (5 * Job queues) + 
  ((3 * Output queues) * (3 * Spooled files)) + 
  (1 * Subsystems) + (1 * Network interfaces) + 
  (7 * Network connections) + (1 * Message queues) + 1 History Log ) * 525.6 DDUs/year, per Host

The following example assumes you collect all feature sets (metric groups) every minute.

Example, monitoring 1 Host with 4 Memory pools, 5 Subsystems, 1 ASP with 20 Disk units, 10 Job queues, 200 Jobs, 1 Message queue, 3 Interfaces, 5 Network connections, 3 Output queues and each one with 5 spooled files produces the following:

(15 + (11 * 4) + (7 * 200) + (9 * 10) + (12 * 20) + (10 * 5) + ((3 * 3) * (3 * 5)) + (1 *5) + (1 * 3) + (7 * 5) * (1 *1) +1) * 525.6 DDUs/year = 1,061,185 (1M) DDUs/year

DDU cost above does not include any possible Log events or Custom events triggered by the extension. For more information on this, please visit the DDU log event cost and DDU custom event cost pages.

Screenshots

Included dashboards:

Included dashboard Included dashboard

System view

System view System properties System view - Memory pools and Active Jobs System view - Job queues, Subsystems, ASPs, Message Queues System view - Output queues

Memory pool

Memory pool

Job view

Job view

ASP and Disks

ASP and disks

Job queue properties

Job queue properties

Message queue

Message queue and event

Output queue and spooled files

Output queue and Spooled files

Network

Network traffic

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Support

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Extension content

Content typeNumber of items included
screen message cards
10
alerts
3
screen entities lists
29
screen logs cards
4
generic relationship
13
screen events cards
1
generic type
14
screen properties
13
screen metric tables
1
dashboards
1
screen layout
14
screen chart groups
20
list screen layout
14
metric metadata
77

Feature sets

Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.

Feature setsNumber of metrics included
Metric nameMetric keyDescriptionUnit
CPU rateibm_i.system.cpu_rateThe average CPU rate expressed as a percentage where 100% indicates the processor is running at its nominal frequency. A value above or below 100% indicates how much the processor has been slowed down (throttled) or speeded up (turbo) relative to the nominal frequency for the processor model.Percent
Avg. CPU utilizationibm_i.system.avg_cpu_utilizationThe average CPU utilization for all the active processors in 15 seconds elapsed time.Percent
Min. CPU utilizationibm_i.system.min_cpu_utilizationThe CPU utilization of the processor that reported the minimum amount of CPU utilization in 15 seconds elapsed time.Percent
Max. CPU utilizationibm_i.system.max_cpu_utilizationThe CPU utilization of the processor that reported the maximum amount of CPU utilization in 15 seconds elapsed time.Percent
Metric nameMetric keyDescriptionUnit
Active jobsibm_i.subsystem.current_active_jobsThe number of jobs currently active in the subsystem. This number includes held jobs but excludes jobs that are disconnected or suspended because of a transfer secondary job or a transfer group job. If STATUS is INACTIVE, returns 0.Count
Metric nameMetric keyDescriptionUnit
Total sizeibm_i.output_queue.spooled_file.total_sizeThe size of the spooled file.Byte
Total pagesibm_i.output_queue.spooled_file.total_pagesThe total number of pages in the file.Count
Remaining copiesibm_i.output_queue.spooled_file.total_remaining_copiesThe number of copies remaining to print.Count
Metric nameMetric keyDescriptionUnit
Matched messagesibm_i.message_queue.matched_messagesNumber of messages that are in queue that match severity, message IDs and message types (if configured).Count
Metric nameMetric keyDescriptionUnit
Total sizeibm_i.spooling.total_sizeSum size of all spooled files by user.KiloByte
Metric nameMetric keyDescriptionUnit
Current sizeibm_i.memory_pool.current_sizeThe amount of main storage, in megabytes, in the pool.MegaByte
Reserved sizeibm_i.memory_pool.reserved_sizeThe amount of storage, in megabytes, in the pool reserved for system use (for example, for save/restore operations).MegaByte
Defined sizeibm_i.memory_pool.defined_sizeThe size of the pool, in megabytes, as defined in the shared pool, subsystem description, or system value QMCHPOOL. Contains the null value for a pool without a defined size.MegaByte
Max active threadsibm_i.memory_pool.maximum_active_threadsThe maximum number of threads that can be active in the pool at any one time.Count
Current threadsibm_i.memory_pool.current_threadsThe number of threads currently using the pool.Count
Ineligible threadsibm_i.memory_pool.current_ineligible_threadsThe number of ineligible threads in the pool. Ineligible threads are threads that are ready to run but the memory pool activity level is at its maximum.Count
Database faultsibm_i.memory_pool.database_faultsThe rate, in page faults per second, of database page faults against pages containing either database access paths or data.PerSecond
Non-database faultsibm_i.memory_pool.non_database_faultsThe rate, in page faults per second, of nondatabase page faults against pages other than those designated as database pages.PerSecond
Total faultsibm_i.memory_pool.total_faultsThe rate, in page faults per second, of database faults and non-database faults.PerSecond
Database pagesibm_i.memory_pool.database_pagesThe rate, in pages per second, at which database pages are brought into the storage pool.PerSecond
Non-database pagesibm_i.memory_pool.non_database_pagesThe rate in pages per second at which nondatabase pages are brought into the storage pool.PerSecond
Metric nameMetric keyDescriptionUnit
Total capacityibm_i.asp.total_capacityThe total number of used and unused megabytes in the ASP. A special value of -2 is returned if the size of this field is exceeded. Contains the null value if the capacity cannot be determined.MegaByte
Capacity availableibm_i.asp.total_capacity_availableThe total number of unused megabytes in the ASP. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.MegaByte
Percent ASP usedibm_i.asp.percentage_asp_usedPercentage of ASP space used against total capacity.Percent
Protected capacityibm_i.asp.protected_capacityThe total number of used and unused megabytes in the ASP that are protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.MegaByte
Protected capacity availableibm_i.asp.protected_capacity_availableThe number of unused megabytes in the ASP that are protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.MegaByte
Percent protected ASP usedibm_i.asp.percentage_protected_asp_usedPercentage of protected ASP space used against protected total capacity.Percent
Unprotected capacityibm_i.asp.unprotected_capacityThe total number of used and unused megabytes in the ASP that are not protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.MegaByte
Unprotected capacity availableibm_i.asp.unprotected_capacity_availableThe number of unused megabytes in the ASP that are not protected by mirroring or device parity. A special value of -2 is returned if the value was too big to return. Contains the null value if the capacity cannot be determined.MegaByte
Unprotected ASP usedibm_i.asp.percentage_unprotected_asp_usedPercentage of unprotected ASP space used against unprotected total capacity.Percent
Metric nameMetric keyDescriptionUnit
Total sizeibm_i.output_queue.total_sizeThe total size of spooled files in this output queue.KiloByte
Metric nameMetric keyDescriptionUnit
Interface statusibm_i.interface.statusA counter of 1 for every network interface that is on host. Used for returning all metadata about an interface.Unspecified
Metric nameMetric keyDescriptionUnit
Unit capacityibm_i.disk.unit_storage_capacityStorage capacity for configured units.Byte
Unit space availableibm_i.disk.unit_space_availableSpace available on the unit for use.Byte
Unit percent usedibm_i.disk.percent_usedThe percentage that the disk unit has been consumed.Percent
SSD power-on daysibm_i.disk.ssd_power_on_daysThe number of days that the SSD device has been active in a system. Contains the null value if this disk is not SSD or if the information is not available.Count
SSD life remainingibm_i.disk.ssd_life_remainingThe percentage of the lifetime remaining for the SSD device. This estimates the percentage of usable function remaining for the drive before it should be replaced. Calculations for this percentage include more than just the number of bytes written and supported. Contains the null value if this disk is not SSD or if the information is not available.Percent
I/O requestsibm_i.disk.io_requestsThe average number of I/O requests for read and write operations that occurred per second during the elapsed time.PerSecond
Avg I/O request sizeibm_i.disk.request_sizeThe average size of an I/O request in KB during the elapsed time.KiloByte
Avg read requestsibm_i.disk.read_requestsThe average number of requests per second to transfer data from the disk unit during the elapsed time.PerSecond
Avg write requestsibm_i.disk.write_requestsThe average number of requests per second to transfer data to the disk unit during the elapsed time.PerSecond
Avg data readibm_i.disk.data_readThe average amount of data, in KB, transferred from the disk unit, per request, during the elapsed time.KiloByte
Avg data writtenibm_i.disk.data_writtenThe average amount of data, in KB, transferred to the disk unit, per request, during the elapsed time.KiloByte
Percent busyibm_i.disk.percent_busyThe estimated percentage of time the disk unit is being used during the elapsed time.Percent
Metric nameMetric keyDescriptionUnit
Matched messagesibm_i.history_log.matched_messagesNumber of messages in History log that matched severity, message IDs and message types (if configured).Count
Metric nameMetric keyDescriptionUnit
Number of filesibm_i.output_queue.number_of_filesThe total number of spooled or printer files currently on this output queue.Count
Number of writersibm_i.output_queue.number_of_writersThe number of printer writers that have been started to this output queue.Count
Total sizeibm_i.output_queue.total_sizeThe total size of spooled files in this output queue.KiloByte
Metric nameMetric keyDescriptionUnit
Number of jobsibm_i.job_queue.number_of_jobsThe number of jobs in the queue.Count
Active jobsibm_i.job_queue.active_jobsThe current number of jobs that are active that came through this job queue entry. Contains the null value if this job queue is not associated with an active subsystemCount
Held jobsibm_i.job_queue.held_jobsThe current number of jobs that are in *HELD status.Count
Released jobsibm_i.job_queue.released_jobsThe current number of jobs that are in *RELEASED status.Count
Scheduled jobsibm_i.job_queue.scheduled_jobsThe current number of jobs that are in *SCHEDULED status.Count
Metric nameMetric keyDescriptionUnit
Availabilityibm_i.system.availabilityPercentage of time this host was available or reachable from this extensionPercent
Metric nameMetric keyDescriptionUnit
Threadsibm_i.job.threads_cntThe number of active threads in the job.Count
Temporary storageibm_i.job.temporary_storage_usedThe amount of temporary storage, in megabytes, that is currently allocated to this job.MegaByte
Total disk I/Oibm_i.job.disk_ioThe number of disk I/O operations performed by the job during the measurement time interval. This is the sum of the asynchronous and synchronous disk I/O.Count
CPU percentageibm_i.job.cpu_percentageThe percent of processing unit time attributed to this job during the measurement time interval.Percent
Response timeibm_i.job.response_timeThe total response time over the measurement time interval, in seconds. ONLY available to interactive jobs.Second
Instancesibm_i.job.instancesNumber of job instances (or job numbers) running under a user and job name. This number can indicate if too few instances or too many instances are running for a specific process.Count
Status countibm_i.job.status_cntA count of job status for each job. This will visualize how many job instances are in different status. If an event for status was configured to trigger during endpoint configuration, event will contain the specific job number.Count
Metric nameMetric keyDescriptionUnit
Idle timeibm_i.network.idle_timeThe length of time, in seconds, since the last activity on this connection.Second
Bytes sentibm_i.network.bytes_sent_countThe number of bytes sent to the remote host.Byte
Bytes receivedibm_i.network.bytes_received_countThe number of bytes received from the remote host.Byte
Round trip timeibm_i.network.round_trip_timeThe smoothed round-trip time interval in milliseconds. This is a measure of the time required for a segment on the connection to arrive at its destination, to be processed, and to return an acknowledgment to the client. Contains null if PROTOCOL is UDP.MilliSecond
Round trip varianceibm_i.network.round_trip_varianceThe variance in milliseconds from the previous round-trip time. Contains null if PROTOCOL is UDPMilliSecond
Retransmissionsibm_i.network.retransmissions_countThe number of times the local system retransmitted a segment because an acknowledgement was not received. This is a count of all segments resent during the entire time the connection has been active. Contains null if PROTOCOL is UDP.Count
TCP connections establishedibm_i.network.tcp_connections_currently_establishedThe number of TCP connections for which the current state is either ESTABLISHED or CLOSE-WAIT. Contains null if PROTOCOL is UDP.Count
Metric nameMetric keyDescriptionUnit
Total jobsibm_i.system.total_jobsThe total number of user and system jobs that are currently in the system.Count
Active jobsibm_i.system.active_jobsThe number of jobs active in the system (jobs that have been started, but have not yet ended), including both user and system jobs.Count
Percentage total jobsibm_i.system.percentage_total_jobsThe percentage of current total jobs over maximum jobs allowed.Percent
% Interactive performanceibm_i.system.interactive_jobsThe percentage of interactive performance assigned to this logical partition. This value is a percentage of the total interactive performance available to the entire physical system.Percent
System ASP usedibm_i.system.system_asp_usedThe percentage of the system storage pool (ASP number 1) currently in use.Percent
Maximum temporary storage usedibm_i.system.maximum_temporary_storage_usedThe largest amount of storage, in megabytes, used for temporary objects at any one time since the last IPL.MegaByte
Current temporary storage usedibm_i.system.current_temporary_storageThe current amount of storage, in megabytes, in use for temporary objects.MegaByte
Active threadsibm_i.system.active_threadsThe number of initial and secondary threads in the system (threads that have been started, but have not yet ended), including both user and system threads.Count

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.
ReleaseDate

Full version history

Issues resolved in this version:

  • Resolved issue where Jobs were not collected after upgrading from a previous version.

Full version history

  • Added Credential Vault support.
  • Added User status monitoring to send log events when certain users are disabled.
  • Modified parameters to connection string to support KeepAlive.
  • Fixed an issue with multi-threading.

Full version history

  • Added Task bucket size feature to allow ActiveGates to create multiple tasks per group of endpoints and potentially spread across multiple ActiveGates in a group.

Full version history

  • Resolved issue where restarts were occurring due to No KeepAlive errors.

Full version history

  • Fixed issue with initial version check
  • Fixed issue with Message Queues not collecting data when not sending lot events

Full version history

⚠️New entities for Jobs will be created as internal IDs have changed. They will have the same name so any alerting rules you previously created will continue to work just fine. However, you may see duplicate job entities for a few hours. ⚠️

  • History Log has been added.
  • Output queue size metric has been moved to its own feature set. If you are interested in this metric, please be sure to select it in your feature sets.

Full version history

  • Adjusted Job metric aggregations.
  • Modified CPTimeout check parameter for Linux deployments.

Full version history

  • Added extra fields to log events.
  • Adjusted disk metric aggregations

Full version history

  • Resolved issue with only one message queue reporting events.
  • Resolved issue with jobs failing to retrieve when a custom subsystem was entered.
  • Updated out-of-the-box dashboard to remove limit of Hosts listed.

Full version history

  • Resolved issue with CPU metric not always reporting.

Full version history

  • Added support for Linux ActiveGates
  • Added management zone support to metrics.
  • Various UI enhancements and metadata

Full version history

  • Increased Message IDs field filter

Full version history

  • Added Percentage of Total Jobs over Max Jobs metric
  • Added More metadata to log events
  • Changes to UI to reflect above changes.

Full version history

  • Fix to response time metric

Full version history

  • Added EEC version check

Full version history

  • New framework 2.0
  • New look and feel
  • More metrics and metadata
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  • log-analytics
  • microservices
  • apm
  • cloud
  • full-stack
  • k8s
  • Kubernetes
  • platform
  • pods
IBM HTTP Server logo

IBM HTTP Server

Automatically and intelligently monitor, analyze, and optimize your applications developed with IBM HTTP Server.

Technology
  • ibm
  • httpserver
  • rum
  • web-server
IBM JVM logo

IBM JVM

Automatically and intelligently monitor, analyze, and optimize the performance of your virtual machine.

Technology
  • application-monitoring
  • ibm
  • runtime
  • virtual-machine
  • full-stack
  • java
  • jvm
IBM AIX logo

IBM AIX

Series of proprietary Unix operating systems developed and sold by IBM.

Technology
  • ibm
  • infrastructure
  • server-monitoring
  • cloud
IBM DB2 logo

IBM DB2

Data management products, including database servers, developed by IBM.

Technology
  • ibm
  • mainframe
  • database
  • z/OS
IBM WebSphere Application Server logo

IBM WebSphere Application Server

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed anywhere in your stack.

Technology
  • application-monitoring
  • application-server
  • ibm
  • retail-commerce
  • runtime-enviroment
  • apm
  • full-stack
  • jakarta-ee
  • java
  • JEE
  • web
IBM WebSphere Liberty for z/OS logo

IBM WebSphere Liberty for z/OS

Automatically and intelligently monitor, analyze, and optimize your application server and all applications deployed on it.

Technology
  • application-server
  • ibm
  • mainframe
  • z/OS
IBM z/OS logo

IBM z/OS

Intelligently monitor the performance and availability of your LPARs and regions.

Technology
  • ibm
  • mainframe
  • os
  • z/OS
IBM Datapower logo

IBM Datapower

Enable remote monitoring of your DataPower gateways with this extension.

Extension
  • extension
  • ibm
  • datapower
IBM z/OS Connect Enterprise Edition logo

IBM z/OS Connect Enterprise Edition

Modernize to hybrid cloud infrastructure with end-to-end observability from the mainframe to the cloud, and everything in between.

Technology
  • api
  • cics
  • hybrid cloud
  • ibm
  • ims
  • mainframe
  • z/OS
IBM App Connect Enterprise logo

IBM App Connect Enterprise

Allows business information to flow between applications across multiple platforms.

Technology
  • ibm
  • integration
Message Queues logo

Message Queues

Monitor message queues and quickly detect anomalies in critical apps.

App
  • ActiveMQ
  • IBM MQ
  • RabbitMQ
  • Apache Kafka
  • MSMQ
Google AI Platform logo

Google AI Platform

Get insights into Google AI Platform service metrics collected from the Google Operations API to ensure health of your cloud infrastructure.

Extension
  • ai
  • artificial-intelligence
  • cloud-and-infrastructure
  • gcp ai
  • google ai
  • machine learning
  • machine-learning
  • cloud
  • gcp
  • Google Cloud Platform
  • google ml
  • ml
Davis Anomaly Detection logo

Davis Anomaly Detection

Detect anomalies in timeseries using the Davis AI

App
  • ai
  • analysis
  • davis
  • grail
  • timeseries
  • analyzer
  • forecast
  • notebook
Azure Anomaly Detector logo

Azure Anomaly Detector

Detects anomalies in time series data with numerical values that are uniformly spaced in time.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
TensorFlow Keras logo

TensorFlow Keras

Observe the training progress of TensorFlow Keras AI models

Technology
  • ai
  • AI Observability
  • Maschine Learning
  • TensorBoard
Amazon Bedrock logo

Amazon Bedrock

Observe end-to-end generative AI models provided by Amazon Bedrock.

Technology
  • ai
  • AI Observability
  • artificial-intelligence
  • generative AI
  • amazon
  • aws
Azure Custom Vision Prediction logo

Azure Custom Vision Prediction

Customize computer vision for specific domain. No machine learning expertise is required.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Bing Spell Check logo

Azure Bing Spell Check

Correct spelling and word breaks errors, recognize slang, names, homonyms, brands and more.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Personalizer logo

Azure Personalizer

An AI service that prioritizes relevant content, layouts, and conversations to deliver personalized user experience.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Face logo

Azure Face

An AI service that analyzes faces in images.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Davis CoPilot Chat logo

Davis CoPilot Chat

Get quick answers from your generative AI assistant.

App
  • ai
  • copilot
  • davis
  • chat
  • dql
Azure Content Moderator logo

Azure Content Moderator

AI service for content moderation and human review tool for images, text, and videos.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Translator logo

Azure Translator

AI powered service to translate text in real time across more than 70 languages.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Speech To Text logo

Azure Speech To Text

An AI service that accurately converts spoken audio to text.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Language Understanding (LUIS) logo

Azure Language Understanding (LUIS)

An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Google Vertex AI logo

Google Vertex AI

Get insights into Google Vertex AI service metrics.

Extension
  • ai
  • artificial-intelligence
  • cloud-and-infrastructure
  • gcp ai
  • google ai
  • machine-learning
  • cloud
  • gcp
  • Google Cloud Platform
  • google ml
  • ml
LangChain logo

LangChain

Monitor your generative AI LLM applications built by LangChain framework.

Technology
  • ai
  • AI Observability
  • generative AI
  • langchain
  • Large Language Model (LLM)
Azure Ink Recognizer logo

Azure Ink Recognizer

An AI service that provides a cloud-based REST API to analyze and recognize digital ink content.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Bing Search logo

Azure Bing Search

Build apps and services that find webpages, images, news, locations, and more.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Bing Entity Search logo

Azure Bing Entity Search

Bring rich context data to your apps through entity information for a more engaging experience.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Custom Vision Training logo

Azure Custom Vision Training

Customize computer vision for specific domain. No machine learning expertise is required.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Bing Custom Search logo

Azure Bing Custom Search

An easy-to-use, ad-free, commercial-grade search tool that lets you deliver the results you want.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Bing Autosuggest logo

Azure Bing Autosuggest

Helps users complete queries faster by adding intelligent type-ahead capabilities to your app or website.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Azure Text Analytics logo

Azure Text Analytics

Uncover insights such as sentiment, entities, and key phrases in unstructured text.

Technology
  • ai
  • machine-learning
  • Microsoft Azure
Xcode logo

Xcode

Environment containing a suite for developing software for macOS, iOS, iPadOS, watchOS, and tvOS.

Technology
  • development-environment
  • ios
  • apple
Ionic logo

Ionic

Monitor hybrid mobile apps built with the Ionic framework running on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
  • web
Apache Cordova logo

Apache Cordova

Monitor hybrid mobile apps built with Cordova running on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
  • web
Session Replay Classic logo

Session Replay Classic

Fix bugs and simplify complex issues with visual recordings of user sessions.

App
  • Amazon Web Services
  • android
  • ios
  • real-user-monitoring
  • session-replay
  • web-application
Oracle Connector Hub signals ingest logo

Oracle Connector Hub signals ingest

Observe OCI services with signals ingested from the Oracle Connector Hub

Technology
  • OCI
  • oracle
Threats & Exploits logo

Threats & Exploits

Understand, triage, and investigate application security findings and alerts.

App
  • cybersecurity
  • detection
  • IDR
  • incident
  • security
  • ADR
  • attack
  • RAP
Windows Communication Foundation (WCF) logo

Windows Communication Foundation (WCF)

Free and open-source runtime in the .NET Framework for building connected, service-oriented apps.

Technology
  • api
  • indigo
  • runtime
  • windows
Cribl via HTTP logo

Cribl via HTTP

Ingest logs and events using Cribl Stream™

Technology
  • api
  • Cribl
  • logs in grail
  • logs
Salesforce Extension logo

Salesforce Extension

Monitor your Salesforce account using Dynatrace

Extension
  • api
  • eventlogfile
  • apex
  • log
  • salesforce
  • soql
Adobe PhoneGap logo

Adobe PhoneGap

Monitor hybrid mobile apps built with Adobe PhoneGap running on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
  • web
containerd logo

containerd

Distributed tracing and metrics for services in containerd in Kubernetes.

Technology
  • container
  • container runtime
  • CRI
  • infrastructure
  • microservices
  • k8s
  • Kubernetes
Apigee logo

Apigee

Remotely monitor your Apigee proxies.

Extension
  • api
  • apigee
  • application-monitoring
tvOS logo

tvOS

Monitor mobile apps running on Apple TV.

Technology
  • application-performance
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • full-stack
  • tvos
Google Cloud IoT Core logo

Google Cloud IoT Core

Get insights into Google Cloud IoT Core metrics collected from the Google Operations API to ensure health of your cloud infrastructure.

Extension
  • cloud-and-infrastructure
  • iot
  • cloud
  • gcp
  • Google Cloud Platform
Nobl9 SLO Platform logo

Nobl9 SLO Platform

Nobl9 simplifies SLO usage with an integrated approach that enables SLI collection, SLO calculation, and error budget alerts.

Technology by Nobl9
  • service level objectives
  • SLI
  • error budgets
  • SLQ
  • SRE
Kong - Prometheus logo

Kong - Prometheus

Monitor Prometheus metrics exposed by Kong and proxied upstream services

Extension
  • api
  • extension
  • ServiceMesh
  • kong
Service-Level Objectives Classic logo

Service-Level Objectives Classic

Use SLOs to review the health status and error budgets of critical services.

App
  • SLI
  • devops
  • error budgets
  • slo
  • SRE
Xamarin logo

Xamarin

Monitor mobile applications built with Microsofts's popular Xamarin platform running on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • microsoft
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
Flutter logo

Flutter

Monitor mobile applications built with Flutter on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
Kong AI logo

Kong AI

Automatic, intelligent observability for Kong AI and LLM API traffic.

Technology
  • AI Observability
  • api
Service-Level Objectives logo

Service-Level Objectives

Manage SLOs and error budgets to ensure service performance and reliability SLAs

App
  • service level objectives
  • SLI
  • SLO configuration
  • devops
  • error budgets
  • sla
  • SLAs
  • slo
  • slos
  • SRE
Dashboards logo

Dashboards

Transform complex data into clear visualizations with custom dashboards.

App
  • kpi
  • visualisation
  • visualization
  • dashboard
Custom Extensions Creator logo

Custom Extensions Creator

Create custom extensions with a few clicks

App
  • custom queries
  • extensions
  • queries
  • WMI
  • app
  • database
  • datasource
  • JMX
  • Prometheus
  • query
  • snmp
  • snmptraps
  • sql
cri-o logo

cri-o

Distributed tracing and metrics for services in cri-o containers in Kubernetes.

Technology
  • container
  • container runtime
  • CRI
  • infrastructure
  • microservices
  • openshift
  • k8s
  • Kubernetes
React Native logo

React Native

Monitor mobile applications built with React Native running on iOS or Android.

Technology
  • android
  • hybrid-app
  • ios
  • mobile
  • mobile-app
  • mobile-app-monitoring
  • cross-platform
  • framework
IBM AIX VIOS logo

IBM AIX VIOS

Complete infrastructure monitoring for your IBM Virtual I/O Server (VIOS).

Technology
  • AIX
  • I/O Server
  • VIOS
Runtime Vulnerability Analytics logo

Runtime Vulnerability Analytics

Detect vulnerabilities in your environment with contextualized risk assessment.

Technology
  • analytics
  • application
  • libraries
  • risk
  • runtime
  • security
  • vulnerabilities
  • cve
  • dotnet
  • java
  • Kubernetes
  • .net
  • nodejs
  • php
Jira logo

Jira

Create, query, comment, transition, and resolve Jira tickets within workflows.

App
  • atlassian
  • automation
  • incident management
  • jira
  • workflow action
  • workflow actions
  • workflow automation
  • connector
  • connectors
  • workflow
  • workflows
.NET logo

.NET

Automatic end-to-end observability for .NET applications and processes.

Extension
  • owin
  • ado.net
  • asp.net
  • asp.net core
  • katana
  • kestrel
  • .net
  • .net core
  • .NET Framework
  • rum
ZigiOps - Integration Platform logo

ZigiOps - Integration Platform

ZigiOps is a highly scalable no-code integration platform, which creates powerful integrations within minutes with security in mind.

Technology by ZigiWave
  • BMC Helix
  • itom
  • itsm
  • jira
  • Jira SD
  • Micro Focus
  • ServiceNow
  • BMC Remedy
  • BMC Remedyforce
  • Cherwell
  • devops
  • TOPdesk
  • vrOps
  • Zendesk
VMware Tanzu logo

VMware Tanzu

Harness automation and AI to simplify Kubernetes observability at scale.

Technology
  • application
  • container
  • infrastructure
  • pivotal
  • TGKI
  • TKGI
  • k8s
  • Kubernetes
  • pods
Jira Integration logo

Jira Integration

Integrate Dynatrace metrics and problem analysis into automated Jira workflows.

Technology by Alanata
  • automation
  • Incident Management
  • itsm
  • jira
  • CMDB
  • devops
OCSF logo

OCSF

Ingest security findings in Open Cybersecurity Schema Framework (OCSF) format.

Technology
  • compliance
  • detection
  • findings
  • ingest
  • integration
  • normalize
  • openpipeline
  • security
  • siem
  • third-party
  • unify
  • vulnerability
  • devsecops
  • external
  • ocsf
  • push
  • schema
  • soar
  • standard
Vulnerabilities logo

Vulnerabilities

Detect and prioritize vulnerabilities to improve your environment's security.

App
  • compliance
  • cybersecurity
  • infosec
  • mitigation
  • remediation
  • risk
  • security
  • severity
  • vulnerability
  • cve
  • CVSS
  • devsecops
  • patch
Security Investigator logo

Security Investigator

Fast and precise forensics for security and logs on Grail data with DQL queries.

App
  • dfir
  • forensics
  • grail
  • investigation
  • security
  • dpl
  • dql
  • event
  • log
  • logs
  • splunk
Runtime Application Protection logo

Runtime Application Protection

Detect and block attacks on your applications automatically and in real time.

Technology
  • protection
  • risk
  • runtime
  • security
  • attack
  • java
Application audit logs via AWS AppFabric logo

Application audit logs via AWS AppFabric

Oversee security and monitor audit logs of SaaS applications with Dynatrace

Technology
  • jira
  • log-analytics
  • logging
  • log-ingest-integration
  • logs in grail
  • miro
  • security
  • security investigation
  • asana
  • aws
  • dropbox
  • log
  • okta
  • saas
  • slack
  • smartsheet
  • Zendesk
  • zoom
Storage Management logo

Storage Management

Organize your data and define retention times with custom Grail buckets.

App
  • administration
  • data retention
  • grail
  • settings
  • buckets
Selenium WebDriver logo

Selenium WebDriver

Web automation framework that allows you to execute your tests against different browsers.

Technology
  • ci/cd
  • devops
  • web
Prometheus logo

Prometheus

Unlock Prometheus power with intelligent analytics and automated insights.

Technology
  • InfluxDB
  • RabbitMQ
  • Redis
  • Apache Spark
  • CEPH
  • Confluent
  • couchbase
  • HAProxy
  • Memcached
  • netapp
  • node-exporter
  • PowerDNS
  • Prometheus
  • ZFS
OpenPipeline logo

OpenPipeline

Configure ingest, processing, and persistence of data sent to Grail.

App
  • administration
  • data transformation
  • grail
  • ingest
  • log processing
  • pipeline
  • settings
Concourse logo

Concourse

Concourse is the automation engine for cloud native CI/CD.

Technology
  • ci/cd
  • devops
Redis (2.0) logo

Redis (2.0)

Collect important additional data for your Redis instances.

Extension
  • extension
  • Redis
  • 2.0
AWS Security Hub logo

AWS Security Hub

Ingest AWS Security Hub vulnerabilities, detections, and compliance findings.

App
  • compliance
  • detection
  • eventbridge
  • findings
  • ingest
  • integration
  • normalize
  • openpipeline
  • security
  • semantic-dictionary
  • third-party
  • unify
  • vulnerability
  • amazon
  • aws
  • devsecops
  • external
  • push
Problems logo

Problems

Analyze abnormal system behavior and performance problems detected by Davis AI.

App
  • davis
  • grail
  • root cause analysis
  • problems
OpenAI logo

OpenAI

Monitoring your OpenAI & Azure OpenAI services such as GPT, o1, DALL-E, ChatGPT.

Technology
  • AI Observability
  • Azure OpenAI
  • davis
  • Microsoft Azure
  • OpenAI
  • GPT-3
  • GPT-4
TeamCity logo

TeamCity

Powerful continuous integration out of the box.

Technology
  • ci/cd
  • devops
Bitbucket logo

Bitbucket

Bitbucket pipelines with real-time monitoring and automated issue detection

Technology
  • ci/cd
  • version-control
  • devops
Salt Stack logo

Salt Stack

Infrastructure automation software that is used to drive security and reliability.

Technology
  • ci/cd
  • devops
Email logo

Email

Send out-of-the-box targeted Emails with workflows.

App
  • business collaboration platform
  • email
  • enterprise-grade-messaging
  • Notification
  • workflow action
  • workflow actions
  • workflow automation
  • connector
  • connectors
  • workflow
  • workflows
Snyk logo

Snyk

Ingest Snyk vulnerability findings, scans, and audit logs.

Extension
  • audit
  • findings
  • ingest
  • integration
  • normalize
  • security
  • vulnerability
  • coverage
  • devsecops
  • scan
PHPUnit logo

PHPUnit

Unit testing framework for the PHP programming language.

Technology
  • ci/cd
  • php
Gatling logo

Gatling

Open-source load and performance testing framework based on Scala, Akka and Netty.

Technology
  • ci/cd
  • load-testing
  • devops
DeepSeek logo

DeepSeek

End-to-end observability for DeepSeek models on Amazon Bedrock like R1, V3.

Technology
  • AI Observability
  • genai
  • Deepseek
Amazon GuardDuty logo

Amazon GuardDuty

Ingest Amazon GuardDuty detection findings.

App
  • detection
  • findings
  • ingest
  • integration
  • normalize
  • openpipeline
  • security
  • semantic-dictionary
  • third-party
  • unify
  • amazon
  • aws
  • devsecops
  • external
  • push
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Omnilogy

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Phenisys

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AskMe Solutions & Consultants Co Ltd

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Eviden

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Spindox

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Spica Solutions

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Moviri

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avodaq AG

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Matrix

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Alanata

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