Monitoring features
The Monitoring is available with a base license or an advanced license. The following components are included:
Monitoring server
For more information, see the Monitoring topic.
IBM Monitoring DataProvider Management (formerly called IBM Cloud Pak for Multicloud Management Cloud Native Monitoring)
To monitor a Kubernetes managed cluster, you can install Monitoring DataProvider Management, which was formerly called Cloud Native Monitoring. Through the application management function, monitoring data collectors can be deployed onto Kubernetes clusters and configured to connect to Monitoring server.
Agents
For more information, see the agents Overview topic.
Monitoring Data Collectors
Contains: Kubernetes data collector and runtime data collectors, including Go data collector, J2SE data collector, Liberty data collector, Node.js data collector, Python data collector, and Ruby data collector. For more information, see the agents Overview topic.
Unified Agent
The Unified Agent is a cost effective solution for development and maintenance. It integrates the open source technologies and provides the capacity to collect metrics, tracing, and events. The Unified Agent provides a lightweight plug-in architecture, supports cloud native environment, and can be expanded.
Use the Unified Agent to collect, process, aggregate, and write metrics to your IBM Cloud Pak for Multicloud Management environment. It is based on Telegraf. For more information, see the agents Overview topic.
Agent Extension Pack
The Extension Pack extends system monitoring to other environments. The extension pack starts with the SAP HANA Database agent, which provides usage data such as memory and CPU usage, database locks, and critical alerts. Database administrators can use the information that is collected by the SAP HANA Database agent to complete monitoring and other tasks such as responding to alerts. The extension pack is available with both a base and advanced license.
Note: The event source integration features (marked with an asterisk (*) in the following table) comes from the bundled IBM Cloud Event Management product.
For more information about part numbers, see the Part numbers topic.
The following table lists the features and capabilities:
Feature | Base | Advanced | Links |
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View metering metrics | ![]() |
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Create thresholds | ![]() |
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Native event source integration | ![]() |
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Event source integration with Datadog* | ![]() |
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Event source integration with New Relic Legacy* | ![]() |
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Event source integration with Amazon Web Services* | ![]() |
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Event source integration with Microsoft™ Azure* | ![]() |
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Event source integration with Netcool OMNIbus | ![]() |
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Event source integration with Jenkins* | ![]() |
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Event source integration with Pingdom * | ![]() |
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Event source integration with AppDynamics * | ![]() |
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Event source integration with Nagios XI * | ![]() |
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Event source integration with SolarWinds * | ![]() |
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Event source integration with Splunk Enterprise * | ![]() |
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Event source integration with Webhook * | ![]() |
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Event source integration with Logstash * | ![]() |
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Event source integration with Elasticsearch * | ![]() |
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Event source integration with Dynatrace Splunk * | ![]() |
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Event source integration with IBM Urban Code Deploy * | ![]() |
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Create event policies and runbooks for internal event sources | ![]() |
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Create event policies and runbooks for external event sources | ![]() |
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Send incident details to Alert Notification | ![]() |
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Send incident details to Netcool/OMNIbus | ![]() |
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Send incident details to Slack | ![]() |
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Send incident details to Webhook | ![]() |
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Send incident details to Microsoft teams | ![]() |
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Send incident details to Stride | ![]() |
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Send incident details to Service Now | ![]() |
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Send incident details to GitHub | ![]() |
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Send incident details to Watson Workspace | ![]() |
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View, investigate, and resolve incidents | ![]() |
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Use the Applications view to visualize application resource state, properties, and relationship and their changes. | ![]() |
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Use the Resources view to visualize the metrics that are related to Agents and Data Collectors. | ![]() |
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Use the Resources dashboard to visualize metrics gathered by the Cloud data collectors for: - Kubernetes (NGINX, Redis) | ![]() |
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Use the Resources dashboard to visualize metrics gathered by the Runtime data collectors: - Go data collector, J2SE data collector, Liberty data collector, Node.js data collector, Python data collector, Ruby data collector | ![]() |
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Use the Resources dashboard to visualize metrics gathered by the Unified Agent: - UA plug-in for Jaeger and Zipkin, UA plug-in for NGINX, UA plug-in for Redis, UA plug-in for IBM API Connect(APIC), UA plug-in for IBM App Connect Enterprise(ACE), UA plug-in for IBM MQ, UA plug-in for DEM, UA plug-in for OpenShift | ![]() |
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Go back in time to visualize the state of each Kubernetes resource layer at the time an event was fired | ![]() |
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Create synthetic tests and monitor response time and availability for your Rest API websites. | ![]() |
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Digital Experience Monitoring (DEM): Digital experience monitoring (DEM) can be enabled to monitor web-based resources and real user experience. It can discover and track traffic, user behavior, and other metrics to help analyze the application performance and usability. There are two ways to enable DEM. You can enable DEM for Liberty data collector, and install the DEM plug-in for HTTP Server to monitor IBM HTTP Server and Apache HTTP Server. | ![]() |
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Transaction Tracking: The transaction tracking feature enables topology views and instance level transaction monitoring. By distributed tracking infrastructure, transaction tracking can detect bottleneck issues, including latency problems and errors, and filter or sort traces based on application. Transaction tracking can also filter views based on length of trace, timestamp, interactions, errors, and transaction comparisons. For more information, see Transaction tracking. | ![]() |
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