--- sourceDocument: Australia Impact sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/impact Release : - australia ft:locale : - en-US ft:publication_title : - Australia Impact ft:clusterId : - ipact bundleId : - ipact --- # Node health performance metrics # Node health performance metrics {#ariaid-title1} * Release version: Australia * * Updated May 23, 2026 * * ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read The metrics provide the node health performance snapshot within the ServiceNow AI Platform®. ## Node CPU Time {#io-node-health-perf-metrics__section_zsz_zgs_3jc} Node CPU Time is the absolute value in milliseconds of CPU utilization per node at a given data point in history. This metric will include activities occurring on a node that are outside the customer's control. ## Node Memory Mean {#io-node-health-perf-metrics__section_atz_zgs_3jc} Node Memory Mean is the in use memory mean (Megabytes) per node at a given data point in history. This value normally ranges between 1000 MB and 2000 MB. ## Node Memory Max {#io-node-health-perf-metrics__section_btz_zgs_3jc} Node Memory Max is the in use memory max (Megabytes) per node at a given data point in history. This value normally ranges between 1000MB to 2048MB. In the legend of the chart, the max of total available memory for the nodes of that particular instance has been provided to compare the maximum used memory vs. available memory for any node. Note: In case for any node, maximum memory used reaches 95% of the total available memory at least 5 times in a past 15 minute time-period, that indicates that node memory is almost full. ## Node Garbage Collection Time {#io-node-health-perf-metrics__section_ctz_zgs_3jc} Garbage Collection Mean Time is the percentage of time spent doing Java garbage collection. It is the average of three samples; one sample being collected every 20 seconds. The values are collected for specific nodes and do not distinguish between the type of garbage collection. For example, young vs. old. **Related reference** * [Anomaly insights](https://servicenow-prod.fluidtopics.net/4_QeeoMptTF3e9qrg4XWwg "The reference topic gives additional information for anomaly charts.") * [Feature availability based on package](https://servicenow-prod.fluidtopics.net/P9qjLGc3vCF_cOO3tzGPpA "The table outlines the access permissions for Performance Analytics features across production and sub production instances.") * [Auriga Intelligent Alert report](https://servicenow-prod.fluidtopics.net/nQSJ7KPMZhRA30JC0WUapA "Auriga Intelligent Alert is an advanced multivariate machine learning (ML) model that learns from historical issues on your instance to provide real-time insight. Auriga monitors your performance metrics to deliver notifications of noteworthy events or deviations from anticipated data patterns.") * [Transaction or response metrics](https://servicenow-prod.fluidtopics.net/zO1ipLkzD4Ui4sKzEQk4bg "The metrics provide a performance snapshot of classic UI transactions within the ServiceNow AI Platform.") * [Database performance metrics](https://servicenow-prod.fluidtopics.net/BR2AN_h8wOEd8ZtqZdLf4A "The metrics provide the database performance snapshot within the ServiceNow AI Platform.") * [Semaphores performance metrics](https://servicenow-prod.fluidtopics.net/Kk9mReT78mDBECtqFl7MWQ "The metrics provide the key performance indicators calculated at the instance level for the selected duration.") * [Event queues performance metrics](https://servicenow-prod.fluidtopics.net/gJEASVHBrJdFQHIBS8345w "The metrics provide the event performance snapshot within the ServiceNow AI Platform.") * [ECC Queue performance metrics](https://servicenow-prod.fluidtopics.net/RGxMtNOGgtVY6Q5itGNFaQ "The metrics provide the ECC Queue performance snapshot within the ServiceNow AI Platform.") * [Email performance metrics](https://servicenow-prod.fluidtopics.net/bogAIEvZQM6EVgHuNANWkw "The metrics provide the Email performance snapshot within the ServiceNow AI Platform.") * [Scheduler performance metrics](https://servicenow-prod.fluidtopics.net/mUgSGAMhziXWPxkMp4ZZJQ "The metrics provide the Schedulers performance snapshot within the ServiceNow AI Platform.") * [Job details performance metrics](https://servicenow-prod.fluidtopics.net/zU5pCERdUDwYINhrEtEmVw "The metrics provide the job details performance snapshot within the ServiceNow AI Platform.") * [Host health performance metrics](https://servicenow-prod.fluidtopics.net/BPg~fi7mWtO2QDvoJtmlbw "The metrics provide the host health performance snapshot within the ServiceNow AI Platform.") * [Standby replication Lag](https://servicenow-prod.fluidtopics.net/~bnGXSPhIInh_QygPmu8lA "A read replica is a copy of the primary DB that reflects changes to the primary in almost real time, in normal circumstances. The lag represents the database server of the instance that is behind in seconds.") * [Pool Replication Lag](https://servicenow-prod.fluidtopics.net/GZt7jzZ4mbs0axGHLTG75w "Pool replication lag is the number of seconds that a Standby database or a read replica database lags behind the primary database.") * [Chat details performance metrics](https://servicenow-prod.fluidtopics.net/3ITlZgnjjx7hFU0jPdggHA "For the operations team to get the insights of current load across main components of AWA channel infrastructure like queues and agents, and to monitor load during events of chat spikes.") * [Cluster details performance metrics](https://servicenow-prod.fluidtopics.net/gCpPJvTx4G~JcYX9~VAIVA "The metrics provide the cluster details and Encryption status snapshot within the ServiceNow AI Platform.") * [Load balancer performance metrics](https://servicenow-prod.fluidtopics.net/U6~7lb0jujHirGTJlHHmZA "The metrics provide the load balancer performance snapshot within the ServiceNow AI Platform.") * [User information metrics](https://servicenow-prod.fluidtopics.net/tzinVKez9tWy7F1KJoK7mg "The metrics provide the user information performance snapshot within the ServiceNow AI Platform.") * [Instance Data Replication](https://servicenow-prod.fluidtopics.net/ScxZA~8x58vIrm57FTmurg "The Instance Data Replication (IDR) copies data updates from one instance, called the producer instance, to one or more other instances called the consumer instances.")