--- 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 --- # Feature availability based on package # Feature availability based on package {#ariaid-title1} * Release version: Australia * * Updated April 6, 2026 * * ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read The table outlines the access permissions for Performance Analytics features across production and sub production instances. Each feature is evaluated against three license tiers --- Total, Advanced, and Guided --- with values indicating full access (Y), restricted access (lock), or feature unavailability (N/A). It also covers anomaly-based alert configurations and the adjusted range function for fine-tuning anomaly tolerance thresholds. {#io-feature-availability__section_rpt_dm4_v3c__entry__5} | Entry through Performance | Instance | Total | Advanced | Guided | |-|-|-|-|-| | Instance level metrics ||||| | | Production | Y | Y | Y | | | Sub production | Y | Y | Y | | Node level metrics ||||| | | Production | Y | Y | Y | | | Sub production | Y | Y | Y | | Anomaly ||||| | | Production | Y | lock | lock | | | Sub production | N/A | N/A | N/A | | Instance alert card (with anomaly) ||||| | | Production | Y | lock | lock | | | Sub production | N/A | N/A | N/A | | Node alert card ||||| | | Production | Y | lock | lock | | | Sub production | N/A | N/A | N/A | | User session instance alert card (without anomaly) ||||| | | Production | Y | Y | lock | | | Sub production | Y | Y | lock | | User session node alert card ||||| | | Production | Y | Y | lock | | | Sub production | Y | Y | lock | [ ] * Anomalies and their respected anomaly based alert are only valid for production instance. This is available for Total package customers. * Node level alerts are configured through performance page for transaction count, server response time, and user session logged in metrics. It is not included in config alert section. This is available currently for production instances and Total package customers in current release except user session logged in metrics. {#io-feature-availability__ul_d4w_lr4_v3c} ## Adjusted range (anomaly tolerance) {#io-feature-availability__section_btv_xr4_v3c} Allows you to adjust an anomaly tolerance by manipulating the percentage range of a normal distribution that involves modifying the standard deviation or variance of the data distribution. This function enables you to increase or decrease the deviation of the data by selecting the percentage from drop down of the Adjusted range. This would widen or narrow the range considered as normal. A larger standard deviation means a wider tolerance for anomalies, while a smaller one means a narrower tolerance. Altering the range of a normal distribution directly impacts what the system identifies (predefined algorithms) as anomalous. * This capability will act as an AND condition with the anomaly persistence condition under Anomaly based condition. * If you want the system identified anomalous points, keep the default range as it is. For metrics like Transaction count, Server response time, Database response time by default value is 0, whereas for Semaphore mean and Node memory it's 50%. * If the alert is saved with the adjusted range, the condition remains until you change it. * When you hover over the chart following the alert, the normal range and adjusted data range distribution (upper boundary and lower boundary) will be displayed for quick comparison. * If the lower boundary value exceeds the upper boundary, the range width will prevent the lower limit from surpassing the upper limit. **Related reference** * [Anomaly insights](https://servicenow-prod.fluidtopics.net/4_QeeoMptTF3e9qrg4XWwg "The reference topic gives additional information for anomaly charts.") * [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.") * [Node health performance metrics](https://servicenow-prod.fluidtopics.net/Ym_5QZb7HaUEXusPO0FNVA "The metrics provide the node health 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.")