Technologies KPIs, Pivots & Measures

ServiceAnalytics

Availability2021.3 or later

Availability and Uptime KPIs

Detect outages and failed components

Performance KPIs

Speed, throughput and capacity

Fact Models

Data models per KPI

Combining KPIs, Measures and Pivots

Trace impact to sessions

GermainUX provides preconfigured KPIs, pivots and measures for monitoring the availability, performance and health of hardware, software and cloud services. These analytics support desktop, server, mobile, containerized and distributed environments—whether deployed in the cloud or on premises. They help teams detect outages, degradation, capacity constraints, errors and abnormal behavior before they create a larger impact on users or business operations. Preconfigured analytics can be used as provided or customized for your technologies, architecture and service-level objectives.

What Technology Analytics Help You Understand

GermainUX technology KPIs can answer questions such as:

Is a server, service, database, application or container available?
Which components are failing or restarting?
Where are requests being rejected, queued or delayed?
Which resources are approaching capacity?
Which applications or dependencies generate the most errors?
Is performance degradation isolated to a host, environment, version or location?
Which technical condition caused a poor user experience or interrupted workflow?
Is an issue new, recurring or becoming more severe over time?

Availability and Uptime KPIs

Availability KPIs identify outages, failed components, crashes and conditions that prevent a technology from operating as expected.

General Availability

KPI	Purpose
Server Availability	Monitors whether a server is available.
Service Availability	Monitors the availability of operating-system services.
Process Uptime	Measures how long a monitored process remains operational.
HTTP Availability	Verifies whether an HTTP endpoint is reachable and responding.
Database Availability	Monitors the availability of configured databases.
Docker Container Availability	Identifies available, unavailable or stopped containers.
Apache ZooKeeper Node Availability	Monitors the availability of ZooKeeper nodes.

Application Failures and Crashes

KPI	Purpose
ASP.NET Application Failed Requests	Counts requests that failed within an ASP.NET application.
ASP.NET Application Rejected Requests	Counts requests rejected because the application queue was full.
ASP.NET Rejected Requests	Counts requests that could not be processed because server resources were insufficient.
IIS Failed Request	Captures failed-request events reported by IIS.
Mobile App Crash	Captures mobile-application crashes.
Mobile App Uptime	Measures mobile-application uptime.
Node.js Unhandled Promise Rejections	Counts rejected promises for which no handler was present.
Unhandled Promise Rejection	Captures unhandled promise-rejection events in monitored web applications.

.NET and Java Availability Indicators

KPI	Purpose
.NET Exception	Captures exceptions reported by .NET monitoring.
.NET Exception Rate	Measures the number of .NET exceptions generated per second.
.NET Requests Failed Rate	Measures the rate of failed HTTP requests within a monitored application domain.
.NET Classloader Failures	Tracks classes that failed to load after the application started.
Java Heap Available	Measures the percentage of JVM heap still available.
Java Non-Heap Available	Measures available JVM non-heap memory.

Salesforce and Siebel Availability

KPI	Purpose
Salesforce Code Exception	Captures Salesforce exceptions found in debug logs.
Salesforce Apex Unexpected Exception	Captures unexpected Apex exceptions collected through Salesforce Event Monitoring.
Siebel Component Availability	Monitors the availability of individual Siebel components.
Siebel Gateway Availability	Monitors Siebel Gateway availability.
Siebel Server Availability	Monitors the overall state of a Siebel Server.
Siebel HTTP Availability	Verifies the availability of a Siebel HTTP endpoint.
Siebel Component, Core, Enterprise and FDR Crashes	Captures crashes from the corresponding Siebel components and logs.
Siebel Failed Task Count	Counts failed Siebel tasks.

Messaging and Connection Availability

KPI	Purpose
AWS SES Rejected Mails	Counts email messages rejected by Amazon SES.
WebLogic JDBC Connections Available	Measures database connections available to applications from a WebLogic data source.
WebLogic JDBC Connections Unavailable	Measures connections currently unavailable because they are in use or being tested.
WebLogic JDBC Connection Wait Failures	Counts requests that waited longer than the configured connection-reserve timeout.

Performance KPIs

Performance KPIs measure speed, throughput, utilization, capacity, contention and operational health.

Host and Operating-System Performance

KPI family	Representative KPIs
CPU	CPU Usage, CPU Queue Length, Context Switch Rate
Disk	Disk Usage, Disk I/O, Disk Queue Length
Files and directories	Directory Size, Directory File Size, Directory File Count
Capacity	Resource utilization, queue depth and saturation indicators

These KPIs help determine whether infrastructure constraints are contributing to slow applications, failed requests or interrupted workflows.

ASP.NET and IIS Performance

Representative ASP.NET KPIs include:

Application cache-hit ratio
Executing, current and queued requests
Request execution time and wait time
Current connections
Disconnected, failed and rejected requests
Application and worker-process restarts
Running worker processes

Together, these KPIs reveal whether poor application performance is caused by request volume, queue saturation, insufficient resources, restarts or communication failures.

Database Performance

GermainUX includes database KPIs across several analytical areas:

Area	Representative KPIs
Sessions and connections	Active Sessions, Connections, Session Utilization, Long-Running Sessions, Top Session
CPU and elapsed time	Database CPU Time, Database DB Time, Query CPU Time, Query CPU Usage
Queries and transactions	Slow Query, Transaction Rate, Insert Rate, Update Rate, Delete Rate, Fetch Rate
I/O	Read, Write, Read Time, Write Time, Query I/O Usage
Locks and contention	Deadlocks, Lock Requests, Lock Timeouts, Lock Wait, Locks Held, Processes Blocked
Storage and capacity	Data File Size, Log File Size, Schema Size, Table Size, Tablespace Utilization, Free Temporary Space
Cache and access paths	Buffer Hit Ratio, Index Scans, Sequential Scans, Table Scans, Active Cursors
Wait analysis	Application, commit, concurrency, network, system I/O, user I/O and other wait time
Data maintenance	Dead Rows, Hot Updates, Broken Materialized-View Jobs, Rollbacks

These measurements help teams identify whether a database problem is caused by a costly query, blocked session, lock, capacity constraint, inefficient access path or storage bottleneck.

Containers and Images

KPI family	Representative KPIs
Container resources	CPU Utilization, Memory Utilization, Disk Input and Output, Network Input and Output
Container lifecycle	Container Event, Image Event, Network Event, Volume Event
Image security	Critical, High and Medium Vulnerability Counts

Apache, ActiveMQ and ZooKeeper

Technology	Representative KPIs
Apache HTTP Server	Busy Workers, Idle Workers, Process Count, Request Rate, Request Size, Throughput, Shared Memory
ActiveMQ	Heap Usage, Message Backlog
Apache ZooKeeper	Live Connections, Dropped Connections, Latency, Outstanding Requests, Thread Count, Deadlocked Threads, Heap Usage, File-Descriptor Usage, Data Size, Packets and Bytes Sent or Received

Elasticsearch

Representative Elasticsearch KPIs include:

Cluster health
Active shards
Cluster node count
Read and write operations
Tasks
Rollup jobs

Cloud and Messaging Services

Technology	Representative KPIs
Amazon SES	Sent, bounced, complained-about and rejected email counts
Amazon EC2	Critical, high and medium vulnerability counts

Oracle E-Business Suite and BI Publisher

Representative KPIs include:

Active, pending and running concurrent requests
Concurrent processes, programs and queues
Requests completed with warnings
Terminated processes
Invalid database objects
BI Publisher diagnostic and server events

Browser and Digital Experience Signals

Technology analysis can also incorporate browser-side evidence:

KPI	Purpose
Browser Event	Captures a custom browser event.
Browser Metric	Captures a custom numerical browser measurement.
Browser Transaction	Measures a custom browser transaction.
Browser Report	Captures CSP violations, policy violations, deprecated features, crashes and related reports.
Browser Visibility	Tracks whether a page is visible, hidden, active or inactive.

These signals help connect server and infrastructure conditions with what users actually experienced.

GermainUX Platform Health

GermainUX can monitor its own components using KPIs such as:

Agent status
Component status
Engine and Engine Manager status
Engine and Engine Manager CPU utilization
Engine and Engine Manager memory utilization
Aggregation duration

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Fact-processing rate
GermainUX service events and action logs
Datamart data and index tablespace utilization

Fact Models

Each KPI is backed by a fact model appropriate for the type of data collected.

Fact model	Typical use
GenericMetric	Numerical values sampled over time, such as CPU usage, queue length or connection count.
GenericEvent	Discrete occurrences, such as a failure, crash or diagnostic event.
GenericTransaction	Activities with a start, end and duration, such as a long-running database session.
UxMetric	Numerical measurements captured from the user-experience layer.
UxEvent	Browser or user-experience events.
UxTransaction	Timed browser or user-experience transactions.
MobileEvent	Discrete events captured from a mobile application.
MobileTransaction	Timed mobile-application activity.
NativeEvent	Events captured from native applications, including .NET exceptions.
InternalEvent	Operational events generated by GermainUX components.
AlertEvent	Alerts generated by GermainUX.
AuditLog	Configuration and administrative audit events.

Pivots

A pivot segments a KPI result by a selected technology dimension. Available pivots vary by KPI and data source. Common technology pivots include:

Pivot
Application, application component and service
Technology type and component type
Environment, system, host and target
Cluster, node, container and process
Database, schema, table, query or session

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Error, event, status and severity
Browser, device and operating system
Data center, region, country and cloud zone
User, session and business transaction
Version, release and deployment

Pivots help determine whether an issue is widespread or concentrated in a particular component, host, environment or user population.

Measures

A measure is the calculation applied to a KPI. Depending on the underlying fact model, GermainUX can provide:

Measure
Count and distinct count
Minimum and maximum
Average and total
Current or latest value
Rate and throughput

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Availability or uptime percentage
Error and failure percentage
Resource utilization percentage
50th, 90th, 95th, 99th and 99.9th percentiles
Standard deviation

Percentiles are particularly important for response-time and latency analysis because an average can hide severe degradation affecting a smaller population.

Combining KPIs, Measures and Pivots

Operational question	KPI	Measure	Pivot
Which servers experience the highest CPU pressure?	CPU Usage	95th percentile	Hostname
Which databases generate the most lock contention?	Database Lock Wait	Total wait time	Database name
Which containers consume the most memory?	Docker Container Memory Utilization	Maximum	Container name
Which application versions generate the most exceptions?	.NET Exception	Count	Application version
Which environments have the slowest HTTP endpoints?	HTTP transaction or availability KPI	95th-percentile duration	Environment
Which browser families encounter the most policy violations?	Browser Report	Count	Browser family

From an aggregate KPI result, teams can drill into affected technologies, related events, traces and user sessions to identify root cause and business impact.

Correlate Technology with User and Business Impact

GermainUX can correlate technology KPIs with:

Real-user sessions and Session Replay
Application transactions and distributed traces
Errors and exceptions
Business processes and workflow steps
Conversion and drop-off events
Alerts and automated actions

This helps teams move from “the application is slow” to understanding which users and workflows were affected, which component caused the degradation and what corrective action should be prioritized.

Customize the Analytics

GermainUX can support custom:

KPIs and fact models
Measures and formulas
Pivots and business dimensions
Availability and performance thresholds
Static and statistical SLAs
Correlation and tracing logic
Dashboards, reports and alerts
Automated diagnostic or remediation actions

The exact KPI, pivot and measure set depends on the monitored technology, enabled components and implementation requirements.

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The content of this document is proprietary to GERMAIN SOFTWARE.

Availability and Uptime KPIs

Performance KPIs

Fact Models

Combining KPIs, Measures and Pivots

​What Technology Analytics Help You Understand

​Availability and Uptime KPIs

​General Availability

​Application Failures and Crashes

​.NET and Java Availability Indicators

​Salesforce and Siebel Availability

​Messaging and Connection Availability

​Performance KPIs

​Host and Operating-System Performance

​ASP.NET and IIS Performance

​Database Performance

​Containers and Images

​Apache, ActiveMQ and ZooKeeper

​Elasticsearch

​Cloud and Messaging Services

​Oracle E-Business Suite and BI Publisher

​Browser and Digital Experience Signals

​GermainUX Platform Health

​Fact Models

​Pivots

​Measures

​Combining KPIs, Measures and Pivots

​Correlate Technology with User and Business Impact

​Customize the Analytics

​Get Help

Contact GermainUX Support

Can't find what you need?

What Technology Analytics Help You Understand

Availability and Uptime KPIs

General Availability

Application Failures and Crashes

.NET and Java Availability Indicators

Salesforce and Siebel Availability

Messaging and Connection Availability

Performance KPIs

Host and Operating-System Performance

ASP.NET and IIS Performance

Database Performance

Containers and Images

Apache, ActiveMQ and ZooKeeper

Elasticsearch

Cloud and Messaging Services

Oracle E-Business Suite and BI Publisher

Browser and Digital Experience Signals

GermainUX Platform Health

Fact Models

Pivots

Measures

Combining KPIs, Measures and Pivots

Correlate Technology with User and Business Impact

Customize the Analytics

Get Help