Oracle Analytics Cloud Observability

🔎 Oracle Analytics Cloud Observability

Monitor the availability, performance, user experience, usage, and operational health of Oracle Analytics Cloud (OAC) with GermainUX.

GermainUX combines Real User Monitoring, Session Replay, browser performance analysis, Oracle Analytics usage data, API monitoring, OCI metrics, synthetic transactions, and automated analytics to help teams identify issues affecting Oracle Analytics users, dashboards, analyses, workbooks, and queries.

👥 Real User Experience Monitoring

Monitor how users experience Oracle Analytics Cloud in their browsers.

Depending on the deployment method and authorized browser access, GermainUX can analyze:

Item

User sessions

Page navigation

User interactions

Clicks

Dashboard activity

Analysis activity

Page and interaction response time

Browser errors

Network requests

Failed requests

User workflows

This provides visibility into the experience of individual users as well as trends across the OAC user population.

🎞️ Session Replay

Use GermainUX Session Replay to investigate user activity and issues affecting Oracle Analytics workflows.

Analyze sessions involving:

Session Type

Slow dashboards

Slow analyses

Failed navigation

Errors

Dead clicks

Rage clicks

Error clicks

Repeated actions

Failed workflows

Browser issues

Session Replay can help support and engineering teams understand what occurred before an issue was reported.

🚤 Dashboard and Analysis Performance

Monitor the experience of users accessing Oracle Analytics content.

Analyze:

Metric

Dashboard response time

Analysis response time

Workbook activity

Navigation performance

User interaction time

Network-request duration

Failed requests

Browser processing

Use this information to identify which content, users, workflows, or environments are most affected by performance degradation.

📈 Query Performance Analysis

When Oracle Analytics Usage Tracking is enabled and made available to GermainUX, analyze query-level activity.

Depending on the available Usage Tracking data, this can include:

Data

Logical queries

Physical queries

Query response time

Query frequency

Rows processed

User

Session

Dashboard or analysis context

Query timing

Use this information to identify:

Goal

Slow queries

Frequently executed queries

Query-performance bottlenecks

Expensive analyses

Changes in query behavior

Users or workloads associated with performance degradation

📊 Usage and Adoption Analysis

Analyze how Oracle Analytics Cloud is used.

Depending on the monitoring sources enabled, analyze:

Metric

Active users

User sessions

Frequently accessed content

Dashboard usage

Analysis usage

Query frequency

User engagement

Usage trends

This helps teams understand both technical performance and adoption.

⚙️ Oracle Analytics Cloud Metrics

Oracle Analytics Cloud exposes operational metrics through Oracle Cloud Infrastructure Monitoring.

When authorized access is available, GermainUX can collect and analyze applicable OAC metrics.

Examples can include:

Metric

Query Capacity Usage

Data Source Connection Errors

Other metrics exposed by the configured OAC and OCI environment

Use these metrics to identify capacity, workload, and connectivity conditions affecting Oracle Analytics.

🔗 Data Source Connection Monitoring

Oracle Analytics Cloud depends on databases and other data sources.

GermainUX can help identify:

Issue

Data source connection failures

Slow connections

API failures

Database performance degradation

Network issues

Downstream dependency failures

When GermainUX also monitors the underlying customer-controlled data source, OAC performance can be correlated with database and infrastructure telemetry.

☁️ Oracle Analytics REST API Monitoring

GermainUX Engine can monitor authorized Oracle Analytics Cloud REST APIs.

Depending on the required use case and permissions, monitor:

API Aspect

API availability

Response time

HTTP status

Authentication

Failures

Expected responses

Oracle Analytics Cloud provides REST APIs for system information and operations involving content such as datasets, data flows, workbooks, snapshots, and other supported resources.

📦 Data Flow and Dataset Monitoring

When authorized OAC REST APIs or other approved monitoring sources expose the required information, GermainUX can monitor operational activity associated with:

Activity

Data flows

Dataset reloads

Run history

Latest execution

Execution status

Failures

This can help identify background processing conditions affecting analytics availability or freshness.

warning Browser Error Monitoring

Detect browser-side issues affecting Oracle Analytics users, including:

Error Type

JavaScript errors

Browser console errors

HTTP failures

Failed network requests

Resource-loading failures

Browser freezes

Correlate errors with the affected user, session, page, interaction, and analytics workflow.

🤖 Synthetic Monitoring

Use GermainUX RPA Bot Recorder to proactively test important Oracle Analytics Cloud workflows.

Examples include:

Test

Login → Open Dashboard → Verify Dashboard

Open Dashboard → Select Filters → Run Analysis → Verify Results

Open Workbook → Execute Workflow → Verify Expected Content

Synthetic monitoring can identify availability, performance, or functional problems before users report them.

Use authorized test accounts and safe test workflows.

🗄️ Data Source Monitoring

When GermainUX has authorized access to customer-controlled data sources used by Oracle Analytics Cloud, monitor them separately.

Examples include:

Source

Oracle Database

SQL Server

MySQL

Other supported databases

APIs

Network

Cloud infrastructure

This provides additional context for Root Cause Analysis.

🔍 Root Cause Analysis

Correlate Oracle Analytics user experience with available technical telemetry.

For example:

Symptom

Possible Cause

Slow Dashboard

Slow Dashboard → Slow Query → Database Performance Degradation

Dashboard Failure

Dashboard Failure → Data Source Connection Error

Slow User Interaction

Slow User Interaction → High Query Capacity Usage

Dataset Not Updated

Dataset Not Updated → Dataset Reload Failure

This helps teams move from identifying an affected user or dashboard to understanding the likely technical cause.

🤖 Automated Analytics

GermainUX can help identify conditions such as:

Condition

Slow dashboards

Slow user interactions

Query performance degradation

Increased browser errors

Failed network requests

Data source connection errors

High query capacity utilization

API failures

Dataset or data-flow failures

Usage anomalies

Performance regressions

🔔 Alerts and Automation

When GermainUX detects a condition requiring attention, it can:

Action

Send an alert

Notify users through a Watch

Generate a report

Trigger approved diagnostics

Execute approved automation

🛑 Monitoring Boundary

Oracle Analytics Cloud is a managed Oracle Cloud service.

GermainUX does not directly monitor Oracle-managed OAC servers, operating systems, internal databases, or private service components unless Oracle exposes the required information through an authorized monitoring interface.

Instead, GermainUX can combine:

Source

Browser telemetry

Oracle Analytics Usage Tracking

Oracle Analytics REST APIs

OCI Monitoring metrics

Customer-controlled data sources

Synthetic transactions

ℹ️ Get More Information

GermainUX can help determine which monitoring, analytics and automation capabilities are appropriate for your OAC applications and supporting environment.

Contact GermainUX Support.

Feature Availability: 2017.1 or later