Table of Contents
- Title and Copyright Information
- Preface
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Part I Get Started with Oracle Log Analytics
- About Oracle Log Analytics
- About Oracle Log Analytics Roles and Users
- Before You Begin with Oracle Log Analytics
- 1 Configure Oracle Log Analytics
- 2 Upload Logs to Oracle Log Analytics on Demand
- 3 Ingest Logs from OCI Object Storage Buckets
- 4 Use Fluentd for Log Collection
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Part II Administer Oracle Log Analytics
- 5 Create a Parser
- 6 Configure New Log Sources
- 7 Administer: Other Actions
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Part III Use Oracle Log Analytics
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8
Visualize Data Using Charts and Controls
- Select the Visualization Type
- Log Scales Visualization
- View the Field Summary
- View an Entity Card
- Bar Charts Visualization
- Clusters Visualization
- Line Charts Visualization
- Maps Visualization
- Summary Tables
- Word Cloud Visualization
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Link Visualization
- Use Dictionary Lookup in Link
- Semantic Clustering Using Natural Language Processing
- Generate Link Alerts
- Use the Getting Started Panel
- Analyze Chart Options
- Histogram Chart Options
- Groups Table
- Features for Bubble Charts in Link Analysis
- Features for Fields in Link Analysis
- Features for Groups in Link Analysis
- Link by Cluster
- 9 Filter and Search Through the Log Data
- 10 Save and Share Log Searches
- 11 Create An Alert Rule
- 12 Transform Logs into Operational Insight
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8
Visualize Data Using Charts and Controls
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Part IV Typical Use Cases
- Example Scenario: Perform Dynamic Log Analysis
- Example Scenario: Detect Anomalies Using Outliers
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Perform Advanced Analytics with Link
- Visualize Time Series Data Using the Link Trend Feature
- Use timestats Command for Time Series Analysis
- Cluster Similar Time Series
- Analyze the Access Logs of Oracle WebLogic Server
- Generate Charts with Virtual Fields
- Link by Using SQL Statement as the Field of Analysis
- Analyze the Time Taken Between Steps in a Transaction
- Generate Charts for Multiple Fields and their Values
- Second Level Aggregation Using Eventstats Command in Link
- Use Link Navigation Functions to Identify Events in a Database
- Use the Currency Symbols in Your Log Analysis
- Parse Log Records with Multiple Timestamps
- Perform Advanced Analytics with Cluster Compare
- Machine Learning Based Query Enrichment
- Examples of Semantic Clustering Using Natural Language Processing
- A Out-of-the-Box Log Sources
- B Understand the Search Commands
- C Entity Types Modeled in Oracle Log Analytics
- D SQL Query Guidelines
- E List of Non-Facetable Fields
- F Commonly Used Oracle Log Analytics Entities
- G Additional Entities in Oracle Log Analytics
- H Download and Customize Oracle Log Analytics JSONs
- I Write Performant Extended Field Extraction Expression
- J Write Performant Regular Expressions
- K Manually Specify Time Zone and Character Encoding for Files
- L Add Entity by Creating a JSON File