Oracle Cloud Infrastructure Documentation

About Log Analytics

Oracle Log Analytics is a cloud solution in Oracle Cloud Infrastructure that lets you index, enrich, aggregate, explore, search, analyze, correlate, visualize and monitor all log data from your applications and system infrastructure on cloud or on-premises.

Topics:

Oracle Log Analytics provides multiple ways of gaining operational insights from your logs. You can:

  • Use the log explorer UI
  • Aggregate log information into dashboards
  • Utilize the APIs to ingest and analyze data
  • Integrate with other Oracle Cloud Infrastructure services

The interactive visualizations provide several possibilities to slice and dice the data. Use the Cluster feature to reduce millions of log entries down to a small set of interesting log signatures, making it easy for you to review. The Link feature enables you to analyze logs in a transaction or identify anomalous patterns using the grouped view.


Logging Analytics overview block diagram

Technical Resources at Your Finger Tips

Tutorials, Labs, and Livelabs

Tutorials LiveLabs

Tutorial icon Quick Start with Audit Logs

Tutorial icon Quick Start with continuous log collection using Management Agents

Tutorial icon Quick Start ingesting logs using Fluentd

Tutorial icon Quick Start collecting logs from Oracle Autonomous Databases

Tutorial icon Create Your Own Application Interface to Customize Your Log Analysis New

Lab Strengthening your Security Posture Using Log Data New

Lab Kubernetes Monitoring and Troubleshooting New

Lab MySQL Databases: monitoring & troubleshooting using machine learning New

Lab Extend EBS with Log Analytics

Lab Monitor and Troubleshoot E-Business Suite Performance

Reference Architecture, GitHub, and Marketplace Apps

Reference Architecture GitHub Marketplace Apps

Reference architecture Monitor Kubernetes and OKE clusters with OCI Log Analytics

Reference architecture Integrate manage and secure E-Business Suite applications using Log Analytics

Reference architecture Secure and monitor Oracle Identity Cloud Service

GitHub Monitoring Solution for Kubernetes

GitHub One Click Deploy for Log Analytics

GitHub OCI Log Analytics Fluentd Output Plugin

Apps Log Analytics - Quick Start

Apps Autonomous Transaction Processing (ATP) Database Audit Logs Monitoring

Apps Secure and Monitor your IDCS with Log Analytics

Apps Kubernetes Monitoring and Management

Apps E-Business Suite Monitoring on OCI

Apps Default Alarms for Management Agents New

Developer Resources

API CLI IAM Policies Other

Log Analytics

Management Dashboard

Log Analytics

Management Dashboard

Log Analytics

Management Dashboard

Software Development Kits

DevOps Tools and Plug-ins

Advanced Analytics Use Cases

Link Cluster Others

Time series data (EBS Concurrent Request Logs)

Detailed analysis of access logs (FMW WLS Server Access Logs)

Virtual fields (SAR CPU Logs)

SQL Statement as the Field of Analysis (Database Audit Logs, Database Audit XML Logs, Oracle Unified DB Audit Log Source Stored in Database 12.1)

Navigation functions (Database Alert Logs)

Time taken between steps in a transaction (Access Logs)

Charts for multiple fields

Second level aggregation (Access Logs)

Using currency symbols (Gasoline prices)

Examples of Tile Layout in Link (Mostly Kubernetes)

Cluster using SQL fields (Exadata SQL Cluster)

Use Dictionary Lookup in Cluster (Linux Syslog Logs)

Cluster Compare

Semantic Clustering

Parse Log Records with Multiple Timestamps

Leverage Log Partitioning

Create Dashboard filters