Architecture of Logging Analytics
Here's the high level architecture of Oracle Logging Analytics service:
Typical Workflow for Setting Up and Using Logging Analytics
| Order | Task | Useful Link |
|---|---|---|
| 1 | Identify the entities from which the logs must be collected. | NA |
| 2 | Determine the method to ingest the logs. This is
based on the following factors:
Note that there is a unique workflow for setting up database instance monitoring for the database instance records that are extracted based on the SQL queries that you provide in the log source configuration. |
|
| 3 | Set up your Oracle Cloud Infrastructure tenancy to use Oracle Logging Analytics by performing the prerequisite configuration tasks. | Enable Access to Logging Analytics and Its Resources |
| 4 | Create Oracle Logging Analytics resources such as log groups, entities,
sources and parsers depending on your end use and method of
ingestion.
This will determine the exact information that must be recovered from the log content for analysis, the pre-processing and enrichment that must be done on the log data before it is ready for consumption in the service. Note that Oracle already provides several Oracle-defined sources and parsers to support standard log types and formats. If these aren't suitable for your requirement, then you can edit the existing resources, or create new ones. |
Create resources:
Available resources: |
| 5 | Ingest the logs using the method that you selected
earlier.
If you used Management Agent to collect the log data, then view the warning messages generated during log collection. This helps you to diagnose problems with the sources or entities and to take corrective action. |
Ingest Logs |
| 6 | Select from the charts and controls available in the
visualization panel based on your parameters and gain insight into
your log data. You can choose from visualization options like log
scale, bar chart, line chart, summary table, word cloud, cluster,
and link.
Use the field values that you extracted from the original log content as the parameters to plot the data in the chart. |
Select the Visualization Type |
| 7 | Search the logs and drill down to specific log
entries to resolve problems quickly. You can use the Oracle Logging Analytics
console or write queries to perform the search.
To write queries, familiarize with the command reference by learning about the commands, their syntax, and viewing some of the examples of their use. |
Perform Advanced Search |
| 8 | Perform advanced analysis of the log data to root
cause issues, find potential issues, detect anomalies, and fix the
issues. Use our advanced analysis tools such as Cluster, Link, and
Link by Cluster for the purpose.
View some of the example use cases and issues resolved using the advanced analysis tools. |
|
| 9 | Save the searches that you performed using the Oracle Logging Analytics
console or by writing queries, as Saved Search.
A saved search can be used to repeat the search at a later point, to set up a scheduled task to run the search, to set up alerts on the search, and to create dashboards. |
Save and Share Log Searches |
| 10 | Create custom dashboards by adding Oracle-defined and user-defined widgets. Use the dashboard as your single-pane view of the collection of analysis on Oracle Logging Analytics. | Create Dashboards |