AIOps

This article explains about how to do Training for the following in Watson AIOps.

• Log Anomaly detection
• Similar Incidents

The article is based on the the following

• RedHat OpenShift 4.8 on IBM Cloud (ROKS)
• Watson AIOps 3.2.0

1. Training - Log Anomaly Detection

1. Application

We use iLender application here.

Refer : 1. Deploying iLender Application to know how the app is deployed.

2. Generate Load

Generate load in the application for 20 minutes by referring 2. Generate Load for iLender App.

You need to have 10K lines of logs for each service in the application.

3. Enable Live logs for Training

While the load is ongoing in the application, do the following steps to enable the live log mode and to copy the logs into AIMgr for training.

1. Goto the page Data and tool connections and select Humio

2. Click on the humio connection humio-connect-ilender

3. Select the Data flow : On

4. Select the Mode : Live Data for Initial AI Training

5. Click on the Save

Now the live data would get copied to AIMgr.

4. Stop Live logs

After 25 minutes, live logs can be disabled.

1. Select the Data flow : Off

2. Click on the Save

5. Stop Load

The load script would have been stopped after 20 minutes.

6. Do Training

1. Goto the page AI Model Management

2. Click on Manage tab

3. Click on log-anomaly-detection link

4. Click on Start Training link

The training would start and go for 20 minutes to 1 hour based on the data size.

You will have Training Complete status once the training is done.

5. Click on Versions tab

You can see the version trained and deployed.

2. Training - Similar Incidents

1. Goto the page AI Model Management

2. Click on Configure link in Similar Incidents card

3. Click on Next

4. Enter the below field values

• Configuration Name
• Configuration Description

5. Click on Next

6. Click on Next

7. Click on Done

8. Similar incidents training definition is created

9. Click on Manage tab.

The Similar incidents training definition is displayed.