Q1 Steps to export all the logs related to firewall rules to BigQuery for further analysis. Use console.

Setting up firewall for logging

• Enable Logging for the firewall rules you want to get logs from.
• Go to the Firewall rules page in the Google Cloud Console.
• Select the firewall rule that you want to update.
• Click Edit.
• For the Logs setting, select On.
• Click Save.

Creating Sinks

• Go to the StackDriver Logs Viewer page in console.
• Click on Create Sink, and fill in the Edit Export panel as follows.
• Set a filter to show all logs related to firewall rules.

          resource.type="gce_subnetwork" AND
          log_name="projects/pe-training/logs/compute.googleapis.com%2Ffirewall"

• Set the Sink name.
• Select Sink Service as Bigquery.
• In Sink Destination, create a new dataset and give it a suitable name.
• Click Create Sink
• Go to Logs Router page to check that the log exporter is created.

Q2 Configure Apache2 HTTP server on a GCE VM instance and setup an email alert notification which triggers when the health check of the instance fails. Use console.

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• Installing Stackdriver on the VM Instance

curl -sSO https://dl.google.com/cloudagents/install-monitoring-agent.sh
sudo bash install-monitoring-agent.sh

• Installing Logging Agent on the VM Instance

curl -sSO https://dl.google.com/cloudagents/install-logging-agent.sh
sudo bash install-logging-agent.sh --structured

Create an alert policy using the following rules

• Use CPU Utilization as one metric
• Use CPU Usage as another metric
• Alert notification must be set to your email address.
• To increase cpu usage to 100% use this code

dd if=/dev/zero of=/dev/null

• On doing so an alert notification will be sent to your email address
• Setup an Uptime Health check and attach it as the Uptime Metric
• Stop the instance to recieve an Uptime Health Check alert

Q3 Create a Cloud Function to convert the pub/sub message to json file and store it in GCS bucket\

• First Create a pub/sub

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• Then Click on the Trigger Cloud Function

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• Use the main.py and requirements.txt to create the cloud function using Python Inline Editor

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• main.py Link

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• requirements.txt Link

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• Create any random subscriber and publish a message in the json format as shown below

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{
"name":"test-file",
"content":'{"source": "pub/sub", "destination": "gcs"}'
}

• The Cloud function will be triggered and a json file will be created in the Destination mentioned in the message.

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