Distributed Tracing for AWS Lambda Functions

Setup (Instructor)

The instructor is going to setup a user and then provide each user with an access key id and secret access key that they can use to run terraform and build the artifacts they need

Prerequisites #

Your students will all need a Splunk4Ninjas - Observability instance. When deploying the instances, ensure you set a ‘DNS Prefix’ such as the customer name, this ensures all resources can be easily found in the AWS Console, attendees will use the Instance Name during the workshop.

As preparation before the class, the instructor machine will need:

• AWS CLI
• Terraform

When going to the AWS access portal, you can click on the access keys to copy these to the terminal before you do the next step.

Create an IAM Role (Workshop Instructor Only) #

# Copy access keys into terminal first before running these steps
cd ~/workshop/lambda/iam_role
terraform init
terraform plan
terraform apply
# enter yes

# Then display the secret
terraform output -raw workshop_secret_access_key

Provide these to the class #

• workshop_access_key_id: This was shown after the terraform apply
• workshop_secret_access_key: This is the key you output raw after the fact, with terraform output.

Be aware of any extra characters at the end of the double-quotes and any other extra characters.

Cleanup #

cd ~/workshop/lambda/iam_role
terraform destroy

You will also need to cleanup any artifacts the students didn’t destroy during the workshop. Check:

1. AWS API Gateway
2. Lambda Functions
3. Kinesis Stream
4. CloudWatch Log Groups
5. S3 Bucket