Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS, which can be accessed from AWS console. We have now integrated CloudWatch monitoring data into Zabbix monitoring system.
AmazonCloudWatch Developer Guide - http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/supported_services.html
AWS SDK in Python Boto - https://github.com/boto/boto
Install boto on zabbix server via pip.
- pip install boto
Create cloudwatch directory in "/opt/zabbix/cloudwatch" and do a git pull from this repository.
Add AWS account credential to the configuration file "conf/awscred".
Find the metrics from AmazonCloudWatch Developer Guide and add metrics to the configuration file "conf/aws_services_metrics.conf".
Create a zabbix template for an AWS service, then create items with metrics key by using zabbix trapper type.
Sample templates can be found in "templates" folder.
AWS Metric Zabbix Trapper Item Key Format without Discovery.
AWS Metric Zabbix Trapper Item Key Format with Discovery.
DynamoDB Item Key Format is different from the standard setup, due to combinations of different dimensions and metrics.
operations_all = ['GetItem', 'PutItem', 'Query', 'Scan', 'UpdateItem', 'DeleteItem', 'BatchGetItem', 'BatchWriteItem']
operations_metrics = ['SuccessfulRequestLatency', 'SystemErrors', 'ThrottledRequests]
DynamoDB Item Key1: DynamoDB.<operations_all>.<operations_metrics>.<statistics>["<aws_account>","<aws_region>","<table_name>"]
operations_returned_item = ['Query', 'Scan']
DynamoDB Item Key2: DynamoDB.<operations_returned_item>.ReturnedItemCount.<statistics>["<aws_account>","<aws_region>","<table_name>"]
DynamoDB Other Keys: DynamoDB.<metric>.<statistics>["<aws_account>","<aws_region>","<table_name>"]
Create a new host and linked with the template.
Create a cloudwatch bash wrapper script for cron job.
Sample cron jobs can be found in "cron.d" folder.
Create a new cron job to send the cloudwatch metrics to the host.
Sample crontab can be found in "cron.d" folder.