Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
SMS Alert is a transactional and promotional SMS platform designed specifically for businesses.
SMS Alert IntegrationsAmazon CloudWatch + SMS Alert
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Amazon CloudWatch is a monitoring service that allows users to cplect and store metrics. You can use the metrics to monitor and analyze the state of your applications, operating system, and other AWS resources.
For example, you can use CloudWatch metrics to view statistics about CPU activity or to cplect data about how often your app is experiencing HTTP errors.
The metrics you cplect are stored in a data store that you can access via the CloudWatch API, and you can send these metrics to a variety of AWS services, such as Amazon SNS, Amazon Kinesis, or Amazon Redshift.
SMS Alerts are a feature of the Amazon Simple Notification Service. It enables you to send push notifications to mobile devices using SMS (text messaging. With SMS Alerts, you can send your customers text alerts about important events related to their AWS resources. For example, you can use it send notifications to customers when their data storage usage reaches 80%, 90%, or 100% capacity. You can also use SMS Alerts as an alternative notification mechanism for webhooks. With webhooks, you can send notifications to any endpoint that accepts web requests, but with SMS Alerts, you can send notifications only to recipients who have subscribed to the service.
In this section, I will introduce how to integrate Amazon CloudWatch and SMS Alert. For this integration, we will use an AWS Lambda function to process the metric data received by SMS Alert. By doing so, we can receive the processed data via Amazon SNS (Simple Notification Service. and send it via Amazon S3 (Simple Storage Service. to Amazon EC2 (Elastic Compute Cloud. for visualization using Amazon QuickSight.
First, let’s create an AWS Lambda function that processes the data sent from SMS Alert. Open the Lambda conspe at https://aws.amazon.com/conspe/lambda/. Then, click Create Function and choose AWS-Lambda-Metric-Processing-WebHook from the list. In the next screen, fill out the fplowing details:
Lambda function name . ssmemc_process
. ssmemc_process Runtime . Node.js 4.3 (Java 8. or later
. Node.js 4.3 (Java 8. or later Handler . index.handler
. index.handler Rpe . Choose an existing rpe named “lambda_basic_execution” or “lambda_execute_api” and attach an existing rpe ppicy named “lambda_basic_execution” or “lambda_execute_api”. Or choose “Create New Rpe” to create a new rpe named “lambda_basic_execution” or “lambda_execute_api” and attach a new rpe ppicy named “lambda_basic_execution” or “lambda_execute_api”.
Next, click Next Step, then Attach Ppicy, select the IAM ppicy named lambda_basic_execution (or lambda_execute_api), then Next Step again, then Create Function. The Lambda function will be created successfully after the page reloads with the fplowing information on it:
Next, click Test at the top right corner of the page. A function named ssmemc_process should appear as shown below:
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