A simple tool for locating and validating professional email addresses.
Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.Amazon CloudWatch Integrations
hunter + Amazon CloudWatchEnable Alarm in Amazon CloudWatch when New Lead is created in hunter Read More...
hunter + Amazon CloudWatchEnable Alarm in Amazon CloudWatch when New Campaign is created in hunter Read More...
Amazon CloudWatch + hunterCreate Lead to hunter from New Log in Amazon CloudWatch Read More...
Amazon CloudWatch + hunterCreate Recipent to hunter from New Log in Amazon CloudWatch Read More...
It's easy to connect hunter + Amazon CloudWatch without coding knowledge. Start creating your own business flow.
Triggers when a new campaign is available to your account.
Triggers when a new lead is created.
Triggers when a new log is created.
Creates a new lead.
Adds a recipient to one of your ongoing campaigns.
In this project, we will create a hunter agent that continuously reads the values of CPU utilization and memory used by all the virtual machines running on a specific AWS account. Every time a new value is read, we will publish this information to a CloudWatch metric.
There are three main parts in this project. the hunter agent, the AWS CloudWatch metric, and the CloudWatch metrics dashboard.
The hunter agent part is responsible for cplecting the data from each virtual machine in an AWS account. It uses the same method we used in the previous project of reading the CPU utilization and memory used by each virtual machine using the Amazon EC2 API. We also use an AWS Metrics library that provides a convenient way to publish these metrics to CloudWatch.
The AWS CloudWatch metric part is responsible for publishing the data from the hunter agent to the CloudWatch metrics dashboard. We use the same method we used in the previous project for publishing metrics to CloudWatch. we write the data to a CSV file first and then upload it to CloudWatch. However, we will also update an existing metric every time a new data point is written to the CSV file so that we can monitor current values of these metrics at any time.
The CloudWatch metrics dashboard part is basically an empty page that shows information in different graphs. The metrics displayed here are only samples of the metrics sent by our hunter agent. Although they are not real-time, they give us a clear picture of how much resource is currently consumed by virtual machines. They also help us gather data points in order to create meaningful graphs. For example, we can have 4 different graphs displaying CPU utilization and memory used by four different virtual machines. We can also display two graphs for CPU and memory used by virtual machines grouped by size (small, medium, large. In addition, we can display two graphs for CPU and memory used by virtual machines grouped by operating system (Ubuntu, CentOS, Windows. Finally, we can display two graphs for CPU and memory used by virtual machines grouped by availability zone.
The overall result of this project is a hunter agent that cplects vital information about your AWS environment and publishes it to the CloudWatch metrics dashboard so that you can monitor it at any time. Also, if you notice something abnormal, you will be able to compare current values with previous data points and see how much resources are being consumed by your virtual machines. This is especially useful for applications that require high availability because you will be able to detect if something abnormal happens before it causes major problems.
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