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Integrate hunter with Amazon CloudWatch

Appy Pie Connect allows you to automate multiple workflows between hunter and Amazon CloudWatch

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About hunter

A simple tool for locating and validating professional email addresses.

About Amazon CloudWatch

Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

Amazon CloudWatch Integrations
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Best ways to Integrate hunter + Amazon CloudWatch

  • hunter Integration Amazon CloudWatch Integration

    hunter + Amazon CloudWatch

    Enable Alarm in Amazon CloudWatch when New Lead is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Lead
     
    Then do this...
    Amazon CloudWatch Integration Enable Alarm
  • hunter Integration Amazon CloudWatch Integration

    hunter + Amazon CloudWatch

    Enable Alarm in Amazon CloudWatch when New Campaign is created in hunter Read More...
    Close
    When this happens...
    hunter Integration New Campaign
     
    Then do this...
    Amazon CloudWatch Integration Enable Alarm
  • hunter Integration hunter Integration

    Amazon CloudWatch + hunter

    Create Lead to hunter from New Log in Amazon CloudWatch Read More...
    Close
    When this happens...
    hunter Integration New Log
     
    Then do this...
    hunter Integration Create Lead
  • hunter Integration hunter Integration

    Amazon CloudWatch + hunter

    Create Recipent to hunter from New Log in Amazon CloudWatch Read More...
    Close
    When this happens...
    hunter Integration New Log
     
    Then do this...
    hunter Integration Create Recipent
  • hunter Integration Gmail Integration

    hunter + Gmail

    Welcome new Hunter customers with emails from Gmail Read More...
    Close
    When this happens...
    hunter Integration New Lead
     
    Then do this...
    Gmail Integration Send Email
    Greeting new customers with a message is a great way to start a pleasant connection, but it takes time—unless you automate it. Set up this integration and Appy Pie Connect will take care of the rest: When you add a new lead to Hunter, Appy Pie Connect will send them a bespoke email from your Gmail account, so you can focus on capturing new leads and engaging those who respond.
    How This Hunter-Gmail Integration Works
    • A new lead is added to Hunter
    • Appy Pie Connect automatically sends an email from your Gmail account to them
    Involved Apps
    • Hunter
    • Gmail
  • hunter Integration {{item.actionAppName}} Integration

    hunter + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect hunter + Amazon CloudWatch in easier way

It's easy to connect hunter + Amazon CloudWatch without coding knowledge. Start creating your own business flow.

    Triggers
  • New Campaign

    Triggers when a new campaign is available to your account.

  • New Lead

    Triggers when a new lead is created.

  • New Log

    Triggers when a new log is created.

    Actions
  • Create Lead

    Creates a new lead.

  • Create Recipent

    Adds a recipient to one of your ongoing campaigns.

  • Enable Alarm

    Enable Alarm

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How hunter & Amazon CloudWatch Integrations Work

  1. Step 1: Choose hunter as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Amazon CloudWatch as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from hunter to Amazon CloudWatch.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of hunter and Amazon CloudWatch

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.

The process to integrate hunter and Amazon CloudWatch may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.