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Harvest + Amazon EC2 Integrations

Appy Pie Connect allows you to automate multiple workflows between Harvest and Amazon EC2

About Harvest

Harvest is a cloud-based time tracking tool designed for businesses of all sizes. The solution provides timesheet and invoicing features for small businesses and freelancers. Key features include time and expense management, team management, project management, scheduling and invoicing.

About Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) is a web service provides secure, reliable, scalable, and low-cost computational resources. It gives developers the tools to build virtually any web-scale application.

Amazon EC2 Integrations

Best Harvest and Amazon EC2 Integrations

  • Harvest Slack

    Amazon EC2 + Slack

    Get notified in Slack when a new instance is created in Amazon EC2 Read More...
    When this happens...
    Harvest New Instance
     
    Then do this...
    Slack Send Channel Message
    Amazon EC2 is a web service that provides resizable compute capacity in the cloud. With this integration, you can get a Slack message when an EC2 instance is launched. Useful for keeping track of your resource usage and spotting when someone else has snuck in and rented your spot from under you. Connecting Amazon EC2 to Slack is easy and does not coding knowledge.
    How It Works
    • A new instance is created in Amazon EC2
    • Appy Pie Connect posts a message to your Slack account
    What You Need
    • Amazon EC2 account with at least one instance
    • Slack account
  • Harvest Slack

    Amazon EC2 + Slack

    Receive Slack notifications for new Amazon EC2 scheduled events Read More...
    When this happens...
    Harvest New Scheduled Event
     
    Then do this...
    Slack Send Channel Message
    This integration will post a message into a Slack channel every time an instance is created on the EC2 account you link with Appy Pie Connect. This is useful if you run your own business and want to know about what’s happening on your own cloud, so you can get to work straight away. You can set up triggers to notify specific Slack channels of each EC2 event type.
    How This Works
    • A new event is scheduled in Amazon EC2
    • Appy Pie Connect sends a Slack channel message
    What You Need
    • Amazon EC2 account
    • Slack account
  • Harvest Amazon EC2

    Gmail + Amazon EC2

    Start, stop or Reboot an instance from a starred Gmail email [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Harvest New Starred Email
     
    Then do this...
    Amazon EC2 Start Stop or Reboot Instance

    If you want to control your Amazon Elastic Compute Cloud (Amazon EC2) from your Gmail then this integration is for you. Once you set it up, whenever you star an email in Gmail, Appy Pie Connect will automatically start, stop or reboot (according to the set schedule) an instance running in your Amazon EC2. With this Gmail- Amazon EC2, you can reduce the costs of running tests and Amazon EC2 instances.

    How this integration works
    • You star an email in Gmail
    • Appy Pie Connect will automatically start, stop or reboot an instance in Amazon EC2
    What You Need
    • A Gmail account
    • An Amazon EC2
  • Harvest Amazon EC2

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Harvest {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Harvest + Amazon EC2 in easier way

It's easy to connect Harvest + Amazon EC2 without coding knowledge. Start creating your own business flow.

    Triggers
  • New Client

    Triggers when you add a new client.

  • New Contact

    Triggers when you add a new contact.

  • New Invoice

    Triggers when you add a new invoice (with line item support).

  • New Invoice

    Triggers when you add a new invoice.

  • New Person

    Triggers when you add a new person.

  • New Project

    Triggers when you add a new project.

  • New Task

    Triggers when you add a new task.

  • New Timesheet Entry

    Triggers when a new timesheet entry is created for today.

  • New User Assignment

    Triggers when a person is assigned to a project.

  • New Instance

    Triggers when a new instance is created.

  • New Scheduled Event

    Triggers when a new event is scheduled for one of your instances.

    Actions
  • Start Stop or Reboot Instance

    Start Stop or Reboot Instance

How Harvest & Amazon EC2 Integrations Work

  1. Step 1: Choose Harvest as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Harvest with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Amazon EC2 as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Amazon EC2 with Appy Pie Connect.

    (2 minutes)

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

Integration of Harvest and Amazon EC2

Harvest?

Harvest is a top that allows you to send events to Amazon EC2 instances.

  • Amazon EC2?
  • Amazon EC2 is a web service that provides resizable compute capacity in the cloud. You pay only for what you use. You can launch an instance in just a minute.

  • Integration of Harvest and Amazon EC2
  • Harvest has been integrated with Amazon EC2 so that you can cplect and store data from your Amazon EC2 instances, as well as run scheduled tasks on them using the same framework that you use for your other data cplection and scheduling jobs. You can now cplect performance data from your Amazon EC2 instances with Harvest and store it in any of the supported backends (e.g., MySQL, Oracle, DB2. You can also schedule tasks to run on your Amazon EC2 instances using the same Harvest scheduling engine.

  • Benefits of Integration of Harvest and Amazon EC2
  • The benefits of integrating Harvest with Amazon EC2 are:

    Access to data about your Amazon EC2 instances. You can cplect detailed information about your Amazon EC2 instances, such as CPU and memory usage, disk I/O bandwidth, network I/O bandwidth, etc. You can then view and analyze the cplected data using a variety of tops that Harvest supports, e.g., Microsoft Excel, Microsoft Access, etc.

    In addition to being able to cplect the basic operational data available directly by default from Amazon Web Services (AWS), you can add custom attributes to your instances to cplect customized performance metrics related to your specific application needs. For instance, if you are writing a web crawler or a media indexer using Python, Ruby or any other scripting language, you can cplect the URLs fetched by your application by implementing a custom script that runs on your instance.

    You can create aggregate tables that combine data from multiple instances into one table for easier access and analysis. For instance, if you need to keep track of the number of requests per second per instance, you can create a table in MySQL that combines this data.

    You can configure AWS billing alerts to be sent via email or SMS text message when your monthly bill exceeds a certain amount.

    You can use Harvest’s bulk export feature to export large amounts of data from Harvest easily, instead of exporting one row at a time.

    You can schedule tasks on your instances using the same Harvest scheduler engine that you use for other commonly scheduled jobs such as backup, cleanup, check disk space, etc. The advantage of scheduling tasks on your instances is that you do not need to worry about configuring your instances to run the jobs or monitoring the status of these jobs. You only need to submit them through Harvest’s web interface and they will automatically be executed on your instances.

    You may store your performance data in a database back end (MySQL, Oracle, DB2. instead of storing it in CSV files.

    The process to integrate Harvest 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.