Integrate Harvest with Amazon EC2
Appy Pie Connect allows you to automate multiple workflows between Harvest and Amazon EC2
- No code
- No Credit Card
- Lightning Fast Setup
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 IntegrationsBest Harvest and Amazon EC2 Integrations
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Harvest + Amazon EC2
Start Stop or Reboot Instance in Amazon EC2 when New User Assignment is created in Harvest Read More...When this happens...
New User Assignment
Then do this...
Start Stop or Reboot Instance
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Harvest + Amazon EC2
Start Stop or Reboot Instance in Amazon EC2 when New Project is created in Harvest Read More...When this happens...
New Project
Then do this...
Start Stop or Reboot Instance
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Harvest + Amazon EC2
Start Stop or Reboot Instance in Amazon EC2 when New Client is created in Harvest Read More...When this happens...
New Client
Then do this...
Start Stop or Reboot Instance
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Harvest + Amazon EC2
Start Stop or Reboot Instance in Amazon EC2 when New Contact is created in Harvest Read More...When this happens...
New Contact
Then do this...
Start Stop or Reboot Instance
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Harvest + Amazon EC2
Start Stop or Reboot Instance in Amazon EC2 when New Task is created in Harvest Read More...When this happens...
New Task
Then do this...
Start Stop or Reboot Instance
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When this happens...
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Then do this...{{item.actionTitle}}
It's easy to connect Harvest + Amazon EC2 without coding knowledge. Start creating your own business flow.
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New Client
Triggers when you add a new client.
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New Contact
Triggers when you add a new contact.
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New Invoice
Triggers when you add a new invoice (with line item support).
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New Invoice
Triggers when you add a new invoice.
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New Person
Triggers when you add a new person.
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New Project
Triggers when you add a new project.
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New Task
Triggers when you add a new task.
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New Timesheet Entry
Triggers when a new timesheet entry is created for today.
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New User Assignment
Triggers when a person is assigned to a project.
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New Instance
Triggers when a new instance is created.
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New Scheduled Event
Triggers when a new event is scheduled for one of your instances.
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Creates Timesheet Entry
Creates a new timesheet entry for the current day.
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Start Stop or Reboot Instance
Start Stop or Reboot Instance
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How Harvest & Amazon EC2 Integrations Work
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Step 1: Choose Harvest as a trigger app and authenticate it on Appy Pie Connect.
(30 seconds)
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Step 2: Select "Trigger" from the Triggers List.
(10 seconds)
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Step 3: Pick Amazon EC2 as an action app and authenticate.
(30 seconds)
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Step 4: Select a resulting action from the Action List.
(10 seconds)
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Step 5: Select the data you want to send from Harvest to Amazon EC2.
(2 minutes)
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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 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.
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.
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.