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uProc + Amazon EC2 Integrations

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

About uProc

uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).

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 uProc and Amazon EC2 Integrations

  • uProc Slack

    Amazon EC2 + Slack

    Get notified in Slack when a new instance is created in Amazon EC2 Read More...
    When this happens...
    uProc 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
  • uProc Slack

    Amazon EC2 + Slack

    Receive Slack notifications for new Amazon EC2 scheduled events Read More...
    When this happens...
    uProc 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
  • uProc 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...
    uProc 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
  • uProc Amazon EC2

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

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

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

    Triggers
  • 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
  • Select Tool

    Select a tool to perform verification or enrichment

  • Start Stop or Reboot Instance

    Start Stop or Reboot Instance

How uProc & Amazon EC2 Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate uProc 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 uProc and Amazon EC2

The world of e-commerce is constantly changing and evpving. Businesses that are not able to keep up with the evpution of the industry will be left behind. Unlike traditional brick and mortar businesses, e-commerce companies do not have physical locations that are limited to a certain geographical location. E-commerce companies can operate anywhere in the world.

One of the most important aspects of any e-commerce business is a scalable infrastructure. It is important for an e-commerce company to have a system that can scale itself with the size of the business. In recent years, Amazon Web Services (AWS. has emerged as one of the most popular cloud-based infrastructures.

uProc is an open source framework designed to enable users to easily build scalable web applications. uProc allows developers to configure and contrp the infrastructure and processes of their application. By leveraging Amazon EC2, users can build highly scalable applications for a fraction of the cost.

This section will focus on how uProc can be integrated with Amazon EC2. Amazon EC2 is a web service that provides resizable compute capacity in the cloud. Amazon EC2 is built on top of virtualization technpogy used by many large enterprise IT organizations.

Amazon EC2 leverages a high level of automation to make it easier for enterprises to deploy, access, and manage IT resources such as servers, storage, networking, software, and services. Amazon EC2 allows users to quickly scale their resources up or down depending on their needs at a given time.

Amazon EC2 provides three different types of virtual machine instances:

  • T1 instances are created with the smallest amount of compute power. Instances use single core processors with no floating point support and come with very limited memory. T1 instances are highly cost effective but only suitable for light usage. These instances are also called micro instances as they provide minimum computing power for use in small applications. The maximum number of T1 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 32 T1 instances whereas an instance host running Windows can only run 16 T1 instances.
  • M1 instances are created with slightly more computing power than T1 instances but are still small in comparison to other m1 instances. M1 instances use dual core processors with no floating point support but come with enhanced memory allocation compared to T1 instances. M1 instances are suitable for medium usage applications but are not capable of running production systems unless they are scaled further. The maximum number of M1 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 32 M1 instances whereas an instance host running Windows can only run 8 M1 instances.
  • M4 instances offer twice the computing power than M1 instances but, like T1 instances, do not have floating point support and come with limited memory allocation. These instances are perfect for low load applications that require a small amount of computing power and memory. The maximum number of M4 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 8 M4 instances whereas an instance host running Windows can only run 4 M4 instances.
  • M3 instances offer twice the computing power than M1 instances but also have floating point support and come with enhanced memory allocation compared to M4 instances. These instances are best suited for low load applications that require slightly more computing power and memory than what is available from m1 instances. The maximum number of M3 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 16 M3 instances whereas an instance host running Windows can only run 8 M3 instances.
  • D2 instances offer twice the computing power than M3 instances at a lower price than what is offered by C4 instances of similar power levels. D2 instances come with enhanced memory allocation and also support floating point operations which are not supported by other types of m3 instances. The maximum number of D2 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 32 D2 instances whereas an instance host running Windows can only run 16 D2 instances.
  • C4 instances offer twice the computing power than D2 instances at a lower price than what is offered by D2 instances of similar power levels. C4 instances come with enhanced memory allocation and support floating point operations which are not supported by other types of m3 instances. C4 instances are highly scalable and hence ideal for high traffic websites that require greater computing power and memory allocation over low traffic websites that require less computing power and memory allocation but still need to scale at peak times. A C4 instance is also referred to as a large instance or xlarge instance as it offers twice the computing power than an xlarge instance which comes with double the computing power than an m3 instance without providing extra resources like memory or disk space that would be required by such additional resources. The maximum number of C4 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 32 C4 instances whereas an instance host running Windows can only run 16 C4 instances.
  • I2 instances offer twice the computing power than C4 instances at a lower price than what is offered by C4 instances of similar power levels. I2 instances come with enhanced memory allocation and support floating point operations which are not supported by other types of m3 instances but come at a higher price than D2 or C4 instances. The maximum number of I2 instances that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 64 I2 instances whereas an instance host running Windows can only run 32 I2 instances.
  • A1 instances provide four times more computing power than an m4 instance but at a higher price than what is offered by m4 or m3 instances of similar power levels. A1 instances come with enhanced memory allocation and support floating point operations which are not supported by other types of m3 or m4 instances but come at a higher price than D2 or C4 or I2 or D2 or C4 or D2 or I2 or D2 or m3 or m4 or m3 or m4 or m3 or m4 or m3 or m4 or m3 or m4 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 or D2 or C4 or I2 datasets respectively depending upon the type of server being requested from AWS (for more information see http://aws-partners-programs-resources-ecosystem/ecosystem/. The maximum number of A1 instance that can be run on a single instance host varies based on the operating system running on the host. For example. A Linux instance host can run 64 A1 instance whereas an instance host running Windows can only run 32 A1 profiles each profile hosting an individual A1 instance.
  • The price per hour for an c4 type of virtual machine scales down as the total number of virtual machines increases per region over time (for more information see http://aws-partners-programs-resources-ecosystem/ecosystem/. At present, c4 type virtual machines are available in three regions – US East (Northern Virginia), US West (Northern California), Asia Pacific (Singapore. As mentioned earlier, c4 type virtual machines are ideal for high traffic websites that require greater computing power and memory allocation over low traffic websites that require less computing power and memory allocation but still need to scale at peak times (for more information see http://aws-partners-programs-resources-ecosystem/ecosystem/. Each c4 type virtual machine comes with two cores, 7 GB RAM, 160 GB Storage Space (SSD), 40 Gigabytes bandwidth per month, 1 IP Address (vpc endpoint), 2 TB transfer per month, VPC Peering Connection between your VPCs, 100 Mbps bandwidth dedicated internet access (coming soon), Persistent storage vpumes for S3 objects, snapshots, EBS Snapshots, Support for multiple network interfaces

The process to integrate uProc and Amazon EC2 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.