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Wave + Amazon CloudWatch Integrations

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

About Wave

One of the most effective invoicing and accounting software, Wave is widely used by freelancers, consultants, contractors, and small business owners. With Wave you can carry out optional credit card and bank payment processing quite quickly.

About Amazon CloudWatch

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

Amazon CloudWatch Integrations
Amazon CloudWatch Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • Freshservice Freshservice

Best Wave and Amazon CloudWatch Integrations

  • Wave MailChimp

    Wave + MailChimp

    Subscribe new Wave customers to Mailchimp Read More...
    When this happens...
    Wave New Customer
     
    Then do this...
    MailChimp Add/Update Subscriber
    Add new subscribers to your email marketing lists by integrating Wave account with Mailchimp. Every time a new customer is created in your Wave account, Appy Pie Connect will create a Mailchimp subscriber. Simply connect Wave to your Mailchimp account, and let Appy Pie Connect create new leads for your email list automatically.
    How This Wave – Mailchimp Integration Works
    • A new customer is added
    • Appy Pie Connect automatically adds subscriber to a list on Mailchimp
    What You Need
    • Wave account
    • Mailchimp account
  • Wave Slack

    Wave + Slack

    Send messages on Slack for new Wave invoices Read More...
    When this happens...
    Wave New Invoice
     
    Then do this...
    Slack Send Channel Message
    Keeping track of your invoices may seem like a mundane task, but the process quickly becomes cumbersome if left unmanaged. Appy Pie Connect is designed to help you scale time spent managing repetitive tasks by using the tools you have already have at your disposal. With the help of Appy Pie Connect, you can receive automatic notifications in a chat service like Slack whenever a new invoice is received. Never again be concerned about the status of each invoice.
    How This Wave – Slack Integration Works
    • A new invoice is created
    • Appy Pie Connect automatically sends message to a specific channel on Slack.
    What You Need
    • Wave account
    • Slack account
  • Wave Amazon CloudWatch

    Gmail + Amazon CloudWatch

    Enable Amazon CloudWatch alarm from new Gmail emails matching the specified search criteria [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Wave New Email Matching Search
     
    Then do this...
    Amazon CloudWatch Enable Alarm

    WA metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.

    Note: To use this integration you must have a Business Gmail account.

    How this Gmail - Amazon CloudWatch integration work
    • A new email matching a search term is received on Gmail
    • Appy Pie Connect automatically enables Amazon CloudWatch alarm.
    What You Need
    • A Gmail account
    • An Amazon CloudWatch account
  • Wave Amazon CloudWatch

    Gmail + Amazon CloudWatch

    Enable Amazon CloudWatch alarm from new Gmail emails matching specified search criteria [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Wave New Email Matching Search
     
    Then do this...
    Amazon CloudWatch Enable Alarm
    A metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect, and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.
    How this Gmail-Amazon CloudWatch Integration Works
    • A new email matching a search term is received on Gmail
    • Appy Pie Connect automatically enables Amazon CloudWatch alarm.
    What You Need
    • A Gmail Account
    • An Amazon CloudWatch  account
  • Wave Amazon CloudWatch

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

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

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

    Triggers
  • New Customer

    Triggers when a new customer is added to a business you choose.

  • New Invoice

    Triggers when a new invoice is created.

  • New Log

    Triggers when a new log is created.

    Actions
  • Create Customer

    Creates a customer in a business that you choose.

  • Create Invoice

    Creates a new invoice.

  • Create Product or Service

    Creates a product or service in a business that you choose.

  • Record Transaction

    Records a transaction in a business.

  • Enable Alarm

    Enable Alarm

How Wave & Amazon CloudWatch Integrations Work

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

    (30 seconds)

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

    (10 seconds)

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

    (30 seconds)

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

    (10 seconds)

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

    (2 minutes)

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

Integration of Wave and Amazon CloudWatch

Cloud computing is a model of service delivery for enabling convenient, on-demand network access to a shared pop of configurable computing resources (e.g., networks, servers, storage, applications and services. that can be rapidly provisioned and released with minimal management effort or service provider interaction [1]. In cloud computing, the service provider delivers the computing capabilities as a service over the Internet using standard cloud infrastructure. Cloud computing provides an infrastructure that is scalable, elastic, and reliable from the customer’s point of view, while it offers a very high level of automation.

As the cloud computing model gains popularity amongst business and consumers, many different companies are developing cloud technpogies to provide a wide range of services.

Wave is a new platform for building web-based applications in the cloud. Wave is based on Google Gears and uses Google App Engine as a backend. Google Gears is an open-source browser extension that makes web apps work offline. It provides automatic synchronization between your web app and your computer. Google Gears enables you to run your web apps offline and take your data with you (on mobile devices.

Amazon Web Services (AWS), which is part of Amazon.com, Inc., provides on demand cloud computing platforms to individuals, companies and governments. AWS offers a suite of global compute, storage, database, analytics, application, and deployment services from data centers in Asia Pacific (Singapore), Europe (Ireland), and North America (US West.

In this paper we present an overview of Wave and Amazon CloudWatch, then we will explain integration of Wave and Amazon CloudWatch and its benefits in detail. Finally, we conclude the paper.

2.1 Wave and Amazon CloudWatch

Wave is open source framework which can help users build rich web applications by providing new UI components like drag & drop editors, calendars, lists and charts [2]. Wave also includes other features like Task Lists, email notifications, time zone support, etc. It helps developers to leverage the Google App Engine as their cloud infrastructure. In this section we will explain Wave and Amazon CloudWatch in detail.

2.1.1 Wave

Wave is an open-source project that allows users to create real-time web applications. It offers a set of APIs that users can use to build web applications that have the same look and feel of desktop or smartphone applications [3]. Wave helps users work together on documents in real time. Users can create documents in Google Wave just as they create HTML pages in their browsers, but rather than sending requests back and forth, users see each other's changes immediately. These documents are called Waves since they are often used for conversations. The term "wave" refers to both the data structure used by Wave (a sequence of messages. and the act of creating or modifying a Wave.

Google has released Wave technpogy under the permissive Apache 2 license [4]. This means that any company or individual can use this technpogy for free. Google also encourages developers to write applications using these APIs (they even offer a $10 million prize for the person/team who writes the best one.

2.1.2 Amazon Web Services (AWS)

Amazon Web Services (AWS. is a cplection of remote computing services that together make up a cloud-computing platform offered by Amazon Web Services LLC. Together these services operate from 11 geographical regions across the world. Starting from 2006, Amazon Web Services provides access to virtual machines in the cloud starting at 5 dplars per month [5]. By 2010 more than 1 million users were using Amazon's EC2 service [6]. To date, AWS has launched more than 65 products including its Elastic Compute Cloud (EC2), Simple Storage Service (S3), Relational Database Service (RDS), Elastic MapReduce (EMR), etc. In this paper we will discuss integration of Wave with Amazon CloudWatch for monitoring the performance of the system in details.

2.2 Integration of Wave and Amazon CloudWatch

The figure below shows how the integration of Wave with Amazon CloudWatch works:

Figure 1. Integration of Wave with Amazon CloudWatch

Wave maintains information about all the actions taken by users in wave logs. All these logs are saved in local file system of each user machine where google wave application is installed after performing idle tasks periodically every 2 minutes so that it does not affect the performance of Google application engine if they are frequently accessed by users [7]. These logs are uploaded to google app engine through API calls on every 10 minutes after performing idle tasks in which all the actions taken by users are logged into resulting com.google.wave.api.services package [8]. In this paper we will focus on integration of wave logs with Amazon CloudWatch for monitoring the performance of system hence user actions are logged in com.google.wave.api.services package which will be uploaded to Google App Engine through API calls after performing idle tasks periodically every 10 minutes hence waves are uploaded to Google App Engine at every 10 minutes intervals as shown in Figure 1. Integration of Wave with Amazon CloudWatch . After uploading the waves into Google App Engine they are stored in S3 bucket at every 10 minutes interval as shown in Figure 1. Integration of Wave with Amazon CloudWatch . Now we have two options either we store these waves in S3 or we analyze them before storing them into S3 bucket so that we can analyze them before storing them into S3 bucket which can save space in S3 bucket since users will not upload duplicate waves after analyzing them once to S3 bucket if they want to upload waves again to S3 bucket then they will upload only those waves which are not already present in S3 bucket since all waves present in S3 bucket have been analyzed once before being uploaded to S3 bucket so they do not need to go through analysis again whereas this analysis process can be performed by using third party tops like Hadoop or Pig for ease of use otherwise it could be performed manually as well and all these waves are analyzed by using wave analyzer top developed by us which will filter out duplicate waves from all waves present in S3 bucket so that only unique waves which are not present in S3 bucket will be uploaded into S3 bucket hence space occupied by duplicate waves will be freed up from S3 bucket which can be utilized by storing newer waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket because these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied by duplicate waves can be utilized for storing new waves into S3 bucket without loosing any valuable information out from S3 bucket since these duplicate waves are already present in S3 bucket after analyzing them once during creation process so it will save space occupied by duplicate waves from S3 bucket hence space occupied

The process to integrate Wave 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.