AWS Webhook Integration: 5 Comprehensive Aspects

on Amazon S3, API, Automation, AWS, AWS Lambda, Cloud Computing, Data Driven, Data Integration, JSON, Redshift Data APIs, Tutorials, Webhook • October 8th, 2021 • Write for Hevo

In today’s online world, no platform can work optimally as a single independent system. In most cases, more than one entity is involved to complete a task. For example, E-Commerce applications must communicate with payment systems, and the payment systems must communicate with banking systems, and so forth. This is where Webhooks come in handy.

A Webhook is an HTTP (Hypertext Transfer Protocol) request that is triggered by an event in a source system and delivered to a destination system, often with a data payload. Webhooks are sent out automatically when an event in the source system occurs. Independent online systems’ capability to communicate and share data is at the heart of what makes online services attractive today.

This article will give you a comprehensive guide to AWS Webhook Integration along with its key features. You’ll learn about the working of AWS Webhook integration. You will also explore the common use cases and limitations associated with them in the further section. Let’s get started.

Table of Contents

Introduction to Amazon Web Services (AWS)

AWS Logo
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Amazon Web Services (AWS) is the world’s most comprehensive and widely used Cloud platform, offering more than 200 fully-featured services from data centers across the globe. AWS provides organizations with Database Storage, Compute Power, Content Distribution, and other user-friendly functions to help them grow and perform better. The following are some of the most popular AWS services:

  • AWS Redshift: AWS Redshift is a fully-managed and petabyte-scaled Cloud Data Warehousing service. It is a column-oriented database that uses a columnar structure to store data. It also has a compute engine that can be used to do computations and gather critical insights.
  • AWS S3 (Simple Storage Service): AWS S3 provides secure and scalable data storage for a variety of data formats, including weblogs, backups, scripts, documents, and more. It also provides a high level of data availability and long-term durability. It is compatible with nearly all ETL (Extract, Transform, and Load) tools and programming languages.
  • AWS EC2 (Elastic Compute Cloud): AWS EC2 is a cloud computing service that delivers secure and scalable computation capability. You gain complete control over computing resources and can operate them on Amazon’s infrastructure.
  • AWS RDS (Relational Data Service): AWS RDS supports a variety of commercial and open-source databases, including PostgreSQL, MySQL, Microsoft SQL Server, MariaDB, and others. The RDS management layer allows routine operations to be automated.

Key Features of Amazon Web Services (AWS)

Amazon Web Services has gained wide popularity in the market. Some of the key features of Amazon Web Services include:

  • Scalability: AWS provides on-demand scalability i.e. it can scale up or scale down computing resources in response to the changes in demand. It can also be used to implement short-term jobs, mission-critical jobs, and jobs that are repeated at regular intervals.
  • Cost-Effective: AWS provides on-demand IT (Information Technology) infrastructure, allowing you to use only the resources you require. Moreover, AWS does not require an initial investment, a long-term commitment, or a minimum spending amount.
  • Flexibility: The flexibility of AWS is a valuable asset for businesses looking to deliver products with the most up-to-date technology in time while also increasing efficiency.
  • Security: AWS provides a scalable Cloud Computing architecture that ensures end-to-end security and privacy. Furthermore, AWS is committed to ensuring your data’s security, integrity, and availability at all times.
  • Mobile-Friendly: AWS Mobile Hub assists you in selecting the functionality that you want for your app. It also comes with a dashboard that allows you to use AWS services such as designing, testing, and monitoring mobile apps. Furthermore, AWS Mobile Hub gives you a lot of options for selecting and customizing mobile services like content delivery and push alerts.

To know more about Amazon Web Services, visit this link.

Introduction to AWS Lambda Webhook Integration

AWS Lambda Logo
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AWS Lambda is a serverless computing service that lets you run code without having to worry about managing or deploying servers. It runs your code on a highly available, elastic infrastructure and is also capable of running code for almost any backend or application service.

In a serverless architecture, code must be organized into functions. AWS Lambda Webhook only executes your functions when they are required. It also scales up and down automatically, from a few requests per day to thousands of requests per second. Moreover, you’ll only be charged for the compute time you use, you won’t be charged if your code isn’t executed.

Below are the key components of AWS Lambda Webhook:

1) Lambda Functions: AWS Lambda engine runs standalone functions known as Lambda Functions. These functions are terminated after they complete their tasks.

2) Packaging Functions: Lambda functions, including their dependencies, are compressed and sent to AWS using the Packaging Functions. Also, it should be noted that the function must be compressed and uploaded to an S3 bucket first.

Key Features of AWS Lambda Webhook Integration

AWS Lambda Webhook is widely used in numerous applications. Some of the key features of AWS Lambda Webhook Integration include:

  • Fault Tolerance: To help safeguard your code against data center facility failures, AWS Lambda Webhook maintains computing resources across several Availability Zones in each region. Moreover, there are no scheduled downtimes or maintenance windows.
  • Automatic Scaling: AWS Lambda Webhook runs your code just when it’s needed, and it grows automatically to handle the volume of incoming requests without requiring any configuration. Since Lambda scales automatically, performance remains stable even if the number of events grows.
  • Easy Integration: AWS Lambda Webhook extensions make it easy to connect it to your favorite monitoring, observability, security, and governance tools. You may also use AWS Lambda’s execution environment to incorporate security agents, with little operational overhead and low impact on function performance.
  • Security: AWS Lambda’s built-in AWS SDK (Software Development Kit) and integration with AWS Identity and Access Management (IAM) allow your code to safely access other AWS services. By default, AWS Lambda runs your code within a VPC (Virtual Private Cloud).

To know more about AWS Lambda Webhook Integration, visit this link.

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Working of AWS Lambda Webhook Integration

Working of AWS Lambda Webhook
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The following four basic steps will explain how AWS Lambda Webhook Integration works:

Step 1: Upload or Write Code in AWS Lambda’s Code Editor

Upload or Write Code in AWS Lambda's Code Editor
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Developers can begin using AWS Lambda Webhook by uploading code or directly writing code in AWS Lambda’s code editor and mentioning the conditions that activate the code. 

Step 2: Configure your Code to be Triggered by other AWS Services or In-App Activities

Configure your code
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After uploading or writing code in AWS Lambda’s code editor, you can set up your code to be triggered by other AWS Services, HTTP Endpoints, or In-App activities. Moreover, Developers don’t have to worry about managing the server or locating the appropriate application or resource as it is done automatically.

Step 3: AWS Lambda Webhook runs your Code when Triggered with Associated Events

AWS Lambda Logo
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When an event is triggered, AWS Webhook executes the associated code by selecting resources from the infrastructure ecosystem to execute the event. As a result, organizations can manage their IT infrastructure intelligently. 

Moreover, the Control Plane component of the AWS Lambda run-time environment is composed of APIs that make it easier to access AWS resources for application execution. Another important component of the run-time environment is the Data Plane that offers APIs (Application Programming Interfaces) to run the functions. When a function is called to run another function, the Data Plane either creates a dedicated execution environment or utilizes the one that is already available. Other functions are never allowed to use this execution environment.

Step 4: Pay for the Compute Time you Utilized

Pay for the Compute Time you Utilized
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Lastly, in AWS Webhook, you only pay for the function run-time that you utilize. This can result in significant cost savings depending on your usage patterns.

Common Use Cases of AWS Webhook Integration

AWS Webhook has numerous use cases. Some of the common use cases of AWS Webhook include:

  1. Data Processing: You may use AWS Webhook to run code in response to events like Data Changes, System State Alterations, or User Actions. AWS services like S3, DynamoDB, Kinesis, SNS, and CloudWatch may directly trigger AWS Webhook. This enables you to create a variety of serverless real-time data processing systems.
  2. Web Applications: Developers may create sophisticated Web Applications that automatically scale up and down and run in a highly available configuration across many data centers by integrating AWS Webhook with other AWS services. Furthermore, scalability, backups, and multi-datacenter redundancy may all be accomplished with zero administrative effort.
  3. Real-Time Stream Processing: You may utilize AWS Webhook with Amazon Kinesis for Application Activity Tracking, Transaction Order Processing, Clickstream Analysis, Data Purification, Metrics Creation, Log Filtering, Indexing, Social Media Analysis, and IoT (Internet of Things) device data telemetry and metering.
  4. Mobile Backends: It’s easy to develop rich, customized app experiences using AWS Webhook. Moreover, AWS Webhook and Amazon API Gateway can be used to create backends that authenticate and handle API requests.
  5. Machine Learning: You may preprocess data using AWS Webhook before feeding it to your Machine Learning model. You may also serve your model for prediction at scale with Lambda access to EFS (Elastic File System) and that too without having to provision or manage any infrastructure.

Limitations of AWS Webhook Integration

While there are several benefits to using AWS Webhook in production, however, there are a few things you should be aware of before using it:

  1. Cold Start Time: There can be a small amount of latency when a function is started in response to an event. Latency can be as high as 5-10 seconds if your function hasn’t been called in the past 15 minutes, making AWS Webhook unsuitable for latency-critical applications.
  2. Limited Number of Supported Runtimes: AWS Webhook allows you to build custom runtimes, however, doing so might be a difficult task. So, if your programming language version isn’t supported by AWS Webhook, you might be better suited utilizing AWS EC2 or another cloud provider. 
  3. Not always cost-effective: On AWS Webhook, you only pay for the function runtime that you utilize. This can result in significant cost savings for certain usage patterns. However, when your application’s demand grows, the cost of AWS Webhook rises proportionally, and it may end up being more than the cost of equivalent infrastructure on AWS EC2 or other cloud providers.

Conclusion

In this article, you learned about AWS Webhook Integration and its key features. It also gave an overview of Amazon Web Services and its key features. You also got to know about the working of AWS Webhook, use cases, and its limitations. You are now in the position to make use of AWS Webhook in your projects with ease.  

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Share your experience of learning about AWS Webhook Integration in the comments section below!

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