Microservice for Sending Email using Twilio SendGrid Email API

Developer coding a microservice for Sendgrid Email API
October 24, 2023
Written by
Reviewed by
Paul Kamp
Twilion

Twilio SendGrid is an extremely powerful platform for sending and receiving emails, but it does require some building. When talking to customers about using the SendGrid Email API, I often talk about a “communications layer” or a “microservice” or some way to enable an organization to effectively use email at scale. In these conversations, I have said many times that “if I were building this, I would do it this way…”

AWS is a leader in cloud computing and serverless technologies and event driven architectures can be especially attractive to email use cases where resources can be spun up and down on demand. In this series of three blog posts, I’ll use that approach heavily!

These posts use SAM (Serverless Application Model) templates, so anyone with some familiarity with AWS should be able to spin them up in a few minutes. If you use GCP or Azure, these templates should give you some ideas on building something similar using corresponding resources in those platforms.

Throughout everything, the blog posts and code make recommendations on best practices so you can get the most out of the SendGrid Email API.

Three part SendGrid Microservices blog posts:

  1. Serverless Microservice for Sending Emails using SendGrid Email API
  2. Serverless Microservice for handling SendGrid Event Webhooks
  3. Serverless Microservice for handling SendGrid Inbound Parse

Each blog has the content on the post, a companion video, and heavily-commented code! All three of these resources are valuable and provide different insights into the solutions. Be sure to check out all three. But for this post, I’ll show you a serverless microservice architecture to send emails using the SendGrid API.

Part 1: Serverless Microservice for Sending Emails using SendGrid Email API

Learning by video can be effective. You can watch the video before proceeding or come back to it later!

Here is the architecture we are going to spin up:

Send email microservice on AWS with SendGrid

Let’s walk through the flow starting from the top left.

A. Enterprise Applications

You likely have multiple use cases that leverage email and multiple applications that need to trigger “email events” (a fancy way of saying “send an email to someone”).

Email events can be transactional or promotional. If you design things correctly, you can also use the Email API to orchestrate email “blasts” with your promotional content. Sending your emails through a consistent process flow will give your organization better control and visibility.

B. Process the Event

Lambda function is triggered by an object loaded into the S3 Bucket or published to the SNS Topic. The Lambda generates a unique ID for this request so emails can be traced back to the originating request. Next, the Lambda parses the object and adds any additional configurations. For example, this step can automatically or programmatically add custom arguments, categories, a bcc (for archival purposes), or anything required to standardize your sending flow. Once properly configured, the new object is saved into the /requests folder in the S3 bucket.

A key to a successful SendGrid implementation is making sure that you are tracking all relevant  data points. This “process event” step is where you can inject and format data before you make the API call to SendGrid. This will allow you to receive that same data back to track email events (opens, clicks, delivered, spam, etc.).

It is important to note that saving all requests into this S3 bucket before they are sent to SendGrid is an efficient (and cost effective) way to save a record of all of your outbound emails. While these are not copies of the emails, they do contain all of the relevant details. This could address keeping records for compliance or archival purposes. You can easily configure S3 Lifecycle Policies to delete any object (uploads, requests, and responses) saved to this S3 bucket after a defined period of time.

C. Make the API Call

The send-email Lambda function is triggered by the JSON object loaded into the /requests folder of the S3 bucket. This Lambda opens the object, injects a timestamp for additional tracking purposes, and then executes the API call to SendGrid.

4. Handle the Response

The API call will return a response which can also be saved to S3 or sent to an SNS topic for additional processing. Every successful response from SendGrid contains an x-message-id which will help identify any events generated by the email (open, click, unsubscribe, delivered). With the unique ID generated in step 2 to identify the request and this x-message-id to identify the actual email, you now have everything you need to track and analyze your emails!

If you have read this far, then I think you are ready to see how you can spin this up yourself!

Let’s get started…

AWS Resources

All of the AWS components of the serverless application are provided as "Infrastructure as Code" (oft-shortened to IaC) and deployed via CloudFormation into AWS. Here is an overview of the components:

  • AWS SAM => an open-source framework that enables you to build serverless applications on AWS
  • AWS CLI => the command line interface for AWS. It’s not required, but recommended because it simplifies credentials when deploying
  • AWS Lambda => serverless compute service
  • S3 => Object Storage
  • SQS => Simple Queue Service
  • SNS => Simple Notification Service

Prerequisites

This is not a beginner level build! You should have some knowledge of AWS, serverless computing, and programming.

Let’s Build it!

Here are the basic steps of our build today:

  1. Download the code
  2. Get and set your SendGrid Account API Key ID and API Key
  3. Deploy the stack
  4. Try it out!

1. Download the Code for this Application

Download the code from this repo, and then open up the folder in your preferred development environment.

Repo code for AWS microservice to send SendGrid emails

The repo contains all you need to spin up an AWS CloudFormation stack.

First we need to install a couple of node packages. From the parent directory, cd into the  two directories listed below and install the packages. Here are the commands:

$ cd layers/layer-sendgrid/nodejs 
$ npm install
$ cd ../../layer-nanoid/nodejs 
$ npm install
$ cd ../../..

The first part of the command should look like this:

Command results in SendGrid microservice

Now we are ready to enter our SendGrid credentials…

2. Enter your SendGrid Account Credentials

Open up the file template.yaml in the parent directory. This yaml file contains the instructions needed to provision the AWS resources.

In order to make an API call to SendGrid, you’ll need an API key with the proper “Mail Send” privileges. If you haven’t done so already, create a new API key and copy both the API Key ID and the actual API Key. This template lays the foundation to be able to use multiple API Keys AND it is best practice to include the API Key ID in your calls for reporting purposes.

Here is a view of my API Keys page in my SendGrid console:

SendGrid API Keys

In your template.yaml file, use a FIND function to search for SENDGRID_API_KEY_ID.  The block of yaml code will look like this:

SendGrid API Key yaml

Replace <YOUR-TEST-SENDGRID-API-KEY-ID> with your SendGrid API Key ID. Please note, as indicated in the comments, that entering for anything other than a quick proof of concept, use AWS Parameter Stores or Secrets Manager to store your credentials.

Next, use a FIND function to search for YOUR-TEST-SENDGRID-API-KEY. That block of yaml code will look like this:

Find the key in yaml

As above, swap in your API Key value.

Lastly, this AWS stack includes an “Alarm” topic that can send notifications out when certain errors occur. For example, if an API request is malformed, an error would be generated. You can optionally enter an email address to receive these error alerts. Use FIND and search for some-domain.com to reveal this block of yaml code:

Entering email in yaml

You can uncomment the last three lines and then swap in the desired email address.

3. Deploy Code

With those settings in place, we are ready to deploy! From a terminal window, go into the parent directory and run:

$ sam build 

This command goes through the yaml file template.yaml and prepares the stack to be deployed.

In order to deploy the SAM application, you need to be sure that you have the proper AWS credentials configured. Having the AWS CLI also installed makes it easier, but here are some instructions.

Once you have authenticated into your AWS account, you can run:

$ sam deploy --guided --stack-name SendGridOutboundEmailMicroservice

This will start an interactive command prompt session to set basic configurations and then deploy all of your resources via a stack in CloudFormation. Here are the answers to enter after running that command (except, substitute your AWS Region of choice):

Configuring SAM deploy
======================

Looking for config file [samconfig.toml] :  Not found

Setting default arguments for 'sam deploy'
=========================================
Stack Name [sam-app]: SendGridOutboundEmailMicroservice
AWS Region [us-east-1]: <ENTER-YOUR-AWS-REGION-OF-CHOICE>
#Shows you resources changes to be deployed and require a 'Y' to initiate deploy
Confirm changes before deploy [y/N]: y
#SAM needs permission to be able to create roles to connect to the resources in your template
Allow SAM CLI IAM role creation [Y/n]: y
Disable rollback [y/N]: N
Save arguments to configuration file [Y/n]: y
SAM configuration file [samconfig.toml]: 
SAM configuration environment [default]:     

After answering the last questions, SAM will create a changeset that lists all of the resources that will be deployed. Answer “y” to the last question to have AWS actually start to create the resources.

Previewing CloudFormation changeset before deployment
======================================================
Deploy this changeset? [y/N]: 

The SAM command prompt will let you know when it has finished deploying all of the resources. You can then go to your AWS Console and CloudFormation and browse through the new stack you just created. All of the Lambdas, Lambda Layers, S3 buckets, IAM Roles, SQS queues, SNS topics are all created automatically. (IaC – Infrastructure as Code – is awesome!)

Filter for the Stack in AWS

Also note that the first time you run the deploy command, SAM will create a samconfig.toml file to save your answers for subsequent deployments. After you deploy the first time, you can drop the --guided parameter of sam deploy for future deployments.

4. Send Some Emails!

As shown in the architecture diagram, this system receives email “events” from your internal applications. These events need to be properly formatted JSON objects and they can be either loaded into S3 or published to SNS (Simple Notification Service).

We can use SNS to send out some test emails. From your AWS Console, go to SNS and then click on the TOPICS link or tab on that page, and then select the SNS Topic that starts with SendGridOutboundEmailMicroservice-TwilioSendGridEmailEventTopic. Going through the AWS Console like this is mimicking how your enterprise applications can publish email events!

You can then click the button that says PUBLISH MESSAGE.

Publish the message to send a SendGrid email from Amazon SNS

Back in the code base, open the directory called “sample-email-json/” and open the file simple-single.json. Copy the JSON and paste it into the Message body textarea back in SNS. It should look like this:

Message body in SNS

Swap out a new email address for the “to” field and enter one of your verified sender email addresses in the “from” field and then click PUBLISH MESSAGE!

Initiate with S3 Instead

If you want to initiate the send flow using S3 instead of SNS, go into your S3 bucket and create a folder called uploads. You then need to upload a JSON file to that bucket to initiate the flow.

6. See the results…

First and foremost, you should have received an email:

Received email in GMail

That is straightforward enough, but let’s dig deeper. Go to S3 in your AWS Console and open up the bucket that starts with twilio-sendgrid-outbound-emails-. You will see folders for “requests” and “responses”.

Objects in AWS

As you would expect, “requests” hold all of the json objects before they are sent to SendGrid, and “responses” hold the replies back from SendGrid. We will look at the requests first.

In the requests folder, you will see a single JSON object that is labeled with the request ID generated by this stack. All requests sent using this system will have an object saved to this folder.

Opening up a request, we can see that all of the information used to make the API call is stored in the JSON object:

API call stored in the SNS object

A few things to point out:

  • This object contains all of the data and details in the outbound email and could satisfy the enterprise requirement to keep copies of outbound messages.
  • Note that customArgs include the key:value pairs from the email event published in the step above plus additional key:value pairs. CustomArgs are the best way to add tracking data into your emails. Be sure to review the lambda file process-email-event to explore what you can add into your email api calls and how to do it! All customArgs will be included in Event Webhooks!
  • You can, and should, include categories as well!
  • The requestId is generated by this system and ties Event Webhook back to this specific request.

Now let’s look at the response back from SendGrid. Go into the responses/ folder in the bucket and open the JSON file.

JSON file in responses bucket

There is nothing too exciting about this 202 response except for the x-message-id! That id will be included in Event Webhooks so it makes sense to take note of this id (save it) and connect it to the request (and the user/campaign/case/whatever).

In addition to saving the response to the S3 bucket, the API response is ALSO sent to the SNS topic for additional processing. What additional processing could you do?

  • Error handling: If any response is not a 202 success, handle it appropriately.
  • Store the x-message-id in your database linking it to the request.
  • Saving sending statistics for metrics, reporting, or dashboards,

Bulk Email Sending

Many enterprises want to send email “blasts” to many of their customers. Can this system be used for this purpose?

Certainly. The SendGrid API can handle a tremendous amount of outbound emails and can help you scale to whatever throughput you require. You can build your enterprise system to send under these specifications by properly formatting the JSON objects sent into this flow. You could potentially put a queue in between the enterprise applications submitting email “events” if you wish to control throughput before entering this process.

This microservice for calling the SendGrid Email API should give you the theoretical and practical foundation to build a system to send your emails at scale.

Cleanup

To avoid any undesired costs, you can delete the application that you created using the AWS CLI and the console.  

First, delete the S3 buckets. From the S3 “home” page, first empty the buckets by selecting the bucket and then select the EMPTY option. Next, delete the actual bucket by selecting the bucket and then the DELETE button.

Next, delete the stack from CloudFormation in the AWS console. Select the DELETE STACK option. AWS SAM also creates a stack and an S3 bucket to manage deployments. You can delete them from CloudFormation in the AWS console following the same procedure as above.

Deploy to production

While you can get this system working pretty quickly, it is not ready for your production environment.

If you bring this microservice to production, you’ll need to make some changes. Be sure to customize and refine this codebase for your needs, thoroughly test your version of this system in your environment, and configure tests, error handling, and anything else required by your development standards.

Conclusion

In short order you have the foundation for a serverless microservice for sending outbound email “events” to SendGrid’s API!

The code is heavily-commented in the repo. Dive in and see how you can configure your enterprise systems to leverage this event-based microservice AND how you can use SendGrid’s robust tracking capabilities to get a much better sense of what you are sending and how your users are engaging with your emails.

Speaking of engaging with your emails, be sure to check out parts 2 and part 3 of this blog series to learn about SendGrid Event Webhooks AND Inbound Parse!

***

Dan Bartlett has been building web applications since the first dotcom wave. The core principles from those days remain the same but these days you can build cooler things faster. He can be reached at dbartlett [at] twilio.com.