SQSD

A simple alternative to the Amazon SQS Daemon ("sqsd") used on AWS Beanstalk worker tier instances. Inspired by https://github.com/mozart-analytics/sqsd, rewriten for Node.js.

Architecture Diagram

AWS Beanstalk provides a simple to use Worker Environment Tier (more info) that greatly streamlines the deployment of passive worker microservices for background or async processing.

(diagram by AWS - available here)

Description

As the included diagram portrays, in a common workflow, the worker instance will consume messages sent to a specified Amazon SQS from another service (e.g.: a web server or another worker). These messages will be received by the worker via POST requests. This eliminates the necessity of configuring a worker as an always-on service, as well as having to add code for reading and consuming messages from an AWS SQS queue. In other words, the worker is implemented as a standard RESTful API/Service that will react to a message sent to it at an specific endpoint via a POST request. This is an awesome approach by Amazon to microservices and reactive design.

The conversion of the SQS message to a POST request is executed by what AWS calls the "SQS Daemon" or "Sqsd". This is a simple daemon they pre-install in the worker tier instances that is constantly monitoring an specific AWS SQS queue (provided by configuration) for new messages. When new messages arrive, it constructs a POST request and sends it to a specific endpoint (also provided via configuration). If the endpoint consumes it without errors and returns a 2** HTTP Code in its response, the "Sqsd" deletes the message from the queue to signal that its consumption was successful.

However, even though this approach is extremely powerful, Amazon does not provide the code of this daemon as open source. Therefore, we have reproduced its behavior by creating our own version of the "Sqsd" free for everyone to use. Moreover, we have provided lots of customization and configuration properties so that it can be molded to your specific use cases.

But even more important! We have "dockerized" it so that you can use it as a Docker container along your worker (even link it to it). This makes this microserviced worker approach even more powerful as it can be easily pre-configured and pre-packaged to be deployed automatically along your services using your favorite Docker orchestration frameworks or even the recently announced Amazon EC2 Container Service.

Following are detailed instructions of configuration and usage with and without Docker. Any changes, suggestions or Forks are welcome!

Technologies / Environments Used

• Node.js 4+
• AWS Node SDK 2.2.26+

Usage

Running / Executing

Local development

To execute the program, clone down the repository, navigate to it with a terminal and run npm start

As global command-line tool

To run as global command-line tool, you can either install globally from NPM or clone down the repository and run npm link to link it to your global node_modules directory.

# Global Install
:~: $ npm install sqsd -g
:~: $ sqsd --help

# Link from terminal
:~: $ cd /Workspace/sqsd
:~/Workspace/sqsd: $ npm link
:~/Workspace/sqsd: $ sqsd --help

Configuration

There are 2 ways to configure the sqsd's properties: Environment Variables or command-line arguments. You must set one of the two options.

Using Environment Variables

Environment Variables are loaded from an .env file using the dotenv module.

When the program is run, it will automatically look for an .env file in the directory the program is executed from.

If you want to specify your own file, use the --env command-line argument

:~: $ sqsd --env path/to/env/file

Using Command-Line arguments

You can also specify properties using command-line flags. See the Options table below for the full list of command-line arguments.

Run the program with the --help flag to see the full list of accepted arguments.

:~: $ sqsd --help

Options

Command-Line Argument	Environmet Variable	Default	Required	Description
--access-key-id	AWS_ACCESS_KEY_ID	-	no	Your AWS Access Key.
--secret-access-key	AWS_SECRET_ACCESS_KEY	-	no	Your AWS secret access secret.
-r, --region	SQSD_QUEUE_REGION_NAME or AWS_DEFAULT_REGION	us-east-1	no	The region name of the AWS SQS queue
-q, --queue-url	SQSD_QUEUE_URL	-	yes	Your queue URL.
-m, --max-messages	SQSD_MAX_MESSAGES_PER_REQUEST	10 (max: 10)	no	Max number of messages to retrieve per request.
-d, --daemonized	SQSD_RUN_DAEMONIZED	0	no	Whether to continue running with empty queue (0,no,false is no, 1,yes,true is yes)
-s, --sleep	SQSD_SLEEP_SECONDS	0	no	Number of seconds to wait after polling empty queue when daemonized
--wait-time	SQSD_WAIT_TIME_SECONDS	20 (max: 20)	no	Long polling wait time when querying the queue.
-w, --web-hook	SQSD_WORKER_HTTP_URL	-	yes	Web url address to your service.
--content-type	SQSD_WORKER_HTTP_REQUEST_CONTENT_TYPE	application/json	no	Message MIME Type.
--concurrency	SQSD_WORKER_CONCURRENCY	3	no	Number of concurrent http request to worker service
-t, --timeout	SQSD_WORKER_TIMEOUT	60000	no	Timeout for waiting response from worker, ms
--worker-health-url	SQSD_WORKER_HEALTH_URL	-	no	Url for checking that worker is running, useful when running in linked containers and worker needs some time to up.
--worker-health-wait-time	SQSD_WORKER_HEALTH_WAIT_TIME	10000	no	Timeout for waiting while worker become health, ms

Using Docker (with service/worker hosted outside this container)

Use this run configuration when your worker is running in another container or in a remote server.

cd /your/sqsd/local/path
docker build -t someImageName .
docker run -e -e SQSD_WORKER_HTTP_URL=http://someRemoteHost/someRemotePath someImageName

**Remember that if you are running your worker on your Docker host's instance, you cannot use localhost as the worker host path since the localhost in this case will be the container's address, not your host's. Use linked containers instead