I am developing an email client that uses SMTP server from my customers. I stock the credentials in an AWS RDS database. Customers are able to create mail campaigns, and email have to be sent asynchronously after the campagin creation.
I want to configure a SQS queue to make messages available with a delay of 2 minutes between each message. The purpose is to send the message to a Lambda function able to send the message through SMTP (using the credentials in the database). Thanks to this delay between messages, I can optimize the delivery of the emails. The order of the delivery is not really important.
Unfortunately, I do not find a way to do that. The timers available in SQS are for the entire Queue, or have to be specific for each message. In my case, if i put 100 messages in the SQS queue, I need the first one to be sent immediately, the second 2 minutes after and so on.
Does someone has solutions with this issue ? If SQS is not the right service to manage this need, is there another one available on the AWS platform ?
We can probably achieve this combination of lambda event source mapping config for sqs and lambda reserved concurrency setting.
Event source Mapping Batch size: 1
This will allow only 1 message to be sent to Lambda at once.
Event source Mapping Batch window: 2 mins
This will allow lambda to be invoked only once every 2 minutes.
Lambda Reserved Concurrency as 1
This will allow only one lambda thread to be called at once.
Thanks #luk2302 for your answer, it is the good one accordingly to the AWS support team. Using the EventBridge service to trigger the lambda at define timing works perfectly.
Related
I'm using AWS lambda to build my web app (next.js) and I'm successfully sending email using AWS SES.
I set a CloudWatch event to run every day, that runs a lambda function that sends personal email to some of the users.
The problem is that lambda has running time limit of max 30sec so I can't use it to send emails to a lot of users.
What can I do to solve this issue?
After looking in the CloudWatch logs, I saw it took ~5sec to complete this lambda for ONE user.
So, I'm guessing it will not handle 100 users or more.
At first, it is strange that sending an email takes 5 seconds unless there is a heavy data preparation to format each email.
As for the lambda timeout, to have a scalable design, I recommend that you make lambda A --> SQS ---> lambda B.
Lambda A just writes messages to sqs (recipient's email, template name, whatever necessary info to format the email). Please note that you can write a batch of messages (10 messages) to SQS.. based on one of my previous implementations, it is easy to write 5000+ sqs messages in 30 sec. You can set a longer time up to 15 minutes if lambda is not behind an API.
lambda B will be triggered by SQS to format the email and send it to SES. You can set batch size and sqs config the best suits your design and quota. This way, you can always send emails regardless of the volume as long as quotas of AWS Account allows. Please note that you can also introduce a random delay to each message written to SQS to make sure the limit of SES is not violated (14/sec <== can be raised easily).
you may consider a better design too based on your app architecture :)
I have a requirement to send email and SMS based on some conditions to users, i want to publish a message to AWS (Any service) with time and message at the time of user creation, is there any way to call a lambda function based on my scheduled time along with message?
Sounds like what you are saying is that you want to store a message and a 'time to send' someplace and then when that time comes, send out that message via SMS and/or SES, correct?
Lots of ways to accomplish it, but one way would be to store your messages into the database of your choice (perhaps dynamodb), and have a lambda function that gets called periodically (every minute or whatever frequency you determine) to find messages that are ready to send.
In this scenario you could use cloudwatch events to call the lambda function at the interval you decide (but no more frequent than once per minute).
Possible enhancement (especially if you have a huge number events) would be to have the lambda function not actually process the sms/ses sends - but just find those messages that are ready to send - and post those messages to an SNS topic and have a different lambda function that takes care of the actual processing (sending) of those messages.
You can use CloudWatch scheduled events for this. It allows you to specify cron expression. The event itself can trigger your lambda that then checks any preconditions you might have and then sends notification via SNS or some other way.
I have a use case where I need Amazon SNS to send a notification until my application (let's call it APP) has successfully received it, but the documentation says that the maximum lifetime of a message can be 1 hour.
Let's say that the APP crashes and it's not possible to get it live in 1 hour. I still need to somehow receive these messages.
There are multiple ways to implement it:
APP polls from SQS. I do not like this option because it produces too much network traffic between APP and AWS.
SNS sends a notification to both: APP and SQS. If APP is able to receive the message it will instantly remove it from the SQS. If the APP is not able to receive the message (crashed), it can load the messages from SQS on startup and clean the queue.
AWS Lambda code as messaging service. If Lambda code fails it can push the message to SQS Dead Letter Queue, otherwise keeps the queue clean. Handling Lamba code updates is too much overhead, would be cool to solve this problem with pure AWS if possible.
The perfect solution would be to set endless timeout for SNS message, but looks like Amazon does not support it.
What do you think is the best solution to solve this problem? Have I missed something?
One option might be to have SNS deliver messages to a Lambda that calls your app. If the Lambda can't deliver the message to your app then fail so that SNS will retry the Lambda. You can then configure your Lambda with a dead letter queue (SQS) so that if it fails too many times the message will go onto the queue. Finally you can have another Lambda running on a schedule that checks the dead letter queue and retries the Lambda invocation. It would just keep putting the message back onto the dead letter queue if it fails.
This way if your app is available the message would be delivered immediately. If the app isn't available then it would retry delivery later.
I believe the easiest solution for you is to set up an SNS dead-letter queue to the SNS subscription that delivers messages to the App. More information:
https://aws.amazon.com/blogs/compute/designing-durable-serverless-apps-with-dlqs-for-amazon-sns-amazon-sqs-aws-lambda/
I have the following infrastructure:
I have an EC2 instance with a NodeJS+Express process listening on a port for messages (process 1). Every time the process receives a message it sends it to an SQS queue. Then I have another process in the same machine reading the queue using long polling (process 2). When it finds a message in the queue it inserts the data in a MariaDB database sitting on an RDS instance.
(Just to clarify, messages are generated by users, they send a chunk of data which can contain arbitrary information to the endpoint where the process 1 is listening)
Now I want to put the process that reads the SQS (process 2) in a Lambda function so that the process that writes to the queue and the one that reads from the queue are completely independent. The problem is that I don't know if this is possible.
I know that Lambda function are invoked in response to an event, and the events supported at the moment are S3, SNS, SES, DynamoDB, Kinesis, Cognito, CloudWatch and Cloudformation but NOT SQS.
I was thinking in using SNS notifications to invoke the Lambda function so that every time a message is pushed to the queue, an SNS notification is fired and invokes the Lambda function but after playing a bit with it I've realised that is not possible to create an SNS notification from SQS, it's only possible to write SNS notifications to the queue.
Right now I'm a bit stuck because I don't know how to continue. I have the feeling that is not possible to create this infrastructure due to the current limitations in the AWS services. Is there another way to do what I want or am I in a dead-end?
Just to extend my question with some research I've made, this github repo shows how to read an SQS queu from a Lambda function but the lambda function works only if is fired from the command line:
https://github.com/robinjmurphy/sqs-to-lambda
In the readme, the author mentions the following:
Update: Lambda now supports SNS notifications as an event source,
which makes this hack entirely unneccessary for SNS notifcations. You
might still find it useful if you like the idea of using a Lambda
function to process jobs on an SQS queue.
But I think this doesn't solve my problem, an SNS notification can invoke the Lambda function but I don't see how I can create a notification when a message is received in the SQS queue.
Thanks
There are couple of Strategies which can be used to connect the dots, (A)Synchronously or Run-Sleep-Run to keep the data process flow between SNS, SQS, Lambda.
Strategy 1 : Have a Lambda function listen to SNS and process it in real time [Please note that an SQS Queue can subscribe to an SNS Topic - which would may be helpful for logging / auditing / retry handling]
Strategy 2 : Given that you are getting data sourced to SQS Queue. You can try with 2 Lambda Functions [Feeder & Worker].
Feeder would be scheduled lambda function whose job is to take items
from SQS (if any) and push it as an SNS topic (and continue doing it forever)
Worker would be linked to listen the SNS topic which would do the actual data processing
We can now use SQS messages to trigger AWS Lambda Functions. Moreover, no longer required to run a message polling service or create an SQS to SNS mapping.
Further details:
https://aws.amazon.com/blogs/aws/aws-lambda-adds-amazon-simple-queue-service-to-supported-event-sources/
AWS SQS is one of the oldest products of Amazon, which only supported polling (long and short) up until June 2018. As mentioned in this answer, AWS SQS now supports the feature of triggering lambda functions on new message arrival in SQS. A complete tutorial for this is provided in this document.
I used to tackle this problem using different mechanisms, and given below are some approaches you can use.
You can develop a simple polling application in Lambda, and use AWS CloudWatch to invoke it every 5 mins or so. You can make this near real-time by using CloudWatch events to invoke lambda with short downtimes. Use this tutorial or this tutorial for this purpose. (This could cost more on Lambdas)
You can consider that SQS is redundant if you don't need to persist the messages nor guarantee the order of delivery. You can use AWS SNS (Simple Notification Service) to directly invoke a lambda function and do whatever the processing required. Use this tutorial for this purpose. This will happen in real-time. But the main drawback is the number of lambdas that can be initiated per region at a given time. Please read this and understand the limitation before following this approach. Nevertheless AWS SNS Guarantees the order of delivery. Also SNS can directly call an HTTP endpoint and store the message in your DB.
I had a similar situation (and now have a working solution deploed). I have addressed it in a following manner:
i.e. publishing events to SNS; which then get fanned-out to Lambda and SQS.
NOTE: This is not applicable to the events that have to be processed in a certain order.
That there are some gotchas (w/ possible solutions) such as:
racing condition: lambda might get invoked before messages is deposited into the queue
distributed nature of SQS queue may lead to returning no messages even though there is a message note1.
The solution to both cases would be to do long-polling of SQS queue; but this does make your lambda bill more expensive.
note1
Short poll is the default behavior where a weighted random set of machines is sampled on a ReceiveMessage call. This means only the messages on the sampled machines are returned. If the number of messages in the queue is small (less than 1000), it is likely you will get fewer messages than you requested per ReceiveMessage call. If the number of messages in the queue is extremely small, you might not receive any messages in a particular ReceiveMessage response; in which case you should repeat the request.
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_ReceiveMessage.html
We had some similar requirements so we ended up building a library and open sourcing it to help with SQS to Lambda async. I'm not sure if this fills your particular set of requirements, but thought it might be worth a look: https://read.iopipe.com/sqs-lambda-teaming-up-92c4096be49c
My system run on an Amazon autoscaling group and one feature allows user to user messaging and I have the following use case to resolve.
A new message is sent in my application between users.
A message to notify the the user by e-mail is dropped into a queue with a 60 second delay. This delay allows time for a realtime chat client (faye/angularjs) to see the message and mark it as viewed.
After the delay the message is picked up, the "read" status is checked and if it has not been read by the client an e-mail is dispatched.
Originally I was going to use a cronjob on each application server poll the message queue however it occurs to me it would be more efficient to use SNS to call some kind of e-mail sending endpoint (perhaps in Lambda).
I can't see any way to have SNS poll SQS however, can anybody suggest how this could be done? Essentially I want SNS with a delay so that I don't spam somebody in a "live" chat with e-mail alerts.
Thanks
Unfortunately this is not yet available out of the box. The missing part is the generation of Amazon SNS notifications on message arrival/visibility by an Amazon SQS queue, be it via push (similar to Amazon S3 notifications, or via poll similar to Amazon Kinesis subscriptions (see The Pull/Push Event Models for more on the difference), which would both allow to directly connect an AWS Lambda function to the resp. SQS delay queue events, see e.g.:
Lambda with SQS
That being said, you can work around this limitations in a few ways, for example:
trigger your Lambda function on schedule (e.g. once per minute), and poll your SQS delay queue from there
scheduled Lambda functions are an eagerly awaited missing Lambda feature in turn, but it is more easily worked around, be it either by a cron job of yours, or Eric Hammond's Unreliable Town Clock (UTC) for example
The AWS Lambda team has delivered many/most similar feature requests over recent month' btw., so I would expect them to offer both SQS event handling and scheduled Lambda functions over the course of the year still.
In early 2019, this problem can be solved in a few different ways:
SQS as an Event Source to Lambda (finally announced 2018-06-28),
similar to the OP's original design.
AWS Step Functions (announced 2016-12-01), using a wait step for
the delay.
DynamoDB Streams with Lambda triggers (announced 2017-02-17),
using TTL expiration on items to fire the Lambda trigger.
As SNS has a topic limit of 100,000 per account, I would recommend using Amazon SES to send the emails (62,000 free emails/month could help with implementation cost decisions).