How to convert Linux cron jobs to “the Amazon way”

Question

For better or worse, we have migrated our whole LAMP web application from dedicated machines to the cloud (Amazon EC2 machines). It's going great so far but the way we do crons is sub-optimal. I have a Amazon-specific question about how to best manage cron jobs in the cloud using "the Amazon way".

The problem: We have multiple webservers, and need to run crons for batch jobs such as creating RSS feeds, triggering emails, many different things actually. BUT the cron jobs need to only run on one machine because they often write to the database so would duplicate the results if run on multiple machines.

So far, we designated one of the webservers as the "master-webserver" and it has a few "special" tasks that the other webservers don't have. The trade-off for cloud computing is reliability - we don't want a "master-webserver" because it's a single point of failure. We want them to all be identical and to be able to upscale and downscale without remembering not to take the master-webserver out of the cluster.

How can we redesign our application to convert Linux cron jobs into transitory work items that don't have a single point of failure?

My ideas so far:

• Have a machine dedicated to only running crons. This would be a little more manageable but would still be a single-point-of-failure, and would waste some money having an extra instance.
• Some jobs could conceivably be moved from Linux crons to MySQL Events however I'm not a big fan of this idea as I don't want to put application logic into the database layer.
• Perhaps we can run all crons on all machines but change our cron scripts so they all start with a bit of logic that implements a locking mechanism so only one server actually takes action and the others just skip. I'm not a fan of this idea as it sounds potentially buggy and I would prefer to use a Amazon best-practice rather than rolling our own.
• I'm imagining a situation where jobs are scheduled somewhere, added to a queue and then the webservers could each be a worker, that can say "hey, I'll take this one". Amazon Simple Workflow Service sounds exactly this kind of thing but I don't currently know much about it so any specifics would be helpful. It seems kind of heavy-weight for something as simple as a cron? Is it the right service or is there a more suitable Amazon service?

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Update: Since asking the question I have watched the Amazon Simple Workflow Service webinar on YouTube and noticed at 34:40 (http://www.youtube.com/watch?v=lBUQiek8Jqk#t=34m40s) I caught a glimpse of a slide mentioning cron jobs as a sample application. In their documentation page, "AWS Flow Framework samples for Amazon SWF", Amazon say they have sample code for crons:

... > Cron jobs In this sample, a long running workflow periodically executes an activity. The ability to continue executions as new executions so that an execution can run for very extended periods of time is demonstrated. ...

I downloaded the AWS SDK for Java (http://aws.amazon.com/sdkforjava/) and sure enough buried within a ridiculous layers of folders there is some java code (aws-java-sdk-1.3.6/samples/AwsFlowFramework/src/com/amazonaws/services/simpleworkflow/flow/examples/periodicworkflow).

The problem is, if I'm honest, this doesn't really help as it's not something I can easily digest with my skillset. The same sample is missing from the PHP SDK and there doesn't seem to be a tutorial that walks though the process. So basically, I'm still hunting for advice or tips.

Answer 1

I came across this question for the third time now and thought I'd chip in. We've had this dilemma for a while now. I still really feel AWS is missing a feature here.

In our case, after looking at the possible solutions, we decided we had two options:

• Set up a cronjob server which runs the jobs that should only be run once at a time, auto scale it and make sure it's replaced when certain CloudWatch stats aren't what they should be. We use cloud-init scripts to get the cronjobs running. Of course, this comes with a downtime, leading to missed cronjobs (when running certain tasks every minute, like we do).
• Use the logic that rcron uses. Of course, the magic is not really in rcron itself, it's in the logic you use to detect a failing node (we use keepalived here) and "upgrade" another node to master.

We decided to go with the second option, simply because it's brilliantly fast and we already had experience with webservers running these cronjobs (in our pre-AWS era).

Of course, this solution is meant specifically for replacing the traditional one-node cronjob approach, where timing is the deciding factor (e.g. "I want job A to run once daily at 5 AM", or like in our case "I want job B to run once every minute"). If you use cronjobs to trigger batch-processing logic, you should really take a look at SQS. There's no active-passive dilemma, meaning you can use a single server or an entire workforce to process your queue. I'd also suggest looking at SWF for scaling your workforce (although auto scaling might be able to do the trick as well in most cases).

Depending on another third party was something we wanted to avoid.

Answer 2

I think this video answers your exact question - cronjobs the aws way (scalable and fault tolerant):

Using Cron in the Cloud with Amazon Simple Workflow

The video describes the SWF service using the specific use case of implementing cronjobs.

The relative complexity of the solution can be hard to swallow if you are coming straight from a crontab. There is a case study at the end that helped me understand what that extra complexity buys you. I would suggest watching the case study and considering your requirements for scalability and fault tolerance to decide whether you should migrate from your existing crontab solution.

Answer 3

Be careful with using SQS for cronjobs, as they don't guarantee that only "one job is seen by only one machine". They guarantee that "at least one" will got the message.

From: http://aws.amazon.com/sqs/faqs/#How_many_times_will_I_receive_each_message

Q: How many times will I receive each message?

Amazon SQS is engineered to provide “at least once” delivery of all messages in its queues. Although most of the time each message will be delivered to your application exactly once, you should design your system so that processing a message more than once does not create any errors or inconsistencies.

So far I can think about the solution where you have one instance with Gearman Job Server instance installed: http://gearman.org/. On the same machine you configure cron jobs that are producing command to execute your cronjob task in background. Then one of your web servers (workers) will start executing this task, it guarantees that only one will take it. It doesn't matter how many workers you have (especially when you are using auto scaling).

The problems with this solution are:

• Gearman server is single point of failure, unless you configure it with distributed storage, for example using memcached or some database
• Then using multiple Gearman servers you have to select one that creates task via cronjob, so again we are back to the same problem. But if you can live with this kind of single point of failure using Gearman looks like quite good solution. Especially that you don't need big instance for that (micro instance in our case is enough).

Answer 4

Amazon has just released new features for Elastic Beanstalk. From the docs:

AWS Elastic Beanstalk supports periodic tasks for worker environment
tiers in environments running a predefined configuration with a solution stack that contains "v1.2.0" in the container name. "

You can now create an environment containing a cron.yaml file that configures scheduling tasks:

version: 1
cron:
- name: "backup-job"          # required - unique across all entries in this file
  url: "/backup"              # required - does not need to be unique
  schedule: "0 */12 * * *"    # required - does not need to be unique
- name: "audit"
  url: "/audit"
   schedule: "0 23 * * *"

I would imagine the insurance of running it only once in an autoscaled environment is utilized via the message queue (SQS). When the cron daemon triggers an event it puts that call in the SQS queue and the message in the queue is only evaluated once. The docs say that execution might be delayed if SQS has many messages to process.

Answer 5

Why would you build your own? Why not use something like Quartz (with Clustered Scheduling). See documentation.

http://quartz-scheduler.org/documentation/quartz-2.x/configuration/ConfigJDBCJobStoreClustering

Answer 6

Since no one has mentioned CloudWatch Event, I'd say that it's the AWS way of doing cron jobs. It can run many actions, such as Lambda function, ECS task.