Can anybody explain the difference between Azure Web Jobs and Azure Scheduler
Azure Web Jobs
Only available on Azure Websites
It is used to run code at particular intervals. E.g. a console application every day
Used to trigger and run workloads.
Mainly recommended for workloads that either scale with the website or are relatively small.
Can be persistently running if "Always On" selected, otherwise you will get the 20 min timeout.
The code that needs to be run and schedule are defined together.
Azure Scheduler
Is not tied to Websites or Cloud Services
It allows you to call a website or add a message to a storage queue
Used for triggering events or triggering small workloads (e.g. add to queue), usually to trigger larger workloads
Mainly recommended for triggering more complex workloads.
This is only a trigger, and a separate function listening to trigger events (e.g. queue's) needs to be coded separately.
For many instances I prefer to use the scheduler to push to a storage queue and a worker role on each instance takes off the queue. This keeps tasks controlled granularly and can also move up or down in scale outside of your website.
With WebJobs they scale up and down with your site and hence your background tasks can become over taxed if your website is experiencing low traffic and scaled down.
Azure Scheduler - Provides a way to easily schedule http calls in a well-defined schedule, like every hour, every Friday at 9:00 am, Once a day, ...
Azure WebJobs - Provides a way to run small to medium work load (in the form of a script: .exe, .cmd, .sh, .js, ...) at the same context of an Azure Website (but can be hosted even with an empty website).
While a WebJob can run continuously (with a process that has a while loop) and Azure will make sure this WebJob is always running (with "Always On" set).
There is also an integration between Azure scheduler and Azure WebJobs where you have a WebJob that is running some finite work and the schduler is responsible for scheduling this work (invoking the WebJob).
So in summary, the scheduler is about scheduling work and WebJobs is about running work load.
Related
I have this .NET long running API process/function that usually runs 30 mins in one execution that is hosted in AKS. This API is usually executed from the users coming from the front end of the app.
Due to concurrent executions from users, this is causing exhaustion of the app so I'm planning to implement a some sort of a queueing mechanism with the help of a scheduler(s).
What possibly is applicable Azure service that can execute my API in AKS on a scheduled basis (let's say every minute) and possibly check the database for some flagging values.
I need a way to check the table for some flagging value if there a currently running process or its been completed so it can process the next one, otherwise ignore the call until current on is complete.
I was looking into Azure Web Apps, Web Jobs or Batch Jobs but kinda confused which is applicable with my case.
Please advise thank you in advance.
There are a couple of options here.
Hangfire
Hangfire is an open-source library that can run background jobs in queues. In your case, you can enqueue each request from the client in a queue. Then Hangfire server will process them one by one (even with retry if the job fails). Hangfire supports SQL Server or Redis. You can query the storage to see the status of the queued jobs.
Hangfire can also run scheduled jobs, which will take care of that only one job run at a time.
Azure Service Bus
A more expensive option is to use Azure Service Bus for your queueing capability. For scheduled jobs, you can use AKS CronJobs but you will
implement the check yourself to see if there is a job already running.
Overall, I would recommend Hangfire, which can meet your requirements and is cheaper.
I have one big task to do every day, with no need to scale, that takes about 30 minutes and is DB, processor and memory intensive.
This means actual 16h/month of computation time.
WebJobs require constantly running WebSite 744h/month
WebRole is also constantly running 744h/month
Azure Batch - suited for scaled storage input - storage output
processing (or that is how I understand it)
Stopped cloud service still cost you. Setting instance count to 0 is not available. And paying for 728h/month unused computation time looks like madness. Only thing I can imagine is automatic deployment of cloud service every day and automatic deletion of deployment once task is finished, but this also looks like madness.
Are there any options for this scenario in Azure?
Cloud service will be charged continuously until the deployment is deleted. Yes you can delete it every day and redeploy...
Azure VMs in Stopped (Deallocated) status, does not incur any charge. You can shut them down in portal or by script when you don't need them.
I think there is a large difference in billing if you only use it 62h/month. Would you consider switch this deployment to VM? WorkerRole and VMs can be placed on the same subnet, they can still connect to each other.
I'm trying to figure out a solution for recurring data aggregation of several thousand remote XML and JSON data files, by using Azure queues and WebJobs to fetch the data.
Basically, an input endpoint URL of some sort would be called (with a data URL as parameter) on an Azure website/app. It should trigger a WebJobs background job (or can it continuously running and checking the queue periodically for new work), fetch the data URL and then callback an external endpoint URL on completion.
Now the main concern is the volume and its performance/scaling/pricing overhead. There will be around 10,000 URLs to be fetched every 10-60 minutes (most URLs will be fetched once every 60 minutes). With regards to this scenario of recurring high-volume background jobs, I have a couple of questions:
Is Azure WebJobs (or Workers?) the right option for background processing at this volume, and be able to scale accordingly?
For this sort of volume, which Azure website tier will be most suitable (comparison at http://azure.microsoft.com/en-us/pricing/details/app-service/)? Or would only a Cloud or VM(s) work at this scale?
Any suggestions or tips are appreciated.
Yes, Azure WebJobs is an ideal solution to this. Azure WebJobs will scale with your Web App (formerly Websites). So, if you increase your web app instances, you will also increase your web job instances. There are ways to prevent this but that's the default behavior. You could also setup autoscale to automatically scale your web app based on CPU or other performance rules you specify.
It is also possible to scale your web job independently of your web front end (WFE) by deploying the web job to a web app separate from the web app where your WFE is deployed. This has the benefit of not taking up machine resources (CPU, RAM) that your WFE is using while giving you flexibility to scale your web job instances to the appropriate level. Not saying this is what you should do. You will have to do some load testing to determine if this strategy is right (or necessary) for your situation.
You should consider at least the Basic tier for your web app. That would allow you to scale out to 3 instances if you needed to and also removes the CPU and Network I/O limits that the Free and Shared plans have.
As for the queue, I would definitely suggest using the WebJobs SDK and let the JobHost (from the SDK) invoke your web job function for you instead of polling the queue. This is a really slick solution and frees you from having to write the infrastructure code to retrieve messages from the queue, manage message visibility, delete the message, etc. For a working example of this and a quick start on building your web job like this, take a look at the sample code the Azure WebJobs SDK Queues template punches out for you.
I have a Website (on Azure) where you can trigger asyncronous jobs, that needs a lot of traffic (copy files from one location to another).
So you press a button on the site and then I want to trigger a new job. What would be the best solution?
Solution 1) Use web jobs. But then there may problems with huge traffic, so that the website will not be reachable.
Solution 2) Use cloud service. Is it a good solution to start a new instance for each job? The jobs will not need a lot of cpu usage, but the traffic will be the point.
Solution 3) Is there any solution on azure, where you can just trigger a job, and ervery time it is triggered, a new instance will start, do the job and shutdown. Like fire and forget?
Put a job message in an Azure Storage queue. Use an Azure Cloud Service worker role to consume the message and do whatever processing needs to be done.
A very simple question:
Why would someone use the Azure Scheduler if Azure WebJobs are free?
I couldnt find any topic regarding "azure webjobs vs azure scheduler"
The main difference is that the webjob contains everything that the scheduler can do:
Scheduler can make HTTP calls
WebJob can do that and more (run SQL commands, etc)
The actual scheduling bits of WebJobs are built on top of the scheduler. When you set up a Web Job on a schedule under the hood it uses the scheduler to kick it off. WebJobs provides a nice little location to host the code that gets executed. In fact, if you create WebJobs for a web site look in the Scheduler on the portal and you'll see them listed there as well.
Also note that the scheduler could call out to other systems not running Azure. If you have something running in a Cloud Service that needs to be called regularly, or even if something was hosted elsewhere (another provider or on premises) the scheduler is where you can set that up.
Regarding the cost aspect, there is a free tier to the scheduler as well: http://www.windowsazure.com/en-us/pricing/details/scheduler/.
It's 2016. The below answers are no longer accurate.
WebJobs now also has a built-in scheduler and the schedule can be defined by a cron expression.
When publishing to Azure, you can choose if you want to have the WebJob sparked off by the Scheduler or by the WebJob internal scheduler.
Important Note: The Azure Scheduler has limits to frequency of either 1hr or 1min depending on if paid or not. For the internal scheduler however, your App Service requires Always On to keep on running and firing off the job. This Always On status may affect your pricing.
Continuous jobs are monitored, and if they exit they are re-executed. In this way they act more like "services" in your local machine. There is a module that monitors and keeps your app working. Always-ON is a feature that will help your site stay alive and hence, your webjobs to continuously run.
Scheduler is used to trigger the webjobs. It uses the scheduler user account (not the back-end account). This way you can move out of the free tier for scheduler, sign up to higher tiers to suit your needs. But essentially, all the scheduler is doing is hitting an https endpoint (which is public, but required your auth).
Triggered jobs (scheduled and on demand) are invoked by an https call. These calls are load balanced - much in the same way that a web app with many instances is load balanced. Continuous jobs run concurrently by default, but can be set to be a singleton.
For Webjobs starting from version 2, there is no reason to use an Azure Scheduler anymore. As a matter of fact, the Azure Portal already flags this functionality as (Legacy).
From WebJob SDK v2 additional triggers have been introduced and one of them is TimerTrigger, which works with CRON expressions to schedule executions. This execution mode does not need any additional Azure construct, you just need the webapp to be set as AlwaysOn to guarantee the webjob to run.
Another azure service that works with TimerTriggers is Azure Functions, which is built on top of the WebJob SDK that allows a serverless execution.