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I'm looking for a way implementing exponential backoff / retry policy with Celery and SQS.
I like to use the visibility timeout mechanism SQS is offering and not celery countdown feature, as it is based on worker being active / not replaced with a different one.
Is there any kind of implementation supporting this?
Cheers
As far as I know Celery already offers this since the 4.0 release. More about it in the "Automatic retry for exceptions" section of the Celery documentation. In the case you want more than that, then you are on your own I suppose...
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Can you explain the different features among alpha, beta and stable in kubernetes?
And I also want to know what the General Availability ( a.k.a GA ).
Thank a lot!!
Alpha means the feature is disabled by default and may change wildly before it exits alpha. Beta means on by default, stable for most use, but still might change before GA. GA means the feature will not change in backwards incompatible ways and has the full trust of the project behind it.
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I have been playing around with azure batch for a project at work.
My work has 100-1000s of computers running win10 mostly chewing over Outlook and not much else.
Is there some framework that can leverage 'idle' CPU time in this environment?
Seems a bit of a shame to send tasks to Azure server in US when the 3 or 4 computers around me (in New Zealand) crying for non-fb attention.
I can take downvotes for 'too vague' and 'off topic' - just need a clue where to look.
You will want to investigate machine/CPU time scavenging schedulers such as HTCondor.
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How easy is to switch from Rabbit to Kafka in existing solution, to replace one implementation (Rabbit) with other (Kafka)? We are about to use Rabbit in our implementation but we want to see if it is possible in the future to replace it with Kafka.
It is possible, and I've seen people do it - but it is a big project.
Not only the APIs are different, but the semantics are different. So you need to rethink your data model, scaling model, error handling, etc. And then there's testing.
If you don't have tons of code to update, and the code is localized and you have both RabbitMQ and Kafka experts on the team you may be able to get it done in a month or two.
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All is in the title: Is RKE (from Rancher) production ready?
I tried to google it without success.
And is there any best practices to set up a production cluster with it?
Thanks for your help.
This question is rather hard to answer without knowing your acceptance criteria. What is production readiness from your point of view?
High availability? Can be achived
(Enterprise) Customer Support? Can be requested
Are you concerned about the conformance of the k8s deployment through rke? Check https://www.cncf.io/certification/software-conformance/ - Rancher is listed there.
Maybe give https://github.com/heptio/sonobuoy a try.
Cheers
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I'm especially interested in this use case as it applies to automating Epic.
If you are using it for Epic I would start with something simple that you know you will use every day, like automating pulling in a most used progress note template. You could call the script "open progress note".
SendDragonKeys "{Ctrl+Shift+n}"
Wait 1.5
SendDragonKeys ".nameofmytemplate"
SendDragonKeys "{Enter}"
The most important thing is getting your feet wet with something that will give you immediate results and value, but not be overly complex or subject to failure.