Hi and thank Mohamed
Pods are mortal by design, ther are not supposed to live forever :-)
For your need, you can use Jobs, as you already used it.
Have you defined a good activeDeadlineSeconds parameter in jobs spec?
"The activeDeadlineSeconds applies to the duration of the job, no matter how many Pods are created. Once a Job reaches activeDeadlineSeconds, all of its running Pods are terminated and the Job status will become type: Failed with reason: DeadlineExceeded."
So you can increate it for your needs for example, and also run several pods in parallel in order to parallelize your job
Backend engineer focused on distributed systems (Raft, Kubernetes, cloud-native systems).
I write about building systems from scratch and understanding how they work internally.
Does this mean that I should never deploy a queuing system like rabbitmq as a pod?
In my case, the queuing system is very active in the application. All other pods rely on it. if the queuing system pod fails, I'll need to waste time before I can resume the process.
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Hi and thank Mohamed
Pods are mortal by design, ther are not supposed to live forever :-)
For your need, you can use Jobs, as you already used it.
Have you defined a good activeDeadlineSeconds parameter in jobs spec?
"The activeDeadlineSeconds applies to the duration of the job, no matter how many Pods are created. Once a Job reaches activeDeadlineSeconds, all of its running Pods are terminated and the Job status will become type: Failed with reason: DeadlineExceeded."
So you can increate it for your needs for example, and also run several pods in parallel in order to parallelize your job
Thank you @aurelievache
Does this mean that I should never deploy a queuing system like rabbitmq as a pod?
In my case, the queuing system is very active in the application. All other pods rely on it. if the queuing system pod fails, I'll need to waste time before I can resume the process.