Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help.

I'm sorry to hear you're facing this "Backend service unavailable" issue with Databricks. I've encountered similar problems in the past, and it can be frustrating. Don't worry; you're not alone in this!

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I've integrated an LLM model into the Model Registry using a custom Docker container. The model is hosted correctly, and I can consistently execute prediction requests. However, occasionally I encounter a '503 Service Unavailable' error.

This issue becomes more frequent when I run concurrent requests (around 5 to 6) on the model. I've verified that hardware usage, including GPU and CPU, remains well below 50%. Despite raising a support ticket a month ago, there hasn't been a satisfactory resolution

I understand this must be frustrating to deal with these "503 Service Unavailable" errors on your Vertex AI model. The "503" error typically indicates the service might be overloaded or unavailable momentarily. These issues usually resolve on their own, but it's understandable that you'd want to find a more permanent solution.

I checked the service health and open issues, but couldn't find anything related to this specific error. While Vertex AI is a generally stable service, errors can sometimes occur due to temporary hiccups within a specific deployment, like yours.

Even though your overall hardware usage seems ok, there could be limitations on specific resources impacting your model. For instance, there might be insufficient resources available in the region you're using. You can check the Vertex AI documentation for details on available locations and their resource configurations.

Based on the error message you provided, it looks like there was a temporary issue with the Amazon ECS service when you tried to create your Fargate cluster called JoshTestCluster. The 500 status code in the error ("Status Code: 500") indicates that the ECS service was unavailable at the time of your create cluster request.

Well, after 3 days of it not working this suddenly sprang to life. I can only think that it WAS a problem on the AWS side and just took an inordinately long time to resolve. Thanks for all the pointers

The role existed already, so I tried deleting and recreating it and the error is still there. I also deleted it again and let it auto create with the cluster and this did not work either (although the role was created no problems)

This looks likely to be related to the service linked role AWSServiceRoleForECS. If not already created, the creation during CreateCluster uses a best effort approach. In the result, service linked role AWSServiceRoleForECS doesn't appear though ECS cluster is created.

I don't think that you can do anything with this on your box. 503 is the answer from the proxy. If you were sure, it's the good proxy what you set (192.168.120.199:8080) then it's not your problem, but the administrator's of the proxy. If it's you, then it's another question but then you need to ask about the proxy, what kind of proxy software it is, and so on. This is the case, if you are very sure you set up things well. However you wrote:export http_proxy= :proxypassword@proxyaddress:proxyportNow I am totally confused, do you need password based authentication? If no, whydid you wrote username/password there? And what was "proxyaddress:proxyport, the same as you wrote about before, 192.168.120.199:8080?

If I were you, I would kill all of these modifications in files you mentioned, and I would try only to set up http_proxy and etc parameters. When it works, you have time to modify things if you don't want to set up manually each time. So, revert those modifications, and type only this:

It will work, if your proxy is really 192.168.120.199 on port 8080 and it really does not need authentication, and your proxy administrator granted some kind of access to your machine or not rejecting it.

Also please note that what you wrote about is not a transparent proxy. Transparent proxy is something what you don't even need to set up, since the outgoing traffic is automatically "grabbed" and redirected to force through the proxy (that's why it's "transparent": you don't even need to specify it). What you have to set manually: that's not a transparent proxy.

Had the same problem today. I'm both the user and the proxy admin.Downloads from security.debian.org would fail with a 503 service unavailable error, whereas downloads from other mirrors (e.g. ftp.it.debian.org) completed without issues, despite both having to pass through the same proxy.

We've been running a couple websites off Amazons AWS infrastructure for about two years now and as of about two days ago the webserver started to go down once or twice a day with the only error I can find being:

I don't see anything out of the ordinary in the apache logs and verified that they were being properly rotated. I have no problems accessing the machine when it's "down" via SSH and looking at the process list I see 151 apache2 processes that appear normal to me. Restarting apache temporarily fixes the problem. This machine operates as just a webserver behind an ELB. Any suggestions would be greatly appreciated.

Let me clarify I think the issue is with the individual EC2 instance and not the ELB I just didn't want to rule that out even though I was unable to reach the elastic IP. I suspect ELB is just returning the results of hitting the actual EC2 instance.

Update: 2014-08-26I should have updated this sooner but the "fix" was to take a snapshot of the "bad" instance and start the resulting AMI. It hasn't gone down since then. I did look at the health check when I was still experiencing issues and could get to the health check page (curl ) even when I was getting capacity issues from the load balancer. I'm not convinced it was a health check issue but since no one, including Amazon, can provide a better answer I'm marking it as the answer. Thank you.

Update: 2015-05-06I thought I'd come back here and say that part of the issue I now firmly believe was the health check settings. I don't want to rule out their being an issue with the AMI because it definitely got better after the replacement AMI was launched but I found out that our health checks were different for each load balancer and that the one that was having the most trouble had a really aggressive unhealthy threshold and response timeout. Our traffic tends to spike unpredictably and I think between the aggressive health check settings and the spikes in traffic it was a perfect storm. In diagnosing the issue I was focused on the fact that I could reach the health check endpoint at the moment but it is possible the health check had failed because of latency and then we had a high healthy threshold (for that particular ELB) so it would take while to see the instance as being healthy again.

You will get a "Back-end server is at capacity" when the ELB load balancer performs its health checks and receives a "page not found" (or other simple error) due to a mis-configuration (typically with the NameVirtual host).

I just ran into this issue myself. The Amazon ELB will return this error if there are no healthy instances. Our sites were misconfigured, so the ELB healthcheck was failing, which caused the ELB to take the two servers out of rotation. With zero healthy sites, the ELB returned 503 Service Unavailable: Back-end server is at capacity.

[EDIT after understanding the question better]Not having any experience of the ELB, I still think this sounds suspiciously like the 503 error which may be thrown when Apache fronts a Tomcat and floods the connection.

The effect is that if Apache delivers more connection requests than can be processed by the backend, the backend input queues fill up until no more connections can be accepted. When that happens, the corresponding output queues of Apache start filling up. When the queues are full Apache throws a 503. It would follow that the same could happen when Apache is the backend, and the frontend delivers at such a rate as to make the queues fill up.

The (hypothetical) solution is to size the input connectors of the backend and output connectors of the frontend. This turns into a balancing act between the anticipated flooding level and the available RAM of the computers involved.

So as this happens, check your maxclients settings and monitor your busy workers in Apache (mod_status.). Do the same if possible with whatever ELB has that corresponds to Tomcats connector backlog, maxthreads etc. In short, look at everything concerning the input queues of Apache and the output queues of ELB.

Although I fully understand it is not directly applicable, this link contains a sizing guide for the Apache connector. You would need to research the corresponding ELB queue technicalities, then do the math: -platform/maxclients-in-apache-and-its-effect-on-tomcat-during-full-gc/

As observed in the commentary below, to overwhelm the Apache connector a spike in traffic is not the only possibility. If some requests are slower served than others, a higher ratio of those can also lead to the connector queues filling up. This was true in my case. 152ee80cbc

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