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I have an EKS cluster and my api is running on it and llmsherpa is running on a seperate worker node in the cluster with llm sherpa as the only pod running on this worker node.
I am facing this issue:
raise ConnectionError(err, request=request) requests.exceptions.ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))
my manifest file :
apiVersion: apps/v1
kind: Deployment
metadata:
name: nlm-ingestor # Replace with a more descriptive name if needed
spec:
replicas: 1 # Adjust the number of replicas as needed
selector:
matchLabels:
app: nlm-ingestor
template:
metadata:
labels:
app: nlm-ingestor
spec:
nodeSelector:
node_type: nlm-ingestor
containers:
- name: nlm-ingestor
image: ghcr.io/nlmatics/nlm-ingestor:latest
ports:
- containerPort: 5001
name: nlm-ingestor
protocol: TCP
----------------------------
my service :
apiVersion: v1
kind: Service
metadata:
name: nlm-ingestor-service
spec:
selector:
app: nlm-ingestor
ports:
There is no size restriction on the service side. This could be happening
because of some restrictions in the eks front (load balancer etc.)
component that is in between the client and the running server. Fact that
it cuts off at 1mb which is a very small size points to that being the
reason.
On Thu, Jul 4, 2024 at 12:07 AM gireesh99 ***@***.***> wrote:
I have an EKS cluster and my api is running on it and llmsherpa is running
on a seperate worker node in the cluster with llm sherpa as the only pod
running on this worker node.
I am facing this issue:
raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: ('Connection aborted.',
RemoteDisconnected('Remote end closed connection without response'))
my manifest file :
apiVersion: apps/v1
kind: Deployment
metadata:
name: nlm-ingestor # Replace with a more descriptive name if needed
spec:
replicas: 1 # Adjust the number of replicas as needed
selector:
matchLabels:
app: nlm-ingestor
template:
metadata:
labels:
app: nlm-ingestor
spec:
nodeSelector:
node_type: nlm-ingestor
containers:
- name: nlm-ingestor
image: ghcr.io/nlmatics/nlm-ingestor:latest
ports:
- containerPort: 5001
name: nlm-ingestor
protocol: TCP
----------------------------
my service :
apiVersion: v1
kind: Service
metadata:
name: nlm-ingestor-service
spec:
selector:
app: nlm-ingestor
ports:
- protocol: TCP
port: 5010
targetPort: 5001
nodePort: 30006
name: nlm-ingestor
type: NodePort
and my llmsherpa url is llmsherpa_api_url = "
http://nlm-ingestor-service:5010/api/parseDocument?renderFormat=all"
if the file is very small is it is working, if the file is larger than 1mb
it is raising the above error.
any leads what's the issue or how to resolve this would be a great help!
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I have an EKS cluster and my api is running on it and llmsherpa is running on a seperate worker node in the cluster with llm sherpa as the only pod running on this worker node.
I am facing this issue:
raise ConnectionError(err, request=request) requests.exceptions.ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))
my manifest file :
apiVersion: apps/v1
kind: Deployment
metadata:
name: nlm-ingestor # Replace with a more descriptive name if needed
spec:
replicas: 1 # Adjust the number of replicas as needed
selector:
matchLabels:
app: nlm-ingestor
template:
metadata:
labels:
app: nlm-ingestor
spec:
nodeSelector:
node_type: nlm-ingestor
containers:
- name: nlm-ingestor
image: ghcr.io/nlmatics/nlm-ingestor:latest
ports:
- containerPort: 5001
name: nlm-ingestor
protocol: TCP
kind: Service
metadata:
name: nlm-ingestor-service
spec:
selector:
app: nlm-ingestor
ports:
port: 5010
targetPort: 5001
nodePort: 30006
name: nlm-ingestor
type: NodePort
and my llmsherpa url is llmsherpa_api_url = "http://nlm-ingestor-service:5010/api/parseDocument?renderFormat=all"
if the file is very small is it is working, if the file is larger than 1mb it is raising the above error.
any leads what's the issue or how to resolve this would be a great help!
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