#So far running Dagger standalone,
1 messages · Page 1 of 1 (latest)
Hi, I just finalize the setup you recommend me with xfs and deploy directly the dagger but I can't see any improvement, it's not worse but not better it's the same time per step
Hi!
What kind of disk storage do you have on the instances? Are you using NVMe?
the node have this disk:
blockDeviceMappings:
- deviceName: /dev/xvda
ebs:
volumeSize: 30Gi
volumeType: gp3
encrypted: true
deleteOnTermination: true
the pod with dagger have gp3 formated with xfs mounted at /var/lib/dagger
using this storage class:
allowVolumeExpansion: true
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
creationTimestamp: "2025-05-19T16:51:47Z"
name: gp3-xfs
resourceVersion: "102717206"
uid: 4e26bbe5-19fb-41eb-bb96-9495dfda37c2
parameters:
encrypted: "true"
fsType: xfs
type: gp3
provisioner: ebs.csi.aws.com
reclaimPolicy: Delete
volumeBindingMode: WaitForFirstConsumer
I see. While its true that SSDs are faster than the old gp2 block storage, they are still annoyingly slow for disk-intensive operations. We are currently using c6id instances that have really fast builtin NVMe storage. This does have a big disadvantage which is long term storage. Since this is ephemeral storage built into the node itself you'll loose it once the node goes away.
You could do a manual process of copying it over and then restoring it, but that sounds like a nightmare to implement and wont be that robust. Were you planning on having long term storage?
for the moment no it's only ephemeral storage
ok I have a better idea of what to do I think when I was reading you articles + setup I miss something + confusing the xfs on the ssd with the storage class with gp3.
I have a better idea of what to do, I keep you inform when I did the change
Hi, FYI now I have something working very well thank you for you help
I did a similar setup than in your article + github repo but with terraform instead of argocd
with worker size
I just a bit the user data script in order to be resilient in case of the device name change:
#!/bin/bash
set -euxo pipefail
sudo yum install nvme-cli -y
# Find the NVMe device labeled as "Instance Storage"
INSTANCE_NVME=$(sudo nvme list | grep "Amazon EC2 NVMe Instance Storage" | awk '{print $1}')
# Exit if not found
if [ -z "$INSTANCE_NVME" ]; then
echo "No instance store NVMe device found."
exit 1
fi
# Format, mount
sudo mkfs -t xfs "$INSTANCE_NVME"
sudo mkdir -p /var/lib/dagger
sudo mount "$INSTANCE_NVME" /var/lib/dagger