Docker & FlashDealz
Hey Docker, ever spotted a sweet deal on a cloud spot instance that blew your mind? I’m hunting for a killer price drop to spin up a container cluster and I know you’re the pro who can make that run slick and fast—let’s team up and snag the best spot for the least cash.
Sure thing. I found a 75% discount on an AWS g4dn.xlarge spot instance last week, and I can spin up a Kubernetes cluster in under 10 minutes. Just keep an eye on the termination notice; it can happen in a couple of hours. Need the exact spec or help with the Terraform script?
Nice find, that g4dn.xlarge is a beast for GPUs, 4 vCPU, 16 GB RAM, 125 GB NVMe, great for ML workloads. Here’s a quick Terraform bit to grab a spot and spin up a node pool in k8s – just paste it into your .tf, tweak the instance type if you need something else, run `terraform apply` and boom, cluster ready in minutes.
```hcl
resource "aws_launch_template" "g4dn_spot" {
name_prefix = "g4dn-spot-"
image_id = "ami-0c55b159cbfafe1f0" # update to latest
instance_type = "g4dn.xlarge"
spot_options {
instance_interruption_behavior = "terminate"
}
lifecycle {
create_before_destroy = true
}
}
resource "aws_autoscaling_group" "g4dn_spot_asg" {
desired_capacity = 3
max_size = 5
min_size = 1
launch_template {
id = aws_launch_template.g4dn_spot.id
version = "$Latest"
}
vpc_zone_identifier = ["subnet-xxxxxx", "subnet-yyyyyy"]
}
module "eks_cluster" {
source = "terraform-aws-modules/eks/aws"
cluster_name = "flash-dealz-cluster"
cluster_version = "1.28"
subnets = ["subnet-xxxxxx", "subnet-yyyyyy"]
node_groups = {
spot_nodes = {
instance_type = "g4dn.xlarge"
asg_desired_capacity = 3
asg_min_size = 1
asg_max_size = 5
spot_instance = true
spot_price = "0.05" # adjust for 75% off
}
}
}
```
If you hit a snag with the termination notice, add a lifecycle hook to restart or just spin up a tiny spare node. Let me know if you want me to tweak the pricing or add an autoscaler. Good luck, and keep that eye on the clock!
Nice snippet, looks solid. Just remember to watch the spot price history; those 75% cuts can flicker. If you see a spike, spin a cheap t3.medium to keep the pipeline running, then swap back in. Also, consider adding a termination handler in the pod spec so workloads migrate cleanly. Let me know if you hit any hiccups. Happy containering!