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- application for Sudaporn's research
72 lines
1.4 KiB
HCL
72 lines
1.4 KiB
HCL
job "app-sudaporn-research-normalised" {
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datacenters = ["au-syd1"]
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type = "service"
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group "app" {
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count = 2
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network {
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port "http" {
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to = 80
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}
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}
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update {
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max_parallel = 1
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health_check = "checks"
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min_healthy_time = "30s"
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healthy_deadline = "5m"
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progress_deadline = "10m"
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auto_revert = true
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auto_promote = true
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canary = 1
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stagger = "20s"
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}
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# Ensure instances run on different agents
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spread {
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attribute = "${node.unique.id}"
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weight = 100
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}
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# Application Task
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task "webapp" {
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driver = "docker"
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config {
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image = "git.query.consul/unkin/almalinux9-base:latest"
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network_mode = "bridge"
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ports = ["http"]
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command = "sh"
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args = [
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"-c",
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"rm -rf /app && git clone https://git.query.consul/unkin/app-sudaporn-research-normalised.git /app && cd /app && make run"
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]
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}
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env {
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PORT = "80"
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PYTHONUNBUFFERED = "1"
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}
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resources {
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cpu = 500
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memory = 350
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}
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service {
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name = "app-sudaporn-research-normalised"
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port = "http"
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address_mode = "driver"
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check {
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type = "http"
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path = "/"
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interval = "10s"
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timeout = "2s"
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}
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}
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}
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}
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}
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