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Signed-off-by: Jordan Conway <[email protected]>
OpenTofu plan for prod Plan: 0 to add, 7 to change, 0 to destroy.OpenTofu used the selected providers to generate the following execution
plan. Resource actions are indicated with the following symbols:
!~ update in-place
OpenTofu will perform the following actions:
# datadog_synthetics_test.pytorch-gha-runners-queue-check-amd will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-amd" {
id = "yt8-7zy-xpj"
name = "GHA Runner Queue Check - AMD Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = '.rocm.';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type.includes(MACHINE_TYPE_FILTER) && item.avg_queue_s > 14400)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types containing ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-ibm will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-ibm" {
id = "sc6-zip-2n9"
name = "GHA Runner Queue Check - IBM Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = '.s390x';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type.includes(MACHINE_TYPE_FILTER) && item.avg_queue_s > 10800)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types containing ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-intel will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-intel" {
id = "67g-icy-6mh"
name = "GHA Runner Queue Check - Intel Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = '.idc.';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type.includes(MACHINE_TYPE_FILTER) && item.avg_queue_s > 14400)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types containing ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-lf will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-lf" {
id = "p69-6vj-54b"
name = "GHA Runner Queue Check - Linux Foundation Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = 'lf.';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type.startsWith(MACHINE_TYPE_FILTER) && item.avg_queue_s > 14400)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types containing ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-meta will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-meta" {
id = "nnz-icu-8qk"
name = "GHA Runner Queue Check - Meta Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const EXCLUDED_MACHINE_PATTERNS = ['.dgx.', '.idc.', '.rocm.', '.s390x', '^lf\\.', '^linux.aws.h100'];
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => {
const machineType = item.machine_type;
return !EXCLUDED_MACHINE_PATTERNS.some(pattern =>
pattern.startsWith('^') ?
new RegExp(pattern).test(machineType) :
machineType.includes(pattern)
) && item.avg_queue_s > 14400;
})
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-meta-h100 will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-meta-h100" {
id = "hpi-psi-z8i"
name = "GHA Runner Queue Check - Meta Runners - AWS H100"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = 'linux.aws.h100';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type === MACHINE_TYPE_FILTER && item.avg_queue_s > 21600)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine type ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
# datadog_synthetics_test.pytorch-gha-runners-queue-check-nvidia will be updated in-place
!~ resource "datadog_synthetics_test" "pytorch-gha-runners-queue-check-nvidia" {
id = "sxd-d72-36u"
name = "GHA Runner Queue Check - Nvidia Runners"
tags = [
"env:project",
"project:pytorch",
"service:gha-runners",
]
# (10 unchanged attributes hidden)
!~ assertion {
!~ code = <<-EOT
+ // SPDX-FileCopyrightText: 2025 2025 The Linux Foundation
+ //
+ // SPDX-License-Identifier: Apache-2.0
+
dd.expect(dd.response.statusCode).to.equal(200);
const MACHINE_TYPE_FILTER = '.dgx.';
const jsonData = dd.response.body;
const parsedData = JSON.parse(jsonData);
const highQueueItems = parsedData
.filter(item => item.machine_type.includes(MACHINE_TYPE_FILTER) && item.avg_queue_s > 14400)
.map(item => ({ machine_type: item.machine_type, avg_queue_s: item.avg_queue_s }));
if (highQueueItems.length > 0) {
const machineDetails = highQueueItems
.map(item => `${item.machine_type} (${item.avg_queue_s}s)`)
.join(', ');
const message = `High queue detected for machine types containing ${MACHINE_TYPE_FILTER}: ${machineDetails}`;
console.error(message);
}
dd.expect(highQueueItems.length > 0).to.be.false;
EOT
# (1 unchanged attribute hidden)
}
# (2 unchanged blocks hidden)
}
Plan: 0 to add, 7 to change, 0 to destroy. ✅ Plan applied in Tofu Apply #40 |
zxiiro
approved these changes
Oct 3, 2025
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