pkg/clusteragent/autoscaling/cluster: add spot instance scheduler MVP by AlexanderYastrebov · Pull Request #47429 · DataDog/datadog-agent

AlexanderYastrebov · 2026-03-05T18:30:54Z

What does this PR do?

Implement a spot instance scheduler for the Cluster Agent that schedules eligible workloads on Karpenter-managed spot nodes while maintaining configurable spot/on-demand ratios and automatic fallback to on-demand when spot pods are stuck pending.

Add autoscaling.cluster.spot.enabled feature toggle (default: false) and configuration defaults.

Tests use a mocked cluster that simulates a Kubernetes cluster and the Spot Scheduler is exercised through its public API.

Motivation

Enable spot scheduling for selected workloads.

Describe how you validated your changes

Via unit tests, running Cluster Agent in a local kind cluster and in EKS cluster with Karpenter.

Additional Notes

Please check README.md and scheduler_test.go first.

agent-platform-auto-pr · 2026-03-05T18:38:19Z

Go Package Import Differences

Baseline: b7939a5
Comparison: 2271b55

binary

os

arch

change

cluster-agent

linux

amd64

+2, -0

+github.com/DataDog/datadog-agent/pkg/clusteragent/admission/mutate/spot
+github.com/DataDog/datadog-agent/pkg/clusteragent/autoscaling/cluster/spot

cluster-agent

linux

arm64

+2, -0

+github.com/DataDog/datadog-agent/pkg/clusteragent/admission/mutate/spot
+github.com/DataDog/datadog-agent/pkg/clusteragent/autoscaling/cluster/spot

agent-platform-auto-pr · 2026-03-05T18:51:23Z

Files inventory check summary

File checks results against ancestor b7939a5a:

Results for datadog-agent_7.79.0~devel.git.843.2271b55.pipeline.108120592-1_amd64.deb:

No change detected

agent-platform-auto-pr · 2026-03-05T19:00:29Z

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor 585676e
📊 Static Quality Gates Dashboard
🔗 SQG Job
SOME SIZE DELTAS ARE N/A (ANCESTOR METRICS NOT YET AVAILABLE). RETRY JOB

Successful checks

Info

	Quality gate	Change	Size (prev → curr → max)
✅	agent_deb_amd64	N/A	N/A → 753.018 → 753.380
✅	agent_deb_amd64_fips	N/A	N/A → 709.949 → 713.900
✅	agent_heroku_amd64	N/A	N/A → 313.352 → 320.580
✅	agent_msi	N/A	N/A → 604.902 → 651.440
✅	agent_rpm_amd64	N/A	N/A → 753.002 → 753.350
✅	agent_rpm_amd64_fips	N/A	N/A → 709.933 → 713.880
✅	agent_rpm_arm64	N/A	N/A → 731.417 → 735.290
✅	agent_rpm_arm64_fips	N/A	N/A → 691.377 → 696.840
✅	agent_suse_amd64	N/A	N/A → 753.002 → 753.350
✅	agent_suse_amd64_fips	N/A	N/A → 709.933 → 713.880
✅	agent_suse_arm64	N/A	N/A → 731.417 → 735.290
✅	agent_suse_arm64_fips	N/A	N/A → 691.377 → 696.840
✅	docker_agent_amd64	N/A	N/A → 813.312 → 815.700
✅	docker_agent_arm64	N/A	N/A → 816.497 → 821.970
✅	docker_agent_jmx_amd64	N/A	N/A → 1004.227 → 1006.580
✅	docker_agent_jmx_arm64	N/A	N/A → 996.191 → 1001.570
✅	docker_cluster_agent_amd64	N/A	N/A → 204.125 → 206.270
✅	docker_cluster_agent_arm64	N/A	N/A → 218.545 → 220.000
✅	docker_cws_instrumentation_amd64	N/A	N/A → 7.142 → 7.180
✅	docker_cws_instrumentation_arm64	N/A	N/A → 6.689 → 6.920
✅	docker_dogstatsd_amd64	N/A	N/A → 39.226 → 39.380
✅	docker_dogstatsd_arm64	N/A	N/A → 37.498 → 37.940
✅	dogstatsd_deb_amd64	N/A	N/A → 29.886 → 30.610
✅	dogstatsd_deb_arm64	N/A	N/A → 28.034 → 29.110
✅	dogstatsd_rpm_amd64	N/A	N/A → 29.886 → 30.610
✅	dogstatsd_suse_amd64	N/A	N/A → 29.886 → 30.610
✅	iot_agent_deb_amd64	N/A	N/A → 43.231 → 44.290
✅	iot_agent_deb_arm64	N/A	N/A → 40.282 → 41.920
✅	iot_agent_deb_armhf	N/A	N/A → 41.029 → 42.100
✅	iot_agent_rpm_amd64	N/A	N/A → 43.231 → 44.290
✅	iot_agent_suse_amd64	N/A	N/A → 43.231 → 44.290

On-wire sizes (compressed)

	Quality gate	Change	Size (prev → curr → max)
✅	agent_deb_amd64	N/A	N/A → 174.717 → 178.360
✅	agent_deb_amd64_fips	N/A	N/A → 165.351 → 172.790
✅	agent_heroku_amd64	N/A	N/A → 75.013 → 79.970
✅	agent_msi	N/A	N/A → 138.402 → 146.220
✅	agent_rpm_amd64	N/A	N/A → 177.591 → 181.830
✅	agent_rpm_amd64_fips	N/A	N/A → 167.672 → 173.370
✅	agent_rpm_arm64	N/A	N/A → 159.598 → 163.060
✅	agent_rpm_arm64_fips	N/A	N/A → 151.389 → 156.170
✅	agent_suse_amd64	N/A	N/A → 177.591 → 181.830
✅	agent_suse_amd64_fips	N/A	N/A → 167.672 → 173.370
✅	agent_suse_arm64	N/A	N/A → 159.598 → 163.060
✅	agent_suse_arm64_fips	N/A	N/A → 151.389 → 156.170
✅	docker_agent_amd64	N/A	N/A → 268.188 → 272.480
✅	docker_agent_arm64	N/A	N/A → 255.385 → 261.060
✅	docker_agent_jmx_amd64	N/A	N/A → 336.829 → 341.100
✅	docker_agent_jmx_arm64	N/A	N/A → 320.015 → 325.620
✅	docker_cluster_agent_amd64	N/A	N/A → 71.415 → 72.920
✅	docker_cluster_agent_arm64	N/A	N/A → 67.042 → 68.220
✅	docker_cws_instrumentation_amd64	N/A	N/A → 2.999 → 3.330
✅	docker_cws_instrumentation_arm64	N/A	N/A → 2.729 → 3.090
✅	docker_dogstatsd_amd64	N/A	N/A → 15.166 → 15.820
✅	docker_dogstatsd_arm64	N/A	N/A → 14.481 → 14.830
✅	dogstatsd_deb_amd64	N/A	N/A → 7.892 → 8.790
✅	dogstatsd_deb_arm64	N/A	N/A → 6.779 → 7.710
✅	dogstatsd_rpm_amd64	N/A	N/A → 7.904 → 8.800
✅	dogstatsd_suse_amd64	N/A	N/A → 7.904 → 8.800
✅	iot_agent_deb_amd64	N/A	N/A → 11.386 → 13.040
✅	iot_agent_deb_arm64	N/A	N/A → 9.712 → 11.450
✅	iot_agent_deb_armhf	N/A	N/A → 9.930 → 11.620
✅	iot_agent_rpm_amd64	N/A	N/A → 11.407 → 13.060
✅	iot_agent_suse_amd64	N/A	N/A → 11.407 → 13.060

cit-pr-commenter-54b7da · 2026-03-05T19:58:47Z

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 418c94ae-ce5c-460a-ae95-e714502e4f8f

Baseline: 00d2c25
Comparison: 5bd3f8c
Diff

Optimization Goals: ✅ No significant changes detected

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
✅	docker_containers_cpu	% cpu utilization	-7.50	[-10.38, -4.62]	1	Logs

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	quality_gate_logs	% cpu utilization	+2.08	[+0.43, +3.73]	1	Logs bounds checks dashboard
➖	ddot_logs	memory utilization	+0.75	[+0.68, +0.81]	1	Logs
➖	quality_gate_metrics_logs	memory utilization	+0.71	[+0.47, +0.94]	1	Logs bounds checks dashboard
➖	ddot_metrics_sum_delta	memory utilization	+0.17	[-0.01, +0.34]	1	Logs
➖	docker_containers_memory	memory utilization	+0.09	[+0.01, +0.17]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	+0.05	[-0.51, +0.62]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	+0.03	[-0.08, +0.14]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	+0.02	[-0.04, +0.08]	1	Logs
➖	ddot_metrics_sum_cumulativetodelta_exporter	memory utilization	+0.02	[-0.21, +0.24]	1	Logs
➖	uds_dogstatsd_to_api_v3	ingress throughput	+0.01	[-0.20, +0.21]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.11, +0.11]	1	Logs
➖	quality_gate_idle	memory utilization	-0.00	[-0.05, +0.05]	1	Logs bounds checks dashboard
➖	uds_dogstatsd_to_api	ingress throughput	-0.01	[-0.21, +0.19]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.02	[-0.46, +0.42]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	-0.05	[-0.08, -0.01]	1	Logs bounds checks dashboard
➖	file_to_blackhole_500ms_latency	egress throughput	-0.06	[-0.47, +0.35]	1	Logs
➖	ddot_metrics	memory utilization	-0.19	[-0.38, -0.00]	1	Logs
➖	otlp_ingest_metrics	memory utilization	-0.26	[-0.42, -0.10]	1	Logs
➖	ddot_metrics_sum_cumulative	memory utilization	-0.34	[-0.49, -0.19]	1	Logs
➖	file_tree	memory utilization	-0.49	[-0.55, -0.44]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	-1.37	[-1.55, -1.19]	1	Logs
➖	otlp_ingest_logs	memory utilization	-1.60	[-1.71, -1.50]	1	Logs
✅	docker_containers_cpu	% cpu utilization	-7.50	[-10.38, -4.62]	1	Logs

Bounds Checks: ❌ Failed

perf	experiment	bounds_check_name	replicates_passed	observed_value	links
✅	docker_containers_cpu	simple_check_run	10/10	715 ≥ 26
✅	docker_containers_memory	memory_usage	10/10	278.15MiB ≤ 370MiB
✅	docker_containers_memory	simple_check_run	10/10	684 ≥ 26
✅	file_to_blackhole_0ms_latency	memory_usage	10/10	0.20GiB ≤ 1.20GiB
✅	file_to_blackhole_0ms_latency	missed_bytes	10/10	0B = 0B
✅	file_to_blackhole_1000ms_latency	memory_usage	10/10	0.24GiB ≤ 1.20GiB
✅	file_to_blackhole_1000ms_latency	missed_bytes	10/10	0B = 0B
✅	file_to_blackhole_100ms_latency	memory_usage	10/10	0.20GiB ≤ 1.20GiB
✅	file_to_blackhole_100ms_latency	missed_bytes	10/10	0B = 0B
✅	file_to_blackhole_500ms_latency	memory_usage	10/10	0.22GiB ≤ 1.20GiB
✅	file_to_blackhole_500ms_latency	missed_bytes	10/10	0B = 0B
❌	quality_gate_idle	intake_connections	0/10	4 > 3	bounds checks dashboard
✅	quality_gate_idle	memory_usage	10/10	174.78MiB ≤ 181MiB	bounds checks dashboard
❌	quality_gate_idle_all_features	intake_connections	5/10	4 > 3	bounds checks dashboard
✅	quality_gate_idle_all_features	memory_usage	10/10	499.48MiB ≤ 550MiB	bounds checks dashboard
✅	quality_gate_logs	intake_connections	10/10	4 ≤ 6	bounds checks dashboard
✅	quality_gate_logs	memory_usage	10/10	208.75MiB ≤ 220MiB	bounds checks dashboard
✅	quality_gate_logs	missed_bytes	10/10	0B = 0B	bounds checks dashboard
✅	quality_gate_metrics_logs	cpu_usage	10/10	355.79 ≤ 2000	bounds checks dashboard
✅	quality_gate_metrics_logs	intake_connections	10/10	4 ≤ 6	bounds checks dashboard
✅	quality_gate_metrics_logs	memory_usage	10/10	411.69MiB ≤ 475MiB	bounds checks dashboard
✅	quality_gate_metrics_logs	missed_bytes	10/10	0B = 0B	bounds checks dashboard

Explanation

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

Performance changes are noted in the perf column of each table:

✅ = significantly better comparison variant performance
❌ = significantly worse comparison variant performance
➖ = no significant change in performance

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
Its configuration does not mark it "erratic".

CI Pass/Fail Decision

❌ Failed. Some Quality Gates were violated.

quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
quality_gate_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
quality_gate_idle_all_features, bounds check intake_connections: 5/10 replicas passed. Failed 5 which is > 0. Gate FAILED.
quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
quality_gate_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
quality_gate_metrics_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
quality_gate_idle, bounds check intake_connections: 0/10 replicas passed. Failed 10 which is > 0. Gate FAILED.

AlexanderYastrebov · 2026-03-06T15:56:57Z

@codex review

AlexanderYastrebov · 2026-03-16T13:06:17Z

I've created #47864 to compensate for the size change.

…ling/spot-scheduling-2 Co-Authored-By: Claude Opus 4.6 <[email protected]>

github-actions · 2026-04-16T15:17:48Z

All contributors have signed the CLA ✍️ ✅
_{Posted by the CLA Assistant Lite bot.}

…tion (#48684) ### What does this PR do? Add support for customizing kind cluster topology and pre-loading Docker images into the cluster before the agent is deployed. ### Motivation Local e2e tests for Spot Scheduling #47429 ### Describe how you validated your changes I am testing spot scheduling via #48821 and extracted these changes into a separate PR. ### Additional Notes Co-authored-by: alexander.yastrebov <[email protected]>

What does this PR do? ===================== Adds `features.autoscaling.cluster.spot.enabled` to the DatadogAgent API, which grants the cluster-agent permission to patch Deployments/StatefulSets with the `spot-disabled-until` annotation and evict pending spot pods during on-demand fallback. Spot is enforced as a sub-feature of cluster autoscaling (requires `cluster.enabled=true`). Motivation ---------- Support spot instance scheduling in the operator so that users can enable the spot scheduler via the DatadogAgent CR without manually managing RBAC. Additional Notes ---------------- Spot scheduler implementation: DataDog/datadog-agent#47429 Updates https://datadoghq.atlassian.net/browse/CASCL-1312 Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Describe your test plan ----------------------- Unit tests cover the new RBAC rules for spot scheduling. E2E tests in DataDog/datadog-agent validate spot scheduling behaviour end-to-end. Checklist --------- - [ ] PR has at least one valid label: `bug`, `enhancement`, `refactoring`, `documentation`, `tooling`, and/or `dependencies` - [ ] PR has a milestone or the `qa/skip-qa` label - [ ] All commits are signed (see: https://docs.github.com/en/authentication/managing-commit-signature-verification/signing-commits) Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

What does this PR do? --------------------- Adds `features.autoscaling.cluster.spot.enabled` to the DatadogAgent API, which grants the cluster-agent permission to patch Deployments/StatefulSets with the `spot-disabled-until` annotation and evict pending spot pods during on-demand fallback. Spot is enforced as a sub-feature of cluster autoscaling (requires `cluster.enabled=true`). Motivation ---------- Support spot instance scheduling in the operator so that users can enable the spot scheduler via the DatadogAgent CR without manually managing RBAC. Additional Notes ---------------- Spot scheduler implementation: DataDog/datadog-agent#47429 Updates https://datadoghq.atlassian.net/browse/CASCL-1312 Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Describe your test plan ----------------------- Unit tests cover the new RBAC rules for spot scheduling. E2E tests in DataDog/datadog-agent validate spot scheduling behaviour end-to-end. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

What does this PR do? --------------------- Adds `datadog.autoscaling.cluster.spot.enabled` to enable RBAC permissions for the spot instance scheduler in the Cluster Agent: - Deployments and StatefulSets (get, list, watch, patch) — to write the spot-disabled-until annotation during on-demand fallback. - pods/eviction (create) — to evict pending spot pods and trigger on-demand fallback rescheduling. Motivation ---------- The spot scheduler MVP was added in DataDog/datadog-agent#47429 (7.79.0). The equivalent operator change is in DataDog/datadog-operator#<PR>. Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Updates https://datadoghq.atlassian.net/browse/CASCL-1312 Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

What does this PR do? --------------------- Adds `datadog.autoscaling.cluster.spot.enabled` to enable RBAC permissions for the spot instance scheduler in the Cluster Agent: - Deployments and StatefulSets (get, list, watch, patch) — to write the spot-disabled-until annotation during on-demand fallback. - pods/eviction (create) — to evict pending spot pods and trigger on-demand fallback rescheduling. Motivation ---------- The spot scheduler MVP was added in DataDog/datadog-agent#47429 (7.79.0). The equivalent operator change is in DataDog/datadog-operator#<PR>. Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Updates https://datadoghq.atlassian.net/browse/CASCL-1315 Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

What does this PR do? --------------------- Adds `features.autoscaling.cluster.spot.enabled` to the DatadogAgent API, which grants the cluster-agent permission to patch Deployments/StatefulSets with the `spot-disabled-until` annotation and evict pending spot pods during on-demand fallback. Spot is enforced as a sub-feature of cluster autoscaling (requires `cluster.enabled=true`). Motivation ---------- Support spot instance scheduling in the operator so that users can enable the spot scheduler via the DatadogAgent CR without manually managing RBAC. Additional Notes ---------------- Spot scheduler implementation: DataDog/datadog-agent#47429 Updates https://datadoghq.atlassian.net/browse/CASCL-1312 Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Describe your test plan ----------------------- Unit tests cover the new RBAC rules for spot scheduling. E2E tests in DataDog/datadog-agent validate spot scheduling behaviour end-to-end. Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

…2957) [feature][autoscaling] add Spot scheduling feature and update RBAC What does this PR do? --------------------- Adds `features.autoscaling.cluster.spot.enabled` to the DatadogAgent API, which grants the cluster-agent permission to patch Deployments/StatefulSets with the `spot-disabled-until` annotation and evict pending spot pods during on-demand fallback. Spot is enforced as a sub-feature of cluster autoscaling (requires `cluster.enabled=true`). Motivation ---------- Support spot instance scheduling in the operator so that users can enable the spot scheduler via the DatadogAgent CR without manually managing RBAC. Additional Notes ---------------- Spot scheduler implementation: DataDog/datadog-agent#47429 Updates https://datadoghq.atlassian.net/browse/CASCL-1312 Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Describe your test plan ----------------------- Unit tests cover the new RBAC rules for spot scheduling. E2E tests in DataDog/datadog-agent validate spot scheduling behaviour end-to-end. Co-Authored-By: Claude Sonnet 4.6 <[email protected]> Co-authored-by: alexander.yastrebov <[email protected]>

What does this PR do? --------------------- Adds `datadog.autoscaling.cluster.spot.enabled` to enable RBAC permissions for the spot instance scheduler in the Cluster Agent: - Deployments and StatefulSets (get, list, watch, patch) — to write the spot-disabled-until annotation during on-demand fallback. - pods/eviction (create) — to evict pending spot pods and trigger on-demand fallback rescheduling. Motivation ---------- The spot scheduler MVP was added in DataDog/datadog-agent#47429 (7.79.0). The equivalent operator change is in DataDog/datadog-operator#2957. Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Updates https://datadoghq.atlassian.net/browse/CASCL-1315 Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

[datadog/cluster autoscaling] add spot scheduling RBAC What does this PR do? --------------------- Adds `datadog.autoscaling.cluster.spot.enabled` to enable RBAC permissions for the spot instance scheduler in the Cluster Agent: - Deployments and StatefulSets (get, list, watch, patch) — to write the spot-disabled-until annotation during on-demand fallback. - pods/eviction (create) — to evict pending spot pods and trigger on-demand fallback rescheduling. Motivation ---------- The spot scheduler MVP was added in DataDog/datadog-agent#47429 (7.79.0). The equivalent operator change is in DataDog/datadog-operator#2957. Minimum Agent Versions ---------------------- * Cluster Agent: v7.79.0 Updates https://datadoghq.atlassian.net/browse/CASCL-1315 Co-Authored-By: Claude Sonnet 4.6 <[email protected]> Co-authored-by: alexander.yastrebov <[email protected]>

github-actions Bot added the long review PR is complex, plan time to review it label Mar 5, 2026

dd-octo-sts Bot added internal Identify a non-fork PR team/agent-configuration labels Mar 5, 2026

AlexanderYastrebov force-pushed the alexander.yastrebov/pkg/clusteragent/autoscaling/spot-scheduling-2 branch from 30be0cd to 3ec3995 Compare March 5, 2026 18:59

AlexanderYastrebov added the team/container-autoscaling label Mar 6, 2026

AlexanderYastrebov commented Mar 9, 2026

View reviewed changes

Comment thread pkg/clusteragent/autoscaling/cluster/spot/README.md

vboulineau reviewed Mar 11, 2026

View reviewed changes

dd-octo-sts Bot added the team/container-platform The Container Platform Team label Mar 12, 2026

AlexanderYastrebov force-pushed the alexander.yastrebov/pkg/clusteragent/autoscaling/spot-scheduling-2 branch from 79a1ef9 to 0feddde Compare March 16, 2026 13:14

AlexanderYastrebov added the qa/done QA done before merge and regressions are covered by tests label Mar 16, 2026

AlexanderYastrebov force-pushed the alexander.yastrebov/pkg/clusteragent/autoscaling/spot-scheduling-2 branch 4 times, most recently from 15be835 to 6962a28 Compare March 26, 2026 18:57

AlexanderYastrebov force-pushed the alexander.yastrebov/pkg/clusteragent/autoscaling/spot-scheduling-2 branch 5 times, most recently from 18a5c0b to cd08df3 Compare March 30, 2026 17:18

AlexanderYastrebov commented Mar 30, 2026

View reviewed changes

Comment thread pkg/clusteragent/admission/mutate/spot/webhook.go Outdated

AlexanderYastrebov changed the title ~~pkg/clusteragent/autoscaling/workload: add spot instance scheduler MVP~~ pkg/clusteragent/autoscaling/cluster: add spot instance scheduler MVP Mar 31, 2026

AlexanderYastrebov mentioned this pull request Mar 31, 2026

test/e2e-framework: support kind cluster topology and image customization #48684

Merged

AlexanderYastrebov marked this pull request as ready for review March 31, 2026 16:28

AlexanderYastrebov requested a review from a team as a code owner March 31, 2026 16:28

Merge branch 'main' into alexander.yastrebov/pkg/clusteragent/autosca…

207aa49

…ling/spot-scheduling-2 Co-Authored-By: Claude Opus 4.6 <[email protected]>

vboulineau added 2 commits April 16, 2026 19:59

Fix merge to main

d91148e

Add group field to proto

2271b55

gh-worker-dd-mergequeue-cf854d Bot merged commit 5bd3f8c into main Apr 16, 2026
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gh-worker-dd-mergequeue-cf854d Bot deleted the alexander.yastrebov/pkg/clusteragent/autoscaling/spot-scheduling-2 branch April 16, 2026 23:02

github-actions Bot added this to the 7.79.0 milestone Apr 16, 2026

AlexanderYastrebov mentioned this pull request Apr 29, 2026

[feature][autoscaling] add Spot scheduling feature and update RBAC DataDog/datadog-operator#2957

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AlexanderYastrebov mentioned this pull request Apr 29, 2026

[autoscaling] add spot scheduling DataDog/helm-charts#2621

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AlexanderYastrebov commented Mar 5, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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What does this PR do?

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Files inventory check summary

Results for datadog-agent_7.79.0~devel.git.843.2271b55.pipeline.108120592-1_amd64.deb:

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Regression Detector

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Optimization Goals: ✅ No significant changes detected

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AlexanderYastrebov commented Mar 6, 2026

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AlexanderYastrebov commented Mar 16, 2026

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AlexanderYastrebov commented Mar 5, 2026 •

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