feat(deployments): executor-level default pod annotations/selector/tolerations/affinity - #1889
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…lerations/affinity Follow-up to the pod-annotations passthrough: move the k8s workload defaults down to the deployments-plugin *executor* so EVERY consumer (models AND agents, and any future one) inherits them, not just the models service. The prior change put default_pod_annotations / default_node_selector / default_tolerations on the models-service DeploymentsPluginConfig, so only model deployments got a useful default set — agent deployments through the same k8s executor got nothing. This adds the same five defaults (default_pod_annotations, default_node_selector, default_tolerations, default_affinity, default_topology_spread_constraints) to the plugin K8sExecutorConfig and threads them through create_job/create_deployment -> build_job_body/build_deployment_body -> compile_workload as an ExecutorK8sDefaults base layer (mirroring executor_image_pull_secrets). Per-entity backend_config.k8s values override: annotations merge key-wise (entity key wins); node_selector / tolerations / affinity / topology_spread are applied only when the entity leaves them unset. Ships the Istio native-sidecar annotation as the executor default in the helm chart (moved from the models-backend block to the k8s executor config), so it now covers agent deployments too. Adds unit coverage for the executor-defaults merge, per-entity precedence, empty-default no-op, and K8sExecutorConfig.to_k8s_defaults. Signed-off-by: Ben McCown <bmccown@nvidia.com>
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Included review availability: Your plan provides up to 12 included reviews per hour; 11 remain after this review. 📝 WalkthroughWalkthroughThe Kubernetes backend now supports executor-level pod defaults for deployments and jobs. Entity settings override these defaults. Helm values remove the Istio native-sidecar annotation from affected defaults, and documentation links reflect shifted ChangesKubernetes executor defaults
Sequence Diagram(s)sequenceDiagram
participant K8sBackend
participant K8sExecutorConfig
participant create_deployment
participant create_job
participant compile_workload
K8sBackend->>K8sExecutorConfig: read executor pod defaults
K8sBackend->>create_deployment: create deployment with defaults
K8sBackend->>create_job: create job with defaults
create_deployment->>compile_workload: forward defaults
create_job->>compile_workload: forward defaults
compile_workload->>compile_workload: apply defaults and entity precedence
Priority: ➖ Normal Merge Risk: 🟡 Moderate · up to Entity workloads cannot explicitly clear inherited Kubernetes scheduling defaults, which can cause unwanted node placement or scheduling constraints. This should be resolved before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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🧪 Generate unit tests (beta)
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In
`@plugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/compiler.py`:
- Line 646: Update compile_workload and the executor-default checks to use
K8sDeploymentConfig Pydantic field-presence tracking, distinguishing explicitly
provided empty nodeSelector, tolerations, affinity, and
topologySpreadConstraints from omitted fields so matching executor defaults are
suppressed. Ensure pod_spec_kwargs preserves the explicit empty values, and add
regression tests covering each empty scheduling override.
In `@plugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/config.py`:
- Around line 131-132: Update the default Kubernetes object copying in
K8sExecutorConfig to perform deep copies of default_affinity and
default_topology_spread_constraints, including all nested nodeAffinity,
labelSelector, and related structures, so mutations to returned workload
defaults cannot alter the executor configuration.
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k8s/helm/README.mdk8s/helm/values.yamlplugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/backend.pyplugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/compiler.pyplugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/config.pyplugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/deployments.pyplugins/nemo-deployments/src/nemo_deployments_plugin/backends/k8s/jobs.pyplugins/nemo-deployments/tests/unit/backends/k8s/test_backend.pyplugins/nemo-deployments/tests/unit/backends/k8s/test_compiler.py
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Per review: the Istio native-sidecar annotation should not be baked into the chart as a platform default — it is an env-specific concern that belongs in the deployment's own values (e.g. the aire-dev Flux app). Remove the default_pod_annotations default that #1876 added to the chart's models-backend block. The executor-config MECHANISM added in this PR (K8sExecutorConfig.default_pod_annotations et al.) stays, so any deployment can still set the annotation via deployments.executors[].config.default_pod_annotations; the chart just no longer ships a value. Regenerated the helm README (line-anchor shifts only). Signed-off-by: Ben McCown <bmccown@nvidia.com>
crookedstorm
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This feels like a good move. It also would be good to be able to declare thing like this per workload type. Thre's a very strong case for being able to set it across any spawned workloads, though.
dict(self.default_affinity) and [dict(item) ...] shallow-copy only the outer containers; nested nodeAffinity / labelSelector objects stayed shared with the K8sExecutorConfig, so a downstream mutation of the returned defaults would leak into later workloads. Use deepcopy for the raw Kubernetes objects and add a regression test. Addresses CodeRabbit review feedback. Signed-off-by: Ben McCown <bmccown@nvidia.com>
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agent injected reply (to @crookedstorm's review):
Thanks! The "across any spawned workloads" case is what this PR delivers — the defaults live on the k8s executor now, so every workload it renders (models, agents, jobs, ...) inherits them from one place. For the "per workload type" idea (e.g. distinct defaults for model server Deployments vs. weight-puller Jobs vs. agent deployments, layered on top of the executor-wide base), I filed a follow-up tracking issue so it doesn't get lost. (Ben will share the internal link.) |
Summary
Follow-up to #1876. That PR added the k8s workload defaults on the models service's
DeploymentsPluginConfig, so only model deployments got a useful default set — agent deployments (and any other deployments-plugin consumer) going through the same k8s executor got nothing. This moves the mechanism down to the deployments-plugin executor so every consumer inherits whatever defaults an operator sets.It also removes the Istio native-sidecar annotation from the chart default — that annotation is an env-specific concern and belongs in a deployment's own values (e.g. the aire-dev Flux app), not baked into the platform chart.
Changes
K8sExecutorConfig(backends/k8s/config.py): adddefault_pod_annotations,default_node_selector,default_tolerations,default_affinity,default_topology_spread_constraints, plusto_k8s_defaults()that bundles them into anExecutorK8sDefaults.compile_workload(backends/k8s/compiler.py): newExecutorK8sDefaultsdataclass + anexecutor_defaultsparam applied as the base layer. Per-entitybackend_config.k8soverrides it — annotations merge key-wise (entity key wins); node_selector / tolerations / affinity / topology-spread apply only when the entity leaves them unset.executor_defaultsthroughcreate_job/create_deployment→build_job_body/build_deployment_body→compile_workload(mirrors the existingexecutor_image_pull_secretsplumbing); the backend passesself._executor_config.to_k8s_defaults().default_pod_annotations: {sidecar.istio.io/nativeSidecar: "true"}default that feat(deployments): pass pod annotations through k8s workloads + platform defaults #1876 added to the models-backend block. The chart no longer ships that value; the executor-config mechanism lets any deployment set it viadeployments.executors[].config.default_pod_annotations.Net: models and agents (and future consumers) inherit executor-level k8s defaults from one canonical place, and the native-sidecar annotation is configured per-environment rather than baked into the chart.
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Summary by CodeRabbit
New Features
Configuration
Documentation
Tests