Finish Indexed Jobs after enough attempts succeed
Use Kubernetes Job success policies for chosen indexes or success counts, preserve durable results, and distinguish them from Polyaxon metric early stopping.
KubernetesPipelinesScheduling
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The latest guides, tutorials, and product updates.
Keep failed candidates visible in pipeline reports
Reconcile evaluation results against an expected candidate manifest, preserve failed and missing outcomes, and separate pipeline reporting from release approval.
MLOpsOrchestrationEvaluation
Retry failed evaluation shards with Indexed Jobs
Give evaluation shards stable indexes and independent retry budgets with Kubernetes Indexed Jobs, while keeping incomplete results visible.
KubernetesEvaluationPipelines
Hold Pods until they are ready for scheduling
Use Kubernetes scheduling gates to wait for external prerequisites before placement, with a controlled example and clear ownership of gate removal.
KubernetesSchedulingPipelines
Continuous AI red teaming in CI/CD
Turn AI security findings into repeatable CI checks with versioned cases, complete result manifests, explicit release gates, and retained evidence.
Red TeamingPipelinesEvaluation
Design reliable ML pipeline orchestration
Design ML pipelines with explicit dependencies, resource placement, safe caching, bounded retries, and complete evaluation evidence in Polyaxon.
OrchestrationPipelinesGuides
Run an existing TFX pipeline in a Polyaxon job
Wrap a local TensorFlow Extended pipeline in one Polyaxon job while preserving its own metadata and artifacts.
MLOpsTensorFlowPipelines