Keep inference available during Kubernetes node drains
Set a PodDisruptionBudget around usable inference capacity, inspect blocked evictions, and account for replacement GPUs and model warmup.
KubernetesInferenceReliability
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Keep long-running workloads authenticated through token rotation
Use projected ServiceAccount tokens and refresh-aware clients so long-running training, notebooks, and services can keep authenticating without static credentials.
KubernetesSecurityReliability
Restart containers selectively with Kubernetes restart rules
Use exit-code-based container restart rules, observe what stays within the Pod, and distinguish local recovery from retrying a complete ML operation.
KubernetesReliabilityWorkloads
Build a reliable foundation for autonomous agents
Build an operational foundation for autonomous agents using Polyaxon workload profiles, durable state, bounded authority, evaluation, and recovery ownership.
AI AgentsPlatform EngineeringReliability
Scale agentic AI without breaking the infrastructure
Scale AI agents with admission control, dependency-aware concurrency, durable state, bounded authority, backpressure, and outcome-based capacity planning.
AI AgentsInfrastructureReliability
Evaluate AI agent infrastructure reliability
Evaluate AI agent infrastructure reliability through task-level outcomes, recovery behavior, Polyaxon execution evidence, and explicit operational ownership.
AI AgentsReliabilityInfrastructure
Rotate workload TLS with Kubernetes Pod certificates
Use Pod certificate projections and trust bundles for workload TLS, with signer prerequisites and rotation handling for long-running ML services.
KubernetesSecurityReliability