Policy Orchestration Across Clusters: Central Control, Local Autonomy
Distribute and govern policies across many clusters: central visibility and rollout with guardrails that respect local autonomy.
our insights
Distribute and govern policies across many clusters: central visibility and rollout with guardrails that respect local autonomy.
Evolve golden paths beyond web APIs: multi‑runtime templates (batch, data, serverless) with built‑in test orchestration and environments.
Optimize for both spend and sustainability: region choices, time‑of‑day scheduling, and policy guardrails for Kubernetes workloads.
Use AI safely in operations: retrieval‑augmented runbooks, incident copilots, and policy guardrails with full auditability.
Guardrails that keep AI-driven automation from wrecking prod: contracts, flags, tests, and fast kill switches.
Run sidecarless mesh models in production: traffic, policy, and mTLS without per‑pod sidecars—operational tradeoffs and runbooks.