Platform Runtime

Responsibilities

• Standardize runtime execution for services and apps (language runtimes, containers).
• Define upgrade and compatibility strategy (versioning, rollout, rollback).
• Provide performance envelopes and platform invariants (timeouts, limits, caches).

Key interfaces

• Runtime configuration surface (env/config/feature flags).
• Build/run pipeline contract (artifacts, provenance, signatures).
• Runtime lifecycle hooks (startup/shutdown, readiness, graceful drain).

Operational signals

These are the measurements that tell you whether this layer is healthy in production.

• CPU/memory utilization by workload class; throttling rate.
• Deploy success rate, rollback frequency, and MTTR by environment.
• GC/heap pressure (where relevant) and request tail latency.

Failure modes

• Incompatible runtime upgrades causing widespread regressions.
• Config drift between environments.
• Unbounded resource usage due to missing limits.

Production readiness checklist

• Pin versions; use canary/gradual rollout with automated rollback signals.
• Centralize config with validation and default-deny feature flags.
• Set budgets (CPU/memory/timeouts) and enforce via policy.