14 docs tagged with "observability"

Map business KPIs and customer journeys to observable events. Outcome SLOs, conversion signals, and business-layer instrumentation for unified observability.

Eval-gated model swap and rollback at the LLM gateway: change records, traffic split, and when canary becomes stable.

Connect business KPIs to service traces and infrastructure signals. Correlation IDs, journey mapping, and the observability graph for unified enterprise operations.

Hub for eval engineering playbooks — golden datasets, synthetic generation, online scoring, human review, LLM-as-judge, and per-plane recipes.

Curated third-party articles, guides, and tool docs on LLM and agent evaluation — mapped to the Eval Framework Blueprint series.

How to design, version, and maintain golden datasets for plane-aware evaluation — representative tasks, edge cases, adversarial cases, and production replays.

Discipline rules for enterprise observability. Structured logs, correlation IDs, KPI mapping, alert ownership, and telemetry purpose in regulated environments.

Monitor compute, Kubernetes, network, and storage with signals linked to service identities. Infrastructure-layer observability for unified enterprise stacks.

L0 through L5 observability maturity model for enterprises. Gap analysis, scoring checklist, and roadmap from reactive logs to business-aware and predictive operations.

Hub for unified observability playbooks. Business, service, and infrastructure layers, correlation graph, governance, maturity, and operating model.

How to run online evaluation on live traffic — sampling, shadow scoring, canary eval, drift detection, and promoting production signals back into golden datasets.

RACI and team boundaries for unified observability. Product, engineering, platform, SRE, and architecture responsibilities in regulated enterprises.

Golden intent sets, release gates, adversarial coverage, and incident replay for Plane ① routing — aligned with Eval Input plane.

Instrument applications with latency, traffic, errors, saturation, distributed traces, and SLIs/SLOs. Service-layer observability for unified enterprise stacks.