#observability

Deploy OpenClaw AI Agent Gateway on EKS with cost optimization, and achieve full observability using Bifrost Auto-Router + Cilium Hubble + Langfuse

AI platform monitoring, observability, evaluation, compliance, and domain-specific operations guide

Langfuse-based agent monitoring operations — monitoring architecture, key metrics, PromQL, alerting, and cost tracking (for tool comparison, see LLMOps Observability)

Agent execution tracing, LLM serving optimization monitoring, cache tuning quality validation, and agent lifecycle observability

Connect cache efficiency, KV capacity, latency, and routing across seven observability layers, with explicit delivery, evaluation coverage, and quality gates.

LLMOps observability tool comparison — Langfuse·LangSmith·Helicone·CloudWatch selection criteria and hybrid architecture (for Langfuse operations, see Agent Monitoring)

Define cached-token, turn-gap, and preemption data contracts, correlation limits, and non-inferiority quality gates for prefix cache tuning.

Agent operations KPIs including task success rate, tool-call accuracy, hallucination rate, cost per interaction, escalation rate, and Langfuse·OTel schema

The data foundation of AIDLC Operations — building 3-Pillar observability + AI analysis layer

Comprehensive troubleshooting guide for systematically diagnosing and resolving application and infrastructure issues in Amazon EKS environments

EKS observability stack configuration and incident detection strategies - Container Insights, Prometheus, ADOT

Covers the 1-hour TTL constraint of EKS Kubernetes events, export pipeline design, and AI Agent query architecture based on the EKS and CloudWatch MCP servers.

The Network Flow Monitor agent's TCP callbacks, userspace aggregation, Kubernetes metadata, OTLP publishing, and EKS troubleshooting.

Architecture, deployment strategies, limitations, and best practices for the AWS EKS Node Monitoring Agent that automatically detects and reports node health issues

Observability implementation guide for EKS Hybrid Nodes — covers Cluster Insights configuration self-diagnosis, CloudWatch Container Insights hybrid configuration (RUN_WITH_IRSA), NVIDIA GPU metric integration, a Cilium Hubble-based eBPF dashboard, and Network Flow Monitor applicability analysis.