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12 docs tagged with "operations"

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AI Agent Monitoring and Operations

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

Autonomous Response

AI Agent-based autonomous incident response — Strands/Kagent integration, Chaos Engineering + AI, ontology feedback loop

Data Infrastructure

Operating vector databases, embedding stores, and data layer infrastructure for Agentic AI platforms

Observability & Monitoring

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

Operations & Cost

Covers EKS Hybrid Nodes Mixed Mode operational patterns, Cluster Insights configuration validation, monitoring, and cost optimization based on vCPU-hour billing.

Operations & Governance

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

Operations & Reliability

Best practices for stable EKS cluster operations including GitOps, troubleshooting, high availability, and Pod lifecycle management

Operations and Cost Optimization

Operational best practices for EKS Hybrid Nodes — mixed mode workload placement, configuration validation with Cluster Insights and nodeadm debug, monitoring architecture, and cost optimization based on tiered vCPU-hour billing.

Predictive Operations

ML-based predictive scaling and anomaly detection — Karpenter+AI, CloudWatch Anomaly Detection, AI Right-Sizing

Upgrades and Lifecycle Management

Kubernetes version upgrade strategy for EKS Hybrid Nodes — covers how nodeadm upgrade works, the mandatory manual cordon/drain, handling SSM signing key expiration (nodeadm 1.0.19+), private mirror configuration for air-gapped networks, and the upgrade runbook.