observability

Enterprise-grade patterns for Model Context Protocol implementations including tool composition, multi-agent orchestration, role-based access control, and production observability.

A comprehensive technical guide to building production-grade prompt engineering systems, covering systematic design, security, observability, and cost optimization for enterprise LLM applications.

A comprehensive guide to securing AI agents in production with AWS Bedrock Guardrails, defense-in-depth strategies, and practical implementation patterns for preventing prompt injection, tool misuse, and multi-agent attacks.

Token-based pricing creates unique cost challenges for production LLM applications. Learn systematic optimization strategies including prompt caching, model routing, and token budgets to reduce costs by 60-80% without sacrificing quality.

A comprehensive beginner's guide to OpenTelemetry covering traces, metrics, and logs with practical implementation examples, common pitfalls, and a detailed terminology glossary.

Moving past dashboards full of green lights to build observability systems that tell compelling narratives about system behavior, user journeys, and business impact through distributed tracing and AI-powered analysis

Real-world debugging techniques, monitoring strategies, and lessons learned from notification system failures in high-stakes production environments

Comprehensive production monitoring and debugging strategies for AWS Lambda based on real-world incident response, featuring CloudWatch metrics, X-Ray tracing, structured logging, and effective alerting patterns.