MLOps / AI
Deploying 200+ AI Agents on AWS Bedrock AgentCore
How we orchestrated 200+ specialized AI agents across production use cases — architecture, IAM, observability, and lessons learned the hard way.
Real-world deep dives on DevOps, MLOps, Data Engineering, and Generative AI. Written by engineers who ship production systems.
How we orchestrated 200+ specialized AI agents across production use cases — architecture, IAM, observability, and lessons learned the hard way.
Engineer-to-engineer: pricing, compliance, developer experience, latency, and when to actually pick each. No vendor bias.
Honest engineer comparison: tracking, registry, pipelines, serving, and cost. Plus the hybrid approach most teams actually end up using.
47 actionable techniques: right-sizing, Karpenter, Spot, networking, storage, observability. We cut a client's K8s bill by 61% using this exact checklist.
Step-by-step architecture for a production real-time lakehouse. From Kafka producers to sub-second Redshift queries — complete with IAM, cost, and gotchas.
How idle SageMaker endpoints silently drain cloud budgets — detection scripts, auto-cleanup Lambda, and the governance model that prevents recurrence.