Learn how to turn your billing data into clear, actionable answers — using Training Objects and conversational insights that actually explain what changed and what to do next.
AI spend patterns that standard FinOps tools miss — cross-service billing disguises, OCU floor costs, inference waste, and detection logic for the new AI infrastructure stack.
Internet-validated detection patterns for cloud cost anomalies — waste, spikes, commitment loss, data transfer leaks, security events, and more.
Foundational concepts, terminology, and operating models for cloud financial management.
Deep dives into CUR, FOCUS v1, cost tracking strategies, and common billing pitfalls.
IaC patterns, cost guardrails, and automation modules for enforcing FinOps at scale.
Real Lambda functions and scripts for alerts, tagging, cleanup, and cost control.
Building robust billing data pipelines with S3, Glue, Athena, and query optimization.
From static charts to conversational insights — how to turn billing data into decisions.
How LLMs enhance cloud cost management — what works, what doesn't, and what's coming.
Terraform modules, playbooks, and checklists to get a FinOps practice off the ground fast.
Real results: cost reductions, automation wins, and FinOps transformations.
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