The Langfuse migration that cost us a sprint: how I now budget LLM observability

The migration from the initial tracer to Langfuse in month eight took up significant time, revealing the hidden costs of managing trace data in an unowned schema. The unexpected effort underscored the importance of upfront cost assessment, especially in reliability-focused teams developing large language model features. Jasmine Park emphasizes that when issues arise, it's not just about pretty dashboards but the tangible costs of tools and downtime, making this a vital lesson for budgeting and planning observability strategies.