Tecton 0.8 introduces significant improvements in performance and infrastructure costs, with potential reductions of up to 100x for feature platform cost and serving latency. The new Bulk Load Capability enables cost-effective backfilling of historical data, while the Feature Serving Cache lowers cost and latency for online feature retrieval. Additionally, Tecton 0.8 offers more powerful ML features, including Custom Environments for On-Demand Feature Views and Secondary Key Aggregations, which enable the creation of complex recommendation systems and other advanced models. The platform also introduces a new Repo Config file for simpler feature definitions and improved usability, including offline feature retrieval and testing methods. With these capabilities, Tecton 0.8 aims to accelerate real-time AI development while maintaining model performance, infrastructure cost, and user experience.