Fastly has announced the beta release of its Image Optimizer (IO) integrated with Fastly Compute SDKs, offering enhanced flexibility for building sophisticated image optimization workflows at the edge. The integration allows users to architect and deliver image transformation pipelines with greater control, removing the constraints of traditional workflows and enabling advanced logic such as conditional transformations and integration with external services. This development simplifies architecture by eliminating the need for complex configurations while supporting multiple programming languages like Rust, JavaScript, and Go. Fastly's IO in Compute facilitates the creation of multi-layered workflows, enabling developers to combine image optimization with other application logics such as authentication, A/B testing, and database queries. This integration is aimed at improving user experience, reducing costs, and fostering innovation by allowing developers to experiment with new optimization strategies without platform limitations. The service is billed in aggregate with other Fastly services, and the company encourages users to start building with IO in Compute, inviting feedback and engagement through their developer community.