Optimization is one of the most challenging parts of our work. It involved a lot of layers, from business to technical team, but it has a significant output: cost/time-saving.
As developers, we love optimization: algorithms, network costs, database queries, and data structures.
Anyway, some optimizations are expensive to implement. In this talk, we will see one: replacing JSON with seqproto, a utility for data serialization.
We see why JSON is not an optimal solution where the performance matters and how the seqproto library helps.