Some lessons from experience: redis as a caching layer. Implement high-performance code in a systems language and use bindings (i.e. ctypes in Python to call

Some lessons from experience: redis as a caching layer. Implement high-performance code in a systems language and use bindings (i.e. ctypes in Python to call C code) for critical speedups. Avoid lambdas and any other "serverless" code that is 10x slower and 10x more expensive than a cloud instance. Figure out the bottleneck in a complex workflow and pre-compute as much as possible before the workflow begins, accepting stale data within defined parameters. Manage your own memory.