When your API performances becomes a thing, is switching to GO the ultimate solution ?

This page summarizes the projects mentioned and recommended in the original post on /r/golang
Data structures Protobuf protocol-buffers protocol-compiler protobuf-runtime

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  • Protobuf

    Protocol Buffers - Google's data interchange format

  • lua-nginx-module

    Embed the Power of Lua into NGINX HTTP servers

    • Depending on how complicated your Python logic is, one option is to use nginx+Lua (https://github.com/openresty/lua-nginx-module). Another option is to extend Envoy (https://www.envoyproxy.io/docs/envoy/latest/extending/extending).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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