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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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You don't have to give up clean code to achieve high performance. The complexity can be isolated and contained.
For example, take a look at ClickHouse codebase: https://github.com/ClickHouse/ClickHouse/
There is all sort of things: leaky abstractions, specializations for optimistic fast paths, dispatching on algorithms based on data distribution, runtime CPU dispatching, etc. Video: https://www.youtube.com/watch?v=ZOZQCQEtrz8
But: it has clean interfaces, virtual calls, factories... And, most importantly - a lot of code comments. And when you have a horrible piece of complexity, it can be isolated into a single file and will annoy you only when you need to edit that part of the project.
Disclaimer. I'm promoting ClickHouse because it deserves that.
For the longest time Rails was also incredibly slow at generating JSON, of all things. JBuilder [1] was a few orders of magnitude slower than using .to_json directly or other libraries.
[1] https://github.com/rails/jbuilder, maintained by DHH and the Rails team. AFAIR, the "official" JSON serialization DSL.
Honestly in many cases you can have your cake and eat it too if you just write in a functional or data-flow style rather than a rigorous OO style. Since this is C++, using std::algorithm or another algorithms library would let you abstract your implementation details while relying on the compiler's ability to optimise/vectorise/inline code as needed.
This applies doubly so if you can rely on templates & structural typing to push your polymorphism to compile time. clang & gcc are surprisingly good at optimisation as long when you don't have to bounce off a vtable and code is clean / avoids "manual optimisation".
Also while I'm not saying I don't believe the author here, I wish they would have used https://quick-bench.com/ or https://godbolt.org/ so that readers could trivially verify the results & methodology.