Go for the services that must not surprise you
APIs, workers, ingestion services and internal tooling in Go — chosen when predictable latency, small footprints and a single deployable binary matter more than framework convenience.
Good reasons to pick Go
Latency has to be predictable
Hot paths where p99 matters and a garbage-collection pause or a fat framework is not acceptable.
Deployment must be trivial
One static binary, no runtime to install — useful for edge, sidecars and CLI tooling your team will actually use.
A hot component inside a bigger system
Extracting the expensive 5% of a monolith into a Go service, with a contract that keeps the rest unchanged.
Go is a good default for infrastructure-shaped problems and a poor one for sprawling business rules. We use it where the constraint is operational.
Boring on purpose
We write standard-library-first Go: explicit errors, small packages, few dependencies. The result is code that a team can maintain without learning a house style, and services that behave the same in year three as on day one.
Observability is part of the first commit — structured logs, metrics and traces — because a Go service usually ends up somewhere latency is measured.
Extraction over rewrite
When Go is introduced into an existing platform, we carve out one responsibility with a measurable target, run it in parallel with the old path, and compare results under real traffic before switching over.
That keeps the decision reversible, which is the only way to justify adding a second language to a stack.
Adding a language to your stack needs an operational reason, not a preference.
Work like this usually touches
Have a component that needs to be small, fast and predictable?
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