The quickest way to understand release signing is to do it once, by hand, with nothing but a key on disk. No cloud account, no CI, no cost. This first part of the signing series walks the whole loop on your laptop: make …
If your CLI tool can update itself, it has a decision to make that nobody is watching: when it pulls down a new version, should it trust what just landed? A checksum tells it the bytes match a manifest. It does not tell …
You’ve got a Python script that already does the job. It’s sat in a tools/ directory somewhere, it works, and every few weeks someone copies it onto a laptop that doesn’t have the right version of pandas and it falls …
On paper the macguffin service is finished. Part 5 left it typed, fast, documented and served over TLS. So you deploy it, traffic starts flowing, and a week later someone wanders over to say “it’s slow”. Slow how? Slow …
The google.api.http annotations we added in part 4 have done one job so far: they told the gateway which REST calls map to which RPCs. But they describe the API precisely, the paths, the verbs, the request and response …
A quick tally of where part 3 left us. One domain, the Store. One gRPC service over it, mapping the domain to proto with toProto. And then a whole second transport, the REST layer, with its own routing and its own toDTO …
The HTTP server from part 3 serves JSON. But net/http doesn’t care what you hand it: HTML, an image, a stylesheet, a whole little site, it’s all just bytes with a content type. So before we get back to the API in part 4, …
The gRPC service from part 2 is the right core for service-to-service traffic. It is also useless to a great many of the things that might want to call it: a browser, a webhook from some SaaS, a partner who will not …
The heartbeat from part 1 runs, ticks along, and shuts down politely when you ask it to. It also talks to absolutely no one. A service people can actually call needs an API, and for a typed, fast, streaming-capable one, …
A CLI does its job and gets out of the way. You run it, it prints something or writes a file, the process exits, done. Then one day you want the opposite: a thing that stays running. A server answering requests, a worker …
