Skycfg

Skycfg is an extension library for the Starlark language that adds support for constructing Protocol Buffer messages. It was developed by Stripe to simplify configuration of Kubernetes services, Envoy routes, Terraform resources, and other complex configuration data.

At present, only the Go implementation of Starlark is supported.

Getting Started

The entry point to Skycfg is the skycfg.Load() function, which reads a configuration file from local disk. As the implementation stabilizes we expect to expand the public API surface so that Skycfg can be combined with other Starlark extensions.

Lets start with a simple main function that prints out every Protobuf message created by the config file hello.sky:

package main

import (
    "context"
    "fmt"
    "github.com/stripe/skycfg"
    _ "github.com/golang/protobuf/ptypes/wrappers"
)

func main() {
    ctx := context.Background()
    config, err := skycfg.Load(ctx, "hello.sky")
    if err != nil { panic(err) }
    messages, err := config.Main(ctx)
    if err != nil { panic(err) }
    for _, msg := range messages {
        fmt.Printf("%s\n", msg.String())
    }
}

# hello.sky
pb = proto.package("google.protobuf")

def main(ctx):
  return [pb.StringValue(value = "Hello, world!")]

Now we can build a small test driver and see what values are returned:

$ go get github.com/stripe/skycfg
$ go build -o test-skycfg
$ ./test-skycfg
value:"Hello, world!"
$

Success!

For more in-depth examples covering specific topics, see the _examples/ directory:

_examples/repl: Interactive evaluation of a Skycfg file
_examples/k8s: Basic Kubernetes integration
_examples/wasm: Skycfg in the browser with WebAssembly

Why use Skycfg?

Compared to bare YAML or TOML, the Python-like syntax of Skycfg might not seem like a win. Why would we want configuration files with all those quotes and colons and braces?

There are four important benefits to using Skycfg over YAML:

Type Safety

Protobuf has a statically-typed data model, which means the type of every field is known to Skycfg when it's building your configuration. There is no risk of accidentally assigning a string to a number, a struct to a different struct, or forgetting to quote a YAML value.

pb = proto.package("google.protobuf")

def main(ctx):
  return [pb.StringValue(value = 123)]

$ ./test-skycfg
panic: TypeError: value 123 (type `int') can't be assigned to type `string'.

Functions

As in standard Python, you can define helper functions to reduce duplicated typing and share logic.

pb = proto.package("google.protobuf")

def greet(lang):
  greeting = {
    "en": "Hello, world!",
    "fr": "Bonjour, monde!",
  }[lang]
  return pb.StringValue(value = greeting)

def main(ctx):
  return [greet("en"), greet("fr")]

$ ./test-skycfg
value:"Hello world!"
value:"Bonjour, monde!"

Modules

Starlark supports importing modules from other files, which you can use to share common code between configurations. By default the paths to load are resolved on the local filesystem, but you can also override the load() handler to support syntaxes such as Bazel-style target labels.

Modules can protect service owners from complex Kubernetes logic:

load("//config/common/kubernetes.sky", "kubernetes")

def my_service(ctx):
  return kubernetes.pod(
      name = "my-namespace/my-service",
      containers = [
          kubernetes.container(name = "main", image = "index.docker.io/hello-world"),
      ]
  )

When combined with VCS hooks like GitHub CODEOWNERS, you can use modules to provide an API surface for third-party tools deployed in your infrastructure:

load("//config/common/constants.sky",  "CLUSTERS")
load("//config/production/k8s_dashboard/v1.10.0/main.sky",
     "kubernetes_dashboard")

def main(ctx):
  return [
    kubernetes_dashboard(ctx, cluster = CLUSTERS['ord1']),
    kubernetes_dashboard(ctx, cluster = CLUSTERS['ord1-canary']),
  ]

Context Variables

Skycfg supports limited dynamic behavior through the use of context variables, which let the Go caller pass arbitrary key:value pairs in the ctx parameter.

func main() {
    // ...
    messages, err := config.Main(ctx, skycfg.WithVars(starlark.StringDict{
      "revision": starlark.String("master/12345"),
    }))

pb = proto.package("google.protobuf")

def main(ctx):
  print("ctx.vars:", ctx.vars)
  return []

$ ./test-skycfg
[hello.sky:4] ctx.vars: {"revision": "master/12345"}

Contributing

We welcome contributions from the community. For small simple changes, go ahead and open a pull request. Larger changes should start out in the issue tracker, so we can make sure they fit into the roadmap. Changes to the Starlark language itself (such as new primitive types or syntax) should be applied to https://github.com/google/starlark-go.

Stability

Skycfg depends on internal details of the go-protobuf generated code, and as such may need to be updated to work with future versions of go-protobuf. We will release Skycfg v1.0 after all dependencies on go-protobuf implementation details have been fixed, which will be after the "api-v2" branch lands in a stable release of go-protobuf.

Our existing public APIs are expected to be stable even before the v1.0 release. Symbols that will change before v1.0 are hidden from the public docs and named Unstable*.

Known issues

gogo/protobuf support

Skycfg has dropped support for gogo/protobuf, an alternative protobuf go code generator, when upgrading to using the go-protobuf v2 api. For using gogo support, see Skycfg@v0.1.0 (Skycfg prior to switching to v2).