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An HTTP router and reverse proxy for service composition, including use cases like Kubernetes Ingress

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Quick Overview

Skipper is an HTTP router and reverse proxy for service composition. It acts as a custom, programmable HTTP router that can be used as a Kubernetes Ingress controller. Skipper provides advanced traffic routing capabilities, request and response modifications, and various middleware functionalities.

Pros

  • Highly customizable with a rich set of built-in filters and predicates
  • Supports dynamic routing updates without restarts
  • Integrates well with Kubernetes as an Ingress controller
  • Offers advanced traffic management features like rate limiting, circuit breaking, and blue-green deployments

Cons

  • Steeper learning curve compared to simpler reverse proxies
  • Configuration can become complex for advanced use cases
  • Limited community support compared to more popular alternatives like Nginx or Traefik
  • Documentation could be more comprehensive for some advanced features

Code Examples

  1. Basic route definition:
r1 := &eskip.Route{
    Id:          "hello",
    Path:        "/hello",
    BackendType: eskip.NetworkBackend,
    Backend:     "https://example.org",
}
  1. Using filters to modify requests:
r2 := &eskip.Route{
    Path:        "/api",
    Filters: []*eskip.Filter{
        {Name: "setRequestHeader", Args: []interface{}{"X-Custom-Header", "foo"}},
        {Name: "rateLimit", Args: []interface{}{10, "1m"}},
    },
    Backend: "https://api.example.com",
}
  1. Defining a route with predicates:
r3 := &eskip.Route{
    Predicates: []*eskip.Predicate{
        {Name: "Method", Args: []interface{}{"GET"}},
        {Name: "Header", Args: []interface{}{"Accept", "application/json"}},
    },
    Path:    "/data",
    Backend: "https://data.example.com",
}

Getting Started

To get started with Skipper, follow these steps:

  1. Install Skipper:

    go get github.com/zalando/skipper/cmd/skipper
    
  2. Create a simple routes file (e.g., routes.eskip):

    * -> setResponseHeader("X-Powered-By", "Skipper") -> "https://example.org"
    
  3. Run Skipper with the routes file:

    skipper -routes-file routes.eskip
    
  4. Test the proxy:

    curl -v localhost:9090
    

This will start Skipper on port 9090, forwarding all requests to example.org and adding a custom header to the response.

Competitor Comparisons

50,858

The Cloud Native Application Proxy

Pros of Traefik

  • More extensive feature set, including automatic HTTPS and Let's Encrypt integration
  • Better documentation and community support
  • Easier configuration with auto-discovery of services

Cons of Traefik

  • Higher resource consumption, especially in large-scale deployments
  • Steeper learning curve for advanced configurations
  • Less flexibility in custom routing logic compared to Skipper

Code Comparison

Traefik configuration (YAML):

http:
  routers:
    my-router:
      rule: "Host(`example.com`) && PathPrefix(`/api`)"
      service: my-service

Skipper configuration (Eskip):

myroute: Host("example.com") && PathSubtree("/api")
    -> setPath("/api")
    -> "http://my-service";

Both Traefik and Skipper are popular reverse proxy and load balancing solutions. Traefik offers a more comprehensive feature set and easier configuration, making it suitable for various use cases. Skipper, developed by Zalando, provides more flexibility in custom routing logic and may be more efficient in large-scale deployments. The choice between the two depends on specific project requirements, scalability needs, and the desired level of customization.

35,857

Connect, secure, control, and observe services.

Pros of Istio

  • More comprehensive service mesh solution with advanced traffic management, security, and observability features
  • Robust ecosystem and wide industry adoption, leading to better community support and integrations
  • Supports multiple platforms and environments, including Kubernetes and VMs

Cons of Istio

  • Higher complexity and steeper learning curve compared to Skipper
  • Requires more resources and can introduce performance overhead
  • More challenging to set up and maintain in smaller or simpler environments

Code Comparison

Skipper route definition:

route1: Path("/foo") -> "https://example.org";

Istio VirtualService definition:

apiVersion: networking.istio.io/v1alpha3
kind: VirtualService
metadata:
  name: example-vs
spec:
  hosts:
  - example.com
  http:
  - match:
    - uri:
        prefix: "/foo"
    route:
    - destination:
        host: example.org

The code comparison shows that Skipper uses a more concise syntax for defining routes, while Istio requires a more verbose YAML configuration. This reflects the difference in complexity and feature set between the two projects, with Istio offering more advanced routing capabilities at the cost of increased configuration complexity.

24,693

Cloud-native high-performance edge/middle/service proxy

Pros of Envoy

  • More extensive feature set, including advanced load balancing, observability, and security capabilities
  • Larger community and ecosystem, with broader adoption in cloud-native environments
  • Better performance and scalability for high-traffic scenarios

Cons of Envoy

  • Steeper learning curve and more complex configuration
  • Higher resource consumption, especially for smaller deployments
  • Less focus on simplicity and ease of use compared to Skipper

Code Comparison

Skipper route definition:

route1: Path("/api/v1") -> "https://api.example.com";

Envoy route configuration:

routes:
  - match:
      prefix: "/api/v1"
    route:
      cluster: api_cluster

Summary

Envoy is a more feature-rich and widely adopted proxy, suitable for complex, high-performance scenarios in cloud-native environments. It offers advanced capabilities but comes with increased complexity and resource usage. Skipper, on the other hand, focuses on simplicity and ease of use, making it a good choice for smaller deployments or teams prioritizing quick setup and straightforward configuration. The choice between the two depends on specific project requirements, team expertise, and scalability needs.

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🦍 The Cloud-Native API Gateway and AI Gateway.

Pros of Kong

  • More extensive plugin ecosystem with 100+ plugins available
  • Supports multiple databases (PostgreSQL, Cassandra) for configuration storage
  • Offers enterprise features and commercial support options

Cons of Kong

  • Heavier resource footprint, potentially higher operational costs
  • More complex setup and configuration process
  • Steeper learning curve for newcomers

Code Comparison

Kong (Lua):

local kong = kong
local request_uri = ngx.var.request_uri

if string.match(request_uri, "^/api/") then
    kong.service.request.set_path("/v1" .. request_uri:sub(5))
end

Skipper (Go):

r.Handle("/api/*", eskip.NewProxy(
    eskip.NewStaticBackend("https://api.example.com"),
    eskip.ModPath("^/api", "/v1"),
))

Both examples show how to modify the request path for API routing, but Kong uses Lua within the NGINX configuration, while Skipper uses Go with its custom DSL.

Kong offers more out-of-the-box features and a larger ecosystem, making it suitable for complex, enterprise-grade deployments. Skipper, on the other hand, is lighter, more focused on Kubernetes integration, and easier to get started with for simpler use cases. The choice between them depends on specific project requirements, existing infrastructure, and team expertise.

24,812

The official NGINX Open Source repository.

Pros of nginx

  • Widely adopted and battle-tested in production environments
  • Excellent performance and low resource usage
  • Extensive documentation and community support

Cons of nginx

  • Less flexible routing capabilities compared to Skipper
  • Configuration can be complex for advanced use cases
  • Limited built-in support for modern microservices patterns

Code Comparison

nginx configuration:

http {
    server {
        listen 80;
        location / {
            proxy_pass http://backend;
        }
    }
}

Skipper route:

r1: * -> setPath("/api") -> "https://api.example.com";

Summary

nginx is a well-established web server and reverse proxy with excellent performance and widespread adoption. It excels in traditional web serving scenarios but may require more effort for complex routing in microservices architectures.

Skipper, on the other hand, is designed specifically for modern API gateway and microservices use cases. It offers more flexible routing capabilities and easier integration with Kubernetes environments. However, it may not have the same level of maturity and community support as nginx.

The choice between nginx and Skipper depends on the specific requirements of your project, with nginx being a solid choice for general-purpose web serving and Skipper offering advantages in microservices-oriented architectures.

4,905

HAProxy Load Balancer's development branch (mirror of git.haproxy.org)

Pros of HAProxy

  • Mature and battle-tested: HAProxy has been around since 2001, offering robust performance and reliability
  • Extensive feature set: Supports a wide range of load balancing algorithms, SSL termination, and advanced health checks
  • High performance: Known for its ability to handle large numbers of concurrent connections efficiently

Cons of HAProxy

  • Configuration complexity: Can be more challenging to configure compared to Skipper, especially for beginners
  • Less focus on API gateway features: While it can be used as an API gateway, it's not its primary focus like Skipper
  • Limited dynamic reconfiguration: Requires more effort to implement dynamic routing changes compared to Skipper

Code Comparison

HAProxy configuration example:

frontend http-in
    bind *:80
    default_backend servers

backend servers
    balance roundrobin
    server server1 127.0.0.1:8000 check
    server server2 127.0.0.1:8001 check

Skipper route definition example:

r1: * -> setPath("/api/v1") -> "https://api.example.com";
r2: Path("/foo") -> setPath("/bar") -> "https://backend.example.com";

While HAProxy uses a more traditional configuration file format, Skipper employs a domain-specific language for defining routes, which can be more intuitive for API gateway use cases.

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README

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Skipper

Skipper

Skipper is an HTTP router and reverse proxy for service composition. It's designed to handle >300k HTTP route definitions with detailed lookup conditions, and flexible augmentation of the request flow with filters. It can be used out of the box or extended with custom lookup, filter logic and configuration sources.

Main features:

An overview of deployments and data-clients shows some use cases to run skipper.

Skipper

  • identifies routes based on the requests' properties, such as path, method, host and headers
  • allows modification of the requests and responses with filters that are independently configured for each route
  • simultaneously streams incoming requests and backend responses
  • optionally acts as a final endpoint (shunt), e.g. as a static file server or a mock backend for diagnostics
  • updates routing rules without downtime, while supporting multiple types of data sources — including etcd, Kubernetes Ingress, static files, route string and custom configuration sources
  • can serve as a Kubernetes Ingress controller without reloads. You can use it in combination with a controller that will route public traffic to your skipper fleet; see AWS example
  • shipped with
    • eskip: a descriptive configuration language designed for routing rules
    • routesrv: proxy to omit kube-apiserver overload leveraging Etag header to reduce amount of CPU used in your skipper data plane
    • webhook: Kubernetes validation webhook to make sure your manifests are deployed safely

Skipper provides a default executable command with a few built-in filters. However, its primary use case is to be extended with custom filters, predicates or data sources. Go here for additional documentation.

A few examples for extending Skipper:

Getting Started

Prerequisites/Requirements

In order to build and run Skipper, only the latest version of Go needs to be installed. Skipper can use Innkeeper or Etcd as data sources for routes, or for the simplest cases, a local configuration file. See more details in the documentation: https://pkg.go.dev/github.com/zalando/skipper

Installation

From Binary

Download binary tgz from https://github.com/zalando/skipper/releases/latest

Example, assumes that you have $GOBIN set to a directory that exists and is in your $PATH:

% curl -LO https://github.com/zalando/skipper/releases/download/v0.14.8/skipper-v0.14.8-linux-amd64.tar.gz
% tar xzf skipper-v0.14.8-linux-amd64.tar.gz
% mv skipper-v0.14.8-linux-amd64/* $GOBIN/
% skipper -version
Skipper version v0.14.8 (commit: 95057948, runtime: go1.19.1)
From Source
% git clone https://github.com/zalando/skipper.git
% make
% ./bin/skipper -version
Skipper version v0.14.8 (commit: 95057948, runtime: go1.19.3)

Running

Create a file with a route:

echo 'hello: Path("/hello") -> "https://www.example.org"' > example.eskip

Optionally, verify the file's syntax:

eskip check example.eskip

If no errors are detected nothing is logged, else a descriptive error is logged.

Start Skipper and make an HTTP request:

skipper -routes-file example.eskip &
curl localhost:9090/hello
Docker

To run the latest Docker container:

docker run registry.opensource.zalan.do/teapot/skipper:latest

To run eskip you first mount the .eskip file, into the container, and run the command

docker run \
  -v $(PWD)/doc-docker-intro.eskip:/doc-docker-intro.eskip \
  registry.opensource.zalan.do/teapot/skipper:latest eskip print doc-docker-intro.eskip

To run skipper you first mount the .eskip file, into the container, expose the ports and run the command

docker run -it \
    -v $(PWD)/doc-docker-intro.eskip:/doc-docker-intro.eskip \
    -p 9090:9090 \
    -p 9911:9911 \
    registry.opensource.zalan.do/teapot/skipper:latest skipper -routes-file doc-docker-intro.eskip

Skipper will then be available on http://localhost:9090

Authentication Proxy

Skipper can be used as an authentication proxy, to check incoming requests with Basic auth or an OAuth2 provider or an OpenID Connect provider including audit logging. See the documentation at: https://pkg.go.dev/github.com/zalando/skipper/filters/auth.

Working with the code

Getting the code with the test dependencies (-t switch):

git clone https://github.com/zalando/skipper.git
cd skipper

Build and test all packages:

make deps
make install
make lint
make shortcheck

On Mac the tests may fail because of low max open file limit. Please make sure you have correct limits setup by following these instructions.

Working from IntelliJ / GoLand

To run or debug skipper from IntelliJ IDEA or GoLand, you need to create this configuration:

ParameterValue
TemplateGo Build
Run kindDirectory
Directoryskipper source dir + /cmd/skipper
Working directoryskipper source dir (usually the default)

Kubernetes Ingress

Skipper can be used to run as an Kubernetes Ingress controller. Details with examples of Skipper's capabilities and an overview you will can be found in our ingress-controller deployment docs.

For AWS integration, we provide an ingress controller https://github.com/zalando-incubator/kube-ingress-aws-controller, that manage ALBs or NLBs in front of your skipper deployment. A production example for skipper and a production example for kube-ingress-aws-controller, can be found in our Kubernetes configuration https://github.com/zalando-incubator/kubernetes-on-aws.

Documentation

Skipper's Documentation and Godoc developer documentation, includes information about deployment use cases and detailed information on these topics:

1 Minute Skipper introduction

The following example shows a skipper routes file in eskip format, that has 3 named routes: baidu, google and yandex.

% cat doc-1min-intro.eskip
baidu:
        Path("/baidu")
        -> setRequestHeader("Host", "www.baidu.com")
        -> setPath("/s")
        -> setQuery("wd", "godoc skipper")
        -> "http://www.baidu.com";
google:
        *
        -> setPath("/search")
        -> setQuery("q", "godoc skipper")
        -> "https://www.google.com";
yandex:
        * && Cookie("yandex", "true")
        -> setPath("/search/")
        -> setQuery("text", "godoc skipper")
        -> tee("http://127.0.0.1:12345/")
        -> "https://yandex.ru";

Matching the route:

  • baidu is using Path() matching to differentiate the HTTP requests to select the route.
  • google is the default matching with wildcard *
  • yandex is the default matching with wildcard * if you have a cookie yandex=true

Request Filters:

  • If baidu is selected, skipper sets the Host header, changes the path and sets a query string to the http request to the backend "http://www.baidu.com".
  • If google is selected, skipper changes the path and sets a query string to the http request to the backend "https://www.google.com".
  • If yandex is selected, skipper changes the path and sets a query string to the http request to the backend "https://yandex.ru". The modified request will be copied to "http://127.0.0.1:12345/"

Run skipper with the routes file doc-1min-intro.eskip shown above

% skipper -routes-file doc-1min-intro.eskip

To test each route you can use curl:

% curl -v localhost:9090/baidu
% curl -v localhost:9090/
% curl -v --cookie "yandex=true" localhost:9090/

To see the shadow traffic request that is made by the tee() filter you can use nc:

[terminal1]% nc -l 12345
[terminal2]% curl -v --cookie "yandex=true" localhost:9090/

3 Minutes Skipper in Kubernetes introduction

This introduction was moved to ingress controller documentation.

For More details, please check out our Kubernetes ingress controller docs, our ingress usage and how to handle common backend problems in Kubernetes.

Packaging support

See https://github.com/zalando/skipper/blob/master/packaging/readme.md

In case you want to implement and link your own modules into your skipper, there is https://github.com/skipper-plugins organization to enable you to do so. In order to explain you the build process with custom Go modules there is https://github.com/skipper-plugins/skipper-tracing-build, that was used to build skipper's opentracing package. We moved the opentracing plugin source into the tracing package, so there is no need to use plugins for this case.

Because Go plugins are not very well supported by Go itself we do not recommend to use plugins, but you can extend skipper and build your own proxy.

Community

User or developer questions can be asked in our public Google Group

We have a slack channel #skipper in gophers.slack.com. Get an invite. If for some reason this link doesn't work, you can find more information about the gophers communities here.

The preferred communication channel is the slack channel, because the google group is a manual process to add members. Feel also free to create an issue, if you dislike chat and post your questions there.

Proposals

We do our proposals open in Skipper's Google drive. If you want to make a proposal feel free to create an issue and if it is a bigger change we will invite you to a document, such that we can work together.

Users

Zalando used this project as shop frontend http router with 350000 routes. We use it as Kubernetes ingress controller in more than 100 production clusters. With every day traffic between 500k and 7M RPS serving 15000 ingress and 3750 RouteGroups at less than ¢5/1M requests. We also run several custom skipper instances that use skipper as library.

Sergio Ballesteros from spotahome said 2018:

We also ran tests with several ingress controllers and skipper gave us the more reliable results. Currently we are running skipper since almost 2 years with like 20K Ingress rules. The fact that skipper is written in go let us understand the code, add features and fix bugs since all of our infra stack is golang.

In the media

Blog posts:

Conference/Meetups talks

Version promise

Skipper will update the minor version in case we have either:

We expect that skipper library users will use skipper.Run(skipper.Options{}) as main interface that we do not want to break. Besides the Kubernetes v1beta1 removal there was never a change that removed an option. We also do not want to break generic useful packages like net. Sometimes we mark library functions, that we expect to be useful as experimental, because we want to try and learn over time if this is a good API decision or if this limits us.

This promise we hold considering the main, filter, predicate, dataclient, eskip interfaces and generic packages. For other packages, we have more weak promise with backwards compatibility as these are more internal packages. We try to omit breaking changes also in internal packages. If this would mean too much work or impossible to build new functionality as we would like, we will do a breaking change considering strictly semantic versioning rules.

How to update

Every update that changes the minor version (the m in v0.m.p), should be done by +1 only. So v0.N.x to v0.N+1.y and you should read v0.N+1.0 release page to see what can break and what you have to do in order to have no issues while updating.