Before starting to dive into the KrakenD code, spend a few minutes understanding the big pieces of the system, how it works, and the philosophy behind it.
Let’s start with the rules followed to code KrakenD (shared with The Lura Project), as they answer to architectural design questions:
When you start KrakenD, the system goes through two different internal states: building and working. Let’s see what happens in every state.
The building state administers the service start-up and prepares the system before it can start receiving traffic. During the building state, three things happen:
pipe is a function that receives a request message, processes it, and produces the response message and an error. The KrakenD router binds the pipes to the selected transport layer (e.g., HTTP, gRPC).
When the building state finishes, the KrakenD service is not going to need to calculate any route or lookup for the associated handler function, as all the mapping is direct in-memory.
The working state is when the system is ready and can process the requests. When they arrive, the
router already has the mapping of the request with the handler function and triggers the pipe execution. The
proxy is the step of the pipe that manipulates, aggregates, and does other data handling for the rest of the process.
As the handler functions are in the previous step, KrakenD doesn’t penalize the performance depending on the number of endpoints or the possible cardinality of the URIs requested by the users.
The Lura Project (KrakenD’s engine) is composed of a set of packages designed as building blocks for creating pipes and processors between an exposed endpoint and one or several API resources served by your backends.
The most important packages are:
configpackage defines the service.
routerpackage sets up the endpoints exposed to the clients.
proxypackage adds the required middlewares and components for further processing of the requests to send and the received responses sent by the backends, and also to manage the connections against those backends.
The rest of the packages of the framework contain some helpers and adapters for additional tasks, like encoding, logging or service discovery.
Additionally, the KrakenD-CE bundles a lot of middleware and components that are in its scope and package. These packages and others are listed in our KrakenD Contrib repository.
config package contains the structs required for the service description.
ServiceConfig struct defines the entire service. Initialize it before using it to be sure that all parameters are normalized and default values are applied.
config package also defines an interface for a file config parser and a parser based on the Viper library.
router package contains an interface and several implementations for the KrakenD router layer using the
mux router from the
net/http and the
httprouter wrapped in the
The router layer is responsible for setting up the HTTP(S) services, binding the endpoints defined at the
ServiceConfig struct and transforming the HTTP request into proxy requests before delegating the task to the inner layer (proxy). Once the internal proxy layer returns a proxy response, the router layer converts it into a proper HTTP response and sends it to the user.
This layer can be easily extended to use any HTTP router, framework or middleware of your choice. Adding transport layer adapters for other protocols (Thrift, gRPC, AMQP, NATS, and others) is in the roadmap. As always, PRs are welcome!
proxy package is where most of the KrakenD components and features are. It defines two important interfaces, designed to be stacked:
This layer transforms the request received from the outer layer (router) into a single or several requests to your backend services, processes the responses and returns a single response.
Middlewares generates custom proxies that are chained depending on the workflow defined in the configuration until each possible branch ends in a transport-related proxy. Every one of these generated proxies can transform the input or even clone it several times and pass it or them to the next element in the chain. Finally, they can also modify the received response or responses adding all kinds of features to the generated pipe.
The Lura Project provides a default implementation of the proxy stack factory.
balancingmiddleware uses some strategy for selecting a backend host to query.
concurrentmiddleware improves the QoS by sending several concurrent requests to the next step of the chain and returning the first successful response using a timeout for canceling the generated workload.
loggingmiddleware logs the received request and response and also the duration of the segment execution.
mergingmiddleware is a fork-and-join middleware. It is intended to split the process of the request into several concurrent processes, each one against a different backend, and to merge all the received responses from those created pipes into a single one. It applies a timeout, as the
httpmiddleware completes the received proxy request by replacing the parameters extracted from the user request in the defined
httpproxy translates a proxy request into an HTTP one, sends it to the backend API using an
HTTPClientFactory, decodes the returned HTTP response with a
Decoder, manipulates the response data with an
EntityFormatterand returns it to the caller.
proxy package also defines the
EntityFormatter, the block responsible for enabling a powerful and fast response manipulation.
The documentation is only a piece of the help you can get! Whether you are looking for Open Source or Enterprise support, see more support channels that can help you.