YANFF is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance.
- Higher level abstractions than DPDK. Using DPDK as a fast I/O engine for performance
- Go language: safety, productivity, performance, concurrency
- Network functions are application programs not virtual machines
- Built-in scheduler to auto-scale processing based on input traffic. Both up and down.
- Easily leverage Intel hardware capabilities: multi-cores, AES-NI, CAT, QAT, DPDK
- 10x reduction in lines of code
- No need to be an expert network programmer to develop performant network function
- Similar performance with C/DPDK per box
- No need to worry on elasticity - done automatically
- Take advantage of cloud native deployment: continuous delivery, micro-services, containers
Simple ACL based firewall
// CheckFatal is an error handling function
func CheckFatal(err error) {
if err != nil {
fmt.Printf("checkfail: %+v\n", err)
os.Exit(1)
}
}
func main() {
// Initialize YANFF library to use 8 cores max.
config := flow.Config{
CPUCoresNumber: 8,
}
CheckFatal(flow.SystemInit(&config))
// Get filtering rules from access control file.
L3Rules, err := packet.GetL3ACLFromORIG("Firewall.conf")
CheckFatal(err)
// Receive packets from zero port. Receive queue will be added automatically.
inputFlow, err := flow.SetReceiver(uint8(0))
CheckFatal(err)
// Separate packet flow based on ACL.
rejectFlow, err := flow.SetSeparator(inputFlow, L3Separator, nil)
CheckFatal(err)
// Drop rejected packets.
CheckFatal(flow.SetStopper(rejectFlow))
// Send accepted packets to first port. Send queue will be added automatically.
CheckFatal(flow.SetSender(inputFlow, uint8(1)))
// Begin to process packets.
CheckFatal(flow.SystemStart())
}
// User defined function for separating packets
func L3Separator(currentPacket *packet.Packet, context flow.UserContext) bool {
currentPacket.ParseL4()
// Return whether packet is accepted or not. Based on ACL rules.
return currentPacket.L3ACLPermit(L3Rules)
}
YANFF is an Open Source BSD licensed project that runs mostly in Linux user land. The most recent patches and enhancements provided by the community are available in the master branch.
Use the go get command to download YANFF. You must first set your GOPATH
export GOPATH=/my/local/directory
go get -v -d github.com/intel-go/yanff
Go will download the sources into $GOPATH/src. It will try to build YANFF and fail with a message:
can't load package: package github.com/intel-go/yanff: no buildable Go source files in /localdisk/work/rscohn1/ws/yanff-test/src/github.com/intel-go/yanff
Ignore the message for now. We need to install some dependencies before you can build.
If you are working on a fork, then the go get command will not put yanff in $GOPATH/src/github.com/intel-go. However, imports will continue to reference githb.com/intel-go. This is a feature of Go and not a problem in the way yanff is written. See stackoverflow article for a discussion. A simple way to resolve the problem is to use a symlink. If you are rscohn2 on github, and you forked yanff into your personal account, then do this:
cd $GOPATH/src/github.com
mkdir intel-go
cd intel-go
ln -s ../rscohn2/yanff .
YANFF uses DPDK, so you must setup your system to build and run DPDK. See System Requirements in the DPDK Getting Started Guide for Linux for more information.
After building a DPDK driver with the make command, you must register network cards to work with the DPDK driver, load necessary kernel modules, and bind cards to the modules. See Compiling the DPDK Target from Source and How to get best performance with NICs on Intel platforms in the DPDK Getting Started Guide for Linux for more information.
The kernel module, which is required for DPDK user-mode drivers, is built but not installed into kernel directory. You can load it using the full path to the module file: $GOPATH/src/github.com/intel-go/yanff/test/dpdk/dpdk-17.08/x86_64-native-linuxapp-gcc/kmod/igb_uio.ko
Use Go version 1.9 or higher. To check the version of Go, do:
go version
$GOPATH/src/github.com/intel-go/yanff/scripts/get-depends.sh
export PATH="$PATH:$GOPATH"/bin
cd $GOPATH/src/github.com/intel-go/yanff
make -j8
Use: make doc
to generate full documentation. Alternatively, you can do:
godoc -http=:6060
and browse the following URLs:
Invoking make in the top-level directory builds the testing framework and examples. YANFF distributed tests are packaged inside of Docker container images. There are also single node unit tests in some packages that you can run using the command:
make testing
To create Docker images on the local default target (either the default UNIX socket in /var/run/docker.sock or whatever is defined in the DOCKER_HOST variable), use the make images command.
To deploy Docker images for use in distributed testing, use the make deploy command. This command requires two environment variables:
- YANFF_HOSTS="hostname1 hostname2 ... hostnameN"* - a list of all hostnames for deployed test Docker images
- DOCKER_PORT=2375* - the port number to connect to Docker daemons running on hosts in the YANFF_HOSTS variable
To delete generated images in the default Docker target, use the make clean-images command.
After the Docker images are deployed on all test hosts, you can run distributed network tests. The test framework is located in the test/main directory and accepts a JSON file with a test specification. There are predefined configs for performance and stability tests in the same directory. To run these tests, change hostname1 and hostname2 to the hosts from the YANFF_HOSTS list in these JSON files.
To clean all generated binaries, use the make clean command. To delete all deployed images listed in YANFF_HOSTS, use the make cleanall command.
If you use the make command from YANFF directories, the DPDK driver is downloaded automatically.
If you want to contribute to YANFF, check our Contributing guide. We also recommend checking the 'janitorial' bugs in our list of open issues; these bugs can be solved without an extensive knowledge of YANFF. We would love to help you start contributing.
You can reach the YANFF development team via our mailing list.