NOTE: This project uses an experimental feature from jbpf. It is not meant to be used in production environments.
This repository is a extension for jbpf demonstrating how to utilize protobuf serialization as part of jbpf.
Prerequisites:
- C compiler
- Go v1.23.2+
- Make
- Pip
- Python3
- Protocol Buffer Compiler (protoc)
To see how to install these dependencies in various environments, check the relevant Dockerfiles in the deploy folder.
The project utilizes Nanopb to generate C structures for given protobuf specs that use contiguous memory. It also generates serializer libraries that can be provided to jbpf, to encode output and decode input data to seamlessly integrate external data processing systems.
# Clone submodules:
./init_submodules.sh
# Install nanopb pip packages:
python3 -m pip install -r 3p/nanopb/requirements.txt
# source environment variables
source ./setup_jbpfp_env.sh
# build cli and dependencies
mkdir build
cd build
cmake .. && make -jAlternatively, build using a container:
# Clone submodules:
./init_submodules.sh
# Create builder image with all dependencies loaded
OS=azurelinux # see ./deploy directory for currently supported OS versions
docker build -t jbpfp-$OS:latest -f deploy/$OS.Dockerfile .
# Build the cli and dependencies
docker run --rm -it \
-v $(pwd):/jbpf-protobuf \
-w /jbpf-protobuf/build \
jbpfp-$OS:latest \
cmake -DINITIALIZE_SUBMODULES=off ..
docker run --rm -it \
-v $(pwd):/jbpf-protobuf \
-w /jbpf-protobuf/build \
jbpfp-$OS:latest make -jOnce the project is built you can run the sample apps. Follow these steps to run a simple example.
- jbpf: Userspace eBPF instrumentation and control framework for deploying control and monitoring functions in a secure manner.
- jrt-controller: a real-time controller for network functions instrumented with the jbpf framework.
The jbpf framework is licensed under the MIT license.