The OpenTelemetry eBPF project develops components that collect and analyze telemetry from the operating system, cloud, and container orchestrators. Its initial focus is on collecting network data to enable users to gain insight into their distributed applications.
The kernel collector gathers low level telemetry straight from the Linux kernel using eBPF. It does so with negligible compute and network overheads. The kubernetes collector and cloud collector gather workload metadata.
This telemetry is then sent to the reducer, which enriches and aggregates it. The reducer outputs metrics to the OpenTelemetry collector.
Before building, make sure that all submodules are checked-out:
git submodule update --init --recursive
There's a docker build image provided with all dependencies pre-installed, ready to build the collectors.
Building the collectors images is as simple as running the build image within docker with the following setup:
docker run \
-it --rm \
--mount "type=bind,source=/var/run/docker.sock,destination=/var/run/docker.sock" \
--mount "type=bind,source=$(git rev-parse --show-toplevel),destination=/root/src,readonly" \
--env EBPF_NET_SRC=/root/src \
--env EBPF_NET_OUT_DIR=/root/out \
--workdir=/root/out \
build-env \
../build.sh docker
The resulting docker image will be placed in the host's docker daemon under the
name kernel-collector
.
The images can also be automatically pushed to a docker registry after they're built.
By default, they're pushed to a local docker registry at localhost:5000
. The registry
can be changed by setting the environment variable EBPF_NET_DOCKER_REGISTRY
in the
build image, as so:
docker run \
-it --rm \
--mount "type=bind,source=/var/run/docker.sock,destination=/var/run/docker.sock" \
--mount "type=bind,source=$(git rev-parse --show-toplevel),destination=/root/src,readonly" \
--env EBPF_NET_SRC=/root/src \
--env EBPF_NET_OUT_DIR=/root/out \
--env EBPF_NET_DOCKER_REGISTRY="localhost:5000" \
--workdir=/root/out \
build-env \
../build.sh docker-registry
The source code for the build image as well as instructions on how to build it can be found in its repo at github.com/Flowmill/flowmill-build-env.
Running the kernel collector should be as easy as running a docker image:
docker run -it --rm \
--env EBPF_NET_INTAKE_PORT="${EBPF_NET_INTAKE_PORT}" \
--env EBPF_NET_INTAKE_HOST="${EBPF_NET_INTAKE_HOST}" \
--privileged \
--pid host \
--network host \
--log-console \
--volume /var/run/docker.sock:/var/run/docker.sock \
--volume /sys/fs/cgroup:/hostfs/sys/fs/cgroup \
--volume /etc:/hostfs/etc \
--volume /var/cache:/hostfs/cache \
--volume /usr/src:/hostfs/usr/src \
--volume /lib/modules:/hostfs/lib/modules \
kernel-collector \
--log-console
Environment variables:
EBPF_NET_INTAKE_HOST
: this is the hostname or IP address of the intake serverEBPF_NET_INTAKE_PORT
: this is the port of the intake server
Volumes:
/var/run/docker.sock
: enables the collector to talk to the local Docker daemon/sys/fs/cgroup
: allows the collector to read cgroup information/etc
: allows the collector to read package manager settings in order to fetch kernel headers in case they're not pre-installed on the host (necessary for eBPF - optional if pre-installed kernel headers are available on the host)/var/cache
: cache fetched kernel headers on the host (optional)/usr/src
//lib/modules
: allows the collector to use kernel headers pre-installed on the host(necessary for eBPF)
Docker settings:
The collector needs privileged access since it uses the eBPF mechanism from the
Linux kernel, therefore these settings need to be passed to docker: --privileged
,
--pid host
and --network host
.
Maintainers (@open-telemetry/ebpf-maintainers):
- Borko Jandras, Splunk
- Jim Wilson, Splunk
- Jonathan Perry, Splunk
Learn more about roles in the community repository.