commit | 9ad39c026c8a3c945a7003c4aa4f5cb1d4c80160 | [log] [tgz] |
---|---|---|
author | Nathan Skrzypczak <nathan.skrzypczak@gmail.com> | Thu Aug 19 11:38:06 2021 +0200 |
committer | Dave Wallace <dwallacelf@gmail.com> | Wed Oct 13 23:22:32 2021 +0000 |
tree | 3cca19635417e28ae381d67ae31c75df2925032d | |
parent | f47122e07e1ecd0151902a3cabe46c60a99bee8e [diff] |
docs: better docs, mv doxygen to sphinx This patch refactors the VPP sphinx docs in order to make it easier to consume for external readers as well as VPP developers. It also makes sphinx the single source of documentation, which simplifies maintenance and operation. Most important updates are: - reformat the existing documentation as rst - split RELEASE.md and move it into separate rst files - remove section 'events' - remove section 'archive' - remove section 'related projects' - remove section 'feature by release' - remove section 'Various links' - make (Configuration reference, CLI docs, developer docs) top level items in the list - move 'Use Cases' as part of 'About VPP' - move 'Troubleshooting' as part of 'Getting Started' - move test framework docs into 'Developer Documentation' - add a 'Contributing' section for gerrit, docs and other contributer related infos - deprecate doxygen and test-docs targets - redirect the "make doxygen" target to "make docs" Type: refactor Change-Id: I552a5645d5b7964d547f99b1336e2ac24e7c209f Signed-off-by: Nathan Skrzypczak <nathan.skrzypczak@gmail.com> Signed-off-by: Andrew Yourtchenko <ayourtch@gmail.com>
The VPP platform is an extensible framework that provides out-of-the-box production quality switch/router functionality. It is the open source version of Cisco's Vector Packet Processing (VPP) technology: a high performance, packet-processing stack that can run on commodity CPUs.
The benefits of this implementation of VPP are its high performance, proven technology, its modularity and flexibility, and rich feature set.
For more information on VPP and its features please visit the FD.io website and What is VPP? pages.
Details of the changes leading up to this version of VPP can be found under doc/releasenotes.
Directory name | Description |
---|---|
build-data | Build metadata |
build-root | Build output directory |
docs | Sphinx Documentation |
dpdk | DPDK patches and build infrastructure |
extras/libmemif | Client library for memif |
src/examples | VPP example code |
src/plugins | VPP bundled plugins directory |
src/svm | Shared virtual memory allocation library |
src/tests | Standalone tests (not part of test harness) |
src/vat | VPP API test program |
src/vlib | VPP application library |
src/vlibapi | VPP API library |
src/vlibmemory | VPP Memory management |
src/vnet | VPP networking |
src/vpp | VPP application |
src/vpp-api | VPP application API bindings |
src/vppinfra | VPP core library |
src/vpp/api | Not-yet-relocated API bindings |
test | Unit tests and Python test harness |
In general anyone interested in building, developing or running VPP should consult the VPP wiki for more complete documentation.
In particular, readers are recommended to take a look at [Pulling, Building, Running, Hacking, Pushing](https://wiki.fd.io/view/VPP/Pulling,_Building,_Run ning,_Hacking_and_Pushing_VPP_Code) which provides extensive step-by-step coverage of the topic.
For the impatient, some salient information is distilled below.
To install system dependencies, build VPP and then install it, simply run the build script. This should be performed a non-privileged user with sudo
access from the project base directory:
./extras/vagrant/build.sh
If you want a more fine-grained approach because you intend to do some development work, the Makefile
in the root directory of the source tree provides several convenience shortcuts as make
targets that may be of interest. To see the available targets run:
make
The directory extras/vagrant
contains a VagrantFile
and supporting scripts to bootstrap a working VPP inside a Vagrant-managed Virtual Machine. This VM can then be used to test concepts with VPP or as a development platform to extend VPP. Some obvious caveats apply when using a VM for VPP since its performance will never match that of bare metal; if your work is timing or performance sensitive, consider using bare metal in addition or instead of the VM.
For this to work you will need a working installation of Vagrant. Instructions for this can be found [on the Setting up Vagrant wiki page] (https://wiki.fd.io/view/DEV/Setting_Up_Vagrant).
Several modules provide documentation, see @subpage user_doc for more end-user-oriented information. Also see @subpage dev_doc for developer notes.
Visit the VPP wiki for details on more advanced building strategies and other development notes.