• Stars
    star
    115
  • Rank 294,932 (Top 6 %)
  • Language
    C
  • License
    BSD 2-Clause "Sim...
  • Created over 2 years ago
  • Updated about 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Source-code based coverage for eBPF programs actually running in the Linux kernel

bpfcov

Source-code based coverage for eBPF programs actually running in the Linux kernel

This project provides 2 main components:

  1. libBPFCov.so - an out-of-tree LLVM pass to instrument your eBPF programs for coverage.
  2. bpfcov - a CLI to collect source-based coverage from your eBPF programs.
Source-based code coverage for BPF raw tracepoints Source-based code coverage for BPF LSM programs HTML coverage index for multiple eBPF programs
HTML coverage report for eBPF programs HTML coverage report for eBPF programs JSON report for multiple eBPF programs
LCOV info file from multiple eBPF programs HTML line coverage report for eBPF programs HTML line coverage report for eBPF programs

Overview

This section aims to provide a high-level overiew of the steps you need to get started with bpfcov.

  1. Compile the LLVM pass obtaining libBPFCov.so
  2. Instrument your eBPF program by compiling it and by running the LLVM pass (libBPFCov.so) on it
  3. Build the userspace code of your eBPF application
  4. Execute your eBPF application in the kernel through the bpfcov run ... command
  5. Generate the .profraw file from the run through the bpfcov gen ... command
    1. Having a .profraw makes this tool fully interoperable
    2. Having a .profraw allows you to generate a variety of coverage reports in different formats
  6. Use the LLVM toolchain to create coverage reports as documented in the LLVM docs

In case you are impatient and want to jump straight into getting your hands dirty, then the examples directory contains a few dummy eBPF programs to showcase what bpfcov does.

It basically automates steps 2 and 3. Its README contains more details.

While the README of the cli directory gives you more details about the steps 4 and 5 (and also 6).

Usage

Here I will highlight the manual steps to use it.

I suggest you to automate most of them like I did in the examples Makefile.

Anyway, assuming you have built the LLVM pass, you can then use your fresh libBPFCov.so to instrument your eBPF programs for coverage (steps 2 and 3 above).

How to do it?

First, you need to compile your eBPF program almost as usual but to LLVM IR...

clang -g -O2 \
    -target bpf -D__TARGET_ARCH_x86 -I$(YOUR_INCLUDES) \
    -fprofile-instr-generate -fcoverage-mapping \
    -emit-llvm -S \
    -c program.bpf.c \
    -o program.bpf.ll

Notice it doesn't matter if you use the textual (*.ll) or the binary form (*.bc). Obviously, the former is more readable.

The same logic applies to opt: by default it generates *.bc. Using the -S flag you can obtain the output in textual form (*.ll).

Anyhow, it's time to run the LLVM pass on the LLVM IR we obtained.

Let's do it:

opt -load-pass-plugin $(BUILD_DIR)/lib/libBPFCov.so -passes="bpf-cov" \
    -S program.bpf.ll \
    -o program.bpf.cov.ll

We should have obtained a new LLVM IR that's now valid and loadable from the BPF VM in the Linux kernel. Almost there, YaY!

From it, we can obtain a valid BPF ELF now:

llc -march=bpf -filetype=obj -o cov/program.bpf.o program.bpf.cov.ll

While we are at it, it is also worth running the LLVM pass again (with a flag) to obtain another BPF ELF containing all the profiling and coverage mapping info. It will come in handy later with llvm-cov.

opt -load $(BUILD_DIR)/lib/libBPFCov.so -strip-initializers-only -bpf-cov \
    program.bpf.ll | \
    llc -march=bpf -filetype=obj -o cov/program.bpf.obj

At this point, we can compile our userspace application loading the eBPF instrumented program (cov/program.bpf.o).

Doing this when using libbpf and skeletons is very easy. Nothing different from the common steps: bpftool, cc, etc.

In the examples directory, you can find further explainations.

So assuming we got our instrumented binary ready (cov/program), we can run it via the bpfcov CLI.

sudo ./bpfcov run cov/program
# Wait for it to exit, or stop it with CTRL+C
sudo ./bpfcov gen --unpin cov/program

Again, in case you wanna know more about these 2 steps, refer this time to the CLI README.

Now we have a magic cov/program.profraw file...

And we can use the LLVM toolchain to generate very fine-grained coverage reports like those in the screenshots!

Refer to the LLVM docs to learn how to do it.

But no worries, it's just about invoking llvm-profdata and llvm-cov:

lvm-profdata merge -sparse cov/program.profraw -o cov/program.profdata
llvm-cov show \
    --format=html \
    --show-line-counts-or-regions --show-region-summary --show-branch-summary \
    --instr-profile=cov/profdata.profdata \
    -object cov/program.bpf.obj \
    --output-dir=cov/html_report

Anyayws, bpfcov also provides you an opinionated shortcut command to generate HTML, JSON, and LCOV coverage reports:

./bpfcov out --format=html cov/program.profraw

Development Environment

In order to build the BPFCov library (libBPFCov.so) you will need:

  • LLVM 12+
  • CMake 3.13.4+
  • C++ compiler that supports C++14

In order to use it, you will need:

  • clang 12 (to generate the input LLVM files)
  • its opt binary to run the LLVM pass

This project has been tested on 5.15 Linux kernels.

Building

Build as follows:

mkdir -p build && cd build
cmake -DLT_LLVM_INSTALL_DIR=/path/to/llvm/installation ..
make

Notice that the LT_LLVM_INSTALL_DIR variable should be set to the root of either the installation (usually /usr) or the build directory of LLVM.

It is used to locate the corresponding LLVMConfig.cmake script that is used to set the include and the library paths.

Testing

TBD

To run the tests you will need to install llvm-lit.

Usually, you can install it with pip:

pip install lit

Running the tests is as simple as:

lit build/test

More Repositories

1

elasticsearch

Free and Open, Distributed, RESTful Search Engine
Java
65,029
star
2

kibana

Your window into the Elastic Stack
TypeScript
19,124
star
3

logstash

Logstash - transport and process your logs, events, or other data
Java
13,615
star
4

beats

🐠 Beats - Lightweight shippers for Elasticsearch & Logstash
Go
11,967
star
5

elasticsearch-php

Official PHP client for Elasticsearch.
PHP
5,190
star
6

elasticsearch-js

Official Elasticsearch client library for Node.js
TypeScript
5,174
star
7

go-elasticsearch

The official Go client for Elasticsearch
Go
4,933
star
8

elasticsearch-py

Official Python client for Elasticsearch
Python
4,034
star
9

elasticsearch-dsl-py

High level Python client for Elasticsearch
Python
3,695
star
10

elasticsearch-definitive-guide

The Definitive Guide to Elasticsearch
HTML
3,521
star
11

elasticsearch-net

This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.
C#
3,469
star
12

curator

Curator: Tending your Elasticsearch indices
Python
3,020
star
13

elasticsearch-rails

Elasticsearch integrations for ActiveModel/Record and Ruby on Rails
Ruby
3,017
star
14

examples

Home for Elasticsearch examples available to everyone. It's a great way to get started.
Jupyter Notebook
2,587
star
15

cloud-on-k8s

Elastic Cloud on Kubernetes
Go
2,461
star
16

elasticsearch-ruby

Ruby integrations for Elasticsearch
Ruby
1,928
star
17

elasticsearch-hadoop

🐘 Elasticsearch real-time search and analytics natively integrated with Hadoop
Java
1,915
star
18

helm-charts

You know, for Kubernetes
Python
1,807
star
19

search-ui

Search UI. Libraries for the fast development of modern, engaging search experiences.
TypeScript
1,796
star
20

logstash-forwarder

An experiment to cut logs in preparation for processing elsewhere. Replaced by Filebeat: https://github.com/elastic/beats/tree/master/filebeat
Go
1,788
star
21

detection-rules

Python
1,751
star
22

ansible-elasticsearch

Ansible playbook for Elasticsearch
Ruby
1,567
star
23

otel-profiling-agent

The production-scale datacenter profiler
Go
1,231
star
24

stack-docker

Project no longer maintained.
Shell
1,189
star
25

apm-server

APM Server
Go
1,100
star
26

ecs

Elastic Common Schema
Python
920
star
27

protections-artifacts

Elastic Security detection content for Endpoint
YARA
848
star
28

ember

Elastic Malware Benchmark for Empowering Researchers
Jupyter Notebook
799
star
29

elasticsearch-docker

Official Elasticsearch Docker image
Python
790
star
30

elasticsearch-rs

Official Elasticsearch Rust Client
Rust
612
star
31

elasticsearch-cloud-aws

AWS Cloud Plugin for Elasticsearch
580
star
32

apm-agent-dotnet

Elastic APM .NET Agent
C#
540
star
33

apm-agent-nodejs

Elastic APM Node.js Agent
JavaScript
540
star
34

apm-agent-java

Elastic APM Java Agent
Java
536
star
35

eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Python
516
star
36

elasticsearch-mapper-attachments

Mapper Attachments Type plugin for Elasticsearch
Java
503
star
37

elasticsearch-servicewrapper

A service wrapper on top of elasticsearch
Shell
489
star
38

apm-agent-go

Official Go agent for Elastic APM
Go
390
star
39

sense

A JSON aware developer's interface to Elasticsearch. Comes with handy machinery such as syntax highlighting, autocomplete, formatting and code folding.
JavaScript
382
star
40

apm-agent-python

Official Python agent for Elastic APM
Python
381
star
41

elastic-charts

📊 Elastic Charts library
TypeScript
362
star
42

stream2es

Stream data into ES (Wikipedia, Twitter, stdin, or other ESes)
Clojure
356
star
43

timelion

Timelion was absorbed into Kibana 5. Don't use this. Time series composer for Elasticsearch and beyond.
JavaScript
347
star
44

elasticsearch-labs

Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Jupyter Notebook
341
star
45

apm

Elastic Application Performance Monitoring - resources and general issue tracking for Elastic APM.
Gherkin
317
star
46

elasticsearch-net-example

A tutorial repository for Elasticsearch and NEST
305
star
47

elasticsearch-migration

This plugin will help you to check whether you can upgrade directly to the next major version of Elasticsearch, or whether you need to make changes to your data and cluster before doing so.
291
star
48

logstash-docker

Official Logstash Docker image
Python
286
star
49

elasticsearch-py-async

Backend for elasticsearch-py based on python's asyncio module.
Python
283
star
50

support-diagnostics

Support diagnostics utility for elasticsearch and logstash
Java
278
star
51

elasticsearch-java

Official Elasticsearch Java Client
Java
274
star
52

es2unix

Command-line ES
Clojure
274
star
53

elasticsearch-analysis-smartcn

Smart Chinese Analysis Plugin for Elasticsearch
268
star
54

dockerfiles

Dockerfiles for the official Elastic Stack images
Shell
253
star
55

go-sysinfo

go-sysinfo is a library for collecting system information.
Go
249
star
56

kibana-docker

Official Kibana Docker image
Python
243
star
57

elasticsearch-metrics-reporter-java

Metrics reporter, which reports to elasticsearch
Java
232
star
58

apm-agent-php

Elastic APM PHP Agent
PHP
229
star
59

docs

Ruby
229
star
60

elasticsearch-river-twitter

Twitter River Plugin for elasticsearch (STOPPED)
Java
202
star
61

elasticsearch-formal-models

Formal models of core Elasticsearch algorithms
Isabelle
200
star
62

rally-tracks

Track specifications for the Elasticsearch benchmarking tool Rally
Python
197
star
63

beats-dashboards

DEPRECATED. Moved to https://github.com/elastic/beats. Please use the new repository to add new issues.
Shell
192
star
64

elasticsearch-analysis-icu

ICU Analysis plugin for Elasticsearch
189
star
65

elasticsearch-river-rabbitmq

RabbitMQ River Plugin for elasticsearch (STOPPED)
Java
173
star
66

elasticsearch-analysis-kuromoji

Japanese (kuromoji) Analysis Plugin
168
star
67

terraform-provider-ec

Terraform provider for the Elasticsearch Service and Elastic Cloud Enterprise
Go
165
star
68

beats-docker

Official Beats Docker images
Python
165
star
69

elasticsearch-river-couchdb

CouchDB River Plugin for elasticsearch (STOPPED)
Java
163
star
70

apm-agent-ruby

Elastic APM agent for Ruby
Ruby
156
star
71

integrations

Elastic Integrations
Handlebars
155
star
72

require-in-the-middle

Module to hook into the Node.js require function
JavaScript
149
star
73

harp

Secret management by contract toolchain
Go
143
star
74

dorothy

Dorothy is a tool to test security monitoring and detection for Okta environments
Python
141
star
75

ml-cpp

Machine learning C++ code
C++
139
star
76

ecs-logging-java

Centralized logging for Java applications with the Elastic stack made easy
Java
137
star
77

SWAT

Simple Workspace Attack Tool (SWAT) is a tool for simulating malicious behavior against Google Workspace in reference to the MITRE ATT&CK framework.
Python
135
star
78

go-libaudit

go-libaudit is a library for communicating with the Linux Audit Framework.
Go
133
star
79

ansible-beats

Ansible Beats Role
Ruby
131
star
80

logstash-contrib

THIS REPOSITORY IS NO LONGER USED.
Ruby
128
star
81

elasticsearch-analysis-phonetic

Phonetic Analysis Plugin for Elasticsearch
127
star
82

azure-marketplace

Elasticsearch Azure Marketplace offering + ARM template
Shell
122
star
83

anonymize-it

a general utility for anonymizing data
Python
114
star
84

windows-installers

Windows installers for the Elastic stack
C#
113
star
85

terraform-provider-elasticstack

Terraform provider for Elastic Stack
Go
111
star
86

makelogs

JavaScript
108
star
87

golang-crossbuild

Shell
107
star
88

elasticsearch-lang-python

Python language Plugin for elasticsearch
104
star
89

elastic-agent

Elastic Agent - single, unified way to add monitoring for logs, metrics, and other types of data to a host.
Go
102
star
90

go-freelru

GC-less, fast and generic LRU hashmap library for Go
Go
101
star
91

elasticsearch-lang-javascript

JavaScript language Plugin for elasticsearch
93
star
92

stack-docs

Elastic Stack Documentation
Java
92
star
93

elasticsearch-specification

Elasticsearch full specification
TypeScript
89
star
94

elasticsearch-perl

Official Perl low-level client for Elasticsearch.
Perl
87
star
95

next-eui-starter

Start building Kibana protoypes quickly with the Next.js EUI Starter
TypeScript
87
star
96

vue-search-ui-demo

A demo of implementing Elastic's Search UI and App Search using Vue.js
Vue
87
star
97

elasticsearch-transport-thrift

Thrift Transport for elasticsearch (STOPPED)
Java
84
star
98

ecs-dotnet

.NET integrations that use the Elastic Common Schema (ECS)
HTML
82
star
99

generator-kibana-plugin

DEPRECATED Yeoman Generator for Kibana Plugins, please use https://github.com/elastic/template-kibana-plugin/
JavaScript
79
star
100

hipio

A DNS server that parses a domain for an IPv4 Address
Haskell
76
star