LoongCollector is a high-performance, lightweight observability data collector designed for modern cloud-native environments. Born from Alibaba's 15-year journey handling exponential traffic growth and powering tens of millions of deployments, LoongCollector delivers 10x higher throughput with 80% lower resource usage compared to open-source alternatives.

LoongCollector is a key component of LoongSuite(Alibaba's unified observability data collection suite). LoongSuite includes the following key components:

• LoongCollector: universal node agent, which prodivdes log collection, prometheus metric collection, and network and security collection capabilities based on eBPF.
• LoongSuite Python Agent: a process agent providing instrumentaion for python applications.
• LoongSuite Go Agent: a process agent for golang with compile time instrumentation.
• LoongSuite Java Agent: a process agent for Java applications.
• Other upcoming language agent.

The LoongSuite open-source community hosts monthly online sharing meetings. The meeting access link for each meeting will be posted to GitHub Discussions and shared in the DingTalk and WeChat groups within one week prior to the event. Recordings of past meetings are available on Bilibili.

• ⚡ High Performance

  • 10x higher throughput with 80% less resource usage compared to competitors
  • Linear scaling with predictable performance growth

• 🛡️ Production-Ready

  • Battle-tested in Alibaba's production environment for 15+ years
  • Powers tens of millions of deployments, collecting hundreds of petabytes daily

• 🔧 All-in-One Collection

  • Unified agent for logs, metrics, traces, events, and profiles
  • Native Kubernetes support
  • eBPF-powered network monitoring and security event collection

• 🎯 Pluggable Architecture

  • 100+ built-in plugins with multi-language development (C++, Go)
  • Powerful SPL engine for flexible data processing

• ⚙️ Advanced Management

  • Remote configuration management via SLS console, SDK, K8s Operator
  • Self-monitoring, flow control, resource control, alarms, and statistics collection.

Maximum Throughput Comparison

📈 Breaking Point Analysis: While competitors hit CPU saturation at ~40 MB/s, LoongCollector maintains linear scaling up to 546 MB/s on a single processing thread.

Resource Efficiency at 10 MB/s Processing Load

1. Memory Arena: Zero-Copy Design

• Shared memory pool (SourceBuffer) stores all string data once per event group
• String_view references point to original data segments instead of copying

2. Lock-Free Event Pool

• Thread-aware allocation strategies eliminate lock contention
• Same-thread pools for direct reuse, double-buffer pools for cross-thread scenarios

3. Zero-Copy Serialization: Direct Network Output

• Bypasses intermediate Protobuf objects, serializes directly to network format

4. Multi-Tenant Pipeline Isolation

• High-low watermark feedback queues prevent pipeline interference
• Independent resource allocation per pipeline with automatic back-pressure control
• Ensures one pipeline failure doesn't affect others

5. Fair Resource Allocation

• Priority-aware round-robin scheduling ensures fairness while respecting business priorities
• Higher priority pipelines always processed first, fair distribution within same priority level
• Automatic resource yielding when constraints occur

6. Self-Healing Network Resilience

• Adaptive concurrency limiting per destination using AIMD (Additive Increase, Multiplicative Decrease)
• Fast failure detection and gradual recovery to prevent network jitter
• Zero data loss guarantee with intelligent back-pressure control

LoongCollector has been battle-tested in some of the world's most demanding production environments:

• Alibaba Group: Powers the entire Alibaba ecosystem including Double 11 shopping festival
• Alibaba Cloud: Serves tens of thousands of enterprise customers
• Ant Group: Handles financial transaction observability at massive scale
• Daily Data Volume: Hundreds of petabytes of observability data
• Deployment Scale: Tens of millions of active deployments

• Docker (for building from source)
• Go 1.23+ (for building from source)

# Clone the repository
git clone https://github.com/alibaba/loongcollector.git
cd loongcollector
git submodule update --init

# Build LoongCollector
make all
cd output

# Start LoongCollector
nohup ./loongcollector > stdout.log 2> stderr.log &

LoongCollector is now running.

# Build the Docker image alibaba/loongcollector:0.0.1
make dist
make docker

# Run with default configuration
docker run -d --name loongcollector \
  -v /:/logtail_host:ro \
  -v /var/run:/var/run \
  alibaba/loongcollector:0.0.1

• User Manual - Comprehensive documentation
• Installation Guide - Step-by-step setup
• Configuration Reference - Detailed configuration options
• Plugin Directory - Complete plugin documentation
• Developer Guide - Contributing and development

We welcome contributions from the community! Here are some ways you can help:

• Report Bugs - Help us identify and fix issues
• Improve Documentation - Enhance our docs
• Review Code - Review feature proposals and PRs
• Contribute Plugins - Develop new input, processor, or flusher plugins

• GitHub Issues: Report bugs and feature requests
• GitHub Discussions: Join community discussions

• Bilibili: 阿里云SLS
• Zhihu: LoongCollector社区
• WeChat/DingTalk: LoongCollector社区

We are looking forward to your feedback and suggestions. You can scan the QR code below to engage with us.

LoongSuite Python SIG	LoongSuite Go SIG	LoongSuite Java SIG

LoongCollector is licensed under the Apache 2.0 License.