facebookarchive/scribeArchived
Scribe
Scribe is a distributed log aggregation system designed to collect and route real-time log data from numerous servers to centralized storage or analysis tools. It functions as a log data pipeline and scalable collector that gathers streaming data and writes it to local disks or remote endpoints.
The system employs a log routing server model that organizes incoming streams into specific buckets based on predefined configuration mappings. It supports multi-hop log forwarding, allowing data to be routed through a chain of intermediate servers to centralize logs from diverse network segments.
Reliability and observability are managed through local-disk buffering, which stores outgoing messages during network failures to prevent data loss, and counter-based health monitoring to track internal message counts and delivery success. The architecture further includes asynchronous message streaming and centralized log routing to manage high-throughput data flows across a network.
Features
- Log Aggregators - Centralizes log streams from numerous distributed sources into a unified, reliable collection point.
- Distributed Aggregators - Consolidates real-time log data from multiple distributed clients into a unified pipeline for centralized analysis.
- Reliable Log Delivery Pipelines - Provides a data flow architecture that buffers and forwards log messages to ensure reliable delivery.
- Remote Log Collection Protocols - Transports log data from remote clients to centralized collectors using high-throughput network protocols.
- Multi-Hop Log Forwarding - Routes data through a chain of intermediate servers to scale collection and centralize logs from diverse network segments.
- Asynchronous Log Streaming - Implements asynchronous message publishing and consumption using append-only logs to minimize overhead and latency.
- Telemetry and Log Collectors - Functions as a high-throughput service that captures, aggregates, and structures log data from distributed applications.
- Distributed Log Aggregation - Collects and unifies logs from multiple distributed services across a network for centralized monitoring.
- Log Routing - Forwards captured log events to external destinations based on predefined configuration mappings.
- Log Forwarders - Provides lightweight forwarding agents that transmit log data from various sources to centralized management systems.
- Persistent Log Buffers - Implements disk-backed storage mechanisms to queue logs and prevent data loss during service interruptions.
- Configuration-Based Log Organization - Sorts incoming log streams into specific sub-directories based on a predefined organization configuration.
- Disk-Buffered Retries - Provides persistent disk buffering to store outgoing messages during network failures and retries delivery to prevent data loss.
- Log Stream Bucketing - Organizes incoming data streams into specific local directories based on predefined mapping of stream names to paths.
- Local Log Collection - Receives streamed log messages from clients and writes them directly to local disk storage.
- Data Ingestion - Aggregator for streaming log data.
- Data Ingestion Pipelines - Aggregator for streaming log data.
Star history
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