Apache Flume
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log and event data. It provides a simple and flexible architecture based on streaming data flows with pluggable sources, channels, and sinks, plus a REST monitoring API for agent metrics.
Apache Flume publishes 1 API on the APIs.io network: Monitoring API. Tagged areas include Apache, Data Collection, ETL, Log Aggregation, and Open Source.
The Apache Flume catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Apache Flume’s developer surface includes documentation, getting-started guide, and 7 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Flume Java API
Java API for building custom Flume sources, channels, sinks, and interceptors. Provides interfaces for developing pluggable data ingestion components.
Apache Flume Monitoring API
The Monitoring API from Apache Flume — 1 operation(s) for monitoring.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apache Flume Monitoring API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Flume Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Flume Finops
FINOPSFeatures 9
Notable capabilities this provider offers.
Pluggable Sources
Extensible source architecture supporting Avro, Thrift, Exec, Taildir, Kafka, HTTP, Syslog, and custom sources.
Durable Channels
Multiple channel implementations including memory, file-backed, and Kafka-backed channels for different durability requirements.
Multi-Destination Sinks
Write events to HDFS, HBase, Solr, Elasticsearch, Kafka, and custom sink destinations.
Fan-In Consolidation
Aggregate events from multiple agent sources into a single destination for centralized log collection.
Fan-Out Distribution
Route events from a single source to multiple channel/sink combinations for parallel processing.
Interceptors
Event transformation interceptors for filtering, enrichment, and routing based on event content.
SSL/TLS Security
TLS encryption support across Avro, Thrift, Kafka, HTTP, and Syslog components.
Monitoring REST API
HTTP monitoring endpoint exposing source, channel, and sink metrics for agent health monitoring.
Multi-Hop Flows
Chain multiple Flume agents via Avro/Thrift RPC for tiered log aggregation architectures.
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Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Apache Flume API Rules
SPECTRALApache Flume API Rules
SPECTRALJSON Schema 2
Standalone JSON Schema definitions for this provider's data models.
AgentMetrics
JSON SCHEMAComponentMetrics
JSON SCHEMAJSON Structure 2
JSON Structure definitions describing this provider's data shapes.
Flume Monitoring Agent Metrics Structure
JSON STRUCTUREFlume Monitoring Component Metrics Structure
JSON STRUCTUREExamples 2
Example request and response payloads for these APIs.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Centralized Log Aggregation
Collect application logs from hundreds of servers and aggregate them into HDFS, Kafka, or Elasticsearch.
Real-Time Log Tailing
Tail application log files in real time using Taildir source for immediate event processing.
Syslog Ingestion
Ingest RFC-3164 and RFC-5424 syslog events from network devices into centralized storage.
Kafka Event Ingestion
Bridge Kafka topics to HDFS or other storage for batch analytics on streaming event data.
Multi-Tier Architectures
Build tiered data collection with edge collectors forwarding to aggregation agents and final destinations.
Integrations 5
Pre-built integrations with other platforms and tools.
Apache Kafka
Kafka source and channel for consuming events, and Kafka sink for writing events to topics.
Apache HDFS
Primary sink for writing log data to Hadoop Distributed File System for batch analytics.
Apache HBase
HBase sink for writing events directly to HBase tables for random-access analytics.
Apache Solr
Solr sink for indexing log events for full-text search capabilities.
Elasticsearch
Elasticsearch sink for indexing and searching aggregated log data.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture