Methods for sending data

Explore the various methods for sending data to Axiom, from direct API calls and OpenTelemetry to platform integrations and logging libraries.

The easiest way to send your first event data to Axiom is with a direct HTTP request using a tool like cURL.

curl -X 'POST' 'https://AXIOM_DOMAIN/v1/datasets/DATASET_NAME/ingest' \
    -H 'Authorization: Bearer API_TOKEN' \
    -H 'Content-Type: application/x-ndjson' \
    -d '{ "http": { "request": { "method": "GET", "duration_ms": 231 }, "response": { "body": { "size": 3012 } } }, "url": { "path": "/download" } }'

Replace AXIOM_DOMAIN with api.axiom.co if your organization uses the US region. For more information, see Regions.

Replace API_TOKEN with the Axiom API token you have generated. For added security, store the API token in an environment variable.

Replace DATASET_NAME with the name of the Axiom dataset where you send your data.

To send events continuously, Axiom supports a wide range of standard tools, libraries, and platform integrations.

Popular methods

Method	Description
Rest API	Direct HTTP API for sending logs and events
OpenTelemetry	Industry-standard observability framework
Vector	High-performance observability data pipeline
Cribl	Route and transform data with Cribl Stream
Fluent Bit	Fast and lightweight log processor
Fluentd	Open source data collector with plugin ecosystem
JavaScript	Browser and Node.js logging

Other methods

Method	Description
.NET	Send logs from .NET applications
Apache Log4j	Java logging with Log4j integration
Apex	Structured logging for Go
Cloudflare Workers	Edge computing with Workers and OpenTelemetry
Convex	Stream data from Convex applications
Elastic Beats	Lightweight data shippers from Elastic
Elasticsearch Bulk API	Compatible endpoint for Elasticsearch clients
Go	Native Go logging integration
Heroku Log Drains	Stream logs directly from Heroku apps
Honeycomb	Compatible endpoint for Honeycomb clients
Kubernetes	Collect logs and metrics from K8s clusters
Laravel	PHP Laravel framework integration
Logrus	Structured logging for Go with Logrus
Logstash	Server-side data processing pipeline
Loki	Compatible endpoint for Grafana Loki clients
Loki Multiplexer	Forward Loki data to multiple destinations
Next.js	Full-stack React framework logging
Pino	Fast Node.js logger integration
Python	Python logging with standard library
React	Client-side React app logging
Render	Stream logs from Render.com services
Ruby on Rails	Rails app logging
Rust	High-performance Rust logging
Secure Syslog	TLS-encrypted syslog forwarding
Serverless	Best practices for serverless environments
Splunk	Compatible endpoint for Splunk forwarders
Syslog Proxy	Forward syslog data with transformation
Tremor	Event processing system for complex workflows
Winston	Popular Node.js logging library
Zap	Uber’s fast, structured Go logger

Amazon Web Services (AWS)

Axiom offers deep integration with the AWS ecosystem.

Method	Description
Amazon CloudFront	CDN access logs and real-time logs
Amazon CloudWatch	Stream logs from CloudWatch Logs
Amazon Kinesis Data Firehose	Real-time streaming with Firehose
Amazon S3	Process logs stored in S3 buckets
AWS FireLens	Container log routing for ECS/Fargate
AWS IoT Rules	Route IoT device data and telemetry
AWS Lambda	Serverless function logs and traces
AWS Lambda .NET	.NET-specific Lambda integration

Example configurations

The following examples show how to send data using OpenTelemetry from various languages and frameworks.

Application	Description
OpenTelemetry .NET	Complete .NET app example
OpenTelemetry Django	Python Django with OpenTelemetry
OpenTelemetry Go	Go app with full observability
OpenTelemetry Java	Java Spring Boot example
OpenTelemetry Next.js	Full-stack Next.js with tracing
OpenTelemetry Node.js	Node.js Express example
OpenTelemetry Python	Python Flask/FastAPI example
OpenTelemetry Ruby	Ruby on Rails with OpenTelemetry

If you need an ingestion method that isn’t in the list above, contact Axiom.

Limits on ingested data

For more information on limits and requirements imposed by Axiom, see Limits.