Axiom Controller
Axiom is a cloud-native observability platform providing APIs for ingesting, querying, and managing telemetry data including logs, traces, and metrics with support for datasets, monitors, and organization management.
APIs
Axiom Ingest API
API for ingesting logs, events, and telemetry data into Axiom datasets.
Axiom Query API
API for querying and analyzing data stored in Axiom datasets using APL (Axiom Processing Language).
Features
Ingest logs from any source at massive scale with compression.
Query telemetry data using Axiom Processing Language (APL), inspired by KQL.
Organize telemetry data in datasets for granular access control and retention.
Set up threshold-based and anomaly-detection monitors with PagerDuty/Slack integrations.
Native support for OpenTelemetry traces, metrics, and logs via OTLP.
Store telemetry data for extended periods at low cost with queryable archives.
Build custom dashboards with rich visualization for monitoring application health.
Use Cases
Centralize application logs for debugging and troubleshooting.
Monitor infrastructure metrics and detect anomalies.
Analyze security logs and audit trails for threat detection.
Trace requests across microservices with OpenTelemetry.
Analyze user behavior and business events stored as structured logs.
Integrations
Ingest OTLP data from any OpenTelemetry-compatible source.
Built-in Vercel log drain integration for edge function and deployment logs.
Forward CloudWatch logs to Axiom via Lambda log forwarder.
Deploy Axiom Helm charts to collect Kubernetes logs and metrics.
Send CI/CD pipeline logs to Axiom from GitHub Actions workflows.