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DocumentationQuery ReferenceAPI Reference

Platform overview

What is Axiom?QuickstartArchitectureFeatures
Fundamentals
Datasets
Edge deployments
Limits
Performance
Optimize usage
Requirements
Semantic conventions
Glossary
Tour
SecurityRoadmap

Send data

Reference architecturesMethods

Understand data

Console
Query
Builder
Editor
Query results
Visualize
Traces
Metrics
Correlations
Save queries
Stream
Dashboard
Create
Elements
Create
Configure
Element types
Gauge
Heatmap
Log stream
Monitor list
Note
Pie chart
Scatter plot
Statistic
Table
Time series
Sections
Configure
Filter
Annotate
Monitor
Overview
View status
Configure
Examples
Monitor types
Anomaly
Match
Threshold
Alerting
Overview
Configure
Notifier types
Custom Webhook
Discord
Email
Microsoft Teams
Opsgenie
PagerDuty
Slack
Manage
Datasets
Overview
Views
Virtual fields
Access
RBAC
Tokens
CLI
Organization
Audit log
Settings
Usage and billing
Profile
Extend
Overview
AWS Lambda
AWS PrivateLink
Cloudflare Workers
Cloudflare Logpush
Convex
Grafana
Hex
Netlify
Supabase
Tailscale
Terraform
Unkey
Vercel
Intelligence
Overview
Spotlight
AI agents
Overview
MCP Server
Query cost limits
Agent-created orgs
Skills
Overview
Axiom alerting
Build dashboards
Control costs
Query metrics
SRE
Translate SPL to APL
Splunk
Overview
Splunk app
Install and configure
Commands
Examples
Portal
How it works
Set up standard mode
Set up transparent mode
Observability Cloud
SPL command support
Examples
Monitor and troubleshoot

Use cases

ObservabilityProduct analytics
LLM observability
Overview
Use Axiom AI SDK
Manual instrumentation
GenAI attributes
Redaction policies

Miscellaneous

LLMs
Overview
List of docs pages
Full docs
Query reference
FAQs
Legal
Acceptable use policy
Cookies
Data processing
HIPAA
Partner agreement
Partner program guide
Privacy policy
SLA
Terms of service
Terms of use
Platform overview

Features

Comprehensive overview of Axiom’s components, features, and capabilities across the platform.

ComponentSub-ComponentFeatureDescription
Data PlatformDeploymentAxiom CloudAxiom hosts and manages all infrastructure in its own cloud.
EventDB--Foundation of Axiom’s platform for ingesting, storing, and querying timestamped event data at scale.
EventDBIngest-Ingest pipeline that’s coordination-free, durable by default, and scales linearly without requiring Kafka or other heavy middleware.
EventDBStorage-Custom block-based format on object storage, with extreme compression (average 25×, up to 50× for more structured events) and efficient metadata.
EventDBQuery-Serverless ephemeral runtimes that spin up on demand to process queries, powered by the Axiom Processing Language (APL).
EventDBQueryAxiom Processing Language (APL)Powerful query language for logs and traces, supporting filtering, aggregations, transformations, and specialized operators.
EventDBQueryVirtual fieldsAbility to derive new values from data in real-time during queries without pre-structuring or transforming data during ingestion.
MetricsDB--Dedicated metrics datastore purpose-built for high-cardinality time-series data without the cost penalties of traditional metrics systems.
MetricsDBIngestOpenTelemetry MetricsNative support for OpenTelemetry (gRPC over HTTP) metrics protocol.
MetricsDBStorageHigh-cardinality nativeStore metrics with high-cardinality tags without performance degradation.
MetricsDBQueryMetrics Processing Language (MPL)Query metrics using Metrics Processing Language (MPL) with support for time-series aggregations, dimensional filtering, and cross-metric correlations.
Console--Web UI for data management, querying, dashboarding, monitoring, and user administration.
ConsoleQueryBuilderGuided interface to quickly filter and group data.
ConsoleQueryEditorA full text-based query language environment for complex aggregations, transformations, and correlations.
ConsoleQueryNatural-language queryingGenerate valid APL queries from plain English descriptions using AI.
ConsoleQueryVisualizationsCharts, graphs, and other visual components to make sense of query results.
ConsoleQueryTrace waterfallDedicated interface for analyzing distributed traces.
ConsoleQuerySaved queriesSave and share queries with team members for easy reuse.
ConsoleQueryViewsApply filters and transformations to datasets to create reusable virtual tables with scoped access control.
ConsoleStreamLive tailingReal-time streaming view of incoming logs and events.
ConsoleDashboards-Combine multiple visual elements (charts, tables, logs, etc.) onto a single page.
ConsoleDashboardsAI-powered dashboard generationDescribe requirements in natural language and generate complete dashboards instantly.
ConsoleDashboardsElementsVarious chart types, log streams, notes, and more to tailor each dashboard.
ConsoleDashboardsAnnotationsMark points in time or highlight events directly in your dashboards.
ConsoleMonitorsThreshold monitorsChecks if aggregated values exceed or fall below a predefined threshold (for example, error counts > 100).
ConsoleMonitorsMatch monitorsTriggers on specific log patterns or conditions for each event.
ConsoleMonitorsAnomaly monitorsLearns from historical data to detect unexpected deviations or spikes.
ConsoleAlertingNotifiers (Webhooks, Email, Slack, and more)Sends notifications through various channels including email, chat platforms, incident management systems, and custom webhook integrations.
ConsoleGovernanceDataset managementData retention controls, trim functionality, field vacuuming, and dataset sharing capabilities.
ConsoleGovernanceRole-Based Access Control (RBAC)Fine-grained permissions at the organization and dataset levels.
ConsoleGovernanceAudit logsTrack every change and action taken by users within Axiom.
Intelligence--AI-powered features that accelerate insights and automate data analysis.
IntelligenceAnalysisSpotlightAutomatically identify differences between selected events and baseline data for root cause analysis and anomaly investigation. Quickly understand key differences with AI-generated summaries.
IntelligenceAgent integrationMCP ServerModel Context Protocol server enabling AI agents to query data, list datasets, and access monitors using APL.
IntelligenceLLM observabilityGenAI dashboard and tracesAuto-provisioned GenAI dashboard and waterfall trace view for any dataset containing AI telemetry. Instrument using OpenTelemetry or the Axiom AI SDK.
Integrations--A wide range of official and community tools to collect logs, metrics, and traces and send them into Axiom.
IntegrationsPopular connectorsOpenTelemetry, Vector, Cribl, and moreCommon shippers and pipeline tools for bridging data sources to Axiom.
IntegrationsAWSCloudWatch Forwarder, Lambda Extension, Kinesis, S3Official AWS-based ingestion solutions.
IntegrationsLanguage librariesGo, Python, Node.js, Java, Ruby, Rust, .NETSDKs to send logs and metrics directly from applications.
APIs and CLI--Programmatic and command-line interfaces for ingesting, querying, and managing Axiom resources.
APIs and CLIREST APIEndpointsProgrammatic interfaces for ingesting data, running queries, retrieving results, and managing annotations and tokens.
APIs and CLIREST APIAPI tokens and Personal Access TokensAuthentication mechanisms for API access with basic and advanced tokens, plus personal tokens.
APIs and CLICLIAuth and dataset managementCreate datasets, set tokens, or update config from a shell.
APIs and CLICLIQuery from terminalExecute queries in APL or simpler filters directly in a command-line session.
APIs and CLITerraform Provider-Terraform provider for programmatically creating and managing Axiom resources including datasets, notifiers, monitors, and users.
Security and Compliance--Axiom’s data protection measures and compliance with major privacy/security frameworks.
Security and ComplianceComplianceSOC 2 Type II, GDPR, CCPA, HIPAAMeets industry standards for data handling and privacy.

Related links

  • Explore Axiom’s interactive demo Playground to try these features.
  • Check Axiom’s roadmap for upcoming features.
  • Contact Axiom if you have a feature request.
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