Axiom Blog
Articles, engineering notes, and company updates from Axiom.
Measure less, learn more: Open-source documentation observability from Axiom
Most analytics tools tell you how docs pages are consumed. They rarely tell you whether they're effective. Do11y is our open-source attempt to close that gap by treating documentation as instrumented software.
April 20, 2026 Read more
Metrics are generally available
Metrics are now generally available. Hyper-cardinality, unified with logs and traces, and fully queryable by AI agents through MCP and a dedicated metrics skill.
March 25, 2026 Read more
Stop guessing. Ship AI products with confidence
Axiom launches AI observability features purpose-built for generative AI development. Capture rich telemetry, track costs automatically, and debug complex workflows with our new TypeScript SDK and pre-built dashboards.
September 22, 2025 Read more
The humble placeholder: A small documentation problem worth fixing
Axiom is simple to get started with. But there is one small, reliable stumbling point for new users: placeholder replacement in code examples. We built a small tool to fix it.
April 14, 2026 Read more
Dynamic subrings: Consistent hashing without the tradeoff
How dynamic subrings let MetricsDB balance writes, reads, and resilience without compromise.
April 10, 2026 Read more
The Sortable interface: Teaching every column type to sort itself
Replacing a one-size-fits-all sort with column-aware algorithms delivered speedups ranging from 2x to 26x, without changing a single query.
April 3, 2026 Read more
Data residency without compromise: introducing Axiom's new edge architecture
Axiom now runs on an edge-based architecture. Data is ingested and queried locally at your chosen edge deployment, while a single global control plane handles auth, billing, and routing. One login, one bill, and your data where it needs to be.
March 31, 2026 Read more
From cost center to strategic asset: How Monks transformed observability with Axiom
Global digital services company Monks cut observability costs by 40%, eliminated security blind spots, and unlocked AI readiness, guided by strategic technology advisor Three Tree Tech.
March 30, 2026 Read more
Find what's failing and why: review and issues for AI capabilities
Review AI traces with your team. Unstructured feedback becomes categorized issues you can investigate and resolve.
March 17, 2026 Read more
Catch what tests miss: Online evaluations for AI capabilities
Score your AI capability's outputs on live production traffic. Run reference-free scorers as fire-and-forget, control cost with per-scorer sampling, and trace every score back to the request that produced it.
February 27, 2026 Read more
Teaching AI to speak Splunk, then proving it works
We built open-source agent skills for Splunk-to-Axiom migration. Then we built evals to measure them, so every change is tested before it ships.
January 29, 2026 Read more
Close the loop: User feedback for AI capabilities
Capture user ratings and comments on AI outputs, link them to traces, and see exactly what your capability did when users were unhappy. The missing signal for continuous improvement.
January 23, 2026 Read more
2025 recap: Reflections on building data infrastructure for the AI era
Building the foundations for AI engineering, complete observability, and intelligent investigation.
December 19, 2025 Read more
Introducing GenAI functions: Analyze AI conversations with purpose-built APL functions
GenAI functions bring purpose-built capabilities to APL for analyzing AI conversation data. Extract user prompts, calculate costs, analyze conversation flow, and understand tool usage without jumping through hoops to parse complex JSON structures.
December 12, 2025 Read more
Stop shipping on vibes: Offline evaluations for AI capabilities
Axiom’s AI engineering toolkit expands with offline evaluations. Test AI capabilities against curated collections, compare configurations with flags, and catch regressions before they reach production.
December 2, 2025 Read more