This week is a big one for Axiom. We've made metrics generally available. Axiom now stores and queries logs, traces, metrics, and events in one platform.
Metrics are production-ready
Metrics are now generally available. MetricsDB applies the same architecture Axiom already uses for logs, traces, and events: object storage, ephemeral compute, and no active time series limits. Track every container, service instance, and GPU. The cost model doesn't penalize you for it. Ingest is billed per GB, the same model as everything else you send to Axiom, with no active series count to manage.
Metrics integrate fully with dashboards and monitors, and are queryable alongside your logs, traces, and events in one platform.
MPL (Metrics Processing Language) ships alongside the GA release as a public preview feature. It's a pipeline-based, code-first query language built for time-series operations, designed to be readable by humans, composable by AI agents. Metrics are queryable through Axiom MCP server and a dedicated metrics skill from day one.
For more information, see the full announcement.
Multiple metrics queries in dashboards and Canvas
Dashboard charts can now combine multiple metrics queries into a single time series visualization. Each query can be assigned to a primary or secondary y-axis, making it straightforward to overlay metrics with different scales, like request count and p99 latency, on the same chart. The query preview tooltip, explore, and create monitor actions all work with multi-query charts out of the box.
We've also added a new Include zero values option for y-axis scaling. Previously, chart axes always fit to data. Now you can pin the y-axis to zero for a more accurate visual baseline.
Metrics queries are now fully supported in Canvas as well, bringing the same multi-query and visualization capabilities to ad-hoc exploration.
Revamped metrics dataset summary view
The dataset summary page for metrics datasets has been substantially improved. You can now see an ingest usage chart for your metrics dataset with a configurable date range, browse your metrics in a virtualized list with search, filter by metric type using the dropdown, and jump directly into a query for any metric. Metric type icons in the list make it easier to distinguish gauges, counters, histograms, and summaries at a glance.
Faster page loads with persistent caching
Axiom now persists some frequently accessed data. This means that navigating to dashboards, datasets, monitors, and other pages feels snappier. When you refresh the page or return after a short break, Axiom displays cached data immediately and refreshes it in the background if it's stale. This replaces the previous client-side caching with a more comprehensive and reliable approach.
More of our favorite changes
- Improved scroll behavior and rendering performance in the Stream tab.