
Product, Engineering
Adaptive Tiering lowers the cost of keeping machine data you haven't queried recently
Adaptive Tiering moves settled event data between three tiers based on how recently it was queried, so keeping logs, traces and events for longer costs progressively less. Every tier has the same latency, and there’s no restore step or anything to configure.
Conor Curran

Engineering
Hermes agent plugin: Where did all my tokens go?
A plugin that ships Hermes agent telemetry to Axiom as OpenTelemetry, and how we built it.
Heinz Gies

Engineering, Product
Why does Splunk cost so much?
Indexed search, schema-on-read, and indexer-bound readiness made the product. They also made the meter expensive at volume.
Axiom

Engineering, Product, Company
How much does it cost to store machine data in Splunk?
Splunk's bill combines ingest volume and retention path, not a flat storage rate; here's what a 1 TB/day workload costs.
Axiom

Product, Engineering
At petabyte scale, telemetry ingestion becomes a data-centre architecture problem
Why the shaping work hiding inside "ingest" should move to where telemetry is produced.
Neil Jagdish Patel

Product, Engineering
Introducing Bifrost: A new loading path for petabyte-scale OpenTelemetry
Bifrost is a new high-volume OpenTelemetry data-loading path for Axiom's machine data platform, now in private preview.
Axiom

Engineering
How many bitmaps does it take to beat a gorilla?
Why we built our own caching and storage format.
Heinz Gies

Product, Engineering
Introducing Correlations: from symptom to system state
Connect logs, traces, and metrics so investigations can move from the first clue to the surrounding system state without manual query stitching.
Christopher Ehrlich

Product, Engineering
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.
Mano Toth

Engineering
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.
Hassan Ezzeldeen, Mano Toth, Tomás Senart
Metrics are generally available
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