Engineering - Axiom Blog

Engineering, Product
Fair samples from uneven workers
How we built sample n in APL: a reservoir-sampling operator that reads a whole time range in one pass, and a merge that weights each worker's sample by the rows it matched.
Mohamed FathyOctober 27, 2026
Engineering
The Parsers of Hanoi
A tale of three parsers.
Heinz GiesOctober 19, 2026
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 CurranSeptember 24, 2026
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 GiesSeptember 22, 2026
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.
AxiomSeptember 1, 2026
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.
AxiomSeptember 1, 2026
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 PatelJuly 30, 2026
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.
AxiomJuly 29, 2026
Engineering
How many bitmaps does it take to beat a gorilla?
Why we built our own caching and storage format.
Heinz GiesJuly 8, 2026
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 EhrlichJune 22, 2026

Fair samples from uneven workers

The Parsers of Hanoi

Adaptive Tiering lowers the cost of keeping machine data you haven't queried recently

Hermes agent plugin: Where did all my tokens go?

Why does Splunk cost so much?

How much does it cost to store machine data in Splunk?

At petabyte scale, telemetry ingestion becomes a data-centre architecture problem

Introducing Bifrost: A new loading path for petabyte-scale OpenTelemetry

How many bitmaps does it take to beat a gorilla?

Introducing Correlations: from symptom to system state

Measure less, learn more: Open-source documentation observability from Axiom

The humble placeholder: A small documentation problem worth fixing

Dynamic subrings: Consistent hashing without the tradeoff

The Sortable interface: Teaching every column type to sort itself

Data residency without compromise: introducing Axiom's new edge architecture

Metrics are generally available

Find what's failing and why: review and issues for AI capabilities

Catch what tests miss: Online evaluations for AI capabilities

Teaching AI to speak Splunk, then proving it works

Close the loop: User feedback for AI capabilities

Introducing GenAI functions: Analyze AI conversations with purpose-built APL functions

Stop shipping on vibes: Offline evaluations for AI capabilities

Introducing metrics: High-cardinality without the cost

Designing MCP servers for wide schemas and large result sets

Haydex: From Zero to 178,600,000,000 rows a second in 30 days

Your agents are only as good as their context. Give them everything with Axiom MCP

Understand your event data in seconds with Spotlight

What building AI features taught us about the future of observability

Axiom’s new JS logging libraries: Flexible, powerful, framework-agnostic

New dashboard elements: heatmaps, pie charts, monitor lists, and notes

Monitoring at Axiom

Events, logging, and compliance

Introducing Flow: Redefining event data processing

Connect Axiom’s monitors to your favorite services

Introducing our new documentation

Introducing annotations

Introducing Axiom Terraform Provider

Freedom from limits

Adaptive _time compression — A database hacker story

How to Enrich OPNsense Events with Threat Intel

How to Use Axiom with OPNsense logs

OTel semantic conventions deep dive

The Right To Be Forgotten vs Audit Trail Mandates: A Tech-Law Expert’s Guidance for Log Management

Why should I even consider OTel?

It’s time to stop self-managing your log infrastructure

Observability: A brilliant idea whose name has been hijacked

Distributed Tracing adds visual instrumentation for microservices

New Pricing: Axiom starts lower, stays lower

Upgrade your Grafana experience with the Axiom data source plugin

Monitoring HTTP Requests with Cloudflare Workers

How We Made the Axiom Vercel Integration Even Better

Zero-Config Observability for Netlify

Monitoring AWS Lambda with Axiom

Get Deep Visibility into CloudFront Logs with Axiom

June Changelog: What’s New at Axiom

May Changelog: What’s New at Axiom

April Changelog: What’s New at Axiom

Vercel Integration

Make Your Logstash Pipeline More Powerful with Axiom

February Changelog: What’s New at Axiom

Shipping Filesystem Metrics to Axiom

November Changelog: What’s New at Axiom

Query Logs with Axiom CLI

Monitor and Analyze Your Heroku Applications with Axiom

October Changelog: What’s New at Axiom

Monitoring using Axiom’s Data Explorer

September Changelog: What’s New at Axiom

Introducing Axiom Playground

Improved Incident Response with Alerts from PagerDuty on Axiom

Observing IBM Kubernetes service

Getting the best out of Axiom’s Log Streams

Learn how to setup Monitors and Notifiers

Use Axiom and MetricBeat to better understand system performance

Visualizing log events with Axiom

Use Axiom and Redis for better performance monitoring

Getting Sophisticated alerts from Filebeat on Axiom

Shipping uptime metrics to Axiom

Monitoring Rancher with Axiom

How to Analyze Logstash logs on Axiom.

Monitor DigitalOcean Kubernetes Service with Axiom