Blog - Axiom

Product
Introducing Axiom for Splunk: Move your data, not your team
Two ways to reach Axiom data from inside Splunk: your index list, or your search bar. Nothing is copied into Splunk, both run at search time, and no Splunk ingest license is consumed.
AxiomSeptember 3, 2026
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
Product
Query budgets let you say yes to more agents
You can now give any API token or role an hourly or daily query budget in dollars. Agents can see what they've spent as they work, and when a budget runs out, only that caller stops.
Sayed AlesawyOctober 20, 2026
Engineering
The Parsers of Hanoi
A tale of three parsers.
Heinz GiesOctober 19, 2026
Observability cost: How much should you spend?
Test whether the bill still buys complete, queryable evidence.
AxiomOctober 15, 2026
Is Splunk a data lake?
The index is Splunk's operational store. The Machine Data Lake is a separate raw retention product.
AxiomOctober 12, 2026
What does Splunk's Machine Data Lake cost?
Landing and promotion are separate charges. Start from the published included package, then quote the rest.
AxiomOctober 10, 2026
Product
The agents would like a word with you
Agents were already our biggest users. Now they’re our biggest focus group.
Aisha BastawesySeptember 28, 2026
How to build a security data lake
A five-step guide to landing high-volume telemetry in an affordable, queryable event store that coexists with the SIEM you already run.
AxiomSeptember 27, 2026
How to think about security data lakes in 2026
Why the difference between a queryable lake and a rehydration-bound archive matters more in 2026 than price per gigabyte.
AxiomSeptember 26, 2026

Introducing Axiom for Splunk: Move your data, not your team

Fair samples from uneven workers

Query budgets let you say yes to more agents

The Parsers of Hanoi

Observability cost: How much should you spend?

Is Splunk a data lake?

What does Splunk's Machine Data Lake cost?

The agents would like a word with you

How to build a security data lake

How to think about security data lakes in 2026

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?

How to handle high-cardinality metrics without exploding costs: A practical playbook

Do you need managed ClickHouse?

Introducing the Axiom Partner Program

A new look for the modern machine data platform

How to evaluate Datadog alternatives for machine data

Orgs for agents: your agent can now set up Axiom by itself

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

From cost center to strategic asset: How Monks transformed observability with Axiom

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

2025 recap: Reflections on building data infrastructure for the AI era

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

Convex + Axiom: Complete observability for reactive backends

Designing MCP servers for wide schemas and large result sets

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

Stop guessing. Ship AI products with confidence

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

Reimagining pricing: Axiom's new approach

Security logs piling up? Axiom + Tarsal turn them from expense to asset

From burden to asset: reimagining logs at scale

Axiom FAQ for Enterprise customers

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

Monitoring at Axiom

Axiom and Cloudflare partner to deliver full global insight

When you’ve outgrown CloudWatch, turn to Axiom

Axiom and Serverless: The perfect pairing for o11y without limits

Sampling could be a costly mistake

Events, logging, and compliance

New customer stories: Audius, Cal.com, Unkey

Introducing Flow: Redefining event data processing

Axiom + Tailscale: Elevate your network visibility and security

Connect Axiom’s monitors to your favorite services

Introducing our new documentation

Axiom now in AWS Marketplace

Axiom and HIPAA

New customer stories: Salad, Hypermode, Hapn

Introducing annotations

Monitorama 2024: Booth A, new tees, and a party!

A tech writer’s adventure

Changes to Vercel Log Drains

Introducing Axiom Terraform Provider

Feature Recap

KubeCon Paris 2024: Drinks, chats, logs and traces with Axiom

Axiom secures ISO 27001 certification

Freedom from limits

Adaptive _time compression — A database hacker story

How to Enrich OPNsense Events with Threat Intel

2023 was a big year for Axiom. 2024 will be even bigger.

How to Use Axiom with OPNsense logs

OTel semantic conventions deep dive