
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.
Axiom

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 Fathy

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 Alesawy

Product
The agents would like a word with you
Agents were already our biggest users. Now they’re our biggest focus group.
Aisha Bastawesy

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, 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

Company, Product
A new look for the modern machine data platform
Why we redesigned axiom.co and the decisions behind the new site, with the before and after.
Neil Jagdish Patel

Product
Orgs for agents: your agent can now set up Axiom by itself
Agents can do more if you let them. Axiom won't get in their way.
Neil Jagdish Patel

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
Introducing Bifrost: A new loading path for petabyte-scale OpenTelemetry
Read postIntroducing Correlations: from symptom to system state
Read postMeasure less, learn more: Open-source documentation observability from Axiom
Read postThe humble placeholder: A small documentation problem worth fixing
Read postData residency without compromise: introducing Axiom's new edge architecture
Read postFrom cost center to strategic asset: How Monks transformed observability with Axiom
Read postMetrics are generally available
Read postFind what's failing and why: review and issues for AI capabilities
Read postCatch what tests miss: Online evaluations for AI capabilities
Read postTeaching AI to speak Splunk, then proving it works
Read postClose the loop: User feedback for AI capabilities
Read postIntroducing GenAI functions: Analyze AI conversations with purpose-built APL functions
Read postStop shipping on vibes: Offline evaluations for AI capabilities
Read postIntroducing metrics: High-cardinality without the cost
Read postConvex + Axiom: Complete observability for reactive backends
Read postStop guessing. Ship AI products with confidence
Read postYour agents are only as good as their context. Give them everything with Axiom MCP
Read postUnderstand your event data in seconds with Spotlight
Read postWhat building AI features taught us about the future of observability
Read postAxiom’s new JS logging libraries: Flexible, powerful, framework-agnostic
Read postReimagining pricing: Axiom's new approach
Read postSecurity logs piling up? Axiom + Tarsal turn them from expense to asset
Read postFrom burden to asset: reimagining logs at scale
Read postAxiom FAQ for Enterprise customers
Read postNew dashboard elements: heatmaps, pie charts, monitor lists, and notes
Read postMonitoring at Axiom
Read postAxiom and Cloudflare partner to deliver full global insight
Read postWhen you’ve outgrown CloudWatch, turn to Axiom
Read postAxiom and Serverless: The perfect pairing for o11y without limits
Read postSampling could be a costly mistake
Read postEvents, logging, and compliance
Read postIntroducing Flow: Redefining event data processing
Read postAxiom + Tailscale: Elevate your network visibility and security
Read postConnect Axiom’s monitors to your favorite services
Read postIntroducing our new documentation
Read postAxiom now in AWS Marketplace
Read postIntroducing annotations
Read postMonitorama 2024: Booth A, new tees, and a party!
Read postA tech writer’s adventure
Read postChanges to Vercel Log Drains
Read postIntroducing Axiom Terraform Provider
Read postFeature Recap
Read postKubeCon Paris 2024: Drinks, chats, logs and traces with Axiom
Read postFreedom from limits
Read postHow to Enrich OPNsense Events with Threat Intel
Read postHow to Use Axiom with OPNsense logs
Read postOTel semantic conventions deep dive
Read postJoin us at re:Invent!
Read postThe Right To Be Forgotten vs Audit Trail Mandates: A Tech-Law Expert’s Guidance for Log Management
Read postJoin us at KubeCon!
Read postWhy should I even consider OTel?
Read postIt’s time to stop self-managing your log infrastructure
Read postTraces are just logs — unify your approach for deeper insights
Read postIntroducing the Axiom Cloudflare Logpush app
Read postIntroducing New Chart Types for Advanced Logging and Observability in Axiom
Read postObservability: A brilliant idea whose name has been hijacked
Read postDistributed Tracing adds visual instrumentation for microservices
Read postNew Pricing: Axiom starts lower, stays lower
Read postUpgrade your Grafana experience with the Axiom data source plugin
Read postMonitoring HTTP Requests with Cloudflare Workers
Read postHow We Made the Axiom Vercel Integration Even Better
Read postZero-Config Observability for Netlify
Read postA New Look for Axiom
Read postMonitoring AWS Lambda with Axiom
Read postAdvanced Observability for Vercel
Read postWorking with Aggregations
Read postWorking with Dashboards in Axiom
Read post