Axiom (@AxiomFM) / X

Axiom

869 posts

Axiom

@AxiomFM

AI-scale events, logs, metrics, & traces - instantly queryable, fractional cost.

🌍

Joined August 2016

Pinned
Axiom
@AxiomFM
Sep 3, 2025
Spotlight + AI is here ✨ - Investigate anomalies in seconds—no guesswork, no endless query iteration. Select a region on a chart → Spotlight compares it against baseline behavior → Get a clear, trustworthy summary of what’s different Learn more ↓
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26K
Axiom reposted
Krish Goel
@krshgl
12h
It’s crazy to me how @LittlebirdAI can just - - monitor @AxiomFM to identify live issues, - read the codebase from @github + fetch recent merges, - get context from @SlackHQ - RCA and - create + assign fully context-aware @linear tickets All while I tweet in its praise.
Littlebird
@LittlebirdAI
15h
Integrations are here. Littlebird now helps you work across all your tools and remembers everything. What you need to do, when you need it, and what that vague task from three Tuesdays ago was actually about. Need to make a Notion doc? Ask Littlebird. Need to update your
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Axiom
@AxiomFM
Jun 10
a customer called years on a legacy o11y vendor “learned helplessness.” you stop picking the best telemetry and start picking the cheapest billable footprint. eventually you don’t notice you're doing it.
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650
Axiom reposted
Ben
@benclmn
May 13
Just released a new pi extension to debug your Axiom logs
GitHub - benclmnt/pi-axiom: Pi extension for querying Axiom logs
From github.com
532
Axiom reposted
LlamaIndex 🦙
@llama_index
Apr 29
Parsing documents with AI agents just got a lot more seamless🚀 We've rebuilt the LlamaParse MCP server to handle your document processing workflows, and you can connect it today to any MCP-compatible client at mcp.llamaindex.ai/mcp 🌐 Once connected, you'll be able to: 📁
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20K
Axiom reposted
Michael K
@MKassabov
Apr 28
Adding @AxiomFM support to @alchemy_run and I think we have our process from nothing to usable resources for a cloud provider down to like 30 minutes of mostly agent waiting
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Axiom
@AxiomFM
Apr 14
Replying to @AxiomFM
Dynamic subrings serve a multi-tenant fleet where cardinality varies 1000x across customers 🔍 └ Try the interactive simulator in the post └ See the ring, subring, and auto-sizing in action Read the full deep dive →
axiom.co
Dynamic subrings: Consistent hashing without the tradeoff
How dynamic subrings let MetricsDB balance writes, reads, and resilience without compromise.
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Axiom
@AxiomFM
Apr 14
Replying to @AxiomFM
What this means in production 🔌 └ Faster dashboards: queries touch only the nodes that matter └ Better compression: data locality within subrings └ Built-in resilience: failover is the same mechanism as load balancing └ No per-metric ceilings: workloads scale without
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Axiom
@AxiomFM
Apr 14
Replying to @AxiomFM
The key insight: subrings size themselves automatically 📐 └ 1,000-series metric → small subring └ 1,000,000-series metric → larger subring └ Primary nodes calculate ideal size from live series counts └ Thresholds prevent oscillation No tuning, no guesswork.
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Axiom
@AxiomFM
Apr 14
Replying to @AxiomFM
Dynamic subrings: consistent hashing without the compromise 🎯 └ Nest a small ring inside the main hash ring for each metric └ Series hash within the subring for balanced writes └ Queries touch only the subring's nodes, not the whole cluster Deep dive →
axiom.co
Dynamic subrings: Consistent hashing without the tradeoff
How dynamic subrings let MetricsDB balance writes, reads, and resilience without compromise.
218
Axiom
@AxiomFM
Apr 14
Distributed metrics systems force a hard tradeoff: hash by series for balanced writes, or by metric for fast reads ⚡ └ Fan out to every node? Slow queries. └ Pin metrics to one node? Write bottlenecks. └ At multi-tenant scale, neither extreme works. We solved it 👇
1.4K
Axiom reposted
Brian Lovin
@brian_lovin
Apr 10
Advice to fellow side project tinkerers: don't forget to set up aggressive logging! (OTel traces + manual event capture + Vercel log drain into Axiom works great for me) I can fix most bug reports by pasting the user's email into an LLM connected to the Axiom MCP. Between events
26K
Axiom
@AxiomFM
Apr 9
Replying to @AxiomFM
What this unlocks next :rocket: └ Fast enough to push more ordering to the API └ Less reliance on sorting huge result sets in the browser Full write-up →
axiom.co
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.
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