Axiom (@AxiomFM) / X

Axiom

870 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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Axiom
@AxiomFM
Jun 17
every observability vendor has or will ship an mcp server within the next six months. most will just wrap the api they already had. that's the wrong shape on the other end. agents burn tokens on context built for a human to skim.
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Axiom reposted
Krish Goel
@krshgl
Jun 11
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
Jun 11
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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733
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
554
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
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 👇
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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
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 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
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Axiom
@AxiomFM
Apr 9
Generic sort ignored how columns actually store data ⚡ └ Compare-sort treated bounded fields like arbitrary values └ Enums, bitmaps, and bools already had structure to exploit └ We introduced Sortable: each type implements Sort and Select Engine calls one contract. Algorithms
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Axiom
@AxiomFM
Apr 9
Replying to @AxiomFM
The lesson applies beyond our engine 💡 └ Generic algorithms shine when you know nothing about the data └ Columnar layouts are wasted if sort ignores encoding └ One interface let us upgrade many types independently
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Axiom
@AxiomFM
Apr 9
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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Axiom
@AxiomFM
Apr 7
When observability becomes a liability, you're not just overpaying, you're flying blind 🚨 └ @madebymonks_ legacy stack forced heavy sampling └ Security blind spots slowed incident resolution └ AI workloads made costs spiral out of control There was a better way 👇
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Axiom
@AxiomFM
Apr 7
Replying to @AxiomFM
The architecture was built for AI scale from day one 🤖 └ OpenTelemetry for microservices, Events API for security tooling └ Monks.Flow now ingests petabyte-scale event streams cost-effectively └ Strict access controls baked in. Security and visibility, not a trade-off
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Axiom
@AxiomFM
Apr 7
Observability doesn't have to be a cost center 💡 └ Monks freed budget to expand client-facing security services └ Engineers stopped searching across systems for missing data └ The whole team got value from day one, no learning curve Read the full story →
axiom.co
From cost center to strategic asset: How Monks transformed observability with Axiom
Global digital services company Monks cut observability costs by 40%, eliminated security blind spots, and unlocked AI readiness, guided by strategic technology advisor Three Tree Tech.
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