Deterministic observability · v1.9

Observe everything.
Optimize anything.

Full-stack observability with five levels of AI-driven root-cause analysis. Single binary. Your data never leaves your network. No black boxes — every verdict is explainable, every decision auditable.

Book a live demo → See it in action
5
AI levels
30+
Technologies
100%
Deterministic
~15s
Time to first signal
Speaks the languages your stack already speaks
Capabilities

One platform. Everything that matters.

From bare-metal CPU to distributed traces and database lock contention — InfinityObserve sees it all and connects the dots automatically.

Interactive demo

A real dashboard. Live data. Click around.

This isn't a screenshot. The charts update, the topology breathes, the AI verdict is generated client-side from realistic synthetic incidents.

infinityobserve.io / live-demo
LIVE
Hosts online
342
all reporting
Applications
128
63 .NET · 65 JVM
Open problems
12
2 critical · 4 high
P99 latency
187ms
↓ 12% vs last hour
Cluster CPU · last 60 minutes
live · 5s
CPU avg Memory avg Network MB/s
Top hosts by load
live
Service graph · cross-host call flow
click a service to highlight its calls
Service Database Cache Degraded
Distributed traces · last 60s
sampled at 100%
Infinity AI Problem analyzed automatically Confidence: 92%
Root cause: postgres-orders on db-pg-04 is exhibiting elevated lock contention starting at 14:32. This propagates downstream: order-svc request latency p95 jumped from 80ms to 720ms (9× normal), causing the gateway 5xx error spike you're seeing now.

Recommended actions: investigate the slow query on orders (avg 1.2s, called 674 times in the last 5 min); the autovacuum process is overdue (last run 18 days ago).
Seasonal baseline · day-of-week
db_cpu is 12.3σ above the typical value for Wednesdays at 14:00 on this host: baseline 28% ± 4.5% (28 days of history).
Change-point detection · CUSUM
cpu metric started climbing at 14:32 (12.3σ shift) — 18 min before the threshold fired. Coincides with deploy build-4471 at 14:30.
Cross-host causal chain · BFS
Upstream: db-pg-04 (hop 1, score 0.91) → order-svc on web-12 (hop 2, score 0.78) → api-gateway on web-01 (hop 3, score 0.64). All within 30-180s of the original deviation.
Level 5Change-point timeline
⏱ 18 min lead time
14:32 · started climbing
14:50 · problem opened
Infinity AI

Five levels of explainable root-cause analysis

No LLMs, no black boxes, no cloud round-trips. Pure deterministic algorithms — every conclusion comes with the evidence that produced it.

1
Causal analyzer
Templated narratives + 6 evidence types: topology, timeline, baseline deviation, co-occurrence, causal chain, change-point.
2
Forecasting + clustering
OLS regression for trend prediction. Incident clustering groups related problems into a single storm view.
3
Cross-host causal
BFS walks the service topology upstream. Scored by traffic share, time freshness, hop distance, and metric kind.
4
Seasonal baselines
Hour-of-day + day-of-week buckets (168 total). Detects "anomalous for Wednesdays at 14:00" — not just absolute thresholds.
5
Change-point detection
CUSUM algorithm pinpoints when a metric first started drifting — usually 10-30 min before the threshold actually fires.
New · Infinity Lens 1.3

Now observe the intelligence layer

Your stack is running LLMs now — so observe them like everything else. Register any model, compare them head-to-head, score answer quality and track cost per token. On-prem, OTLP-native, and prompts are never stored.

Infinity Lens
Comparison Lab
project: payments-assistant · up to 4 models · deterministic
Prompt · "Summarize this failed payment and suggest the next step for the customer."
Judge Deterministic quality evaluation · best answer Confidence: 0.87
Prompts and responses are never persisted — only spans, latency, token counts and scores. Scores are signals for human review, not proof of truth.
What sets us apart

Same depth as the giants.
None of the gotchas.

We compete with the same enterprise platforms you're already paying for — but we don't make you compromise on data ownership, transparency, or cost predictability.

/ 01
Your data stays yours
Self-hosted single binary. Nothing leaves your network. No telemetry phone-home. No vendor lock-in. Air-gap deployable.
/ 02
Deterministic AI
Every verdict is reproducible, auditable, and explainable. No probabilistic LLM hallucinations. Same input → same answer. Every time.
/ 03
No metric-volume billing
Flat-fee licensing per host. No DPM tax. No surprise overage bills when traffic spikes. Forecast costs accurately for the first time.
/ 04
15-second deployment
One binary. One config. Zero agents-of-agents. No collectors of collectors. Ship it, run it, get signal in less than a minute.
CapabilityInfinityObserveLegacy enterprise APMDIY open-source stacks
Full-stack observability (infra + apps + traces + logs + DB deep metrics)✓✓~
AI root-cause with 5 levels of evidence✓✓✗
Day-of-week seasonal baselines✓✓✗
Self-hosted single binary✓✗~
Data never leaves your network✓✗✓
Flat-fee predictable pricing✓✗✓
Deterministic, fully auditable verdicts✓~✗
Production-ready in < 1 hour✓✗✗
✓ supported · ~ partial · ✗ not supported. Comparison reflects publicly available product documentation as of 2025.
Get hands-on

Book a live demo

30-minute walkthrough with a real engineer (not a sales-engineer hybrid). We'll cover your specific stack and answer the hard questions.

  • Live walkthrough of your use case — not a generic slide deck
  • Real conversation with an engineer who built the platform
  • Custom proof-of-concept plan tailored to your infrastructure
  • Pricing discussion — no surprises, no negotiation games

You're all set!

We'll email a calendar invite to you in the next few minutes. Looking forward to it!