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.

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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.
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!

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