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THE DIGITAL LIGHTHOUSE
  1. CHARTING THE OCEAN
  2. TELEMETRY ENGINE
  3. AFPM CORRELATOR
  4. TOPOLOGY MAP
  5. ALERTING
  6. VISUAL ENGINE
TRACSTON OBSERVATORY
THE LIGHTHOUSE // LIVE
WATCHINGYOUR INFRASTRUCTURE
SCENE 01 / AWAKEN
  1. 01AWAKEN
  2. 02THE STORM
  3. 03ACTIVATION
  4. 04ONE TRUTH
  5. 05AFPM
  6. 06DEPTH
  7. 07ROOT CAUSE
  8. 08COLLAB
  9. 09DEPLOY
AI-native observability for humans and agents

See Through the Storm.
Guide Every Decision.

AI-native observability for humans and autonomous agents — connecting AI flows, applications, business services, infrastructure, networks and digital experiences into one operational picture.

Explore Observatory Discover AFPM
12,842AI FLOWS184AGENTS427SERVICES1,284HOSTS 3INCIDENTS840msP95$1,284AI COST98.7%NETWORK

ILLUSTRATIVE ESTATE · TYPICAL SCALE, NOT A CUSTOMER'S DATA

SCROLL TO BEGIN ▾
Chapter one — the storm

Modern Systems Are
Becoming Harder to Navigate.

AI AgentsLLMsApplicationsAPIsMicroservices KubernetesCloudSaaSDatabasesNetworksUsersAutomation
MORE SIGNALS DON'T CREATE MORE CLARITY.
Lighthouse activation

Turn Telemetry Into Direction.

As the beam sweeps, noise organizes. Dependencies become visible. Topology forms. Signals correlate into one clear operational map.

342SERVICES
1,204HOSTS
184AGENTS
18MODELS
27MCP SERVERS
3INCIDENTS
Humans and AI agents

Humans and AI Agents
Share One World.

Humans and AI agents operate in the same increasingly complex digital world. Observatory gives both of them the visibility, context and operational intelligence needed to navigate it.

ENGINEER
↓
OBSERVATORY
↓
INVESTIGATION
↓
DECISION
⇄
AI AGENT
↓
OBSERVATORY API / CONTEXT
↓
OPERATIONAL EVIDENCE
↓
SAFE ACTION
ONE OPERATIONAL TRUTH.
AFPM — AI Flow & Performance Monitoring

See How AI Actually Operates.

Follow AI execution from the first prompt through models, agents, tools, MCP servers, retrieval systems, applications and infrastructure.

HumanPromptImperiumModel RouterLLMAgent Sub-AgentMCPToolApplicationDatabaseInfrastructure
PROMPT12 ms
IMPERIUM8 ms
ROUTING4 ms
MODEL842 ms
AGENT184 ms
MCP38 ms
TOOL420 ms
DATABASE92 ms
MODEL730 ms
TOTAL 2.33 sec — the lighthouse finds the bottleneck: MODEL routing, 842 ms.

ILLUSTRATIVE TRACE

AFPM // INVESTIGATIONAI CHECKOUT ASSISTANT SLOW

Symptoms: response time increased 280%.

AI Assistant → Agent → MCP → Inventory API → PostgreSQL → connection pool
ROOT CAUSE: DATABASE CONNECTION POOL EXHAUSTION
Surface to seabed

Visibility at Every Depth.

AI doesn't run in isolation. Observatory sees every layer underneath it — from the people and services at the surface to the network and infrastructure at the ocean floor.

SURFACE
HumansBusiness ServicesAI Agents
NEAR SURFACE
ApplicationsAPIsAI Services
MIDDLE
ContainersKubernetesDatabases
DEEP OCEAN
VMsHostsStorage
OCEAN FLOOR
NetworkPhysical Infrastructure
The storm — incident

Don't Count Alerts.
Understand Incidents.

One system fails. The failure propagates — Database → API → Payment → Checkout → AI Assistant → Customer Experience. Waves become stronger. Telemetry becomes noisy.

0ALERTS
→
0RELATED EVENTS
→
0AFFECTED COMPONENTS
→
0INCIDENT
→
0ROOT CAUSE
PostgreSQL Connection Pool96% CONFIDENCE
  • connection wait +430%
  • new deployment 4 minutes earlier
  • agent concurrency 8× baseline
  • API latency correlated
  • affected services: 6
Ask the lighthouse
Why is checkout slow?
Checkout latency increased at 14:32. Primary cause: PostgreSQL connection pool exhaustion. Contributing factor: AI reconciliation agent concurrency increased from 4 to 32. Affected: Checkout, Payments, Customer Portal, AI Assistant.
View EvidenceOpen TimelineView TopologyRecommended Actions

AI with operational evidence — not "AI knows everything." Every answer is graded:

OBSERVATIONFACTCORRELATIONINFERENCERECOMMENDATIONCONFIDENCE
One lighthouse

One Lighthouse.
Humans and Agents.

Observatory provides humans with understandable operational intelligence and agents with structured context they can safely use to investigate and act.

HUMAN OPERATOR

Incident. Root cause. Evidence. Recommended action.

⇄

AI AGENT

Machine-readable operational context, safely scoped.

THE SAME OPERATIONAL REALITY.
Deployment

Runs Where Your Estate Runs.

STANDALONERuns on its own — no ResolveSystem required
TOGETHERFeeds customer and management views in ResolveSystem
CUSTOMER-MANAGEDDeployed inside your own infrastructure
OBSERVATORYsees, correlates and explains what is happening across the estate — including the AI layer
IMPERIUMgoverns the identities, policies and actions of organisational AI
SENTINELan independent integrity layer for Imperium

Capabilities are enabled according to deployment and licensing. Observatory does not require Imperium — the two connect when both are deployed.

Nothing here replaces your judgement. Observatory explains and recommends; an approval-gated action is the only thing it is allowed to execute on its own.
Request a walkthrough

The public request form ships with the next release. Reach out through your usual Tracston contact in the meantime.