01 Sources
Architecture
From incoming signalsto controlledaction
Diting collects operational data, builds live relationships, analyzes impact, and connects automation with human decisions inside enterprise safety controls.
Information Flow
Architecture matterswhen information keepsmoving into action.
Data does not stop in storage and dashboards. Every signal is processed, related, and assessed for impact before it reaches notifications, tasks, experiments, or human operations.
Architecture Layers
Six capability layersserve oneoperating system.
From environment access to organization governance, every layer owns a clear responsibility and connects through shared entity, time, and access models.
02 Ingestion
Collection and processing
03 Runtime Context
Live relationships and impact
04 Intelligence
Analytics and AI assistance
05 Action
Workflows and action
06 Governance
Identity, policy, and audit
System Flow
Ingest data once.Increase itscontextcontinuously.
Open ingestion preserves data choice, live relationships add system meaning, and intelligence plus workflows turn understanding into action.
- 01
Ingest and process operational data
Continuously capture critical telemetry and change without forcing the business system into a new operating model.
- 02
Build live system relationships
Organize applications, resources, requests, events, environments, and owners into queryable runtime context.
- 03
Connect decisions to action
Complete response through AI assistance, workflows, operations, and experiments inside the governance model.
Next
Understand theinformation flow.Choose the firstproblem to solve.
Start with application reliability, Kubernetes operations, incident response, or resilience engineering and see how the architecture works in your environment.