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.

01

01 Sources

Open data sources

Connect application, infrastructure, and business operational data through agents, OpenTelemetry, Kubernetes, APIs, and third-party systems.
02

02 Ingestion

Collection and processing

Collect, normalize, route, and process metrics, logs, traces, events, network activity, and sessions in real time.
03

03 Runtime Context

Live relationships and impact

Connect services, resources, environments, changes, and owning teams to continuously reconstruct the runtime system.
04

04 Intelligence

Analytics and AI assistance

Use cross-signal data and live relationships to detect anomalies, assess impact, and provide AI with usable system context.
05

05 Action

Workflows and action

Connect notifications, remote operations, batch tasks, failure experiments, and recovery workflows to analytic outcomes.
06

06 Governance

Identity, policy, and audit

Manage data access and operating scope through identity, roles, scoped tokens, approvals, 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.

  1. 01

    Ingest and process operational data

    Continuously capture critical telemetry and change without forcing the business system into a new operating model.

  2. 02

    Build live system relationships

    Organize applications, resources, requests, events, environments, and owners into queryable runtime context.

  3. 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.