Real-Time Analytics Platform  ·  View 01 of 21  ·  Context and scope

System Context

Who produces events, who consumes analytics, and which enterprise systems the platform depends on — the boundary of scope with no internal components shown.

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Governance and platform
Governance and platform
Microsoft Entra ID
Microsoft Entra ID
Microsoft Purview
Microsoft Purview
Azure Monitor
Azure Monitor
Event producers
Event producers
Web & Mobile Apps
client SDK
Web & Mobile Apps...
Partner Systems
REST · OAuth2
Partner Systems...
Devices & Edge
MQTT / AMQP
Devices & Edge...
Operational Databases
Azure SQL · PostgreSQL
Operational Databases...
Existing Kafka Estate
Existing Kafka Estate
Reference Data Lake
ADLS Gen2
Reference Data Lake...
Analytics consumers
Analytics consumers
Business Analysts
Business Analysts
Operations & SRE
Operations & SRE
Downstream Applications
Downstream Applications
Alerting & Automation
Logic Apps
Alerting & Automation...
Real-Time Analytics Platform
Azure · event to insight < 5 s
Real-Time Analytics Platform...
Enterprise data estate
Enterprise data estate
Enterprise Warehouse
Microsoft Fabric
Enterprise Warehouse...
Data Science & ML
Azure Machine Learning
Data Science & ML...
HTTPS event batches
HTTPS event batches
server-side events
server-side events
telemetry
telemetry
CDC log stream
CDC log stream
mirrored topics
mirrored topics
reference dimensions
reference dimensions
live dashboards
live dashboards
operational views
operational views
gold event topics
gold event topics
threshold triggers
threshold triggers
OAuth2 · RBAC
OAuth2 · RBAC
catalogue · lineage
catalogue · lineage
telemetry · alerts
telemetry · alerts
historical export
historical export
feature extracts
feature extracts
Real-Time Analytics Platform — System Context
Real-Time Analytics Platform — System Context
Security / platform
Security / platform
External / third party
External / third party
Data store
Data store
Person or role
Person or role
event / async
event / async
batch
batch
synchronous
synchronous
two-way
two-way
v 1.0 · owner Data & AI Architecture · date 2026-08
v 1.0 · owner Data & AI Architecture · date 2026-08
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In scope

  • Ingestion of application, partner, device and change-data events with schema validation
  • Durable retention and replay of every raw event accepted by the platform
  • Windowed metric computation and a sub-2-second query surface over hot data

Out of scope

  • Model training and inference — the platform serves features, it does not score
  • Dashboard authoring and semantic modelling owned by the BI practice
  • Source system remediation; the platform reads, it never corrects at source

Assumptions to confirm

  • Peak 180k events/s, 3.2 billion events/day, 1.1 KB average event — sizing depends on this
  • Data residency is EU; primary region Sweden Central, DR Germany West Central
  • Producers can adopt an Entra ID client-credentials flow; no shared keys are issued