Event and Streaming Data Architecture Template
Documenting the event-driven and streaming data architecture, clarifying real-time vs batch semantics and event ownership
The Event and Streaming Data Architecture template provides a structured approach to documenting the event-driven and streaming data architecture, clarifying real-time vs batch semantics and event ownership.
Template Sections
This template includes 7 sections.
Event Architecture Overview
Describe the event-driven strategy: the event platform, the event types (domain events, integration events, system...
Event Architecture Diagram
Diagram section
Primary Event Specification
Document the most important event: its schema, producer, consumers, delivery semantics, ordering guarantees, and the...
Secondary Event Specification
Document the second most important event
Event Design Principles
State the principles: events are immutable facts, producers own the schema, consumers must be tolerant of unknown...
Schema Evolution Pattern
Document the schema evolution approach: versioning strategy, compatibility rules, schema registry usage, and the...
Event Architecture Risks
Document risks: schema breaking changes, consumer lag, event ordering violations, dead letter queue growth, and event...
Section Details
Block Types Used
| Section | Block Type | Purpose |
|---|---|---|
| Event Architecture Overview | Rich Text | Describe the event-driven strategy: the event platform, the event types (domain... |
| Event Architecture Diagram | Diagram | Diagram section |
| Primary Event Specification | Event Specification | Document the most important event: its schema, producer, consumers, delivery... |
| Secondary Event Specification | Event Specification | Document the second most important event |
| Event Design Principles | Principle | State the principles: events are immutable facts, producers own the schema,... |
| Schema Evolution Pattern | Architecture Pattern | Document the schema evolution approach: versioning strategy, compatibility... |
| Event Architecture Risks | Risk | Document risks: schema breaking changes, consumer lag, event ordering... |
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