feat(docs): add telemetry backend streaming architecture design#1092
feat(docs): add telemetry backend streaming architecture design#1092yakshithkd23 wants to merge 1 commit into
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WalkthroughThis PR adds three documentation files describing a telemetry backend system. The README introduces the end-to-end architecture with client-side buffering, HTTPS ingestion, streaming processing via Kafka and Spark, analytical datastore storage, and dashboard visualization. Architecture design and data schemas documents provide supporting framework definitions. ChangesTelemetry Backend Documentation
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Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@docs/telemetry-backend/architecture-design.md`:
- Around line 1-3: The document "Architecture Design: Telemetry Streaming
Pipeline" is currently a stub; expand it to provide the promised end-to-end
blueprint by adding sections for a system component diagram, a clear data flow
sequence (client → ingestion → Kafka → Spark/stream processing → datastore →
dashboard), component responsibilities and interfaces (ingester, Kafka topics,
stream processor, storage, visualization), deployment architecture (k8s/VMs,
networking, configs), and scaling/fault-tolerance strategies (partitions,
consumer groups, checkpointing, retries, monitoring); if you intended this as a
placeholder, replace the body with a brief “TODO/Planned” note referencing issue
`#719` and an expected content outline.
In `@docs/telemetry-backend/data-schemas.md`:
- Line 1: Replace the placeholder intro in
docs/telemetry-backend/data-schemas.md with concrete JSON schema definitions:
add event payload schemas for performance metrics, user interactions, and crash
logs (with required vs optional fields, data types, and validation constraints),
include example JSON payloads, an error response format, and a schema versioning
strategy for evolution; ensure each schema is named and discoverable (e.g.,
"PerformanceEvent", "InteractionEvent", "CrashEvent") and document required
fields, types, and sample payloads so the Flutter client and backend ingest
service can implement compatible serialization/deserialization, or if this is a
deliberate stub, add a clear "planned work / TODO" note with expected
deliverables and timeline.
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📒 Files selected for processing (3)
docs/telemetry-backend/README.mddocs/telemetry-backend/architecture-design.mddocs/telemetry-backend/data-schemas.md
| # Architecture Design: Telemetry Streaming Pipeline | ||
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| This document details the end-to-end data flow and architectural components governing the telemetry backend. No newline at end of file |
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Complete the architectural documentation.
This file currently contains only a title and introductory sentence but promises to "detail the end-to-end data flow and architectural components." The PR description indicates this document should provide a "blueprint for the end-to-end data pipeline," yet no actual architectural details, component descriptions, data flow diagrams, or design decisions are present.
Developers implementing issue #719 will need concrete architectural guidance. Consider adding:
- System component diagram
- Data flow sequence (client → ingestion → Kafka → Spark → datastore → dashboard)
- Component responsibilities and interfaces
- Deployment architecture
- Scaling and fault-tolerance strategies
If this is intentionally a stub for future work, please add a note indicating the content is planned but not yet implemented.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@docs/telemetry-backend/architecture-design.md` around lines 1 - 3, The
document "Architecture Design: Telemetry Streaming Pipeline" is currently a
stub; expand it to provide the promised end-to-end blueprint by adding sections
for a system component diagram, a clear data flow sequence (client → ingestion →
Kafka → Spark/stream processing → datastore → dashboard), component
responsibilities and interfaces (ingester, Kafka topics, stream processor,
storage, visualization), deployment architecture (k8s/VMs, networking, configs),
and scaling/fault-tolerance strategies (partitions, consumer groups,
checkpointing, retries, monitoring); if you intended this as a placeholder,
replace the body with a brief “TODO/Planned” note referencing issue `#719` and an
expected content outline.
| @@ -0,0 +1 @@ | |||
| # This document outlines the structured JSON communication schemas established between the Flutter client application and the streaming backend ingest framework. No newline at end of file | |||
There was a problem hiding this comment.
Provide the actual JSON schemas.
This file contains only an introductory sentence but no actual schema definitions. The PR description indicates this document should provide "structured JSON data contract between the Flutter client application and the backend streaming services," yet no schemas, field definitions, validation rules, or examples are present.
Schema definitions are critical for client-backend integration. Consider adding:
- Event payload schemas (performance metrics, user interactions, crash logs)
- Required vs. optional fields
- Data types and validation constraints
- Example JSON payloads
- Versioning strategy for schema evolution
- Error response formats
Without concrete schemas, neither the Flutter client team nor the backend ingestion team can implement compatible serialization/deserialization logic.
If this is intentionally a stub for future work, please add a note indicating the schemas are planned but not yet defined.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@docs/telemetry-backend/data-schemas.md` at line 1, Replace the placeholder
intro in docs/telemetry-backend/data-schemas.md with concrete JSON schema
definitions: add event payload schemas for performance metrics, user
interactions, and crash logs (with required vs optional fields, data types, and
validation constraints), include example JSON payloads, an error response
format, and a schema versioning strategy for evolution; ensure each schema is
named and discoverable (e.g., "PerformanceEvent", "InteractionEvent",
"CrashEvent") and document required fields, types, and sample payloads so the
Flutter client and backend ingest service can implement compatible
serialization/deserialization, or if this is a deliberate stub, add a clear
"planned work / TODO" note with expected deliverables and timeline.
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Signed-off-by: Yakshith K D <yakshithkd97@gmail.com>
yakshithkd23
changed the title
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i was started to create backend logic as per the architecture in my personal repository , since i was planned backend of telemetry such way that it will become a new service or module. |
1 participant
Overview
This Pull Request introduces the foundational architectural and design documentation for the real-time telemetry processing backend under a new dedicated directory:
docs/telemetry-backend/.Changes Included
README.md: Outlines the high-level system components, decoupling logic (offline buffering vs. server processing), and the technical stack (Apache Kafka, Apache Spark Streaming, and analytical datastores).architecture-design.md: Provides the blueprint for the end-to-end data pipeline feeding the real-time operator monitoring dashboard.data-schemas.md: Details the structured JSON data contract between the Flutter client application and the backend streaming services.Context & Goals
This architecture supports the development of the server-side infrastructure required for issue #719. It addresses scaling requirements by offloading telemetry workloads from the main client application through local Hive queueing, high-throughput message streaming, and windowed analytical processing.
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