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Connect | Reading Module

Connect Service Topology

Status: Not Started | Pass threshold: 100% | Points: 55

L1 20 min

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Learning Guidance

Objectives

  • Map core services to team ownership.
  • Identify likely downstream blast radius for each service family.
  • Distinguish product logic failures from infrastructure saturation.

Evidence To Capture

  • Service owner and escalation path captured.
  • Critical dependency path documented.

Source Artifacts

Internal source references are available for maintainers but are not exposed in deployed environments.

Field Evidence

Real incidents related to what you're learning.

Module Content

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Key Takeaways

  • kepler-datadog/investigation-guide/TEAM-ROUTING.md
  • observability-audit/architecture/service-catalog.md
  • observability-audit/monitors/common-monitors.md
  • Menu dispatch failures often degrade freshness before hard outage.
  • Order event dispatch failures can block downstream fulfillment steps.

Overview

This map is derived from:

  • kepler-datadog/investigation-guide/TEAM-ROUTING.md
  • observability-audit/architecture/service-catalog.md
  • observability-audit/monitors/common-monitors.md

Critical Connect Services

ServiceTeamTierIncident Role
byte-connectconnect2external order injection and partner integration
order-injection-orchestratorconnect2order ingestion flow control
menu-push-orchestratorconnect2partner menu synchronization
switchboardcart2event dispatch to subscribers and vendors
switchboard listeners/consumerscart/connect2retry and event processing path

Key External Dependencies

DependencyRisk TypeExample
DoorDash/UberEatsorder/menu integration failuredelayed or rejected aggregator orders
Dragontailkitchen integration timeoutdispatch failure without direct platform outage
Network/DNSdistributed dispatch failurestimeout, connection refusal, nxdomain patterns

Fast Impact Heuristics

  • Menu dispatch failures often degrade freshness before hard outage.
  • Order event dispatch failures can block downstream fulfillment steps.
  • Single subscriber failure may be low risk; multi-subscriber failure is high risk.

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