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Back to course: Kitchen and Fleet

Kitchen & Fleet | Reading Module

Kitchen and Fleet Platform Overview

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

L2 35 min

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BYTE Platform Context for Kitchen and Fleet

Reading Module

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Learning Guidance

Objectives

  • Store edge runtime
  • Market/head-office cloud layer
  • Global shared services
  • Order production continuity in kitchen workflows

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.

01KJ37K5MPZ9FT4HCY81N92VPE

2/22/2026 | n/a

medium

Container forcibly terminated due to out of memory in backend-users-deployment-green pod

• Org: • Env: prod • Service: A container in prod was forcibly terminated • indicates either a memory leak or insufficient memory limit • engage on-call SRE ...

shared Keywords: sre, httpsRoot cause (data) aligns with L2 focus

Study Incident →

01KJ164E883MJFSKRFTN40ETBH

2/21/2026 | n/a

medium

Container in backend-users-deployment-green-57cf4cbf4b-fbzch pod terminated due to out of memory

• Org: • Env: prod • Service: A container in prod was forcibly terminated • indicates either a memory leak or insufficient memory limit • engage on-call SRE ...

shared Keywords: sre, httpsRoot cause (data) aligns with L2 focus

Study Incident →

01KJ14BPC7XZ04DNJG2H6QQXG8

2/21/2026 | n/a

medium

Container in backend-stores-deployment-blue pod was terminated due to out of memory

• Org: • Env: prod • Service: A container in prod was forcibly terminated • indicates either a memory leak or insufficient memory limit • engage on-call SRE ...

shared Keywords: sre, httpsRoot cause (data) aligns with L2 focus

Study Incident →

Module Content

Not Started

Key Takeaways

  • Market/head-office cloud layer
  • Order production continuity in kitchen workflows
  • Delivery dispatch and status consistency
  • Store-level degradation vs fleet-level systemic failures
  • Store edge instability causing local order handling issues

Overview

Source page: https://yumbrands.atlassian.net/wiki/spaces/reo/pages/4155080716/Byte+Kitchen+Fleet

Scope

Kitchen and Fleet supports kitchen display and delivery operations across store edge and cloud layers.

Architecture layers for response

  1. Store edge runtime
  2. Market/head-office cloud layer
  3. Global shared services

Incident priorities

  • Order production continuity in kitchen workflows
  • Delivery dispatch and status consistency
  • Store-level degradation vs fleet-level systemic failures

Common failure patterns

  • Store edge instability causing local order handling issues
  • Cross-layer sync lag producing stale kitchen/fleet state
  • Global service dependency outages affecting many markets

First-response checks

  • Store cohort and regional spread
  • KDS and dispatch latency/error patterns
  • Upstream order ingress and downstream status propagation
  • Infra health in edge and cloud layers

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