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DP-E · Blueprint

Production AI Systems Blueprint

End-to-end architectural reference for building production ML/AI systems. Covers: 10 architecture patterns, data pipeline design (batch, streaming, Lambda), model training at scale, 7 serving patterns, and 20 production checklists (data quality, model serving, monitoring, incident response).

10 arch patterns MLOps Data pipelines 20 checklists Monitoring
$129
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Systemdr, Inc.
Systemdr, Inc.
aieworks.systemdrd.com · Newsletter

Why this resource delivers outsized value

From notebook to production — patterns teams actually run.

What you get

  • 10 architecture patterns with tradeoffs and real examples
  • 7 serving patterns: batch, online, streaming, edge
  • Data pipeline architectures: batch, streaming, feature stores
  • 20 production checklists for launch and on-call

Who it's for

  • MLEs shipping first production model
  • Staff engineers designing platform choices
  • Teams standardizing AI architecture reviews

Production AI reference architecture

[ Data sources ] -> [ Feature store ] -> [ Training ]
                         |
                         v
[ Monitoring ] <- [ Serving ] <- [ Registry ]

Deliverable

Premium PDF: DP-E-Production-AI-Systems-Blueprint.pdf — professionally formatted, print-ready, with Systemdr, Inc. branding throughout.

More free guides and build logs:

Subscribe on Substack → Visit aieworks.systemdrd.com →

From notebook to production — patterns teams actually run.

What you get

  • 10 architecture patterns with tradeoffs and real examples
  • 7 serving patterns: batch, online, streaming, edge
  • Data pipeline architectures: batch, streaming, feature stores
  • 20 production checklists for launch and on-call

    • Production AI reference architecture

    [ Data sources ] -> [ Feature store ] -> [ Training ]
                         |
                         v
[ Monitoring ] <- [ Serving ] <- [ Registry ]

    Published by Systemdr, Inc. · aieworks.systemdrd.com · Newsletter