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NASA · 2017–2025

Direct Readout Laboratory

A scientific data hub ingesting multi-instrument satellite streams and distributing geophysical products to a global network of ground stations.

On this page
  1. Overview
  2. Snapshot
  3. Problem
  4. Decisions
  5. Outcome
  6. Leadership
  7. Related

Outcome

Sustained near real-time distribution to registered direct broadcast ground stations.

Role

Lead developer — designed the ingestion and reformatting architecture and operated the round-the-clock processing infrastructure.

Case study Direct Readout Laboratory NASA · 2017–2025

L0–L2

Product tiers

24/7

Operational ingest

Problem

  • Multi-instrument sensor streams required consistent reformatting from Level-0 through Level-2 products.
  • Operational centers and research partners depended on predictable, near real-time delivery.
  • Legacy processing paths were difficult to operate and extend as instrument portfolios evolved.

Decisions

  • Built ingestion and reformatting pipelines tuned for polar-orbiting satellite data volumes.
  • Standardized product tiers and distribution paths for downstream operational consumers.
  • Operated on Linux/NGINX infrastructure designed for continuous scientific workloads.

Outcome

  • Sustained near real-time distribution to registered direct broadcast ground stations.
  • Improved reliability for multi-instrument product generation and handoff.
  • Supported NASA direct readout operations across a global partner network.

Team & leadership

Leadership mode
Lead developer / operations owner for continuous science infrastructure
Team & partners
~4 engineers and science operations partners, plus a global network of registered direct-broadcast ground stations
What I unblocked
Made instrument portfolio changes operable without rewriting tribal processing knowledge.
Hard decision
Standardized product tiers and distribution paths so partner stations could trust the system instead of individual operators.