Hybrid Data Architecture Health Framework

As hybrid and multi-cloud ecosystems evolve, even well-designed data architectures can drift.

Pipelines overlap, costs spike, and governance starts to lag behind growth.

The Datalere Hybrid Architecture Health Framework helps data leaders take a step back — to see how their architecture really performs across five core principles that define modern data success:

Store Once, Serve Many – Create a single source of truth across platforms.
Separate by Workload – Balance agility with performance and cost control.
Govern Consistently – Build trust with unified policy and metadata management.
Control Cost Through Isolation – Track, tag, and optimize resource usage.
Design for Observability – Detect, measure, and resolve issues before they impact users.

What’s Inside

A simple, interactive Excel workbook designed for quick self-assessment.

15 practical checkpoints — each with clear 1–5 maturity levels.
Automatic scoring and color-coded insights to show where you stand.
Weighted prioritization to focus on what matters most.
Built-in guide explaining how to interpret your results.

It’s the same framework our consultants use to benchmark hybrid architectures — now available for you to apply internally or with your teams.

Who It’s For

This framework is ideal for:

Data and Analytics Leaders mapping modernization roadmaps
Data Architects evaluating hybrid environments
Engineering Managers planning optimization initiatives
Consulting Teams running client assessments or workshops

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