Skip to main content
Lornets

Evidence note

From Monolithic Systems to Microservices: An Assessment Framework

Peer-Reviewed Research2021Information and Software Technology

What was examined?

Research combining a systematic mapping study with interviews to develop a decision-support framework for organisations considering monolith-to-microservice migration.

Key findings

  1. 01Significant re-architecture should be informed by evidence about the actual system rather than architectural fashion or intuition.
  2. 02The research identifies system characteristics and information that organisations should assess before deciding whether microservice migration is justified.
  3. 03Architecture transition is a decision problem before it is an implementation problem.

Why it matters. Lornets interpretation.

The first Platform Transition question should be whether a material constraint has been demonstrated, not which target architecture appears more modern.

This is the Lornets reading of the source, not a finding of the source itself.

What it does not establish

  1. 01The study focuses on monolith-to-microservice decisions.
  2. 02It does not validate Lornets' exact Stay, Harden, Hybrid or Migrate model.
  3. 03Architecture evidence remains highly context dependent.

Source

Venue
Information and Software Technology
Evidence type
Peer-Reviewed Research
Published
2021
Status
Current

Read the original research

Relevant Lornets framework areas

Framework domains

  • Architecture & Maintainability
  • Performance & Scalability
  • Delivery & Change Control

Related evidence

Technical Standard

2023

ISO/IEC 25010:2023

ISO / IEC

The 2023 edition defines a product-quality model using nine quality characteristics.

  • Software Quality & Maintainability

Read Evidence Note

Practitioner Reference

2026

Software Due Diligence

Deloitte

Technical diligence can examine product capability, architecture, technology stack, technical debt, R&D organisation, open-source use, hosting, cloud, cybersecurity and scalability.

  • Fundraise & Technical Diligence
  • Architecture & Platform Transition
  • Software Quality & Maintainability

Read Evidence Note

Source record

Published
2021
Last verified
2026-08-11
Source status
Current
Back to Research & EvidenceRead the Production Assurance Methodology