Stefan Priebsch
Seven Myths, Three Reasons, One Goal
#1about 9 minutes
Viewing your IT landscape as an evolving city
The history of Alexandria illustrates how software systems, like cities, are built on existing foundations and evolve over time.
#2about 5 minutes
Why legacy code is so difficult to understand
Legacy code often fails to communicate business intent and lacks automated tests, leading to a system nobody fully comprehends.
#3about 3 minutes
How successful software outgrows its original purpose
Legacy software often becomes a victim of its own success, as its original design cannot support exponential growth or business pivots.
#4about 3 minutes
The critical problem of ownership and technical debt
A lack of clear ownership and the anti-pattern of putting technical debt in the product backlog prevents legacy systems from aligning with corporate strategy.
#5about 3 minutes
Questioning the default need for a REST API
A REST API is not a universal solution and can lead to awkward command implementations or a distributed monolith.
#6about 3 minutes
The myth that a new technology is always better
Rewriting software in a new technology often just replaces known problems with unknown ones without providing immediate business value.
#7about 4 minutes
Why you don't need to rewrite everything at once
Instead of a full rewrite, you can add new software for specific use cases and use routing to gradually replace the legacy system.
#8about 3 minutes
Moving beyond the default relational database
Embrace polyglot persistence by choosing the right data store for each use case and defining a single canonical source of truth.
#9about 4 minutes
The misconception that software migration is expensive
Migration costs are often inflated by unnecessary cleanup; focus first on making the existing code work in the new environment.
#10about 6 minutes
Why heavy abstraction is not needed in microservices
Small, self-contained systems can be rewritten easily, making extensive abstraction layers an unnecessary source of complexity.
#11about 2 minutes
How to introduce new patterns like event sourcing
New architectural patterns can be introduced incrementally for new features, building bridges to the legacy system without a full rewrite.
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Matching moments
03:05 MIN
The pervasive challenge of working with legacy software
Grappling With Clunky Old Software? Start by Understanding What’s Inside!
04:24 MIN
The challenge of justifying legacy system improvements
Data Science on Software Data
05:07 MIN
How good intentions lead to broken legacy projects
Defeat that legacy monster! Guerilla refactoring with web standards
03:27 MIN
Why developers struggle to prioritize maintenance work
Coffee with Developers - Robby Russell
04:26 MIN
Transforming legacy systems like renovating old buildings
Domain-Driven Transformation—How to Bring (Back) Sustainable Architecture to Legacy and Monoliths
01:51 MIN
Understanding the nature of legacy project monsters
Defeat that legacy monster! Guerilla refactoring with web standards
08:14 MIN
Lessons from legacy systems and risky projects
IoT: The road to sustainability
02:29 MIN
Three core challenges in modern software development
Kalo: From Code Chaos to One-Click Polyglot Codegen
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