Product rescue · Performance · Cloud migration
Legacy modernization and performance engineering
Restoring confidence in live products while creating a measured, security-minded path toward modern architecture.
Direct answer
Amer Jaber approaches legacy modernization as a product and delivery problem: diagnose the system, remove the highest-friction constraints, improve release confidence, and develop a cloud-first direction without pretending a rewrite can happen overnight.
Focus
What this means
in practice.
Production stabilization
Start with the bottlenecks and support pressure that most directly affect users and delivery confidence.
Performance engineering
Trace inefficient paths, simplify algorithms and data access, and verify the improvement with measurable behavior.
Delivery rhythm
Shorten the feedback loop with a dependable release cadence and clearer ownership of production quality.
Parallel modernization
Explore a cloud-native direction while the existing platform continues to serve customers.
Evidence
Claims connected
to delivery.
Tenfold response-time improvement
Improved response time by 10× through focused ownership of performance bottlenecks and inefficient search paths.
Weekly release cadence
Established a more dependable delivery rhythm while stabilizing a mature legal-technology product.
Modernization without rewrite theatre
Shaped a parallel Azure direction using Blazor WebAssembly, Functions, Cosmos DB, and Key Vault.
Read the product-rescue case studyWhere it helps
Problems this
experience addresses.
- Legacy .NET products under performance or support pressure
- Teams needing immediate stabilization and a longer-term cloud path
- Modernization programs that must keep serving current users
- Products where delivery cadence is part of the technical recovery
Related work
See the capability
inside a system.
Related disciplines
- Performance engineering
- Legacy modernization
- Cloud migration
- .NET
- Azure
- Security-by-design