MICROSOFT PRACTICE  ·  Application modernisation

Legacy applications,
without the rewrite.

Application and architecture assessments, legacy modernisation, migration to Azure, re-platforming and re-architecting, containers and Kubernetes, App Service and serverless, API modernisation, and the DevOps practice to keep shipping afterwards.

01 THE PROBLEM

What usually brings people here.

An application nobody wants to touch

Business-critical, poorly documented, running on an operating system approaching end of support. Every change is a risk, so changes stop happening.

A rewrite that never finishes

Eighteen months in, the replacement covers a fraction of what the original does, and both systems now need maintaining.

Releases that need a weekend

Manual deployment steps, environment drift, and a rollback plan that consists of a database backup and hope. Release frequency drops until it becomes quarterly.

02 WHAT WE DELIVER

Scope of the engagement.

Assessment and planning

  • Application portfolio and dependency assessment
  • Architecture review and technical debt mapping
  • Modernisation path selection per application
  • Sequencing plan and business case

Migration and re-platforming

  • Application migration to Azure
  • Re-platforming onto managed platform services
  • Re-architecting where the return justifies it
  • Database migration and modernisation

Cloud-native delivery

  • Containerisation and Azure Kubernetes Service
  • Azure App Service, Functions and serverless
  • Event-driven and messaging architecture
  • Cloud-native application development

Integration and DevOps

  • API design, gateway and integration modernisation
  • CI/CD pipeline implementation
  • Infrastructure as code and environment parity
  • Automated testing, monitoring and release automation
03 HOW WE ENGAGE

From first conversation to steady state.

01

Assess

Current-state discovery and documentation. Findings before design.

02

Design

Target-state architecture, signed off by your team and ours.

03

Deliver

Phased implementation with tested cutovers and inherited runbooks.

04

Optimise

Review once live — cost, performance, policy and licence fit.

05

Operate

Managed service, or a clean documented handover. Decided upfront.

04 OUTCOMES

What changes when this is done properly.

Described as outcomes rather than numbers. We publish measured figures only where a customer has approved the reference and the measurement method can be stated.

01

Each application has a decided path. Retire, rehost, re-platform, re-architect or leave alone — assessed against business value and effort rather than treated as one undifferentiated programme.

02

Deployment stops being an event. Automated pipelines, consistent environments and a rehearsed rollback, so releasing becomes routine instead of scheduled around a weekend.

03

The platform carries more of the load. Managed services and containers replace hand-maintained servers, which reduces the surface your team has to patch, monitor and worry about.

04

Change becomes possible again. Documentation, tests and observability that make the next change a task rather than a negotiation.

05 CREDENTIALS

Certifications relevant to this work.

Microsoft Certified: Azure DevOps Engineer Expert×2GitHub Actions×2Microsoft Certified: Azure AI Cloud Developer Associate×2GitHub Certified: Agentic AI Developer×2Microsoft Certified: Azure Cosmos DB Developer Specialty

Certifications held across the Trinova engineering team. A multiplier indicates the certification is held by more than one team member. Individual credentials are verifiable through Microsoft Learn on request.

Trinova Cloud is enrolled in the Microsoft AI Cloud Partner Program. We hold no Solutions Partner designation at this time and make no designation claim anywhere on this site.

Ready when you are.

Every engagement starts with a scoped, documented assessment.