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APPLICATION SUPPORT & MODERNIZATION
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Application Support & Modernization

We provide dedicated engineering support teams and execute legacy application modernization, from 24/7 incident response to cloud-native re-architecture.

Service Overview

Typical: Ongoing + 12 to 24 Week Modernization

Legacy applications accumulate technical debt that slows feature velocity and increases operational risk. Our Application Support and Modernization service combines ongoing production support with a step-by-step modernization plan, maintaining uptime while replacing aging services with cloud-native components.

Tangible Deliverables You Receive

  • Application health audit report detailing technical debt and risks
  • Phased modernization roadmap with business continuity safeguards
  • Monthly support report detailing uptime, resolved incidents, and SLAs
  • Modernized microservices with automated test coverage
  • Cloud infrastructure automation with Infrastructure-as-Code templates

Technologies & Supported Stacks

Node.js / Python / Go (modernization targets)React / Next.js (frontend modernization)PostgreSQL / Redis / MongoDBDocker / Kubernetes / HelmAWS / GCP (cloud migration targets)Terraform / AWS CDK (IaC)Datadog / Prometheus / Grafana (observability)GitHub Actions / GitLab CI (CI/CD)

How We Deliver

Step 01
Legacy Audit & Modernization Assessment

We analyze the existing application architecture, code quality, data models, dependencies, and infrastructure to produce a comprehensive modernization report.

Step 02
Modernization Roadmap Design

We design a phased migration plan using the strangler fig pattern, prioritizing high-risk components and quick-win modules.

Step 03
Parallel Support & Incremental Modernization

Our support team maintains production stability while modernization engineers incrementally replace legacy components.

Step 04
Cutover, Validation & Handover

We execute zero-downtime cutovers, validate each modernized component in production, and transfer ownership to your team with full documentation.

Business Impact
  • Uninterrupted business continuity during phased system updates
  • Restored developer velocity as legacy bottlenecks are systematically resolved
  • Optimized cloud infrastructure reducing hosting and operational costs
  • Modern technical foundation supporting long-term feature expansion
Common Scenarios
  • Monolithic codebases slowing sprint delivery and deployment frequency
  • On-premise servers needing migration to scalable cloud infrastructure
  • Legacy frameworks requiring modernization to improve maintainability
  • Production systems requiring structured on-call monitoring and incident SLAs
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