Oneiros Modernization

Transform Legacy into Competitive Edge.

Systematic modernization of ageing applications, infrastructure, and data platforms — migrating you from technical debt to cloud-native, AI-ready systems without business disruption.

Oneiros modernization goes beyond lift-and-shift. We re-platform, re-architect, and re-engineer your estate using proven patterns, AI-assisted migration tooling, and bounded-risk delivery sprints.

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Why Modernize Now

Legacy Systems Are Not Just Old. They're Holding You Back.

Technical debt is the silent tax on every initiative. Oneiros modernization eliminates that tax — systematically, safely, and with measurable ROI from the first sprint.

70%
Average reduction in infrastructure cost post-migration
10×
Faster release cycles after monolith decomposition
50+
Legacy systems modernized to cloud-native
Zero
Unplanned downtime during active migrations

Technical Debt Is Compounding

Every month you wait, your legacy estate becomes harder and more expensive to maintain. Outdated frameworks lose security support, talent availability shrinks, and integration costs multiply — turning a manageable migration into an emergency rescue.

AI Requires Modern Foundations

You can't bolt AI onto COBOL or a monolithic ERP. Modern AI capabilities — agentic workflows, real-time analytics, LLM integrations — need cloud-native, event-driven, API-first architectures to function at production scale.

Competitors Are Already Moving

The market isn't waiting. Organisations that modernize first capture the speed, efficiency, and AI-readiness advantages that define the next competitive cycle. Legacy companies are being disrupted by agile newcomers.

Compliance Is Tightening

Regulatory requirements (GDPR, DORA, NIS2, SOC2) demand auditable, patchable, and observable systems. Legacy platforms with end-of-life dependencies create compliance risk that grows every quarter.

Modernization Pillars

Six Modernization Tracks. One Transformation.

Each modernization pillar addresses a specific dimension of legacy transformation — from infrastructure and architecture to data, developer experience, and AI-assisted code migration.

Cloud Migration

Cloud Migration & Re-Platforming

From on-premise infrastructure to elastic, cost-optimised cloud

Migrate workloads to AWS, Azure, or GCP with zero-downtime strategies. Whether it's lift-and-shift, re-platforming to managed services, or full cloud-native re-architecture — we choose the right migration pattern for each workload based on complexity, risk, and business value.

  • Multi-cloud strategy (AWS / Azure / GCP)
  • Zero-downtime migration patterns
  • Managed service adoption (RDS, Cloud Run, EKS)
  • Cost modelling & FinOps setup
Explore TrackModernization Track
Architecture

Monolith-to-Microservices Decomposition

Break apart monoliths into independently deployable services

Systematic strangler-fig decomposition of monolithic applications into domain-driven microservices. Event-driven messaging, API gateways, service mesh, and distributed tracing — all designed to ship independently and scale horizontally.

  • Domain-driven service boundaries
  • Strangler-fig migration pattern
  • Event sourcing & CQRS
  • Service mesh (Istio / Linkerd)
Explore TrackModernization Track
Data & Analytics

Data Platform Modernization

Legacy databases to cloud-native, AI-ready data infrastructure

Migrate from legacy RDBMS, data warehouses, and ETL pipelines to modern lakehouse architectures, streaming pipelines, and real-time analytics platforms. Snowflake, Databricks, BigQuery, and purpose-built stores — selected for your workload, not vendor loyalty.

  • Lakehouse architecture (Delta Lake / Iceberg)
  • Real-time streaming (Kafka / Flink / Pub/Sub)
  • Legacy ETL to modern ELT pipelines
  • Data mesh & domain data products
Explore TrackModernization Track
DevOps & Platform

Platform Engineering & Developer Experience

Internal developer platforms that multiply team velocity

Build golden-path developer platforms with self-service infrastructure, automated environments, CI/CD pipelines, and production-grade Kubernetes clusters. Reduce developer cognitive load and eliminate the 'works on my machine' problem forever.

  • Internal developer portals (Backstage / custom)
  • GitOps & Infrastructure-as-Code (Terraform / Pulumi)
  • Kubernetes fleet management
  • Self-service environment provisioning
Explore TrackModernization Track
AI-Assisted

AI-Powered Code Transformation

LLMs accelerating legacy code analysis and migration at scale

Use AI to analyse legacy codebases (COBOL, VB6, classic ASP, jQuery), generate migration plans, auto-translate code patterns, and validate conversions — reducing migration timelines by 40–60% compared to manual approaches.

  • AI legacy code analysis & dependency mapping
  • Automated COBOL / VB6 / Classic ASP translation
  • Test generation for migrated code
  • Continuous validation with AI diff analysis
Explore TrackModernization Track
Integration

API-First & Composable Architecture

Expose everything as an API, compose at will, integrate anything

Transform tightly-coupled systems into composable, API-first architectures. Design RESTful and GraphQL APIs, implement API gateways, enforce rate limiting and authentication, and build the integration layer that connects your modernized estate.

  • REST / GraphQL API design & governance
  • API gateway & management (Kong / Apigee)
  • Event-driven integration (webhooks, messaging)
  • Legacy wrapper APIs for phased migration
Explore TrackModernization Track
Migration Patterns

Proven Patterns. Not One-Size-Fits-All.

Every legacy estate is different. We select and combine the right migration pattern for each workload — balancing speed, risk, cost, and long-term architecture quality.

Strangler Fig

Incrementally replace components of a legacy system by routing traffic to new services, module by module, until the old system is fully retired — zero big-bang risk.

Best When
Complex monoliths with identifiable domain boundaries

Lift & Reshape

Migrate workloads to cloud infrastructure with targeted improvements — containerisation, managed database adoption, CI/CD enablement — without a full rewrite.

Best When
Stable apps needing cloud benefits without full re-architecture

Rewrite with AI Assist

Use LLM-powered code analysis and translation to accelerate rewrites of legacy codebases (COBOL, VB6, classic ASP) to modern frameworks (React, .NET 8, Spring Boot).

Best When
End-of-life languages with no available talent

API Wrapping

Expose legacy system functionality through modern REST/GraphQL APIs without modifying the original system — unlocking integration while buying time for deeper modernization.

Best When
Systems that must stay operational during phased migration

Event-Driven Decoupling

Introduce an event bus (Kafka, EventBridge) between tightly-coupled systems, enabling async communication and independent evolution of each component.

Best When
Synchronous point-to-point integrations causing cascading failures

Database-First Migration

Modernize the data layer first — migrating from legacy RDBMS to cloud-native databases, then rewiring applications to the new data infrastructure incrementally.

Best When
Database is the bottleneck and data model must evolve
Delivery Process

From Assessment to Production in Five Phases.

A structured, risk-managed process that transforms your legacy estate without disrupting live business operations.

01

Legacy Estate Assessment

Deep technical audit of your current systems: architecture mapping, dependency analysis, technology health scoring, and risk classification. AI-assisted code scanning identifies migration complexity at the file and module level.

Assessment Report & Migration Roadmap
02

Target Architecture Design

Design the target-state architecture: cloud topology, service boundaries, data strategy, integration patterns, and security framework. Every decision is documented with rationale and trade-off analysis.

Target Architecture Blueprint
03

Migration Sprint Execution

Bounded 2-week migration sprints. Each sprint migrates a defined set of workloads, runs automated testing, validates data integrity, and delivers working software in the target environment.

Migrated & Validated Workloads
04

Parallel-Run Validation

Run old and new systems in parallel with traffic mirroring. Compare outputs, validate data consistency, benchmark performance, and build confidence before cutover — eliminating migration risk.

Validation Report & Go/No-Go Decision
05

Cutover & Decommission

Traffic switchover with automated rollback capabilities. Decommission legacy systems, update DNS, retire old infrastructure, and activate monitoring. Post-migration hypercare ensures stability.

Live System + Decommission Plan
Technology Stack

Modern Tools. Battle-Tested at Scale.

We work with best-of-breed cloud platforms, container orchestration, infrastructure-as-code, and observability tooling — selecting the right stack for your organisation, not our preferences.

Cloud Platforms
  • AWS
    EC2, ECS, Lambda, RDS, S3
  • Microsoft Azure
    AKS, App Service, Cosmos DB
  • Google Cloud
    Cloud Run, GKE, BigQuery
Containers & Orchestration
  • Docker
    Multi-stage builds, distroless images
  • Kubernetes
    EKS, AKS, GKE, self-managed
  • Helm / Kustomize
    Chart management & templating
IaC & GitOps
  • Terraform
    Multi-cloud provisioning
  • Pulumi
    TypeScript-native infrastructure
  • ArgoCD / FluxCD
    GitOps continuous delivery
Observability & SRE
  • Datadog / Grafana
    Metrics, logs, and traces
  • OpenTelemetry
    Vendor-neutral instrumentation
  • PagerDuty / OpsGenie
    Incident management

Common Migration Paths

COBOL / Mainframe
Java / .NET / Cloud-native
VB6 / Classic ASP
React / Next.js / Blazor
On-prem SQL Server
Azure SQL / Aurora / AlloyDB
Monolithic Java EE
Spring Boot Microservices
Windows Services
Containerised Kubernetes
FTP / Batch Jobs
Event-driven Streaming
Why Oneiros

What Sets Oneiros Apart. Measurably.

We combine AI-accelerated migration tooling, cloud-native engineering depth, and structured risk management in a way no traditional consultancy can match.

AI-Accelerated Migration

We don't just use tools — we build them. Our AI-assisted code analysis and translation pipelines reduce migration time by 40–60% on large legacy codebases, with automated test generation for every translated module.

Zero-Downtime Guarantee

Every migration plan includes parallel-run validation, traffic mirroring, automated rollback, and canary deployment strategies. We don't cut over until confidence is 100% — no exceptions, no heroics.

FinOps from Day One

Modernization should save money, not double your cloud bill. We build cost modelling into every migration, implement FinOps guardrails, right-size infrastructure, and set up continuous spend monitoring.

Knowledge Transfer Built In

We don't create dependencies — we eliminate them. Every engagement includes structured knowledge transfer, pair-programming sessions, runbook documentation, and capability uplift plans for your team.

No Vendor Lock-in Architecture

We design multi-cloud portable architectures using open standards (OCI, OpenTelemetry, CloudEvents). Your modernized estate runs on any cloud — switch providers without re-architecture.

Compliance-Ready from Cutover

Modernized systems arrive with GDPR, SOC2, ISO27001, and DORA alignment built into the architecture — audit trails, encryption at rest, secrets management, and vulnerability scanning from day one.

Start Modernizing

Your Legacy Is Not Your Future.

Every day on legacy infrastructure is a day of compounding risk and opportunity cost. Let's build your path to modern, cloud-native, AI-ready systems — starting now.

Start the ConversationExplore Tracks

Legacy Assessment

A structured 1–2 week audit of your legacy estate — architecture mapping, risk scoring, migration complexity analysis, and a prioritised roadmap with cost estimates.

Request an assessment

Migration Sprint

A focused 4–6 week bounded sprint to migrate a defined workload — proving the modernization approach on a real system with measurable before-and-after outcomes.

Plan a migration sprint

Full Transformation Programme

End-to-end modernization of your technology estate — from assessment and architecture through migration, testing, cutover, and ongoing platform management.

Discuss your programme