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Arixent

Product Engineering

Modernization & Managed Engineering

An aging codebase can slow every release, but stopping the business for a rewrite is rarely an option. We map dependencies and replace components in controlled increments, with data transition checks and a team that keeps the product running.

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Overview

Legacy systems are usually legacy because they worked: they made money, ran the business and outlived the people who built them. Modernizing them is a matter of respect and risk management. We re-platform, re-architect and rewrite incrementally, so the business never stops and every step delivers something usable.

Our modernization work is grounded in a clear-eyed assessment of what to keep, what to replace and in which order, with the data migration, integration and testing that make the difference between a clean cutover and a very long weekend.

This page also covers the managed engineering and support that keeps a modernized product running after launch.

This service is part of Product Engineering, our broader practice for this work.

Offering 1

Product and legacy modernization

Legacy systems are usually legacy because they worked. We re-platform, re-architect and rewrite incrementally, so the business never stops.

Modernization assessment

Codebase, architecture, data and dependency review with a prioritized, risk-rated plan.

Re-platforming

Moving applications to cloud infrastructure and managed services with minimal code change.

Re-architecture

Decomposing monoliths, introducing APIs and services, modernizing data access.

Incremental rewrite

Strangler patterns that replace functionality piece by piece behind stable interfaces.

Typical use

  • Products on unsupported frameworks or languages that are hard to hire for
  • Monoliths that make every release risky and slow
  • On-premises applications moving to cloud

Offering 2

Managed engineering and support

Products in production need steady hands: features that keep coming, bugs fixed quickly, dependencies kept current and incidents handled with clear service levels.

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Ongoing feature development

A steady cadence of enhancements prioritized with your product owner.

Maintenance and upgrades

Dependency updates, platform upgrades, security patches and technical debt reduction.

Production support

Incident response, root-cause analysis and communication with agreed service levels.

Monitoring and reliability

Observability, alerting and SLOs that catch issues before users report them.

Typical use

  • Products whose original team has moved on or been reassigned
  • SaaS companies that want engineering capacity without growing headcount
  • Enterprises with business-critical custom applications and no in-house team

Want this for your product? Talk to an engineer who has built it.

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How we work

How we deliver

  1. 01

    Assess

    Understand the system, its users, its data and its risks; agree what modern means for you.

  2. 02

    Plan

    Sequenced roadmap with quick wins, dependencies and a testing strategy.

  3. 03

    Modernize

    Incremental delivery with automated tests, parallel running and continuous deployment.

  4. 04

    Cut over and retire

    Rehearsed cutovers, decommissioning and knowledge transfer.

Stack

Tools we work with

We are neutral on tooling and pick what fits your environment, your team and the cost you can sustain.

  • Java, .NET, Python, Node.js, TypeScript
  • React and Angular front ends
  • Spring Boot, ASP.NET Core
  • PostgreSQL, SQL Server, Oracle
  • Kafka
  • Docker and Kubernetes
  • AWS, Azure, GCP migration tooling
  • automated testing frameworks
  • Datadog, Grafana, Sentry
  • Jira, ServiceNow

Bring the problem. We bring the team.

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Industries

Where we apply this most

Relevant domain requirements include Banking, Financial Services & Insurance and Telecom & Media.

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Banking, Financial Services & InsuranceDocument intelligence, risk models, fraud detection and modern digital banking experiences.Explore
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Telecom & MediaNetwork analytics, churn prediction, content recommendation and OSS/BSS modernization.Explore
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Manufacturing & IndustrialPredictive maintenance, quality inspection, digital twins and plant analytics.Explore
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Energy & UtilitiesAsset analytics, load forecasting, field operations and customer platforms.Explore

FAQ

Questions we hear often

Almost never a big-bang rewrite. We favor incremental modernization that keeps the system running and delivers value along the way. Where a rewrite is right, we do it component by component.

Yes. The roadmap interleaves modernization with feature work, and the architecture changes are designed to reduce, not add, release risk.

Data migration is planned from the start with reconciliation at every step, because it is where modernization projects most often go wrong.

Yes. Onboarding includes a codebase and infrastructure review, stabilization of the riskiest issues and documentation before we move to a steady cadence.

Related services

You may also need

Cloud, DevOps & Quality Engineering: Cloud architecture, CI/CD, reliability and test automation that let teams release with confidence.

Custom Software, SaaS & Mobile: Web platforms, multi-tenant SaaS and mobile apps built to your requirements.

Data Engineering & Platform Modernization: Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.

Cloud, DevOps & Quality Engineering

Cloud architecture, CI/CD, reliability and test automation that let teams release with confidence.

Learn more

Custom Software, SaaS & Mobile

Web platforms, multi-tenant SaaS and mobile apps built to your requirements.

Learn more

Data Engineering & Platform Modernization

Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.

Learn more

Next step

Ready when you are.

Tell us what you are trying to build and we will come back with a point of view, not a pitch.

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