Technology Stack Upgrade Services

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  • SMARTER TECH. SMARTER MOVES
    Use up-to-date libraries, technologies, and platforms to unlock a new level of a system’s performance, scalability, and efficiency

  • MODERNIZE RISK-FREE
    Enhance your tech gradually to get agile, secure, cloud-ready platforms without business disruptions and costly overhauls

  • FUTURE-PROOF YOUR BUSINESS
    Stay competitive, innovate faster, and scale confidently with a next-gen enterprise technology stack

Why It Matters

A timely technology stack upgrade is more than a leap up — it’s a strategic optimization that unlocks efficiency, innovation, and growth.

  • Avoid end-of-life security risk. EOL components no longer receive security patches, which means known CVEs can remain open and exposed in production.
  • Reduce security exposure by moving away from unsupported runtimes, frameworks, libraries, and operating systems that no longer receive security fixes.
  • Lower maintenance costs by replacing obsolete dependencies, brittle workarounds, and legacy code patterns that require increasing engineering effort to support.
  • Improve application performance with newer runtimes, optimized frameworks, better memory management, improved concurrency, and more efficient infrastructure support.
  • Make hiring easier by moving from outdated technologies to stacks that current engineers are more likely to know and want to work with.
  • Accelerate feature delivery with modern development tooling, libraries, APIs, testing frameworks, and CI/CD practices that reduce development friction.
  • Improve scalability by preparing applications for containers, cloud platforms, distributed architectures, and higher transaction or user volumes.
  • Maintain vendor support by upgrading to supported versions of frameworks, databases, runtimes, and operating systems before end-of-life deadlines create operation.

Modernizing unstable systems? Launching new products?

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What We Offer

End-to-End Tech Stack Upgrade Services We Offer

A tech stack upgrade is the process of moving an application from outdated or unsupported programming languages, frameworks, runtimes, libraries, databases, or operating systems to newer supported versions. An upgrade keeps the core technology direction in place while moving the application to newer, supported versions. It may require dependency updates, code refactoring, compatibility fixes, testing, and infrastructure changes, but it does not necessarily mean replacing the application’s architecture or moving to a completely different framework. It typically includes dependency updates, compatibility fixes, code refactoring, testing, performance validation, and deployment changes to improve security, maintainability, reliability, and long-term support.

  • .NET Framework to .NET 8

    We migrate applications from .NET Framework to .NET 8 by first assessing framework dependencies, System. Web usage, Windows-specific components, third-party libraries, and integration constraints. Depending on the application, we can use an incremental migration path or re-platform selected services first.

    Typical work includes replacing unsupported APIs, moving to ASP.NET Core, updating authentication and configuration patterns, modernizing dependency injection, introducing newer logging and observability tooling, and preparing the application for containers or cloud deployment. We also validate functional parity and performance before cutover to reduce migration risk.

    Read more
  • Java 8 or 11 to Java 17 or 21

    We upgrade Java applications from older LTS versions to Java 17 or 21, including JVM changes, deprecated APIs, framework compatibility, build tooling, and third-party dependencies. The upgrade can also include Spring, Hibernate, Maven, Gradle, and application server updates where required.

    Our engineers run compatibility checks, update libraries, resolve breaking changes, tune JVM settings, and test critical workloads under the target runtime. For large enterprise systems, we can phase the migration by module or service to avoid a high-risk all-at-once release.

  • Python 2 to Python 3

    We migrate Python 2 codebases to Python 3 while preserving critical business logic and removing dependencies that no longer receive security or compatibility updates. The process includes syntax changes, package replacement, Unicode and string handling, exception behavior, and updates to frameworks and libraries.

    We also review test coverage before migration, introduce automated regression checks where gaps exist, and validate integrations, scheduled jobs, and data-processing workflows after the upgrade. This helps prevent subtle runtime issues that simple syntax conversion tools may miss.

  • PHP 7 to PHP 8.x

    We upgrade PHP applications from PHP 7 to supported PHP 8.x releases by addressing deprecated functions, stricter type behavior, removed features, framework compatibility, and outdated extensions. We also review Composer dependencies and server configuration to identify upgrade blockers early.

    Where needed, we modernize Laravel, Symfony, or custom PHP code alongside the runtime upgrade. We benchmark application behavior before and after the migration, resolve compatibility issues, and validate production workloads so the upgrade improves supportability without creating unexpected regressions.

  • AngularJS to Modern Angular

    We migrate AngularJS applications to modern Angular using either a staged hybrid approach or a full migration, depending on the size and coupling of the existing application. The work typically includes component restructuring, routing, TypeScript adoption, state management, dependency updates, and replacement of unsupported libraries.

    For larger systems, we can migrate feature areas incrementally so old and new modules run in parallel during the transition. This reduces disruption and allows teams to validate functionality continuously rather than waiting for a complete rewrite.

    Read more
  • React Class Components to Hooks

    We modernize React applications by replacing class-based components with functional components and hooks where doing so improves maintainability and consistency. This can include migrating lifecycle logic to useEffect, local state to useState or reducers, and shared logic to reusable custom hooks.

    We also review state management, routing, testing libraries, build tooling, and outdated dependencies that often accumulate in older React applications. The goal is not to rewrite stable functionality unnecessarily, but to remove legacy patterns that make the codebase harder to extend and maintain.

  • Node.js to the Current LTS Version

    We upgrade Node.js applications from outdated or unsupported versions to the current LTS release path. This includes reviewing runtime-breaking changes, package compatibility, deprecated APIs, native modules, build tooling, and deployment configuration.

    We update dependencies in controlled stages, test background jobs and API workloads, and validate memory usage, startup behavior, and throughput under the new runtime. For production systems, we can use canary or parallel deployment strategies to reduce risk during cutover.

  • Windows Server, RHEL, and CentOS Modernization

    We modernize workloads running on end-of-support Windows Server, RHEL, CentOS, or other aging operating systems by moving them to supported server versions or modern Linux environments. The assessment covers application compatibility, services, drivers, scheduled tasks, security policies, middleware, and infrastructure dependencies.

    Migration work can include OS upgrades, workload rehosting, containerization, configuration automation, and replacement of unsupported packages. We also validate application behavior, infrastructure performance, and security configuration after migration so the new environment is stable and supportable in production.

Our process

How We Work

Successful tech stack upgrade and technology optimization heavily depend on a proper approach. We’ve honed our workflows and processes to let your systems not only perform today, but grow with you tomorrow. Typical overall timeline: 4–10 weeks for a mid-sized application. Large enterprise platforms or upgrades involving several major version jumps can take 3–6+ months.

01.

01. Assessment & Dependency Audit (3–7 business days)

We map the application’s runtimes, frameworks, libraries, packages, databases, operating systems, build tools, and third-party integrations. We flag end-of-life components, unsupported dependencies, known CVEs, version constraints, and areas with limited test coverage before making any changes.

02.

02. Compatibility & Breaking-Change Analysis

We compare the current stack with the target versions and identify deprecated APIs, removed features, changed configuration models, incompatible packages, and infrastructure requirements. This gives us a clear view of what can be upgraded directly and where code changes or dependency replacements are required.

03.

03. Incremental Upgrade Planning (2–5 business days)

Instead of jumping several major versions at once, we define a staged upgrade path where appropriate—for example, moving through supported intermediate versions before reaching the target release. Each stage has defined validation criteria, dependencies, deployment requirements, and a rollback point.

04.

04. Automated Regression Test Preparation (1-3 weeks)

Before changing production-critical components, we strengthen automated coverage for core workflows, APIs, integrations, and business logic. Regression tests establish expected behavior and help detect compatibility issues as each runtime, framework, or dependency is upgraded.

05.

05. Compatibility & Code Updates (2–6 weeks)

Update runtimes, frameworks, libraries, APIs, configurations, and application code to resolve breaking changes.

06.

06. Parallel Validation & Controlled Release (2–5 business days)

For higher-risk systems, we use feature flags, canary releases, blue-green deployments, or parallel runs to validate the upgraded environment against real workloads while limiting production exposure. Performance, errors, and business-critical workflows are monitored throughout the release.

07.

07. Rollback & Recovery Planning

Every production upgrade includes a documented rollback path. We define when rollback should be triggered, how application and infrastructure versions will be restored, and how database or configuration changes will be handled if the new stack does not meet predefined acceptance criteria.

08.

08. Post-Upgrade Verification (1–2 weeks)

After deployment, we run regression, integration, security, and performance checks and compare the results with the pre-upgrade baseline. We verify application stability, dependency health, resource usage, and critical workflows before considering the upgrade complete. We monitor errors, latency, resource usage, and business-critical workflows, then resolve any post-release issues.

  • 01. Assessment & Dependency Audit (3–7 business days)

  • 02. Compatibility & Breaking-Change Analysis

  • 03. Incremental Upgrade Planning (2–5 business days)

  • 04. Automated Regression Test Preparation (1-3 weeks)

  • 05. Compatibility & Code Updates (2–6 weeks)

  • 06. Parallel Validation & Controlled Release (2–5 business days)

  • 07. Rollback & Recovery Planning

  • 08. Post-Upgrade Verification (1–2 weeks)

Benefits

Value We Provide

01

Quality Excellence

To deliver exceptional service quality as a stack optimization strategic priority, we implemented an internal system of quality centers. Project Management Office (PMO), Business Analysis Office (BAO), Quality Management Office (QMO) ensure high-end solutions on various levels to give clients more control over the project’s time and budget.

02

Faster to Market

To make your technology stack upgrade more efficient and budget-friendly, we’ve developed an AI solution accelerator™ that streamlines development. Thanks to automated testing, deployment, CI/CD pipelines, and pre-configured infrastructure modules (IaC), we deliver high-quality results faster, up to 30% as compared to average market timelines.

03

Proven Industry Expertise

Hands-on experience with stack optimization in Fintech, Logistics, and Manufacturing industries allows us to align solutions to sector-specific standards and requirements. Thus, clients pay for robust practical solutions, with no guesswork.

04

Full Lifecycle Support

Need extra support until the project gets off the ground? Our support extends beyond planning and post-upgrade the target technology maintenance. We continue to monitor and improve your systems even after deployment to ensure long-term stability and scalability in real-life conditions.

Case Studies

Our Latest Works

View All Case Studies
Enabling Zero-Downtime Modernization for a Customer-Facing Application Enabling Zero-Downtime Modernization for a Customer-Facing Application

Enabling Zero-Downtime Modernization for a Customer-Facing Application

An AI-accelerated modernization of a high-traffic e-commerce platform, enabling zero-downtime migration to Azure microservices.

Additional Info

Core Tech:
  • .NET Framework
  • .NET 8
  • C#
  • SQL Server
  • Azure Kubernetes Service
  • Azure App Services
  • microservices
  • AI dependency mapping
  • Terraform
  • GitHub Actions
Country:

USA USA

Building an AI-Assisted Anomaly Investigation System on a 15-Year-Old .NET Platform

Building an AI-Assisted Anomaly Investigation System on a 15-Year-Old .NET Platform

A governed API layer gave AI controlled access to trusted anomaly data and historical context while preserving existing business rules and cutting investigation prep from hours to minutes.

Additional Info

Core Tech:
  • C#
  • .NET Framework
  • ASP.NET Web API
  • REST API
  • Microsoft SQL Server
  • Entity Framework / ADO.NET
  • Azure OpenAI
  • Python, NUnit / xUnit
How the U.S. Wealth Management Firm Built Secure RAG for Sensitive Client Data

How the U.S. Wealth Management Firm Built Secure RAG for Sensitive Client Data

Devox Software helped a U.S. wealth management firm build a secure RAG system for working with sensitive financial data while preserving access controls and source traceability.

Additional Info

Core Tech:
  • Python
  • FastAPI
  • Azure OpenAI
  • LangChain
  • PostgreSQL
  • Microsoft Entra ID
  • OAuth 2.0 / OIDC
  • Docker
Country:

USA USA

Testimonials

Testimonials

Carl-Fredrik Linné                                            Sweden

The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Darrin Lipscomb Darrin Lipscomb
Darrin Lipscomb United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Daniel Bertuccio Daniel Bertuccio
Daniel Bertuccio Australia

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Trent Allan Trent Allan
Trent Allan Australia

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Andy Morrey                                            United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Vadim Ivanenko Vadim Ivanenko
Vadim Ivanenko Switzerland

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Jason Leffakis Jason Leffakis
Jason Leffakis United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

John Boman John Boman
John Boman Sweden

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

Tamas Pataky Tamas Pataky
Tamas Pataky Canada

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Stan Sadokov Stan Sadokov
Stan Sadokov Estonia

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Mark Lamb Mark Lamb
Mark Lamb United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

FAQ

Frequently Asked Questions

  • What is the difference between a tech stack upgrade and a technology migration?

    A tech stack upgrade moves your existing technologies to newer supported versions while preserving the application’s core technical direction. A migration involves replacing one technology, platform, or architecture with another and usually requires broader changes to application structure, integrations, deployment, and testing.

    For example, moving from Java 11 to Java 21 is an upgrade. Replacing a legacy monolith with a new service-based architecture or moving from one frontend framework to another is a migration. Learn more about our legacy modernization services.

  • What are the business drivers for upgrading our tech stack?

    Technology stack upgrade grounds on three main values, which are to achieve effectiveness, acceleration, and transformation of software. In simpler words, businesses seek to gain agility, reduce operational costs and tech debt, improve security, and unlock faster innovation cycles.

  • What is the total cost of ownership (TCO) for the target version?

    As the Total Cost of Ownership (TCO) includes initial costs for building software and buying hardware, ongoing costs for support, and hidden operating costs, including staff training expenditure, etc., stack optimization must reduce infrastructure and maintenance costs in the long run while offering new ways to increase revenue.

  • What are the signs that our technology stack needs an upgrade?

    The clearest sign is that a framework, runtime, or operating system you depend on has reached end of life (EOL) and no longer gets security patches. Other signs:

    • Open vulnerability (CVE) findings in audits or scans
    • Libraries you can’t update without breaking something
    • Slower builds and releases
    • Difficulty hiring developers for the stack
    • New integrations or cloud services that don’t support your current versions
  • What are the risks of a tech stack upgrade, and how do you manage them?

    The main risks are: breaking API changes between versions, deprecated or abandoned third-party libraries, subtle changes in how the software behaves, regressions in functionality nobody has tested. We manage them in five steps:

    1. List every dependency.
    2. Check each one for breaking changes before writing any code.
    3. Upgrade in small, testable steps.
    4. Check each step with automated regression tests.
    5. Release with a rollback plan and, where possible, a parallel run or feature flags.
  • How long does a technology stack upgrade take?

    It depends on the size of the codebase, how far behind the versions are, and test coverage. As a guide, upgrading a single framework or runtime in one application usually takes 4–12 weeks. Multi-application or multi-layer upgrades (runtime, framework, database, and OS together) take 3–9 months, delivered in phases. A short assessment at the start gives you a firm timeline before the upgrade begins.

  • Should we upgrade our current stack or rewrite the application?

    Upgrade when the architecture is still sound and the problems come from outdated versions. That’s the faster, lower-risk option in most cases. Consider a rewrite or re-architecture when the core design blocks what the business needs: a tightly coupled monolith that can’t scale, logic nobody can safely change, or a platform with no migration path. A code quality audit shows which situation you’re in before you commit budget.

  • How will the upgraded stack integrate with our existing systems?

    We map every integration point (APIs, databases, message queues, file exchanges, third-party services) before the upgrade and keep the contracts unchanged. Where interfaces have to change, we add compatibility layers or adapters so connected systems keep working, and we check them with contract and integration tests. Downstream systems don’t need to change at the same time. You can update them later, on your own schedule.

  • Will the upgrade improve performance and security?

    In most cases, yes. Newer runtimes and frameworks usually bring faster execution, better memory management, and modern security defaults. Upgrading also closes known vulnerabilities in EOL components. To make sure the gains are real, we benchmark key operations before and after the upgrade and run security scans on the new stack. If you need deeper speed improvements, see our performance optimization services.

  • How do we keep our stack from becoming outdated again?

    Treat upgrades as regular maintenance, not a project every five years:

    • automate dependency updates
    • track the support dates of every major component
    • keep automated test coverage high enough to upgrade safely
    • schedule minor version updates every quarter
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