Application Modernization

    Application modernization services for legacy code

    Old frameworks stop getting security fixes long before the business stops needing the app. Agnotic Technologies modernizes legacy applications at the code level, with tests first and small released steps, so the app keeps working while it moves to supported technology.

    End-of-life upgradesTests before changeModule by moduleCutover with rollback

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    Modernization

    What is application modernization?

    Application modernization is changing the code of a working business application so it runs on supported frameworks and runtimes and can change safely again. Agnotic Technologies assesses each application, adds tests that capture today's behavior, upgrades or replaces end-of-life frameworks module by module, and cuts over without freezing feature work for months.

    This page is about the code. Moving workloads to a cloud provider is covered by our cloud migration and modernization service, and healthcare systems have their own healthcare software modernization page.

    Most modernization is an upgrade path, not a rewrite. A rewrite is right only for modules whose workflow no longer matches how the business runs.

    End-of-life table

    Which frameworks and runtimes are out of support?

    Support status from each owner's lifecycle page, read on 21 October 2026. Your inventory decides which rows apply.

    PlatformPublished support statusRisk of stayingUsual upgrade path
    AngularJS (1.x)Support officially ended in January 2022No fixes from the project, while browsers and libraries move onRebuild screens in a supported framework one route at a time, both running behind one shell
    .NET Framework 4.6.2Support ends January 12, 2027Unpatched runtime after that date, and many newer libraries target modern .NET onlyMove to .NET Framework 4.8.1 as a short step, or port projects to modern .NET library by library
    Modern .NET releasesLTS gets three years of free support, STS gets twoRunning a version past its end date after a missed upgradePlan each upgrade in the backlog and stay on LTS releases unless a feature needs STS
    Python 2Sunset on January 1, 2020, with no fixes even for security problemsUnpatched interpreter and libraries that no longer ship Python 2 buildsPort to Python 3 with tests first, then upgrade dependencies
    PHP release branchesTwo years of active support, then two years of security fixes onlyA branch past end of life gets no security fixesUpgrade one branch at a time with automated tests at each step

    Portfolio assessment

    Retire, keep, upgrade or rebuild?

    Each application in the inventory gets one of these decisions, with the reason written down.

    01

    Retire

    Example: An internal report tool used by two people and duplicated by the ERP

    Approach: Archive the data, point users to the replacement and switch it off.

    02

    Keep as is

    Example: A stable tool on a supported runtime with few changes planned

    Approach: Leave the code alone and keep its dependencies patched.

    03

    Upgrade in place

    Example: A .NET Framework web app with sound business logic

    Approach: Add tests, then move the framework and libraries forward in small, released steps.

    04

    Rebuild by module

    Example: An AngularJS front end on a healthy API

    Approach: Replace screens route by route behind the same URLs, so users never switch apps.

    05

    Rebuild

    Example: A desktop client whose workflow no longer matches how the business runs

    Approach: Capture the rules from the old code and its users first, then build the new app and migrate data once.

    Method

    How do we change old code without breaking it?

    1. Map the code and who knows it

      Dependency map, build steps, test coverage and the people who still understand each module, recorded before any change.

    2. Add characterization tests

      Tests that record what the code does today, including odd behavior users rely on, so any change in output fails the build.

    3. Create seams

      Interfaces around the database, file system and outside calls, so modules can be upgraded or replaced one at a time.

    4. Upgrade or replace module by module

      Each step ships on its own. Inside the code we move toward a modular monolith; at the edge we route single URLs or API calls to new code.

    5. Replace the data access layer

      New data access code runs beside the old, and schema changes use expand and contract steps so both versions work on the same database.

    6. Cut over with a rollback

      Feature flags or routing rules move traffic gradually, and the old path stays available until the new one has run cleanly in production.

    Failure points

    Where do modernization projects go wrong?

    Challenge

    A big-bang rewrite freezes features for a long stretch and still misses rules hidden in the old code.

    Agnotic approach

    Modernize in released steps, and treat the old code as the specification until tests capture it.

    Challenge

    Refactoring starts before any tests exist.

    Agnotic approach

    Characterization tests come first, even for code that will be deleted later.

    Challenge

    Dependency upgrades are bundled into one huge change.

    Agnotic approach

    Upgrade one framework or library family per release, and fail the build on known vulnerable versions.

    Challenge

    The schema changes in one step and breaks the old code.

    Agnotic approach

    Expand and contract migrations keep old and new code working until the switch.

    Challenge

    The only person who understands a module leaves mid-project.

    Agnotic approach

    Knowledge capture sessions and written module notes early in the engagement.

    Who do we modernize applications for?

    Product companies with a legacy core

    A revenue-earning product on an old framework that the team is afraid to touch.

    Enterprises with line-of-business apps

    Internal tools that still run key processes but block security reviews and hiring.

    Companies after an acquisition

    Inherited code on unfamiliar stacks that must be brought in line with the rest of the estate.

    Teams on unsupported desktop clients

    Windows desktop software moving to a web app without losing the workflows users depend on.

    Startups whose first build has aged

    An early version built quickly that now needs upgrading before the next stage of growth.

    References

    Lifecycle and engineering references

    .NET support policyMicrosoft LifecycleAngularJSPythonPHPNIST SP 800-218 PW.4.4
    Facts and sources

    Facts behind application modernization

    Published support dates from each framework's owner. We re-check them at the start of every assessment.

    Scope and cost

    What drives application modernization cost?

    We do not publish prices. These factors decide the size of the work.

    Size and age of the code

    Lines of code matter less than how tangled the modules are.

    Test coverage today

    Little or no coverage means more characterization tests before any change.

    Frameworks to move

    One runtime upgrade is smaller than a runtime, a UI framework and an ORM together.

    Data and schema changes

    Schema changes need expand and contract steps and data checks.

    Integrations

    Each outside system needs contract tests that stay green through the upgrade.

    Feature work in parallel

    How much new work your team ships while modernization runs.

    Frequently Asked Questions

    It depends on the size of the codebase, its test coverage and how many frameworks move. After a short assessment we agree the first released step, so value arrives before the whole plan is done.