Modernization & Support

Application modernization โ€” without betting the year on a rewrite.

Old systems don't fail on a schedule โ€” they fail at the worst time, and every year they cost more to keep alive. We re-architect legacy software incrementally and run it under 24/7 SLA support, so your platform stays secure, fast, and worth maintaining.

  • Zero-downtime migration
  • 24/7 SLA support
  • Funded from the savings
Zero

downtime during cutover

โˆ’38%

run cost after modernizing

24/7

SLA monitoring & support

99.98%

Uptime on modernized systems

16ร—

Faster incident resolution

โˆ’38%

Run cost vs. legacy baseline

Zero

Big-bang rewrites required

Why modernize instead of maintain

Aging software is a compounding tax

Every quarter on a legacy stack adds cost, risk, and lead time. We remove the tax incrementally โ€” and then make sure it doesn't come back.

Stop the cost from compounding

Every year on aging software costs more โ€” in cloud waste, support hours, and stalled features. We cut the recurring bleak with replatforming and automation, not another year of patches.

Modernize without the outage

Strangler-fig migration and regression test harnesses mean we change the engine while it's running. Users keep working; the roadmap keeps moving.

Incremental, not a big-bang rewrite

We modernize in waves you can fund and validate โ€” audit, refactor, replatform, support โ€” so you see ROI early instead of betting a year on a rewrite.

Modernized and then kept healthy

The team that re-architects your system also runs it: 24/7 SLA support, patching, and SRE, so it doesn't slide back into the debt you just paid down.

From audit to managed support

Modernization that ships in waves

Four steps turn an aging, risky system into a modern platform you can keep improving โ€” without a flag-day cutover.

  1. 1

    Audit & risk-rank

    We map the architecture, security baseline, and code health, then hand you a prioritized risk register scored by impact and effort โ€” the modernization plan starts from evidence, not guesswork.

  2. 2

    Modernize in waves

    Refactor the riskiest modules, replatform to managed cloud, and decompose the monolith behind an API gateway โ€” released incrementally so production never goes dark.

  3. 3

    Validate every change

    Automated regression suites and performance tests prove each wave preserves behavior and improves the numbers before it ships.

  4. 4

    Transition to managed support

    Monitoring, incident response, patching, and SRE take over so the modernized system stays fast, secure, and supported around the clock.

Modernization, in production

Harborline: a 13-year-old monolith, modernized and kept online

A freight company ran logistics on a 2011-era monolith that deployed once a quarter and went down every peak season. We modernized it in waves and moved it onto 24/7 SLA support.

Harborline Freight

Logistics & supply chain ยท USA

Logistics ยท Enterprise
Mean time to resolve incidents16ร— faster
Before
~6 hours
After
22 min
Annual infrastructure + maintenance cost38% saved
Before
legacy baseline
After
โˆ’38%
Release frequency after modernization60ร— more often
Before
1 / quarter
After
daily
22 min

MTTR (was ~6 hrs)

โˆ’38%

Run cost vs. legacy

daily

Releases (was 1/quarter)

0

Hours of cutover downtime

โ€œWe'd been told the only fix was a two-year rewrite we couldn't afford to risk. pyronix modernized the system underneath us in waves โ€” peak season came and went without a single outage, and we're shipping every day now.โ€
โ€” CTO, Harborline Freight
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Straight answers

Application modernization โ€” your questions

What are application modernization services?

Application modernization services upgrade legacy software so it's cheaper to run and faster to change โ€” refactoring code, replatforming to the cloud, decomposing monoliths into services, and then keeping it healthy with ongoing support. The goal is a system that's secure, scalable, and worth maintaining, without a risky big-bang rewrite.

How do you modernize a legacy system without downtime?

We use the Strangler Fig pattern: new modern services are built alongside the legacy system and traffic is cut over incrementally behind an API gateway, with automated tests guarding existing behavior. Users stay on a working system the whole way through โ€” there's no flag-day switch and no extended outage.

Should we rewrite from scratch or modernize incrementally?

Full rewrites are slow and high-risk โ€” they freeze your roadmap for a year and often fail. We almost always modernize incrementally: audit first, fix the highest-risk areas, refactor and replatform in waves, and ship value continuously. You get compounding improvements instead of an all-or-nothing bet.

How much do modernization and support services cost?

Modernization is scoped in waves so spend tracks value โ€” a focused audit is a fixed fee, replatforming and refactoring run as milestone projects, and support runs as a monthly SLA retainer. Most clients fund later waves from the infrastructure and maintenance savings the early ones unlock.

Do you also support the system after modernizing it?

Yes. We transition modernized systems straight into managed support โ€” 24/7 monitoring, incident response, security patching, and SRE โ€” so the platform we improve doesn't quietly drift back into technical debt. One team owns it end to end.

Stop paying the legacy tax.

Send us the system that's slowing you down. We'll come back with a prioritized modernization plan โ€” and a path that keeps production running the whole way.

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