Tech
How Government Agencies Are Finally Replacing Code That Predates the Internet
From COBOL mainframes to cloud migrations, government agencies are modernizing legacy systems that have run critical services for decades — but the path is messy, human-driven, and far from complete.
June 2026 · 6 min read · 1 views · 0 hearts
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The Slow Unraveling: How Government Agencies Are Finally Replacing Code That Predates the Internet
Deep beneath the polished websites and mobile apps of modern government services, there's a hidden world of legacy technology that's older than most of the programmers maintaining it. We're talking COBOL code from the 1970s, mainframes the size of refrigerators, and database systems that haven't been updated since the Berlin Wall fell.
But something is changing. After decades of patching, workarounds, and "if it ain't broke, don't fix it" inertia, government agencies are finally breaking ground on modernization projects that would have seemed impossible just a decade ago.
The COBOL Crisis Nobody Talks About
In 2020, when COVID-19 hit and unemployment claims surged, the cracks in America's digital infrastructure became impossible to ignore. State after state watched their unemployment systems buckle under the load. The culprit? COBOL — a programming language first developed in 1959.
New Jersey's unemployment system was running on a 40-year-old mainframe. California's system used COBOL code so ancient that the state had to call retired programmers back to work. It was a sobering reminder: critical social safety nets were running on technology that predated the moon landing.
The problem isn't just age. It's the invisible costs:
- Knowledge drain: The average COBOL programmer is in their 60s. When they retire, the system's institutional knowledge retires with them.
- Security nightmares: Legacy systems weren't designed for the modern threat landscape. Many can't even support encryption.
- Integration hell: Want to connect a modern cloud service to a mainframe from 1985? Good luck. The data formats, protocols, and business logic don't translate.
What Modernization Actually Looks Like
The good news is that agencies aren't just slapping new interfaces on old code. They're fundamentally rethinking how systems work. Here are the real-world approaches that are gaining traction:
1. The "Strangler Fig" Pattern
Rather than rewriting everything at once (which historically fails), agencies are slowly wrapping old systems in new services. The U.S. Department of Veterans Affairs used this pattern to modernize its benefits claims system. Instead of replacing the entire monolithic system, they built new microservices alongside it, gradually migrating functionality piece by piece.
2. Open Source as a Public Resource
The U.S. Digital Service and 18F (a government tech consultancy within the General Services Administration) pushed agencies toward open source solutions. California's Child Welfare Digital Services project now builds its system on open-source components, releasing code publicly. This means other states can reuse it, reducing the billion-dollar cost of building from scratch.
3. Containerization of Mainframes
This sounds contradictory, but it's happening. Agencies like the U.S. Air Force have taken COBOL applications and containerized them using Docker and Kubernetes. The code stays the same, but it runs in modern, scalable infrastructure that can be patched and monitored.
The Quiet Revolution in State Government
While federal modernization gets headlines, state agencies are moving faster — and more creatively.
Georgia rebuilt its tax system from scratch in 18 months using an agile approach. Previously, filing a simple sales tax return required 12 different screens across 3 systems. Now it's one interface.
Colorado replaced its 30-year-old Medicaid eligibility system with modular components that can be updated independently. When federal policy changes (and it changes often), they no longer need to rewrite the entire system.
What's driving this? Competition. States that modernize attract tech talent, process permits faster, and handle crises better. It's a race with real stakes.
The Data Center Exodus
One of the most visible changes is the mass migration away from government-owned data centers. The U.S. Department of Agriculture completed a multi-year migration of 44 data centers to the cloud. The Department of Homeland Security is doing the same.
The reasoning is blunt: maintaining a physical data center requires staff, security, cooling, and hardware upgrades that most agencies can't afford. Cloud providers handle all of that, and they do it with better security compliance than most government IT teams can manage in-house.
What's Still Broken
Let's be honest: modernization is messy. The Social Security Administration still runs on COBOL. Many state unemployment systems are still held together with duct tape. The IRS's master file system — the database that processes every American's tax return — was written in 1962.
The biggest challenge isn't technical; it's human. Agency leaders are risk-averse for good reason — a failed upgrade could mean millions of people lose benefits. Procurement rules favor massive vendors with legacy solutions. And Congress rarely funds maintenance, preferring flashy new programs.
The Bottom Line
The arc of government technology modernization is long, but it bends toward practicality. Agencies are realizing that maintaining 40-year-old code isn't a badge of efficiency — it's a liability. The systems that work best aren't the ones with the most features or the sleekest interfaces. They're the ones that can be updated, patched, and improved without requiring a national emergency.
The COBOL crisis of 2020 was a wake-up call. And for once, the government actually hit the snooze button — then started coding.
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