BackRun & Scale

Support & Maintenance

We stay in the room. Long after the launch.

We monitor, patch, and improve your systems continuously — with SLAs, rapid response, and proactive maintenance that catches problems before they reach your users.

Talk to us about this

Most vendors disappear after launch. We don't. The systems we build run businesses — and businesses don't stop at go-live. Bugs surface, dependencies age, traffic grows, and requirements change. We stay in the room.

Our support model is built around preventing problems, not reacting to them. The best incident is the one that never happens.

What the engagement covers

01

Bug fixes & incident response

Prioritized triage and resolution with defined response SLAs — so production issues get the right attention at the right speed, every time.

02

Dependency & security updates

Regular patching of libraries, runtimes, and infrastructure — because most breaches exploit known vulnerabilities in outdated dependencies.

03

Performance monitoring

Continuous tracking of response times, error rates, and resource usage — with alerts before users notice, not after they complain.

04

Proactive health reviews

Monthly reviews of system health, upcoming end-of-life dependencies, and capacity trends — so nothing catches you off-guard at the worst time.

05

Feature evolution

Smaller enhancements and iterative improvements delivered as part of the ongoing relationship — not re-scoped as separate projects each time.

06

Documentation upkeep

Architecture docs, runbooks, and API references kept current as the system evolves — so knowledge lives in the codebase, not in one engineer's head.

Response tiers

Critical

< 1 hour

Production down or data at risk

System unavailable, security incident, data corruption

High

< 4 hours

Significant functionality impaired

Core workflow broken, major feature unavailable

Standard

< 2 business days

Minor issues and improvements

UI bugs, edge cases, non-critical enhancements

Maintenance is not a cost center.

A system that's actively maintained compounds in value — fewer incidents, faster new features, lower onboarding friction. A system that's left to drift accumulates invisible debt until a critical dependency breaks and nobody knows where to start. We keep the first outcome from becoming the second.