Legacy System Modernization Services

A: No. We set aside capacity for modernization while your team continues feature work. Typically, 40–50% of team capacity goes to modernization; 50–60% goes to features. Velocity slows slightly but doesn't stop. **Q: What if critical bugs appear in the legacy system during modernization?** A: We have a process. If critical bugs appear, you decide: fix in legacy (keeps legacy going longer) or work around in new system (pushes migration forward). We help you make the call based on impact and effort. **Q: How do we communicate about modernization to customers?** A: You don't need to. Modernization is invisible to customers if done right. They experience faster features, more reliability, and better performance—but they don't know about the backend work. **Q: Can we migrate data without system downtime?** A: In some cases, yes. If new system can read from legacy system while being populated, we can run both in parallel with minimal downtime. For full cutover, some downtime is usually needed (could be 1 hour, could be 30 minutes). We minimize it. **Q: What's the biggest risk of modernization?** A: Scope creep and team distraction. Modernization is hard. Teams get pulled to production support, new features feel more urgent, and modernization work gets delayed. We prevent this by protecting modernization time and keeping scope clear. **Q: Do we need to hire new engineers with skills in the new technology?** A: Not necessarily. Modern languages and frameworks are easier to learn. We prefer to upskill your existing team. But for some migrations (e.g., from C++ to Rust), hiring specialists makes sense. **Q: How do you handle knowledge transfer to our team?** A: Through code review, documentation, and pairing. We don't want your team dependent on us. By end of project, your team should be comfortable maintaining and extending the new system. **Q: Can we start modernization with a small piece and expand?** A: Yes. Modernize the highest-risk or lowest-value module first. Prove the approach. Build confidence. Then tackle larger modules. This reduces risk and builds team confidence. ---