Legacy rescue / performance

Stabilize production first, then improve delivery speed without breaking things.

Stabilize

Incidents down, visibility up.

Improve

Profile, tune, optimize critical paths.

Safer delivery

Rollback + checklists + docs.

Typical situation

High incident rate, slow releases, unclear ownership, fragile deployment.
Performance issues that appear only under real traffic and real data.
A “ball of mud” codebase where every change risks production.

Our approach

Short audit: bottlenecks, failure modes, quick wins.
Stabilize: monitoring, safe deploy patterns, rollback strategy, incident playbooks.
Optimize: caching, query tuning, payload trimming, critical path improvements.
Progressive refactor: isolate modules, reduce coupling, improve tests.

What you get

A prioritized plan (weeks 1-4 / 1-3 months).
Measurable improvements: fewer incidents, faster pages/APIs, predictable deploys.
Documentation + handover (runbooks, architecture notes, change logs).

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