Case Study
Media · High-Traffic Platform2025

yomi
manga

Serving 5M+ manga reads daily.

Built from scratch — designed to handle real traffic at scale. Not a content site. A high-traffic system built with performance as the primary constraint.

PHPMySQLRedisCDNHigh-traffic Architecture
0M+
Daily requests
0%
Uptime maintained
0
Engineer
yomimanga.com
01 / Context

A platform designed for scale from day one.

yomimanga is a manga reading platform built to deliver a fast, seamless experience — even under heavy traffic.

Unlike most platforms in the space, it was designed with performance as the primary constraint, not an afterthought.

02 / The Problem

Most manga platforms struggle with performance.

Slow load times, broken reading flows, and infrastructure that collapses under traffic spikes.

Existing platforms were built to serve content — not to handle millions of concurrent requests gracefully.

"They're built like content sites — not high-traffic systems."

03 / The Approach

I approached this as a systems problem, not a product problem.

The goal wasn't just to display manga — it was to build a platform that could handle millions of requests, stay fast under load, and deliver a reading experience that respects the art.

Every architectural decision was made through one lens: what happens when this gets 10x more traffic?

04 / Architecture

Performance-first, from the ground up.

Every layer of the stack was chosen and tuned for speed, reliability, and scale. No wasted steps, no default configurations.

  • PHP backend — optimized for high concurrency
  • Redis — aggressive caching layer
  • CDN — static assets served at the edge
  • Database — every query reviewed and tuned
05 / Scaling

Scaling isn't about adding more — it's about removing bottlenecks.

Getting to 5M+ daily requests didn't happen at launch. It required continuous optimization cycles driven by real usage data.

  • Aggressive caching strategies tuned to real request patterns
  • Database query profiling and index optimization under load
  • Infrastructure adjustments based on peak traffic analysis
  • Monitoring and alerting before users notice degradation
06 / Key Decisions

The decisions that made the difference.

  • Prioritize performance over feature complexity at every decision point.
  • Design for caching from the start — not as an afterthought.
  • Optimize for real user behavior, not assumptions or benchmarks.
  • Iterate based on live traffic data, not theory.
07 / What I Learned

Building at scale changes how you think about systems.

yomimanga reinforced one core idea: performance is a product decision, not a technical afterthought.

Building and maintaining a system at this scale solo meant learning to make decisions with incomplete information, prioritize ruthlessly, and optimize based on real signals rather than assumptions.

"Real-world systems don't break because of missing features — they break because they weren't designed for usage."

08 / Result

A system built to last, running at scale.

0M+
Daily requests
Handled in production
0%
Uptime maintained
Under peak traffic
0
Engineer
Built and maintained end-to-end

Live product

See it in production.

Explore live platform