Work & Case Studies | LogicMesh - Engineering Outcomes

PROJECT_ID: LM-MEDIA-01

CRASHED @ 2K USERS

↓ RE-ENGINEERED

Varnish

EJS

STABLE @ 50K USERS

Sector: News & Publishing

Surviving the "Viral Spike"

The Problem: A regional news portal was hosting on WordPress. Every time a breaking news story was shared on WhatsApp, their server crashed (Error 500) due to database lockups.

The Fix: We migrated the frontend to raw EJS templates and placed a Varnish Cache layer in front of the server. This allowed the site to serve static HTML from RAM, bypassing the database entirely for 99% of users.

0.2s

Load Time (Down from 4s)

100%

Uptime during Peak

Sector: AI / SaaS

Scaling Job Queues

The Problem: Our internal product (Hyperly Writer) needed to generate 500 blog posts at once. Doing this in a simple loop caused timeouts and API rate limits.

The Fix: We implemented an asynchronous architecture using BullMQ (Redis). Jobs are pushed to a queue and processed by isolated workers that respect API rate limits and retry automatically on failure.

50k+

Jobs Processed / Day

Data Loss

/logs/worker_node_1.log

[10:00:01] Job #4920 received. Priority: High

[10:00:01] Processing via OpenAI API...

[10:00:03] Success. Content Generated (1200 words).

[10:00:03] Webhook sent to client.

[10:00:03] Worker ready for next job.

The "Anti-Bloat" Audit

We took a standard React-based marketing site that scored 45/100 on Lighthouse. We rebuilt it using static HTML and minimal CSS.

OLD SCORE

→

100

NEW SCORE

Evidence of
Performance.

Surviving the "Viral Spike"

Scaling Job Queues

The "Anti-Bloat" Audit

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