Optimum Web
PerformanceMedia

Performance Optimization for a High-Traffic News Portal

60% faster page loads, zero downtime during 3x traffic spikes

Industry

Media / Publishing

Duration

4 weeks

Service

Performance Optimization, Infrastructure Management, DevOps

Challenge

Website crashing under traffic spikes, slow page loads, growing technical debt

Technologies
NginxRedisPostgreSQLDockerCDNPHP/Symfony
Key Result

60% faster page loads, zero downtime during 3x traffic spikes

The Problem

A prominent online news outlet serving 50,000+ daily unique visitors was drowning in technical debt. What started as a fast, responsive website had gradually deteriorated as their content library grew to over 100,000 articles spanning several years of daily publishing.

The symptoms were impossible to ignore:

Page load times exceeded 8 seconds during peak hours (morning news cycle, 8–10 AM), causing a 35% bounce rate increase. Server crashes during breaking news events — when a major story broke, traffic would spike 3–5x within minutes. The server would buckle, returning 502/503 errors to readers exactly when they needed the site most.

Database bloat

Years of accumulated content, revisions, user comments, and analytics data had ballooned the database to 45GB. Queries that once took milliseconds now took 5–10 seconds.

No caching strategy

Every page request hit the application server and database directly — even for articles published years ago that hadn't changed in months.

CDN misconfiguration

Static assets (images, CSS, JS) were being served from the origin server in Moldova, adding 200–400ms of latency for readers in Western Europe and the USA.

Editorial workflow slowdown

Journalists reported that the CMS backend had become "unusably slow," with article save operations taking 15–30 seconds and occasionally timing out — causing lost drafts and missed deadlines. The publication's editor-in-chief described the situation: "We're a news site that can't handle the news. Every time something important happens, we go dark."

The Solution

Phase 1: Emergency Stabilization (Week 1)

Optimum Web conducted a comprehensive performance audit and implemented a multi-layered optimization strategy:

  • Deployed Nginx as a reverse proxy with aggressive static file caching, immediately offloading 70% of requests from the application server.
  • Configured a proper CDN (Cloudflare) with geographic edge caching for readers in EU, USA, and CIS — reducing latency for static assets from 400ms to under 30ms.
  • Implemented emergency database query optimization: identified and indexed the 15 slowest queries responsible for 80% of database load.

Phase 2: Caching Architecture (Week 2)

  • Deployed Redis as a full-page cache for published articles. Articles older than 1 hour are served directly from Redis, bypassing PHP and the database entirely.
  • Implemented smart cache invalidation: when an editor updates an article, only that specific page's cache is cleared — not the entire cache.
  • Added object caching for frequently accessed data: navigation menus, category listings, author profiles, and trending article lists.
  • Result: Application server load dropped by 85%.

Phase 3: Database Optimization (Week 3)

  • Analyzed and restructured the 45GB database. Archived 3+ year-old article revisions and comment data to a separate read-only database.
  • Optimized PostgreSQL configuration: adjusted shared_buffers, work_mem, effective_cache_size for the specific workload profile.
  • Implemented connection pooling (PgBouncer) to handle concurrent connections during traffic spikes without exhausting server resources.
  • Added read replicas to distribute database load during peak hours.

Phase 4: Infrastructure & Monitoring (Week 4)

  • Containerized the application with Docker for consistent deployments and easy horizontal scaling.
  • Configured auto-scaling rules: when CPU exceeds 70% for 2 minutes, a new application instance spins up automatically.
  • Set up comprehensive monitoring (Prometheus + Grafana) with real-time dashboards showing response times, error rates, cache hit ratios, and database performance.
  • Implemented alerting: Telegram notifications for response times >2s, error rates >1%, or cache hit ratio <90%.

The Results

8+ seconds → 3.2 seconds (60% faster)
Page Load Time
Zero downtime during 3x traffic spikes
Uptime
35% → 12% (23% improvement)
Bounce Rate
5-10 seconds → under 50ms (99% faster)
Database Queries

Additional Outcomes

  • Editorial CMS backend: article save time dropped from 15–30 seconds to under 2 seconds.
  • Server costs decreased by 30% despite handling 3x more traffic — thanks to efficient caching and CDN offloading.
  • The site successfully handled a viral breaking news event (150,000 visitors in 1 hour) with zero downtime — a first in the publication's history.

Technologies Used

NginxRedisPostgreSQLPgBouncerDockerCloudflare CDNPrometheusGrafanaPHPSymfony

Key Takeaway

Performance isn't a one-time fix — it's an architecture. For high-traffic content sites, the combination of intelligent caching (Redis), CDN optimization, and database tuning can reduce server load by 85%+ while simultaneously improving user experience. The ROI is immediate: lower bounce rates, higher engagement, and the confidence that your site won't crash when it matters most.

Facing a Similar Challenge? Let's Talk

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