> case_study / indiaforums
IndiaForums.com ↗
One of India's largest entertainment community portals — forums, news, TV show coverage, celebrity rankings, fan fiction, and real-time discussions. We built it and we've been running it for 22+ years.
- Built and operated by Cyberax for 22+ years
- One of India's largest entertainment community portals
- Holds up through TV-finale and TRP-week traffic spikes
- 15+ years of forums, profiles, and archives kept fast and searchable
The problem
IndiaForums is one of India's largest entertainment communities — dedicated forums for every major show on Star Plus, Zee TV, Colors, and Sony, plus news, celebrity rankings, fan fiction, photo galleries, and real-time discussion. Thousands of people generating content around the clock. The hard part was never building it once; it's keeping it fast and standing for decades as the audience and the archive keep growing.
Why it's hard to get right
Traffic doesn't arrive evenly. When a popular show airs — a season finale, a surprise elimination, TRP-week results — load spikes massively in minutes as thousands of users flood the same threads at once. On top of that sits 15+ years of community history — threads, profiles, archives — that all has to stay fast and accessible while new features keep shipping. Build for the average and the night that matters most is the night you go down.
How we built it
We built every layer assuming spikes, not averages — caching tuned for the content that goes viral in the Indian TV community, and queue-based processing so a flood of user posts doesn't choke the rest of the platform. When a dependent service slows down, the site degrades gracefully instead of taking everything with it. Traffic surges pass without anyone noticing.
What this means for you
If you're building something that has to survive real, uneven load — and keep running for years, not months — that's the experience we bring. We've operated this platform through every kind of spike for over two decades, and we design for the night that breaks assumptions, not the quiet average.
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