How Akila News achieved zero downtime during peak traffic while serving 7+ lakh readers during a high-stakes election migration
Akila News is a regional Indian digital news platform known for real-time political and election coverage. During major election result days, the platform experiences sudden and extreme traffic spikes. In one such event, Akila News needed to support over 7 lakh readers within a short time window while ensuring uninterrupted access to breaking news.
Just 72 hours before election results were announced, Akila News made the decision to switch cloud providers. The objective was clear: ensure zero downtime, stable performance, and seamless scalability during peak traffic hours. AccuWeb.Cloud executed the migration, optimized the infrastructure, and successfully handled election day traffic without service disruption.
Akila News is a fast-growing digital news publisher serving a large regional audience in India. The platform delivers continuous updates on politics, elections, and local developments. Traffic patterns are highly unpredictable, especially during election results when reader demand increases sharply within minutes.
Reliable infrastructure is critical for Akila News, as any downtime during peak news hours can directly impact credibility, readership trust, and advertising revenue.
During election result announcements, Akila News experienced sudden traffic surges reaching more than 7 lakh readers. The existing hosting environment was not designed to handle such unpredictable spikes. Performance degradation, slow page loads, and the risk of downtime became serious concerns.
Akila News needed an immediate, reliable, and scalable cloud solution.
Waiting until after election results was not an option. Any outage during live election coverage could result in loss of readers and long-term trust. Akila News chose to migrate under a tight deadline to ensure stability before traffic peaked.
AccuWeb.Cloud designed and implemented a scalable cloud infrastructure optimized for high traffic media websites. The migration and optimization were completed within 72 hours without disrupting ongoing publishing operations.
The infrastructure was designed to handle sudden traffic surges efficiently while maintaining performance stability.
For web servers to handle traffic spikes
To isolate heavy read traffic
For static assets and images delivery
To distribute incoming traffic evenly
This architecture ensured that as traffic increased, resources scaled automatically without manual intervention.
Despite unpredictable traffic surges during election result announcements, Akila News maintained stable performance throughout the event.
During peak traffic hours
Successfully served all visitors
Page load speeds maintained
Without manual intervention
High-traffic events like elections expose the limitations of traditional hosting setups. This case study demonstrates how scalable cloud infrastructure can support digital news platforms during unpredictable traffic spikes without compromising performance or reliability.
This case study is relevant for:
The Akila News election traffic case study highlights how the right cloud infrastructure can ensure stability, performance, and reliability during high-pressure events. By switching cloud providers just 72 hours before election results, Akila News successfully served millions of page views without downtime, protecting both readership trust and business continuity.
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*For a detailed explanation of how we calculated prices, click here
*Pricing comparison based on equivalent configurations as of 18th October 2025
Start Saving TodayAkila News successfully handled over 7 lakh readers during peak election hours.
Akila News primarily operates on WordPress with performance optimization and CDN integration.
Auto-scaling allows resources to increase within minutes based on real-time traffic demand.
No. The platform experienced zero downtime during peak election coverage.
Yes. This architecture is ideal for any media or content platform facing unpredictable traffic spikes.
Resources scale down automatically, helping control infrastructure costs.
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