Scaling Dekoder to Handle 200k Concurrent Users with DevSecCops.ai
Overview
Dekoder, an innovative platform launched by NDTV founders,aimed to provide real-time updates and insights during election campaigns. To achieve this, Dekoder required a robust and scalable cloud infrastructure capable of handling a high volume of concurrent users and requests.
The Challenges
Scalability: Dekoder needed to support over 200k concurrent users and process more than 10 million requests during peak times, particularly during election campaigns.
Low-Latency Video Streaming: Ensuring live video feedswith latency of less than 10 seconds was crucial for delivering timely information to users.
Initial Attempts
Dekoder team faced challenges in managing the sheer volume of users and maintaining low latency during live video feeds. The existing infrastructure was unable to meet the demands of such a high-traffic platform, risking the user experience
Solutions by DevSecCops.ai
Scalable Infrastructure:
DevSecCops.ai optimized the cloud infrastructure, enabling Dekoder to handle over 200k concurrent users and efficiently process more than 10 million requests during peak election periods.
Low-Latency Video Feeds:
They implemented solutions that reduced video feed latency to less than 10 seconds, ensuring that users received real-time updates without delays.
Reliability:
With the enhanced infrastructure, Dekoder achieved the reliability needed to operate seamlessly during high-pressure situations, such as live election coverage.
Thanks to the expertise and solutions provided by DevSecCops.ai, Dekoder successfully launched a cloud infrastructure that was both scalable and reliable, meeting the high demands of their user base and delivering real-time content with minimal latency.
Trusted By
