How Airtel delivered flawless IPL 2026 live streams with localized edge delivery and proactive operations

# Summary Airtel and Google Cloud ran the live-streaming backend for IPL 2026 across 74 matches. Their combined approach cut latency, reduced transit congestion, and absorbed massive viewer demand at the edge. The deployment processed several hundred petabytes of egress across the tournament. The final match alone handled tens of billions of requests and hit peak egress of several terabits per second.

# What made the system work Airtel's design combined three concrete elements: deep edge localization, a high-efficiency CDN cache strategy, and proactive operational monitoring.

• Localization: Using Google Cloud's Media CDN, Airtel placed delivery close to viewers throughout India. That reduced network hops and transit congestion. According to the account, 99.9% of tournament traffic was served locally within India.

• Cache efficiency: The CDN strategy produced an overall cache hit ratio above 98%. High hit rates meant origin servers and video platforms rarely experienced heavy load, even at peak moments like a final over.

• Latency performance: End-to-end service maintained a p99 latency under 300 ms during the tournament, which supported fast stream starts and kept buffering risk low during critical game moments.

# Operational readiness and match-day execution Technical architecture alone would not have sufficed. Airtel and Google Cloud established an operational model focused on prevention and rapid response:

• Pre-tournament readiness reviews audited traffic projections, manifest configurations, and failover mechanisms in advance.

• Monitoring as a Service (MaaS) provided continuous telemetry and real-time observability, enabling teams to spot and mitigate network shifts before they affected playback.

• Dedicated match-day support: For high-stakes weekend fixtures and playoffs, Google Cloud's Technical Account Management and MaaS teams worked directly with Airtel engineering to provide around-the-clock, event-focused support.

# Measured outcomes The combined architecture and operations led to measurable outcomes that sustained viewer experience under extreme concurrency:

• Massive scale handled: Several hundred petabytes of egress across 74 matches.

• Peak event load: The final match processed tens of billions of requests and reached peak egress of several terabits per second.

• Local delivery and cache metrics: 99.9% of traffic served locally and a cache hit ratio exceeding 98%.

• Latency: p99 latency stayed below 300 ms, supporting low buffering and quick start times.

# Practical takeaways for live sports streaming teams If you need to scale live sports streams for millions of concurrent viewers, this example shows actionable elements:

• Prioritize edge localization in your CDN choice so most traffic is served close to end users.

• Validate performance assumptions with pre-event readiness reviews that include failover and manifest checks.

• Implement continuous, real-time telemetry and designate dedicated support teams for high-risk events.

# Where to find more details The deployment referenced Media CDN documentation and leveraged Google Cloud operational services such as MaaS and Technical Account Management in a joint support model.

# Authors and context This account was written by Airtel's head of engineering, Hitesh Bhatia, and Anand Vijayan, Senior Product Manager for Media CDN at Google Cloud. The write-up focuses on the technical and operational strategy used during IPL 2026.