Datadog > Case Studies > Scaling a Region’s Leading Live Streaming Service with Confidence

Scaling a Region’s Leading Live Streaming Service with Confidence

Company Size

1,000+

Region

Asia

Country

Indonesia

Product

Datadog Infrastructure Monitoring
Datadog Application Performance Monitoring (APM)
Datadog Synthetic Monitoring

Tech Stack

Google Cloud Platform (GCP)
Load Balancers

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Customer Satisfaction
Productivity Improvements

Technology Category

Analytics & Modeling - Real Time Analytics
Platform as a Service (PaaS) - Connectivity Platforms

Applicable Industries

Telecommunications

Applicable Functions

Business Operation

Use Cases

Predictive Quality Analytics
Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services
System Integration

About The Customer

Vidio is a multi-platform video streaming service that provides curated local and premium content, including live sports matches, popular television series, and movies. As a key player in the Indonesian streaming video sector, Vidio caters to millions of monthly active viewers, ranging from millennial trendsetters to mobile-first consumers of all ages. With over 40 million app downloads and more than 60 million monthly active users, Vidio is one of the leading video streaming applications for the Indonesian market. Vidio enjoys strong brand recognition and significant consumer momentum—especially among Android users, which account for 93% of all Indonesian mobile devices.

The Challenge

Vidio, a leading video streaming service in Indonesia, needed a monitoring solution to ensure a smooth and latency-free experience for their users. The company required visibility into their dynamic cloud environment, which was crucial for maintaining application uptime and consistent high stream quality. The challenge was to find an intuitive platform that would not add extra overhead to its Engineering and DevOps teams. This was particularly important during live sports events, which can attract an audience of up to eight million viewers.

The Solution

Vidio utilized three parts of the Datadog platform: Infrastructure Monitoring, Application Performance Monitoring (APM), and Synthetic Monitoring. The company used GCP’s built-in load balancing and relied on Datadog’s GCP integration to view the health of their services and the underlying compute engines. Vidio also configured its systems to send custom metrics to Datadog, such as registration success rate, subscription success rate, and user traffic. Each of these indicators was then aggregated, analyzed, and displayed on a Datadog dashboard, so that the Vidio team could monitor and optimize key product features to improve their success rates. To understand the full customer experience, Vidio leveraged Datadog APM to visualize backend requests and Datadog Synthetic Monitoring to proactively test their applications.

Operational Impact

Datadog's unified monitoring platform enabled Vidio's teams to quickly detect and resolve incidents.
Datadog enables Vidio to live stream to a large audience by monitoring the health of their system in real time.
Vidio uses Datadog to gain real-time, granular insights into their infrastructure and applications.
Since Vidio has incorporated Datadog into their troubleshooting workflow, their teams have managed to reduce both mean time to detection (MTTD) and resolution (MTTR).

Quantitative Benefit