DishTV is the second-largest global provider of satellite TV, with some 25 million active subscribers and more than 400 channels in India. The company recently launched its Watcho over-the-top (OTT) platform, featuring original programming as well as content from digital partners.
The explosion of on-demand programming has proven a major digital disruptor for traditional TV firms across the globe. As the world’s second-largest satellite TV provider, with 25 million subscribers, India’s DishTV aims to stay ahead of the digital entertainment curve. In 2018, DishTV began developing its own over-the-top (OTT) online platform called Watcho, featuring original content as well as licensed partner programming. “Content is king and it’s becoming increasingly important for any media business to sustain it in the long term,” says Akash Tyagi, Head of Product Management-OTT (Watcho), DishTV.
The goals for the platform were multifold: create “sticky” customer experiences to improve engagement and reduce churn; acquire new subscribers who were interested in OTT; and drive transformation to become a data-driven organization. “If you look at the TV ecosystem globally,” Tyagi says, “satellite and cable companies are not very data-oriented. We don’t understand much about our consumers’ behavior and preferences because the satellite box does not provide return path data. With OTT and hybrid offerings, we focused on developing meaningful insights surrounding our consumers’ content preferences and the way they engaged with our services using data analytics.”
Cloud technology was a given for the new platform. Demand for OTT content is highly variable, with workloads spiking 10 times or more from day to day. Scalability offered on the cloud would have been harder to accomplish on premises, where a majority of DishTV’s workloads were hosted prior to this project.
The company already had some applications running on the Amazon Web Services (AWS) Cloud, and it chose AWS for this project based on price, performance, and its breadth and depth of service offerings. “The breadth of AWS solutions is much more robust than their competitors’ offer. Other companies are good in specific things but cannot give us what we need for multiple use cases for our applications,” Tyagi says. DishTV uses AWS services for its end-to-end OTT solution, from ingestion of content and processing to advanced use cases that leverage machine learning through to delivery.
Containers Cut Costs
To affordably house massive datasets on the platform, DishTV takes advantage of Amazon Simple Storage Service (Amazon S3). For video processing, it uses AWS Elemental, and for content delivery, it relies on Amazon CloudFront. The team also deployed AWS Lambda to run the startup code on the Watcho application’s backend.
When designing the OTT infrastructure, the team noticed that their Amazon Elastic Compute Cloud (Amazon EC2) servers-the initial choice for their base architecture-were often sitting idle. They decided to deploy Docker containers to improve resource utilization and chose Amazon Elastic Container Service (Amazon ECS) to run and scale containerized applications. Containers have cut costs by firing up servers only when necessary, using AWS Auto Scaling and Elastic Load Balancing to expand resources during big entertainment events such as national cricket matches. “That’s a huge advantage in terms of reducing our overall cost of ownership for the project,” Tyagi says. Containers also make it easier to isolate target environments when small changes are required, without impacting the entire infrastructure.
DishTV launched Watcho in January 2019, just seven months after development had started. “Building an end-to-end solution on AWS helped speed up time-to-market,” says Tyagi. “Typical OTT development time for operators our size, also hosted on public or private clouds using a range of providers, range from 12 to 14 months.” Several members of DishTV’s team as well as those of its implementation partner, 99Array, completed AWS certifications prior to starting the project, which eased the configuration process and ensured they were following best practices from the start. The fact that many supply chain partners, such as the company handling packaging, were already integrated with AWS also sped up the process by at least a month.
Although the company is still in the early stages of data collection, it is already gathering useful quantitative insights such as the days and times customers view OTT content. Such data helps DishTV marketers understand how and when to communicate with customers and upsell their products. The data also aids in market segmentation and mapping content preferences. Ultimately, the company’s goal is to streamline its content offering to match demand. Content production is a major cost center and tailoring its programming to customers’ tastes-cutting programs with fewer viewers-could save DishTV thousands of dollars per month.
The team is also experimenting with artificial intelligence (AI) and machine learning (ML) to fuel innovation. “AWS offers a strategic advantage from a digital transformation perspective, using new services such as Amazon Lex, Amazon Polly, and Amazon Rekognition, all of which would be too cumbersome to create and manage on premises,” Tyagi says. DishTV uses Amazon Lex to enable mobile voice commands and Amazon Rekognition to flag abusive language on its user-generated content feature. It is beta testing Amazon Polly and Amazon Transcribe for subtitling speech to text and vice versa, and it’s exploring the use of Amazon Personalize to build a recommendations engine.
Tyagi concludes, “Overall, AWS has a very proactive approach towards customers, which I really appreciate. They keep coming up with new types of engagements to help us understand the gaps in our technology and how best to optimize.”
Benefits
* Reduces time-to-market from 14 to 7 months
* Cuts storage costs and isolates environments with containers
* Expands customer base and reduces customer churn
* Enables analytics to understand customer preferences
* Boosts innovation with AI and ML managed services
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