Customer Company Size
Large Corporate
Region
- Asia
Country
- India
Product
- Akka Platform
- Lightbend Telemetry
Tech Stack
- Reactive Architecture
- Microservices
- AWS Integration
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Application Infrastructure & Middleware - Middleware, SDKs & Libraries
Applicable Industries
- Software
- E-Commerce
Applicable Functions
- Business Operation
Services
- Software Design & Engineering Services
- System Integration
- Training
About The Customer
Dream11 is India's largest fantasy sports platform, boasting over 80 million users who engage in fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, and baseball. The platform allows sports fans to create their own teams of real-life players from upcoming matches, score points based on their on-field performance, and compete with other fans. Dream11 has experienced tremendous growth since its inception, with a user base that expanded from 1 million in 2014 to over 80 million by the end of 2019. The platform is known for amplifying fan engagement with sports, offering a unique way for fans to showcase their knowledge and passion for the sports they love. Dream11's success is attributed to its ability to create a dynamic and interactive experience for sports enthusiasts, making it a leading player in the fantasy sports industry.
The Challenge
Dream11, India's largest fantasy sports platform, faced significant challenges due to its rapid growth from 1 million users in 2014 to over 80 million by 2019. The platform's original application architecture struggled to handle the massive spikes in user traffic, especially during peak times leading up to real-world sporting events. This resulted in users being unable to register for contests or being kicked out of the registration process. Additionally, the system strained to ensure contests did not exceed the maximum number of participants, leading to cancellations and refunds, which weakened customer loyalty. Dream11 required a highly elastic, self-healing system that could scale with increasing demand, integrate seamlessly with AWS, and reliably adapt to predicted growth. The challenge was to implement this solution before the Indian Premier League season, a peak period for Dream11, to avoid significant revenue loss.
The Solution
Dream11 adopted a Reactive Architecture to address its challenges, choosing the Akka Platform by Lightbend to remove backend complexity and deliver self-healing microservices resilient to failure and capable of effortless scaling. This allowed Dream11 to focus on building business logic while leveraging powerful backend capabilities. Support from Embedded Lightbend Engineers (ELEs) accelerated the adoption of the Akka Platform, with ELEs providing training to internal teams for future platform expansion. The Akka Platform enabled Dream11 to efficiently leverage resources, scale to meet participant demands, and scale back down after processing customers into contests. Additionally, Dream11 implemented Lightbend Telemetry for quick identification and resolution of application bottlenecks, creating a highly tuned, massively performant application. The solution was implemented one month ahead of schedule, significantly improving performance and user experience.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.

Case Study
IFFCO Boosts IT Performance and Innovates Agriculture with Oracle Cloud
Indian Farmers Fertiliser Cooperative Ltd. (IFFCO), the world’s largest manufacturer and marketer of fertilizers in the cooperative sector, was facing several challenges in its quest to innovate and improve the livelihood of farmers in India. The organization had recently launched a new product, nano urea, which brought new demands to IFFCO’s cloud computing needs. The organization needed a reliable cloud vendor to support the processes of 6–7 new manufacturing plants during the upcoming year, enhancing its production capability 300–350 million bottles of nano urea to meet increasing demand. IFFCO’s cloud adoption was driven by a need to innovate. The organization wanted capabilities for a dynamic business that can adapt to the changing needs of the market while growing fast. However, it was inhibited by rigid on-premises data center deployments and the overhead of maintaining legacy systems. IFFCO wanted to apply the elasticity and availability of cloud for improving overall performance of applications at lowest possible operational overhead. Lastly, IFFCO needed to provide the benefits of its technology to all its stakeholders, including employees, members, transporters, and farmers, some of whom have limited literacy. To accommodate all stakeholders, IFFCO wanted to add a voice interface to its applications.
Case Study
7-Eleven Philippines Enhances Customer Support with Freshdesk
7-Eleven Philippines, a pioneer of 24-hour convenience stores in the country, was facing challenges with its customer support system. The customer support was outsourced to an external vendor, which resulted in limited visibility into customer query patterns and performance metrics. The company had no transparency into the vendor's analytics and could not validate their reports. They also had no visibility into the volume of calls, number of abandoned calls, etc. due to the use of the vendor’s telephony solution. This lack of control and visibility into customer support led the team to decide to bring the entire function in-house. They began exploring helpdesk solutions that would enable them to build a strong in-house support team.

Case Study
Cloud4com: Delivering Efficient and Secure SAP HANA Cloud Services
Cloud4com, a leading provider of IT infrastructure and data center services, recognized the challenges and costs companies face when upgrading their on-premises infrastructure to meet the demands of SAP HANA in-memory technology. With the introduction of SAP HANA and SAP's decision to end support for all other databases from 2025, Cloud4com saw an opportunity to expand its services to a larger customer base. However, SAP HANA is a resource-intensive technology that requires companies to deploy powerful and costly hardware platforms. Businesses often overspecify the hardware, resulting in underutilization within the software's lifecycle. To capitalize on the opportunity presented by SAP HANA, Cloud4com aimed to create a cost-effective cloud platform for HANA and began working on obtaining the SAP Tailored Datacenter Integration (TDI) certification. A critical element was selecting the right operating system that would meet SAP’s standards and maximize the availability and performance of their customers’ SAP landscapes.
Case Study
BrewDog's Customer-Centric Approach in Times of Uncertainty
BrewDog, a Scottish-born craft beer business, faced a significant challenge during the COVID-19 pandemic. With their bars closed, the company saw a surge in online orders and customer inquiries. The customer service team, which handles all e-commerce customers and general brand-related queries, was overwhelmed with the sudden increase in activity. The team was dealing with up to 2000 tickets a day during the lockdown, a significant jump from the usual 150-200 tickets. The fast-paced nature of BrewDog's operations, with new projects and initiatives launching daily, further complicated the situation. The company's existing processes, which were fairly manual, were not equipped to handle this surge in volume. The challenge was to quickly adapt and streamline their customer service operations to continue providing excellent service during these uncertain times.

Case Study
Global Timeshare Company Accelerated Its Digital Marketing and E-commerce Engine
The client's go-to-market teams weren't accustomed to attracting new buyers in the digitally networked world. These prospects come from an evolving demographic — millennials and Gen Z who were increasingly adopting the new ways of evaluating options online and making reservations.There were three key challenges that the client was facing.Outdated and aging systems (legacy core)Inadequate web presence and e-Lack of predictive customer understanding and analytics