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Technologies

In this system design document, we'll delve into the technological aspects of our Livestream Betting Platform, with a focus on key elements that ensure performance, reliability, and scalability.

Caching Strategies​

Redis Caching: Redis plays a central role in our platform by serving as an in-memory data store. It's utilized for real-time updates and ensuring rapid data retrieval. Here's how it contributes to our system:

  • Real-time Data Updates: Redis excels in handling dynamic data, such as live challenge updates, user balances, and chat messages. Its speed and low-latency performance make it a cornerstone for real-time interactivity.

  • Optimizing Database Load: By reducing the load on our primary databases, such as PostgreSQL and MongoDB, Redis helps maintain optimal performance, scalability, and responsiveness.

Client-Side Caching: To further enhance the user experience, we implement client-side caching. Here's how it benefits our platform:

  • Reducing Page Load Times: Client-side caching stores static assets on users' devices, reducing the need for repeated requests to our servers. This speeds up page loading and enhances overall user experience.

  • Minimizing Bandwidth Usage: By caching assets like images, stylesheets, and JavaScript on the client side, we lower the amount of data transferred, optimizing bandwidth usage.

High Availability Cloud Deployments​

Cloud Infrastructure: Our platform leverages high availability cloud deployments on leading providers like AWS, Azure, or GCP. These deployments ensure the system remains operational even during unexpected events. Key aspects include:

  • Redundancy: Deploying resources across multiple availability zones or regions to ensure redundancy and failover capabilities in case of service disruptions.

  • Load Balancing: Implementing load balancers to distribute incoming traffic across multiple instances for optimized resource utilization.

  • Scalability: Utilizing auto-scaling configurations to automatically adjust resource allocation based on traffic and demand, ensuring smooth performance during peak times.

Monitoring & Alerting​

Comprehensive Monitoring: Our platform is equipped with a robust monitoring system to ensure performance and reliability. Key monitoring elements include:

  • Performance Metrics: Tracking system performance, such as CPU and memory usage, database response times, and network latency, to identify bottlenecks and performance issues.

  • Error and Exception Monitoring: Monitoring error logs and exceptions in real time to detect and resolve issues proactively.

  • User Activity and Engagement: Collecting data on user activities, including challenge acceptance, bets placed, and chat interactions, to understand user behavior and engagement.

Alerting System: In conjunction with monitoring, our alerting system ensures timely responses to potential issues:

  • Threshold Alerts: Configuring alert thresholds for performance metrics, and notifying the operations team when these thresholds are breached.

  • Anomaly Detection: Utilizing machine learning algorithms to identify unusual patterns or anomalies in system behavior, and generating alerts when anomalies are detected.

  • Incident Escalation: Implementing an escalation process to ensure that critical issues are promptly addressed by the appropriate team members.

In conclusion, our technological focus on caching, high availability cloud deployments, and monitoring & alerting provides the backbone for a highly performant, reliable, and scalable Livestream Betting Platform. These elements work together to create a responsive, engaging, and secure environment for both streamers and users, ensuring a seamless experience during esports livestreams.

Tech Stack​

Front-end: Next.js

Next.js is a React framework that allows developers to build fast and scalable web applications. It provides a number of features that make it ideal for esports wagering sites, including:

  • Server-side rendering: Next.js can render pages on the server, which can improve performance and SEO.
  • Static site generation: Next.js can generate static HTML files, which can be served directly to users without the need for a server. This can further improve performance and scalability.
  • Incremental static regeneration: Next.js can incrementally regenerate static files when data changes, which allows you to keep your site up-to-date without sacrificing performance.

Back-end: Go (REST API)

Go is a programming language that is known for its speed, simplicity, and reliability. It is a good choice for developing the back-end of an esports wagering site because it can handle a high volume of traffic and transactions.

The back-end API will be implemented as a REST API. REST APIs are easy to use and understand, and they are supported by a wide range of programming languages and frameworks.

Cache: Redis

Redis is an in-memory data structure store that can be used to cache frequently accessed data. This can improve the performance of the esports wagering site by reducing the number of database queries that need to be made.

Message Queue: Optional (SquirrelMQ or Kafka)

A message queue is a way to decouple different components of a system. It can be used to implement asynchronous communication between the front-end and back-end of the esports wagering site.

SquirrelMQ and Kafka are two popular message queues that you may want to consider using. SquirrelMQ is a lightweight message queue that is easy to set up and manage. Kafka is a more powerful message queue that is designed for high-throughput and low-latency applications.

Database: PostgreSQL or Cassandra

PostgreSQL and Cassandra are two popular databases that you may want to consider using for the esports wagering site. PostgreSQL is a relational database that is known for its reliability and scalability. Cassandra is a NoSQL database that is known for its performance and scalability.

REST Calls and Socket Communications

REST calls are a way to communicate with a REST API. They are typically made using the HTTP protocol. REST calls are used to request data from the API, or to submit data to the API.

Socket communications are a way to establish a real-time connection between two devices. This allows the devices to exchange data without having to make individual HTTP requests.

Socket communications can be used to implement a number of features in an esports wagering site, such as:

  • Real-time updates on match results and odds
  • In-game betting