Sistem Terdistribusi Tokopedia

Summary

Tokopedia, one of Indonesia's largest e-commerce platforms, uses a distributed system to efficiently serve millions of users and thousands of sellers. Its architecture includes a Front-End for web and mobile users, powered by technologies like React Native and PWA. The Back-End consists of services like MySQL, MongoDB, Apache Kafka for messaging, and transaction processing. Load balancing, caching with Redis and Memcached, and microservices architecture enhance system performance. With Docker, Kubernetes, and real-time monitoring tools like Prometheus, Tokopedia ensures smooth operations and rapid issue resolution, providing a seamless experience for both users and sellers.

Takeaways

• 😀 Tokopedia is one of the largest e-commerce platforms in Indonesia, serving millions of users and thousands of sellers.
• 😀 The platform uses a distributed system to serve users and sellers quickly and efficiently, incorporating multiple key components.
• 😀 The Front-End of Tokopedia consists of web pages built with HTML, CSS, and JavaScript, and a mobile app built with React Native.
• 😀 Tokopedia leverages technologies like Progressive Web Apps (PWA) and Single Page Applications (SPA) to improve load times and user experience.
• 😀 The Back-End architecture of Tokopedia consists of several distributed services, each with specific roles and responsibilities.
• 😀 Tokopedia uses various database services such as MySQL, MongoDB, Cassandra, and Redis to store user and product data.
• 😀 Apache Kafka is used as the messaging service to send and receive messages between services asynchronously, improving system response times.
• 😀 Load Balancers like Nginx and Apache are used to distribute workloads across multiple servers, preventing overloading and ensuring smooth performance.
• 😀 Caching layers, such as Redis and Memcached, store temporary data in memory, reducing database load and enhancing application performance.
• 😀 Tokopedia employs a Microservices architecture, breaking the system into smaller, independent parts for easier development and maintenance.
• 😀 Technologies like Docker and Kubernetes are used to manage and run application containers efficiently, while Prometheus and Grafana monitor the system in real-time to identify and address issues quickly.

Q & A

What is Tokopedia?

Tokopedia is one of the largest e-commerce platforms in Indonesia, serving millions of users and thousands of sellers.

How does Tokopedia ensure fast and efficient service for its users and sellers?

Tokopedia uses a distributed system, consisting of various components like Front-End, Back-End, Load Balancer, Caching Layer, and Message Broker to ensure fast and efficient services.

What technologies are used in the Front-End of Tokopedia?

The Front-End of Tokopedia consists of various web pages built with HTML, CSS, and Javascript, as well as mobile applications primarily using React Native. Additionally, Tokopedia utilizes Progressive Web Apps (PWA) and Single Page Applications (SPA) to improve load times and user experience.

What is the role of the Back-End in Tokopedia's distributed system?

The Back-End consists of several distributed services, each responsible for specific tasks like data storage, messaging, transaction processing, and more. Key services include databases (MySQL, MongoDB, Cassandra, Redis), messaging systems (Apache Kafka), and transaction processing services.

What types of databases are used in Tokopedia's system?

Tokopedia uses multiple databases including MySQL, MongoDB, Cassandra, and Redis for storing user and product data.

How does Tokopedia handle messaging between its services?

Tokopedia uses Apache Kafka as a messaging service to send and receive messages asynchronously between various Back-End services. This allows services to operate independently and improves system responsiveness.

What is the purpose of a Load Balancer in Tokopedia's system?

A Load Balancer in Tokopedia's system distributes workload across multiple servers to prevent overloading of a single server, ensuring consistent and efficient application performance. Tokopedia uses technologies like Nginx and Apache for load balancing.

How does the Caching Layer improve performance in Tokopedia's system?

The Caching Layer stores temporary data in memory to reduce the load on databases and enhance the application's performance. Tokopedia uses Redis and Memcached for caching data.

What is the role of a Message Broker in Tokopedia's distributed system?

The Message Broker in Tokopedia’s system, using Apache Kafka, facilitates the sending and receiving of messages between services. It ensures data consistency across services and handles a large volume of messages.

How does Tokopedia utilize Microservices architecture?

Tokopedia uses a Microservices architecture to break down the system into smaller, independent components. Each service has a specific responsibility, making development and maintenance easier. This approach also allows for faster addition of new services or modifications to existing ones.

What tools does Tokopedia use to manage application containers?

Tokopedia uses Docker and Kubernetes to manage and run application containers more efficiently, simplifying deployment and scalability.

How does Tokopedia monitor its system's health and performance?

Tokopedia uses real-time monitoring tools like Prometheus and Grafana to identify issues quickly and take corrective actions, ensuring smooth system operations.