LinkedIn’s API infrastructure
LinkedIn’s API infrastructure is a complex network designed to handle millions of data requests every day. This system is crucial for supporting the diverse needs of users and third-party applications. The infrastructure is carefully crafted to ensure efficiency, security, and scalability.
- Layered Architecture: LinkedIn employs a layered architecture to handle millions of API calls efficiently.
- Global Data Centers: At the base, multiple global data centers store and process vast amounts of data. These data centers are interconnected using high-speed networks for rapid data transfer.
- Server Clusters: Each center hosts a cluster of servers that are optimized for speed and reliability. The servers are equipped with modern hardware that ensures high-performance operations.
- Virtualization Technologies: Above the hardware layer, virtualization technologies maximize resource utilization and scalability.
- Load Balancing: Load balancers distribute incoming API requests evenly across server clusters. This distribution helps prevent any single server from becoming a bottleneck.
- Redundancy: Redundancy is built into every layer to ensure continuous service during hardware failures.
- Advanced Monitoring Systems: Advanced monitoring systems track the health and performance of the entire infrastructure.These systems provide real-time alerts to prevent and quickly resolve potential issues.
How LinkedIn Authorizes 10 Million API Calls Per Second?
LinkedIn has millions of users today, so it manages 10 million API calls per second. This is achieved through advanced authorization systems and scalable architecture and this showcases its robust technological infrastructure. The platform uses distributed caching, rate limiting, and throttling to maintain efficiency and reliability. Each component, from token management to API gateways, is tailored to ensure secure and swift data handling. In this article, we will explore the strategies used to authorizes 10 Million API Calls Per Second.
Table of Content
- LinkedIn’s API infrastructure
- Importance of Efficient Authorization for High-Volume API Calls
- Evolution of LinkedIn’s Infrastructure to meet growing demands
- Scalability considerations in designing authorization systems
- Key components and their roles in the authorization flow of LinkedIn
- Token Management
- Rate Limiting and Throttling