A recent article highlights 14 essential case studies that reveal the strategies behind efficient and scalable systems in major tech companies.

By studying real-world architectures, the article promotes mastering system design quickly, showcasing how leading companies tackle scalability.

Instagram's remarkable growth to 2.5 billion users serves as a prime example of effective scaling practices in the tech industry.

When scaling applications to 10 million users on AWS, practical strategies such as load balancing and database optimization are crucial.

PayPal exemplifies efficiency by processing a billion transactions daily using only eight virtual machines through the Actor Model.

To prevent double payments, Stripe implements idempotent APIs, ensuring that identical requests yield a single action.

Tinder processes an astounding 1.6 billion swipes per day, leveraging efficient system design for real-time matching.

WhatsApp's engineering team manages to support 50 billion messages daily with just 32 engineers, focusing on simplicity and utilizing Erlang.

Cloudflare efficiently handles 55 million requests per second with only 15 PostgreSQL clusters, demonstrating robust internet-scale traffic management.

Amazon S3 achieves an impressive 99.999999999% durability through effective design principles and redundancy mechanisms.

Meta (formerly Facebook) ensures 99.99999999% cache consistency across its infrastructure, allowing users to receive up-to-date information.

Uber's sophisticated system processes one million location-based requests per second using geospatial indexing, while also handling 500,000 ETA requests per second.