Dumb article. Will save everyone a click:

1. lower level languages
2. higher/wider concurrency
3. faster auto-scaling

The same formula for every platform operating out there. What they don’t talk about is efficiency, which is always the most juicy part of these kinds of writeups. You can scale anything to do 50b messages with enough money and resources, but how efficient is it?

Will the 3rd one shock me? As always?

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WhatsApp’s ability to support 50 billion messages a day with only 32 engineers is a remarkable feat of engineering efficiency and resource optimization. Here are eight reasons why they were able to achieve this:

Focused and Lean Team: WhatsApp maintained a small, highly skilled engineering team, which fostered strong communication and quick decision-making. This lean structure allowed them to remain agile and focused on their core mission without the overhead of larger teams.

Efficient Coding Practices: The engineers at WhatsApp wrote highly efficient and optimized code, minimizing resource usage and maximizing performance. This focus on efficiency was crucial in handling the massive volume of messages without requiring a large team.

Robust Infrastructure: WhatsApp leveraged a robust and scalable server infrastructure. By using Erlang, a programming language designed for real-time systems, they built a reliable and fault-tolerant backend capable of handling high concurrency and uptime.

Automation and Monitoring: Extensive use of automation and monitoring tools allowed the small team to manage the infrastructure effectively. Automated alerts and self-healing systems minimized downtime and reduced the need for manual intervention.

Database Optimization: WhatsApp used highly optimized databases that could handle large amounts of data with minimal latency. Their choice of databases and efficient data storage solutions helped manage the vast number of messages smoothly.

Prioritizing User Experience: WhatsApp’s engineers prioritized a simple and intuitive user experience, which also meant less complex code. This simplicity reduced potential bugs and made the system easier to maintain.

Scalability from Day One: Scalability was a fundamental design principle from the outset. The architecture was designed to scale horizontally, allowing WhatsApp to add more servers seamlessly as the user base grew, without a proportional increase in engineering resources.

Strong Company Culture: WhatsApp fostered a culture of ownership and accountability. Each engineer had significant responsibility and was empowered to make impactful decisions. This culture ensured that every team member was highly productive and aligned with the company’s goals.

Through these strategies, WhatsApp was able to efficiently support a colossal volume of daily messages with a remarkably small team. This level of efficiency and optimization is akin to what companies like PicsArt https://picsartmodapk.download/ strive for, where innovation and user experience are paramount, allowing them to deliver high-quality services with a focused and agile team.

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