omg! such mind-blowing and world-changing ideas like “they didn’t reinvent the wheel” and “The bottlenecks were identified and eliminated.”
i feel like i am at the mlm presentation. seriously, if you want to “learn more” invest the 6 minutes of your life better.
I expect better from major publications like newsletter.systemdesign.one
Not even a .pizza domain, it’s clearly second rate
I like how “Don’t reinvent the wheel” is almost immediately followed by “they rewrote some of the core components to fit their needs”. Isn’t that basically reinventing the wheel with a few extra steps?
More a redesign the wheel.
I think it’s a case of “easier said than done”
Dumb article. Will save everyone a click:
- lower level languages
- higher/wider concurrency
- 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?
It’ll shock you, on whether it shocks you or not.
pikachu face
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.
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WhatsApp’s ability to support 50 billion messages a day with only 32 engineers can be attributed to several factors:
Efficient Codebase: WhatsApp has a highly optimized codebase, allowing it to handle large volumes of messages with minimal resources. The engineers have likely focused on writing clean, efficient code that maximizes performance and minimizes resource usage.
Scalable Architecture: WhatsApp’s architecture is designed to scale horizontally, allowing it to handle increasing loads by adding more servers or resources as needed. This scalability ensures that the platform can accommodate the growing number of messages without sacrificing performance.
Robust Infrastructure: WhatsApp likely has a robust infrastructure in place, including data centers located strategically to minimize latency and ensure high availability. This infrastructure is designed to handle massive amounts of traffic while maintaining reliability and stability.
Smart Resource Allocation: The engineering team at WhatsApp likely employs smart resource allocation techniques, such as load balancing and resource pooling, to ensure that resources are utilized efficiently and effectively. This allows them to handle large volumes of messages with a relatively small team.
Automated Systems: WhatsApp likely leverages automation wherever possible to streamline operations and reduce the need for manual intervention. Automated systems can handle routine tasks such as server provisioning, monitoring, and maintenance, freeing up engineers to focus on more critical issues.
Continuous Optimization: The engineering team at WhatsApp is likely constantly optimizing the platform to improve performance, scalability, and efficiency. This continuous optimization ensures that WhatsApp can handle increasing message volumes without experiencing degradation in service quality.
Focus on Core Features: FM WhatsApp Update may prioritize the development and maintenance of core features that directly contribute to its messaging functionality. By focusing on what matters most to users, WhatsApp can allocate its engineering resources more effectively and efficiently.
Talent and Experience: Finally, WhatsApp likely has a team of highly talented and experienced engineers who are experts in their respective fields. With the right talent and experience, WhatsApp can overcome technical challenges and achieve impressive feats like supporting 50 billion messages a day with a relatively small team.
These factors combined allow WhatsApp to support such a massive volume of messages with only 32 engineers, showcasing the company’s technical prowess and dedication to providing a seamless messaging experience for its users
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