How do you handle a million requests per second?
Default Frontend Optimization
- Use cache headers in your responses (Etag, cache and so on)
- Store all static data on CDN if you can.
- Optimize your images using tinypng service.
- Inspect your javascript libraries.
- Gzip all HTML/js/CSS content.
- Try to reduce the number of requests to 3rd party services.
How many requests per second can go handle?
The from-the-box number of open connections for most servers is usually around 256 or fewer, ergo 256 requests per second. You can push it up to 2000-5000 for ping requests or to 500-1000 for lightweight requests.
How can I improve my requests per second?
Reducing the think time added after each page in a script; the minimum pause is 5 seconds, so set both min & max to 5 seconds. Increasing the number of concurrent users. Reducing the response time from your server which decreases the time LoadStorm has to wait for a request to complete.
How many requests per second can a database handle?
So, it is 50K requests per second. One of the best databases on the market, tuned by probably the best database people on earth can only provide 50K requests per second on a single CPU core. 50K vs. 2 million: The difference is 40 times as compared with std::unordered_map. How do you like that?!
How many requests per second can MariaDB handle?
It was MariaDB running on a 20-core machine. See details here. So, it is 50K requests per second. One of the best databases on the market, tuned by probably the best database people on earth can only provide 50K requests per second on a single CPU core.
What kind of server do I need to handle 10 million requests and?
I have a low end dedicated MySQL server (Intel Core2 Duo E4600 2.40 GHz, 4 GB RAM) serving an average of 100 requests/sec (close to 10 million/day) with a CPU idle rate of 90%. Other than some basic tweaks to the configuration it is running well due to being read heavy (+95% reads) and the active record set is easily contained in memory.
How to serve billions of web requests per day?
Systems such as Aerospike, Redis, and Memcached are used for the caching layer. Beyond that, a rich set of analytics, reporting, data warehousing, and data science functions need to be able to access different types of databases.