PAID2STREAM
Technology Stack
power / speed / safety / scalability
Litespeed reverse proxy
Go big or go home! Webservers need to handle big data and when it comes down to it, there is only one technology that large companies wish they knew about before they built their platforms. Using a lower level integrated object caching system with Paid2Stream we achieve massive performance right from the start. As a developer who has spent years meticulously optimizing every single configuration file to squeeze performance on a system, there is no going back!

HTTP/2 Test Results
$: h2load -n 10000 -c 10 -t 1 -T 5 -m 10 -H 'Accept-Encoding: gzip,deflate' https://localhost/example
Server | Requests / Sec | MB / Sec | Failures | Header Compression |
---|---|---|---|---|
LiteSpeed | 55647 | 233.26 | 0 | 96.6% |
Nginx | 130.6 | 0.61 | 0 | 23.59% |
Apache | 109.1 | 0.48 | 0 | 78.54% |
- Please note: We usually run the h2load test with -c 100, but in this case there were too many errors occurring with nginx and Apache. We reduced -c to 10 for this reason.
- Test shows LiteSpeed Web Server is 426X faster than Nginx and 510X faster than Apache.
Testing Environment
Network: Traffic: 8.70 Gbits/sec Latency: 0.358 ms
Servers tested:
LiteSpeed Web Server v5.4.1
nginx v1.16.1
Apache v2.4.41.
P2S-JBase :
Version: 3.9.11
LSCache: LiteSpeed Cache
nginx Cache: System Page Cache
Apache Cache: System Page Cache
Client Machine
Memory Size: 991.09MB
CPU number: 1
CPU
Model: Virtual CPU 6db7dc0e7704
Disk: NVMe SSD
Server Machine
Memory Size: 991.09MB
CPU number: 1 CPU
Model: Virtual CPU 6db7dc0e7704
Disk: NVMe SSD

Lets talk REDIS!
Feature-rich, networked, in-memory query caching. Helping prevent database overloading and gain even more performance not only caching DB queries in memory but also handleling user sessions. With very fast non-blocking first synchronization, auto-reconnection partial resynchronization net splitting.RUST Programming

What we run on rust

Our streaming platform protocol is built in RUST! While our initial 3 implementations with different technologies were very promising, we have gained over 60% of CPU resources.


CPU and memory consumption is not our only victory with RUST, but so is our P2P peer to peer assisted delivery streaming tracker! We save up to 70% or more on bandwith usage using webtorrent technology, and RUST does all the heavy lifting!