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How to scale socket.io & node.js app
I have a node.js app which runs currently on the smallest droplet available. I am about to use socket.io for real time updates, e.g. for chat, in-app notifications etc. I have now come to the conclusion that I can have a couple hundred concurrent connections. I use Artillery to test the connections:
config: target: "https://my.server.com" socketio: - transports: ["websocket"] // optional, same results if I remove this phases: - duration: 600 arrivalRate: 20 scenarios: - name: "A user that just connects" weight: 90 engine: "socketio" flow: - get: url: "/" - think: 600
After a couple hundred connections I receive the following error:
Errors: ECONNRESET: 1 Error: xhr poll error: 12
Then, when I resize the droplet (temporarily) to 8 vCPU’s and 32 GB RAM, I can have upwards to 1.700 concurrent connections. No matter how much more I resize the hardware, it’s stuck on this number.
So, how can I increase this number? How can I allow more concurrent connections into socket.io using node.js? My configuration looks like this:
fs.file-max = 2097152 vm.swappiness = 10 vm.dirty_ratio = 60 vm.dirty_background_ratio = 2 net.ipv4.tcp_synack_retries = 2 net.ipv4.ip_local_port_range = 2000 65535 net.ipv4.tcp_rfc1337 = 1 net.ipv4.tcp_fin_timeout = 15 net.ipv4.tcp_keepalive_time = 300 net.ipv4.tcp_keepalive_probes = 5 net.ipv4.tcp_keepalive_intvl = 15 net.core.rmem_default = 31457280 net.core.rmem_max = 12582912 net.core.wmem_default = 31457280 net.core.wmem_max = 12582912 net.core.somaxconn = 4096 net.core.netdev_max_backlog = 65536 net.core.optmem_max = 25165824 net.ipv4.tcp_mem = 65536 131072 262144 net.ipv4.udp_mem = 65536 131072 262144 net.ipv4.tcp_rmem = 8192 87380 16777216 net.ipv4.udp_rmem_min = 16384 net.ipv4.tcp_wmem = 8192 65536 16777216 net.ipv4.udp_wmem_min = 16384 net.ipv4.tcp_max_tw_buckets = 1440000 net.ipv4.tcp_tw_reuse = 1
core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 3838 max locked memory (kbytes, -l) 16384 max memory size (kbytes, -m) unlimited open files (-n) 65535 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) 8192 cpu time (seconds, -t) unlimited max user processes (-u) 10000000 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited
So first up: is there any way to increase the concurrent connections on a single droplet?
Second of all, I am considering spinning up different droplets and proxy them to allow more connections. I have read up about this for two days now, and I would go with Redis and nginx to proxy different connections to different node instances. Redis would make sure they are all connected to each other. However, I can’t figure out how this would work in practice. Should I have, let’s say, 4 different droplets running all the same configuration and all the same node.js app (server.js)? So would I basically upload the app 4 times? Any advice regarding this is more than welcome.
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