How Netflix tunes Ubuntu on EC2

One of the nice things about having Netflix running Ubuntu is that the community can take advantage of the lessons they learn about running services at scale.

I had the pleasure of attending Brendan Gregg’s Linux Profiling at Netflix talk at SCALE13x and afterwards he gave me a list of things that Netflix did to Ubuntu to meet their needs. A bunch of it was bug reports, things like this Xen issue, and other fixes that have since been incorporated into 14.04 and our cloud images. Afterwards, Brendan did a follow up talk on how Netflix tunes their instances.

WARNING: These tunables were developed in late 2014, for Ubuntu 14.04 on EC2. They are meant to be shared as a baseline for you to experiment with, don’t consider these production-ready without proper testing, etc.


schedtool –B PID

Virtual Memory

vm.swappiness = 0 # from 60

Huge Pages

# echo never > /sys/kernel/mm/transparent_hugepage/enabled # from madvise

File System

vm.dirty_ratio = 80 # from 40
vm.dirty_background_ratio = 5 # from 10
vm.dirty_expire_centisecs = 12000 # from 3000
mount -o defaults,noatime,discard,nobarrier …

Storage I/O

/sys/block/*/queue/rq_affinity 2
/sys/block/*/queue/scheduler noop
/sys/block/*/queue/nr_requests 256
/sys/block/*/queue/read_ahead_kb 256
mdadm –chunk=64 ...


net.core.somaxconn = 1000
net.core.netdev_max_backlog = 5000
net.core.rmem_max = 16777216
net.core.wmem_max = 16777216
net.ipv4.tcp_wmem = 4096 12582912 16777216
net.ipv4.tcp_rmem = 4096 12582912 16777216
net.ipv4.tcp_max_syn_backlog = 8096
net.ipv4.tcp_slow_start_after_idle = 0
net.ipv4.tcp_tw_reuse = 1
net.ipv4.ip_local_port_range = 10240 65535
net.ipv4.tcp_abort_on_overflow = 1 # maybe

Hypervisor (Xen)

echo tsc > /sys/devices/system/clocksource/clocksource0/current_clocksource

Here are the accompanying slides to the talk.

Where to test?

As Greg mentions, it would be silly for everyone to just take these settings and blindly run them. Just because setting X works for Netflix doesn’t necessarily mean it will work for you. This is why we’ve set up, where the community can submit benchmarks of complex deployed systems, and then compare them across clouds.

Take a service you care about, run it with stock Ubuntu, and then run it with these settings, then start iterating and tweaking, share your results, and then, most importantly, start the discussion about performance with your peers.

Many thanks to Brendan and Netflix for sharing their Devops expertise with us!

About the author

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Jorge has been working on Ubuntu since 2004 and is currently helping devops organizations get up and running on Kubernetes , an open-source system for automating deployment, scaling, and management of containerized applications.

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