jm + lbs   5

HN thread on the new Network Load Balancer AWS product
looks like @colmmacc works on it. Lots and lots of good details here
nlb  aws  load-balancing  ops  architecture  lbs  tcp  ip 
9 days ago by jm
consistent hashing with bounded loads
'an algorithm that combined consistent hashing with an upper limit on any one server’s load, relative to the average load of the whole pool.'

Lovely blog post from Vimeo's eng blog on a new variation on consistent hashing -- incorporating a concept of overload-avoidance -- and adding it to HAProxy and using it in production in Vimeo. All sounds pretty nifty! (via Toby DiPasquale)
via:codeslinger  algorithms  networking  performance  haproxy  consistent-hashing  load-balancing  lbs  vimeo  overload  load 
5 weeks ago by jm
Maglev: A Fast and Reliable Software Network Load Balancer
Maglev is Google’s network load balancer. It is a large distributed software system that runs on commodity Linux servers. Unlike traditional hardware network load balancers, it does not require a specialized physical rack deployment, and its capacity can be easily adjusted by adding or removing servers. Network routers distribute packets evenly to the Maglev machines via Equal Cost Multipath (ECMP); each Maglev machine then matches the packets to their corresponding services and spreads them evenly to the service endpoints. To accommodate high and ever-increasing traffic, Maglev is specifically optimized for packet processing performance. A single Maglev machine is able to saturate a 10Gbps link with small packets. Maglev is also equipped with consistent hashing and connection tracking features, to minimize the negative impact of unexpected faults and failures on connection-oriented protocols. Maglev has been serving Google's traffic since 2008. It has sustained the rapid global growth of Google services, and it also provides network load balancing for Google Cloud Platform.


Something we argued for quite a lot in Amazon, back in the day....
google  paper  scale  ecmp  load-balancing  via:conall  maglev  lbs 
february 2016 by jm
Seesaw: scalable and robust load balancing from Google
After evaluating a number of platforms, including existing open source projects, we were unable to find one that met all of our needs and decided to set about developing a robust and scalable load balancing platform. The requirements were not exactly complex - we needed the ability to handle traffic for unicast and anycast VIPs, perform load balancing with NAT and DSR (also known as DR), and perform adequate health checks against the backends. Above all we wanted a platform that allowed for ease of management, including automated deployment of configuration changes.

One of the two existing platforms was built upon Linux LVS, which provided the necessary load balancing at the network level. This was known to work successfully and we opted to retain this for the new platform. Several design decisions were made early on in the project — the first of these was to use the Go programming language, since it provided an incredibly powerful way to implement concurrency (goroutines and channels), along with easy interprocess communication (net/rpc). The second was to implement a modular multi-process architecture. The third was to simply abort and terminate a process if we ended up in an unknown state, which would ideally allow for failover and/or self-recovery.
seesaw  load-balancers  google  load-balancing  vips  anycast  nat  lbs  go  ops  networking 
january 2016 by jm
Patrick Shuff - Building A Billion User Load Balancer - SCALE 13x - YouTube
'Want to learn how Facebook scales their load balancing infrastructure to support more than 1.3 billion users? We will be revealing the technologies and methods we use to route and balance Facebook's traffic. The Traffic team at Facebook has built several systems for managing and balancing our site traffic, including both a DNS load balancer and a software load balancer capable of handling several protocols. This talk will focus on these technologies and how they have helped improve user performance, manage capacity, and increase reliability.'

Can't find the standalone slides, unfortunately.
facebook  video  talks  lbs  load-balancing  http  https  scalability  scale  linux 
june 2015 by jm

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