datacenter networking
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1 datacenter networking david swafford network engineer 8-OCT-2013 NANOG 59
2 + 7 PB each month for photos alone (as of Oct. 2012) 1.15B people (MAUs) Source: Facebook internal data, June M+ photos uploaded per day (on average in Q4 2012)
3 traffic growth
4 clusters a unit of compute
5 our clusters news feed advertising web messaging photos cache database
6 1 st generation clusters MPLS domain backbone Layer 3 Layer 2 cluster cluster n x 1Gb / first-gen 10Gb rack 1Gb ed uplinks
7 early challenges usable capacity Layer 2 scaling
8 2 nd generation MPLS domain backbone Layer 3 cluster cluster cluster cluster Layer 2 10Gb fiber rack 10Gb copper routed uplinks
9 BGP to the rack control scale no IGP
10 lots of intra-cluster traffic! Internet backbone web photos cluster cluster cluster cluster cluster cluster cluster cluster rack rack
11 the primary role of our backbone connects datacenters private / transit peering
12 growing pains backbone devices are too powerful for intra-dc needs
13 looking for a better way to scale
14 evolving backbone web news feed cluster cluster cluster cluster cluster cluster cluster cluster rack backend datacenter network rack
15 it works, why change? chassis break in obscure ways efficiency
16 3 rd generation Folded Clos datacenter-wide fabric fabric fabric fabric fabric fabric fabric fabric fabric rack
17 3 rd generation spine spine spine spine spine spine spine spine spine server pod fabric fabric fabric fabric rack fabric fabric fabric fabric
18 3 rd generation spine spine spine spine spine spine spine spine spine server pod rack server pod rack
19 scaling to a full datacenter pod spine pod plane pod pod spine
20 managing everything
21 approaching networking from a software mindset configuration C Programing auditing alerting remediating
22 frees up engineers to make greater impact learning automating sharing
23 deploying a cluster step engineer computer planning the port map physical installation generating configuration applying validating enabling for live traffic
24 FBAR engineers create audits and remediation scripts audits trigger alarms FBAR reacts to alarms
25 IX peering dropped BGP session syslog alarm attempt remediation, still down? No discard Yes escalate For more information, see Making Facebook Self-Healing
26 understanding the black box FABRIC INTERCONNECT SWITCH ASIC CP CPU L3 Tables L2 Tables PHY CTLR PHY CTLR PHY CTLR SFP SFP SFP SFP SFP SFP SFP SFP SFP SFP SFP SFP
27 troubleshooting the black box when a line-card goes crazy how do you even know about it? never trust the box!
28 monitoring everything all links / BGP sessions FIBs TCP retransmit stats
29 a culture of automation filter noise in software automate the repetitive engineers focus on real problems
30 our rack es
31 the problem install and forget configuration drift inconsistent IPv6 support
32 IPv6 everywhere! for real! every rack in 2013 all services in early 2014 why? IPv4 won t last forever Band-Aids are not fun to troubleshoot and it s really cool! 2a03:2880:2110:df07:face:b00c:0:1
33 rolling out IPv6 dual-stacked backbone and cluster es rack upgrades service migration
34 the old way to upgrade a cluster coordinate an outage window with affected service owners drain traffic upgrade
35 the difficulty lots of service owners news feed advertising web messaging photos cache database
36 we needed a change. why drain? why a single window? why is NetEng so heavily involved?
37 looking at an early attempt blacklist racks by hostnames, upgrade the rest
38 how we solved it dedicated racks? shift the responsibility to the service owner shared racks? schedule every rack under full automation
39 dedicated racks shift the responsibility? real world less time on all sides! empowered service owners moved from user to customer we re friends now!
40 focused on a smooth user experience single button upgrades detailed reporting from the start easy job management
41 shared racks schedule every rack? accurate timing and notification some services need to be drained why not? software will do the work anyway
42 where are we now? service owners handling rack upgrades! a network that constantly upgrades itself!
43 how? Aggiornamento! client / server model based on Thrift runs on Linux, written in Python, backed by MySQL integrates across all internal systems: impact analysis and notification scheduling job management
44 automate your day job! focus on the impossible!
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