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Kafka et Storm au service
de la lutte antiDDoS à OVH
Steven Le Roux
Infrastructure Engineer
OVH.com
FinistJUG
29 Oct 2014
OVH Anti-DDoS
VAC
10
3 Tbps 17 Datacenters
32 PoPs
20
Data Pipeline
Clients
Producers
Consumers
Brokers
Topics
Partitions
Replicas
/ kafka
/ kafka / topic
/ kafka / topic / replicas
/ kafka / topic / replicas / factor / 3
/ kafka / topics
/ kafka
/ kafka
/ kafka / producers
Stream Processing
Topology (DAG)
Spouts
Bolts
Tuples
Fields
Cluster
Nimbus
Supervisors
Workers
/ storm
/ storm / tuple
field
/ storm / tuple
{field1, field2,…,fieldn}
/ storm / tuple
{field1, field2,…,fieldn}Bolt Bolt
/ storm / topology
/ storm / topology / antiddos
Stream Grouping
Shuffle Grouping Field Grouping
Direct Grouping Other Grouping
/ storm
Attacks
Router Grouping
Scans
IP src Grouping
/ storm
Attacks
≈ 1s
Scoring
Filters
Burst
Scans
IP
Proto
/ storm
Indexing
Prooving
Producing
/ storm / event
#lifecycle
#dataviz
Nice speech…
… so what ?
False positives
Strange behaviours from customers
e.g. DB sync without connection pool
Application centric
i.e. UDP protocols
#issues
Add other sources
Application Anti-DDoS
Game
Half Life/Source
CS:GO
TeamSpeak / Mumble
GTA
SA:MP
…
More to come (any special need ?)
#solutions
#datalake
Nodes - Hardware
CPU 16c/32t
RAM 256GB
Disks :
OS : Raid 1
Data : 10 disks
per node
200 MB/s ~ 1,5-2 Gbps
#hardware
Kafka
I/O bound
Bench (1node)
1M+ msg/s
No compression
No ackers
80MB/s
Tuning
num.io.thread
num.network.thread
socket.*.buffer.*
Storm
CPU/RAM bound
M+ tuples/s
No ackers
Break SRP
Minimal workers
Avoid transfer buffer
#config
OpenSOC
Clément Sciascia - @csciasci
Magnus Edenhill - @edenhillm
https://github.com/edenhill/librdkafka
LinkedIn - Apache Kafka
Nathan Marz - Apache Storm
#Thanks
#moreStorm basic training – Mickael G. Noll
http://fr.slideshare.net/miguno/apache-storm-09-basic-training-verisign
Kafka documentation
Thanks
Steven LE ROUX
@StevenLeRoux
steven.le-roux@ovh.net

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