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Kafka Summit| {13,14}-05-2019
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High speed
connection
Datacenter A Datacenter B
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+( = Mimecast Apache Flume version )
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Consumers & Producers
+( = Mimecast Apache Flume version )
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High speed
connection
Datacenter A Datacenter B
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https://kafka.apache.org/documentation/#datacenters
“It is generally not advisable to run a single Kafka cluster that spans multiple
datacenters over a high-latency link. This will incur very high replication latency both for
Kafka writes and ZooKeeper writes, and neither Kafka nor ZooKeeper will remain
available in all locations if the network between locations is unavailable.”
Multi-datacenter guidance
14
https://kafka.apache.org/documentation/#datacenters
“It is generally not advisable to run a single Kafka cluster that spans multiple
datacenters over a high-latency link. This will incur very high replication latency both for
Kafka writes and ZooKeeper writes, and neither Kafka nor ZooKeeper will remain
available in all locations if the network between locations is unavailable.”
Multi-datacenter guidance
3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments
Yeva Byzek (https://www.confluent.io/blog/3-ways-prepare-disaster-recovery-multi-datacenter-apache-kafka-deployments)
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Datacenter A Datacenter B
High speed
connection
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Datacenter A Datacenter B
High speed
connection
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Datacenter A Datacenter B
High speed
connection
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min.insync.replicas =
(NUMBER_OF_BROKERS / 2) + 1
19
default.replication.factor=
NUMBER_OF_BROKERS
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offsets.topic.replication.factor =
NUMBER_OF_BROKERS
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transaction.state.log.replication.factor =
NUMBER_OF_BROKERS
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?
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• Under Replicated Partitions
• Offline Partitions
• Active Controller
• Failed Fetch Requests/Produce
• Open File Descriptors
• ISR Shrinks and Expand
• Offline Log Directory
Brokers
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• Zookeeper quorum size
• Leader Active
• Outstanding requests
• Active connections
• Open File Descriptors
• Latency
Zookeeper
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• LAG
• All consumers alive
• Processing time
• Request size
Consumers
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• num.network.threads
(The number of threads that the server uses for receiving requests
from the network and sending responses to the network. Default 3)
Brokers
produce-fetch
requests
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• num.io.threads
(The number of threads that the server uses for processing
requests, which may include disk I/O. Default 8)
Brokers
produce-fetch
requests
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• num.replica.fetchers
(Number of fetcher threads used to replicate messages from a
source broker. Increasing this value can increase the degree of
I/O parallelism in the follower broker. Default 1)
Brokers
produce-fetch
requests
36
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https://kafka.apache.org – users@kafka.apache.org
38
Jonathan Santilli
jsantilli@mimecast.com
@pachilo
THANK YOU

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