Presented by Neha Narkhede, Co-founder and CTO, Confluent

1. Stream it together
3 realities of modern programming
Neha Narkhede

2. 2
Kafka is core

3. 3
3 realities of
modern programming

4. 4
managed servicesmicroservicesdata explosion
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5. 5

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c
ache
cache
cache

7. 7
all your data as a stream
Imagine…

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Why microservices?

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The monolithic application

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Microservices are great…

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But communicating between services can get messy

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A stream fixes the madness

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15. 15
Over 1m lines of code in a single repo
Single monolithic app: yelp-main
2011
Move to micro services; Kafka is the backbone
70+ production services
2013
Saved $10m in R&D from 2013-today
2017 Reduced code complexity and downtime

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The rise of
Managed services

17. 17
of Kafka users are in the cloud
52%

18. Running distributed systems is really, really tough
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Coding
Can be pretty tricky

20. Twice as hard as writing the program
Debugging
20

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Where do you even start?
Operations

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sh!thappens

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Change is inevitable; systems evolve

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High throughput messaging broker

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Highly available replicated log

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Full streaming platform with Connect + Streams

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Exactly once streaming platform

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Exactly once streaming platform

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Exactly once streaming platform

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Exactly once streaming platform

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Exactly once streaming platform

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Exactly once streaming platform

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You can’t fix what you can’t see

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Observability is a dark art perfected
only with time and experience!

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Sh!t happens
Figure out observability
Keep up with change

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Focus on building your ideas - not running Kafka

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Apache Kafka as a Service

39. 39
Launch
Signup in
Throughput
Retention 30 days
100 MB/s
3 seconds

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Not just Kafka, but its entire OSS ecosystem
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
...
Producer<String, String> producer = new KafkaProducer<>(props);
for(int i = 0; i < 100; i++)
producer.send(new ProducerRecord<String, String>("my-topic", Integer.toString(i), Integer.toString(i)));
producer.close();
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Arrays.asList("foo", "bar"));
while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
for (ConsumerRecord<String, String> record : records)
System.out.printf("offset = %d, key = %s, value = %s", record.offset(), record.key(), record.value());
}

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No lock-in; freedom to deploy Kafka in
any cloud

42. Kafka everywhere
On prem, in the cloud
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Have an amazing Kafka Summit!
http://confluent.io/confluent-cloud