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Stream it together
3 realities of modern programming
Neha Narkhede
2
Kafka is core
3
3 realities of
modern programming
4
managed servicesmicroservicesdata explosion
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5
6
c
ache
cache
cache
7
all your data as a stream
Imagine…
8
9
Why microservices?
10
The monolithic application
11
Microservices are great…
12
But communicating between services can get messy
13
A stream fixes the madness
14
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
16
The rise of
Managed services
17
of Kafka users are in the cloud
52%
Running distributed systems is really, really tough
18
19
Coding
Can be pretty tricky
Twice as hard as writing the program
Debugging
20
21
Where do you even start?
Operations
22
sh!thappens
23
Change is inevitable; systems evolve
24
High throughput messaging broker
25
Highly available replicated log
26
Full streaming platform with Connect + Streams
27
Exactly once streaming platform
28
Exactly once streaming platform
29
Exactly once streaming platform
30
Exactly once streaming platform
31
Exactly once streaming platform
32
Exactly once streaming platform
33
You can’t fix what you can’t see
34
Observability is a dark art perfected
only with time and experience!
35
Sh!t happens
Figure out observability
Keep up with change
36
37
Focus on building your ideas - not running Kafka
38
Apache Kafka as a Service
39
Launch
Signup in
Throughput
Retention 30 days
100 MB/s
3 seconds
40
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());
}
41
No lock-in; freedom to deploy Kafka in
any cloud
Kafka everywhere
On prem, in the cloud
42
43
Have an amazing Kafka Summit!
http://confluent.io/confluent-cloud

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