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How to build 1000 microservices
with Kafka and thrive
Natan Silnitsky
Backend Infra Developer, Wix.com
Wix Backend
~270 developers
~1300 micro-services
>10M LoC (Scala ,Java, Node.js)
Wix Backend
~270 developers
~1300 micro-services
>10M LoC (Scala ,Java, Node.js)
850M Kafka messages every day
Our inter-service communication Story
Or
How Wix moved to event driven architecture
till 2014
synchronous
rpc-json + retries
*special cases:
activeMQ
Embedded JMS broker
for the JVM
Kafka SDK
synchronous
rpc-json + retries
*special cases:
activeMQ
2015
many
production
operations
issues
till 2014
A lot of
boilerplate
and missing
features
Kafka SDK
2015
synchronous
rpc-json + retries
*special cases:
activeMQ
till 2014
many
production
operations
issues
Greyhound Make it simple
and abstract
Kafka SDK
2015
synchronous
rpc-json + retries
*special cases:
activeMQ
till 2014
many
production
operations
issues
A lot of
boilerplate
and missing
features
Greyhound
Kafka SDK
2015
synchronous
rpc-json + retries
*special cases:
activeMQ
till 2014
many
production
operations
issues
A lot of
boilerplate
and missing
features
2018
Async request-reply
* polyglot
Greyhound
Kafka SDK
Build 1,000 microservices and thrive
* Easily change
Greyhound
Kafka SDK
Kafka works for us because of its structure
Kafka
Producer
Kafka Broker
Kafka
Producer
Topic
Partition
Partition
Partition
Kafka Broker
Topic Topic
Partition
Partition
Partition
Partition
Partition
Partition
Topic TopicTopic
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Kafka
Producer
Partition
0 1 2 3 4 5
append-only log
Topic TopicTopic
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Partition
Partition
0 1 2 3 4 5
Kafka
Consumers
6 7 8 9
1
0
1
1
1
2
1
3
1
4
1
5
1
6
1
7
1
8
1
9
2
0
Kafka
Consumer
Kafka
Producer
Kafka Broker
*performance/scale
Greyhound
Producer
Greyhound
Consumer
Kafka
Consumer
Kafka
Producer
Kafka Broker
Why we wrapped Kafka
Greyhound wraps Kafka
Less
boilerplate
…? - Setup boilerplate
KafkaProducer createProducer() {
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
props.put("acks", "all");
props.put("retries", 0);
props.put("batch.size", 16384);
props.put("linger.ms", 1);
props.put("buffer.memory", 33554432);
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
Producer<String, String> producer = new KafkaProducer<>(props);
Return producer;
}
Setup
with Kafka
KafkaProducer createProducer(GreyhoundBuilder greyhoundBuilder) {
GreyhoundBufferedProducer unorderedProducer = greyhoundBuilder
.bufferedProducerMaker()
.unordered()
.build();
}
Setup
with Greyhound
* broker
KafkaConsumer createConsumer() {
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
props.put("group.id", "test");
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "1000");
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.serializer", "com.foo.customserializer.UserSerializer");
KafkaConsumer<String, User> consumer = new KafkaConsumer<>(props);
Return producer;
}
Setup
with Kafka
GreyhoundConsumer createConsumer() {
GreyhoundConsumer consumer = GreyhoundConsumer.aGreyhoundConsumerSpec(topic, handler);
}
Setup
with Greyhound
* Opinionated Types
Greyhound wraps Kafka
Less
boilerplate
…? - Setup boilerplate
- Consumer API
boilerplate
static void runConsumer() throws InterruptedException {
final Consumer<Long, SomeMessage> consumer = createConsumer();
while (true) {
final ConsumerRecords<Long, SomeMessage> consumerRecords =
consumer.poll(1000);
consumerRecords.forEach(record -> {
System.out.printf("Record value:%dn", record.value().messageValue);
});
consumer.commitAsync();
}
}
Kafka
Consumer API
static void runConsumer() throws InterruptedException {
final Consumer<Long, SomeMessage> consumer = createConsumer();
while (true) {
final ConsumerRecords<Long, SomeMessage> consumerRecords =
consumer.poll(1000);
consumerRecords.forEach(record -> {
System.out.printf("Record value:%dn", record.value().messageValue);
});
consumer.commitAsync();
}
}
Kafka
Consumer API
static void runConsumer() throws InterruptedException {
final Consumer<Long, SomeMessage> consumer = createConsumer();
while (true) {
final ConsumerRecords<Long, SomeMessage> consumerRecords =
consumer.poll(1000);
consumerRecords.forEach(record -> {
System.out.printf("Record value:%dn", record.value().messageValue);
});
consumer.commitAsync();
}
}
Kafka
Consumer API
static void runConsumer() throws InterruptedException {
String topic = "some-topic";
MessageHandler<SomeMessage> handler =
message -> System.out.printf("Record value:%dn", message.messageValue);
GreyhoundConsumer consumer = GreyhoundConsumer.aGreyhoundConsumerSpec(topic, handler);
}
Greyhound
Consumer API
* No explicit commit
Greyhound wraps Kafka
- Setup boilerplate
- Consumer API boilerplate
Extra
features
…?
The Kafka consumer is NOT thread-safe.
All network I/O happens in the thread of the application making the call.
It is the responsibility of the user to ensure that multi-threaded access is
properly synchronized.
Un-synchronized access will result in ConcurrentModificationException.
https://kafka.apache.org/20/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html
The Kafka consumer is NOT thread-safe.
All network I/O happens in the thread of the application making the call.
It is the responsibility of the user to ensure that multi-threaded access is
properly synchronized.
Un-synchronized access will result in ConcurrentModificationException.
https://kafka.apache.org/20/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html
Greyhound wraps Kafka
So
instead of
a lot of
consumers...
- Setup boilerplate
- Consumer API boilerplate
+ Parallel
Consumption!
Kafka Broker
Topic
Greyhound
Consumer
Kafka
Consumer
WORKER THREAD
POOL
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
(THREAD-SAFE)
PARALLEL
CONSUMPTION
static void runConsumer() {
MessageHandler<SomeMessage> handler = ...
GreyhoundConsumer consumer = GreyhoundConsumer.aGreyhoundConsumerSpec(topic, handler)
.withGroup("some-group")
.withMaxParallelism(10);
}
Greyhound
Consumer
Greyhound wraps Kafka
...what about
Error handling?
- Setup boilerplate
- Consumer API boilerplate
+ Thread-safe Parallel Consumption
+ Retries!
static void setupConsumer() {
ConsumeRetryPolicy retryPolicy = ConsumeRetryPolicy.aRetryPolicy(
Retries.fromBackoffs(Duration.ofSeconds(1), Duration.ofMinutes(10)));
GreyhoundConsumer consumer = GreyhoundConsumer.aGreyhoundConsumerSpec(topic, handler)
.withGroup("some-group")
.withRetry(retryPolicy);
}
Greyhound
Consumer
Kafka Broker
site-created-topic
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
Greyhound Consumer
Kafka Consumer
FAILS TO
READ
Kafka Broker
site-created-topic
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
site-created-topic-retry-0
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
site-created-topic-retry-1
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
Inspired by Uber
RETRY!
Greyhound Consumer
Kafka Consumer
RETRY
PRODUCER
Kafka Broker
site-created-topic-retry-0
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
site-created-topic-retry-1
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
Kafka Broker
site-created-topic
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
site-created-topic-retry-N
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
RETRY!
Inspired by Uber
Retries same message on failure
* Handle lag
HANDLER
BLOCKING
POLICY
Kafka Broker
site-created-topic
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
Greyhound Consumer
Kafka Consumer
* Handle lag
HANDLER
BLOCKING
POLICY
Greyhound wraps Kafkaand when Kafka
brokers are
unavailable...
- Setup boilerplate
- Consumer API boilerplate
+ Thread-safe Parallel Consumption
+ Scheduled retries & blocking handler
+ Resilient Producer
Greyhound
Resilient
Producer
FAILS TO
PRODUCE
Kafka Broker
Retry on failure
Save to disk
H2
Greyhound
Resilient
Producer
Kafka Broker
H2H2H2
Retry on failure
H2
Greyhound
Resilient
Producer
Ordered
block until message
is produced
Kafka Broker
H2H2H2
Retry on failure
H2
Greyhound
Resilient
Producer
Kafka Broker
Unordered
(better throughput
and resiliency)
Greyhound wraps Kafka
- Setup boilerplate
- Consumer API boilerplate
+ Thread-safe Parallel Consumption
+ Scheduled retries & blocking handler
+ Resilient Producer
+ Context Propagation
Super cool
for us
CONTEXT
PROPAGATION
USER REQUEST
METADATA
Browser
User
action
Producer
Kafka Broker
Topic/Partition/Offset
Headers
Key
Value
timestamp
Browser
Kafka Broker
Topic/Partition/Offset
Headers
Key
Value
timestamp
Consumer
Greyhound wraps Kafka
- Setup boilerplate
- Consumer API boilerplate
+ Thread-safe Parallel Consumption
+ Scheduled retries & blocking handler
+ Resilient Producer
+ Context propagation
+ Metrics publishing
One last thing…
for now
ALERTS
METRICS
PUBLISHING
Producer Consumer
Metrics
Server
Slack
email
Kafka
Consumer
Kafka
Producer
Kafka Broker
- Setup boilerplate
- Consumer API boilerplate
+ Thread-safe Parallel Consumption
+ Scheduled retries & blocking handler
+ Resilient Producer
+ Context propagation
+ Metrics publishing
Greyhound takes care of
the mechanics of distributed systems
so YOU can focus on writing business logic.
OSS
SOON
Testkit
included!
Greyhound
Consumer
Greyhound
Producer
WIX CI +
Greyhound new features
/ updates
continuously
updated
Kafka Broker
ConsumerProducer
Browser
Service A Service B
IT’S A HYBRID ARCHITECTURE.
REQUEST-RESPONSE
EVENT-DRIVEN
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
REST
Kafka Broker
Producer
Browser
Pub/Sub
REST
use case #1
SITE
CREATED!
Kafka Broker
Consumer
Producer
Browser
Pub/Sub
REST
use case #1
Consumer
Consumer
SITE
CREATED!
Kafka Broker
Consumer + Retries
Job
Scheduler
Guarantee completion
use case #2
Producer
1
32
RENEW
SUBSCRIPTION!
Kafka Broker
Long running async business process
use case #3
Browser Web
Sockets
Service
1
Subscribe for notifications
Kafka Broker
Consumer
Long running async business process
use case #3
Browser
Producer
REST
2
3
Web
Sockets
Service
4
1
Subscribe for notifications
Kafka Broker
Consumer
Long running async business process
use case #3
Browser
Producer
REST
2
3
Web
Sockets
Service
4
6
Completion notification
5
Kafka Broker
ConsumerProducer
Service C
THE
COMPACT
OPTION
KVStore
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
DC A
(Kafka Cluster A)
THE
CROSS-DC
REPLICATION
OPTION
DC B
(Kafka Cluster A)
DC B
(Kafka Cluster A)
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
DC A
(Kafka Cluster A)
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
0 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 50 1 2 3 4 5
dynamic consumer
COPIES
IN REAL
TIME
X20
RAVEN
Kafka Control Plane
Wix has embraced
Asynchronous, Event Driven design.
...and has all the required tools in place to support it.
Thank You
natans@wix.com twitter @NSilnitsky linkedin/natansilnitsky github.com/natansil
Slides & More
slideshare.net/NatanSilnitsky
medium.com/@natansil
twitter.com/NSilnitsky
Q&A
natans@wix.com twitter @NSilnitsky linkedin/natansilnitsky github.com/natansil
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