Gojek's Dagger - Data aggregator powered by Kafka and Flink

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Talk presented during Bangalore Kafka group's stream processing meetup at Hotstar https://www.meetup.com/Bangalore-Apache-Kafka-Group/events/265285812/ Speaker: Rasyid Hakim (https://www.linkedin.com/in/rasyid-hakim-139258130/), Arujit Pardhan

Software

gojek
ROLL OUT PLAN
FACE OFFFACE OFF
ROLL OUT PLAN
2019
Daggers in Gojek
An End to End Data Aggregator
1
Arujit Pradhan
Rasyid Hakim

AGENDA
BACKGROUND
DAGGERS
USE CASE
IMPACT

20+ Products
4 Countries
4M Orders per day
2M Drivers
500+ Microservices

Data In Gojek
27 Kafka Clusters
400+ Topics
6 Billion Messages per Day
All Data in protobuf
500+ Microservices

Daggers
● Started with one use case - Dynamic Surge Pricing
● Hand coded Flink and Kafka Stream jobs in 4 weeks
● 20 other use cases in pipeline
● We had to Do something better

Daggers
● Generic Flink Job
● Feeds data from Kafka
● Deserializes protobuf messages with the help of
our proto schema registry
● Can process upto 2 streams
● Aggregated data from stream(s) is sent to a sink
● Support for custom UDFs and Post Processors

Sinks
Influx Sink
● Default data sink
● Integrated with grafana - used for monitoring
& alerting other business metrics

Sinks
Kafka Sink
● Publish to Kafka topic with a Proto mapping
● Another DIY tool to sink from Kafka to one of
the following:
○ Services - HTTP or GRPC
○ DB - relational OR time series
○ Redis and Elasticsearch
○ Analytics platforms - Clevertap or
Mixpanel
○ Log - for debugging

Alerting
● Automated alerts.
● Users are provided with a Health
dashboard.
● Alerts are sent to specific teams via
their slack channels and pager duties.

Use Cases
○ Fraud Management
○ Supply Availability
○ System Monitoring Metrics
○ Driver Allocation
○ And Many more...

● Spanned over 26 Flink Cluster
● Most of it created by analysts
● Actively used for monitoring
● Dashboards created are used by city
heads
● Backbone of many services like fraud
and surge
REAL TIME DAGGERS IN PRODUCTION REAL TIME DAGGERS
● Single Form to create DAGGER
● The data can be sent to a sink
● Data ready to be consumed as soon as generated
● Real time data analysis across all cluster
● Processed data is sent to one of the sinks
DATA PROCESSED EVERYDAY
300+ 2 min 1+ TB

Impact
6+ Billion
Messages/day01
● For system uptime
● Across 500
microservices
44,000
geolocation02
● For dynamic surge
pricing
● Demand & supply
44,000
geolocation02
● For dynamic surge
pricing
● Demand & supply
User segmentation &
Real-time triggers04
● For growth campaign
● 26% better conversion

Thank You !!!
Let’s talk.(we are hiring!)
Arujit Pradhan
Twitter : @james_bondu
Rasyid Hakim
Linkedin : https://bit.ly/2NAxWC2

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Gojek's Dagger - Data aggregator powered by Kafka and Flink

1. gojek ROLL OUT PLAN FACE OFFFACE OFF ROLL OUT PLAN 2019 Daggers in Gojek An End to End Data Aggregator 1 Arujit Pradhan Rasyid Hakim

2. AGENDA BACKGROUND DAGGERS USE CASE IMPACT

3. 20+ Products 4 Countries 4M Orders per day 2M Drivers 500+ Microservices

4. Data In Gojek 27 Kafka Clusters 400+ Topics 6 Billion Messages per Day All Data in protobuf 500+ Microservices

5. Data In Gojek

6. Daggers ● Started with one use case - Dynamic Surge Pricing ● Hand coded Flink and Kafka Stream jobs in 4 weeks ● 20 other use cases in pipeline ● We had to Do something better

7. Daggers

8. Daggers ●

9. Daggers ● Generic Flink Job ● Feeds data from Kafka ● Deserializes protobuf messages with the help of our proto schema registry ● Can process upto 2 streams ● Aggregated data from stream(s) is sent to a sink ● Support for custom UDFs and Post Processors

10. Daggers Insights

11. ● Architecture

12. Sinks Influx Sink ● Default data sink ● Integrated with grafana - used for monitoring & alerting other business metrics

13. Sinks Kafka Sink ● Publish to Kafka topic with a Proto mapping ● Another DIY tool to sink from Kafka to one of the following: ○ Services - HTTP or GRPC ○ DB - relational OR time series ○ Redis and Elasticsearch ○ Analytics platforms - Clevertap or Mixpanel ○ Log - for debugging

14. Self Serve Portal

15. Result

16.

17. Alerting ● Automated alerts. ● Users are provided with a Health dashboard. ● Alerts are sent to specific teams via their slack channels and pager duties.

18. Use Cases ○ Fraud Management ○ Supply Availability ○ System Monitoring Metrics ○ Driver Allocation ○ And Many more...

19. Extensibility ● UDF ○ Key value lookup (Merchant ID - brand) ● Post Processor ○ Enrich data

20. ● Spanned over 26 Flink Cluster ● Most of it created by analysts ● Actively used for monitoring ● Dashboards created are used by city heads ● Backbone of many services like fraud and surge REAL TIME DAGGERS IN PRODUCTION REAL TIME DAGGERS ● Single Form to create DAGGER ● The data can be sent to a sink ● Data ready to be consumed as soon as generated ● Real time data analysis across all cluster ● Processed data is sent to one of the sinks DATA PROCESSED EVERYDAY 300+ 2 min 1+ TB

21. Impact 6+ Billion Messages/day01 ● For system uptime ● Across 500 microservices 44,000 geolocation02 ● For dynamic surge pricing ● Demand & supply 44,000 geolocation02 ● For dynamic surge pricing ● Demand & supply User segmentation & Real-time triggers04 ● For growth campaign ● 26% better conversion

22. Thank You !!! Let’s talk.(we are hiring!) Arujit Pradhan Twitter : @james_bondu Rasyid Hakim Linkedin : https://bit.ly/2NAxWC2

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