![43Highly Scalable Microservices with Apache Kafka + Mesos Kafka Streams Microservice dcos kafka --name confluent-kafka topic create AirlineInputTopic --partitions 10 --replication 3 dcos kafka --name confluent-kafka topic create AirlineOutputTopic --partitions 10 --replication 3 https://hub.docker.com/r/megachucky/kafka-streams-machine-learning-docker-microservice/ https://github.com/kaiwaehner/kafka-streams-machine-learning-docker-microservice Dockerfile: FROM java:8 ADD /opt/kafka-streams-h2o-docker-microservice-1.0-SNAPSHOT-jar-with-dependencies.jar /opt/ ENTRYPOINT ["java", "-jar", "/opt/kafka-streams-h2o-docker-microservice-1.0-SNAPSHOT-jar-with-dependencies.jar"]](https://image.slidesharecdn.com/201710mesosconscalablekafkaandstreamskaiwaehner-171026134957/75/Apache-Kafka-Apache-Mesos-Kafka-Streams-Highly-Scalable-Streaming-Microservices-43-2048.jpg)
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Apache Kafka + Apache Mesos + Kafka Streams - Highly Scalable Streaming Microservices
The document discusses how to build scalable and performant microservice infrastructures using Apache Kafka and Apache Mesos, highlighting their roles in distributed messaging and cloud-native platform management. It covers the implementation of Kafka's streams API for real-time data processing and the orchestration of microservices through Mesos. Key takeaways include the necessity of a scalable messaging architecture for successful microservices, alongside benefits such as health checks and fail-over management.
Apache Kafka + Apache Mesos + Kafka Streams - Highly Scalable Streaming Microservices
- 1. 1Confidential Apache Kafka +Apache Mesos Highly Scalable Streaming Microservices with Kafka Streams Kai Waehner Technology Evangelist kontakt@kai-waehner.de LinkedIn @KaiWaehner www.confluent.io www.kai-waehner.de
- 2. 2Confidential Abstract Microservices establish many benefits like agile, flexible development and deployment of business logic. However, a Microservice architecture also creates many new challenges like increased communication between distributed instances, the need for orchestration, new fail-over requirements, and resiliency design patterns. This session discusses how to build a highly scalable, performant, mission-critical microserviceinfrastructure with Apache Kafka and Apache Mesos. Apache Kafka brokers are used as powerful, scalable, distributed message backbone. Kafka’s Streams API allows to embed stream processing directly into any external microservice or business application; without the need for a dedicated streaming cluster. Apache Mesos can be used as scalable infrastructure for both, the Apache Kafka brokers and external applications using the Kafka Streams API, to leverage the benefits of a cloud native platforms like service discovery, health checks, or fail-over management. A live demo shows how to develop real time applications for your core business with Kafka messaging brokers and Kafka Streams API and how to deploy / manage / scale them on a Mesos cluster using different deployment options. Key takeaways for the audience - Successful Microservice architectures require a highly scalable messaging infrastructure combined with a cloud-native platform which manages distributed microservices - Apache Kafka offers a highly scalable, mission critical infrastructure for distributed messaging and integration - Kafka’s Streams API allows to embed stream processing into any external application or microservice - Mesos allows management of both, Kafka brokers and external applications using Kafka Streams API, to leverage many built-in benefits like health checks, service discovery or fail-over control of microservices - See a live demo which combines the Apache Kafka streaming platform and Apache Mesos
- 3. 3Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 4. 4Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 5. 5Highly Scalable Microserviceswith Apache Kafka + Mesos Microservices Orders Service Basket Service Payment Service Fulfillment Service Stock Service
- 6. 6Highly Scalable Microserviceswith Apache Kafka + Mesos Independently Deployable Orders Service Basket Service Payment Service Fulfillment Service Stock Service
- 7. 7Highly Scalable Microserviceswith Apache Kafka + Mesos Allows us to scale
- 8. 8Highly Scalable Microserviceswith Apache Kafka + Mesos Scale in people terms
- 9. 9Highly Scalable Microserviceswith Apache Kafka + Mesos Scale in infrastructure terms Service Service Service Service A instance 1 Service A instance 2 Service B instance 1 Service B instance 2 Cluster (many machines)
- 10. 10Highly Scalable Microserviceswith Apache Kafka + Mesos Scalable Microservices How do we get there? • Loose Coupling • Data Enabled • Event Driven • Operational Transparency
- 11. 11Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 12. 12Highly Scalable Microserviceswith Apache Kafka + Mesos Apache Kafka – A Distributed, Scalable , Fault-Tolerant Commit Log
- 13. 13Highly Scalable Microserviceswith Apache Kafka + Mesos
- 14. 14Highly Scalable Microserviceswith Apache Kafka + Mesos
- 15. 15Highly Scalable Microserviceswith Apache Kafka + Mesos
- 16. 16Highly Scalable Microserviceswith Apache Kafka + Mesos
- 17. 17Highly Scalable Microserviceswith Apache Kafka + Mesos Apache Kafka – A Streaming Platform
- 18. 18Highly Scalable Microserviceswith Apache Kafka + Mesos Single, Shared Source of Truth Orders Customers Payments Stock
- 19. 19Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 20. 20Highly Scalable Microserviceswith Apache Kafka + Mesos Stream Processing Data at Rest Data in Motion
- 21. 21Highly Scalable Microserviceswith Apache Kafka + Mesos Stream Processing Pipeline APIs Adapters / Channels Integration Messaging Stream Ingest Transformation Aggregation Enrichment Filtering Stream Preprocessing Process Management Analytics (Real Time) Applications & APIs Analytics / DW Reporting Stream Outcomes • Contextual Rules • Windowing • Patterns • Analytics • Machine Learning • … Stream Analytics Index / SearchNormalization
- 22. 22Highly Scalable Microserviceswith Apache Kafka + Mesos When to use Kafka Streams for Stream Processing?
- 23. 23Highly Scalable Microserviceswith Apache Kafka + Mesos When to use Kafka Streams for Stream Processing?
- 24. 24Highly Scalable Microserviceswith Apache Kafka + Mesos
- 25. 25Highly Scalable Microserviceswith Apache Kafka + Mesos
- 26. 26Highly Scalable Microserviceswith Apache Kafka + Mesos
- 27. 27Highly Scalable Microserviceswith Apache Kafka + Mesos Kafka Streams (shipped with Apache Kafka) Map, filter, aggregate, apply analytic model, „any business logic“ Input Stream (Kafka Topic) Kafka Cluster Output Stream (Kafka Topic) Kafka Cluster Stream Processing Microservice (Kafka Streams) Deployed Anywhere Java App, Docker, Kubernetes, Mesos, “you-name-it”
- 28. 28Highly Scalable Microserviceswith Apache Kafka + Mesos A complete streaming microservice, ready for production at large-scale Word Count App configuration Define processing (here: WordCount) Start processing
- 29. 29Highly Scalable Microserviceswith Apache Kafka + Mesos KSQL – A Streaming SQL Engine for Apache Kafka SELECT STREAM CEIL(timestamp TO HOUR) AS timeWindow, productId, COUNT(*) AS hourlyOrders, SUM(units) AS units FROM Orders GROUP BY CEIL(timestamp TO HOUR), productId; timeWindow | productId | hourlyOrders | units ------------+-----------+--------------+------- 08:00:00 | 10 | 2 | 5 08:00:00 | 20 | 1 | 8 09:00:00 | 10 | 4 | 22 09:00:00 | 40 | 1 | 45 ... | ... | ... | ...
- 30. 30Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 31. 31Highly Scalable Microserviceswith Apache Kafka + Mesos Executor (Task) Mesos Architecture Leader Standby Standby Executor (Task) Scheduler ZK ZK ZK Scheduler Framework A Framework B Framework A Framework B Mesos Master Quorum Slave 1 Slave N Offer Offer Offer Offer Master 2 Master 3 Master 1
- 32. 32Highly Scalable Microserviceswith Apache Kafka + Mesos Components of a Kafka Cluster
- 33. 33Highly Scalable Microserviceswith Apache Kafka + Mesos Executor (Kafka Broker) Mesos Architecture Leader Standby Standby Executor (Kafka Streams) Scheduler Scheduler Marathon Kubernetes Marathon Kubernetes Mesos Master Quorum Slave 1 Slave N Offer Offer Offer Offer Master 2 Master 3 Master 1 ZK ZK ZK
- 34. 34Highly Scalable Microserviceswith Apache Kafka + Mesos Why DC/OS for the Kafka Ecosystem? • Automated provisioning and upgrading of Kafka components • Broker, REST Proxy, Schema Registry, Connect … • Kafka applications (Java / Go / .NET / Python Clients, Kafka Streams, KSQL) • Monitoring (Confluent Control Center, etc.) • Unified management and monitoring • Easy interactive installation • Multiple Kafka Cluster on one infrastructure + multi-tenancy • Combination with other Big Data components (Spark, Cassandra, etc.) on one infrastructure • Integration with syslog-compatible logging services for diagnostics and troubleshooting • Elastic scaling, fault tolerance and self-healing • Stateful and stateless services • Service discovery and routing (using the corresponding Mesos framework, i.e. Marathon or Kubernetes) • Kafka VIP Connection (one “static” bootstrap server url) • Storage volumes for enhanced data durability, known as Mesos Dynamic Reservations and Persistent Volumes
- 35. 35Highly Scalable Microserviceswith Apache Kafka + Mesos Agenda 1) Scalable Microservices 2) Apache Kafka and Confluent Platform 3) Kafka Streams 4) Scalable Microservices with Kafka and DC/OS 5) Use Case - Scalable Flight Prediction
- 36. 36Highly Scalable Microserviceswith Apache Kafka + Mesos Live Demo Use Case: Airline Flight Delay Prediction Machine Learning Algorithm: Gradient Boosting (GBM) using Decision Trees Technologies: DC/OS Kafka Broker Kafka Streams H2O.ai
- 37. 37Highly Scalable Microserviceswith Apache Kafka + Mesos Executor (Kafka Broker 1 of 3) Architecture – Live Demo Leader Standby Standby Executor (Kafka Streams 5 of 5) Scheduler Marathon Marathon Marathon Mesos Master Quorum Slave 1 Slave N Offer Offer Offer Master 2 Master 3 Master 1 ZK ZK ZK
- 38. 38Highly Scalable Microserviceswith Apache Kafka + Mesos H2O.ai Model + Kafka Streams Filter Map 2) Configure Kafka Streams Application 3) Apply H2O ML Model to Streaming Data 4) Start Kafka Streams App 1) Create H2O ML Model
- 39. 39Highly Scalable Microserviceswith Apache Kafka + Mesos Live Demo
- 40. 40Highly Scalable Microserviceswith Apache Kafka + Mesos DC/OS on AWS https://downloads.dcos.io/dcos/stable/aws.html
- 41. 41Highly Scalable Microserviceswith Apache Kafka + Mesos Kafka Brokers on DC/OS
- 42. 42Highly Scalable Microserviceswith Apache Kafka + Mesos Kafka Client (compatible with Kafka Streams) on DC/OS https://hub.docker.com/r/mesosphere/kafka-client/ https://hub.docker.com/r/megachucky/mesos-kafka-client/ dcos node ssh --master-proxy –leader docker run -it megachucky/mesos-kafka-client From Apache Kafka 0.9 to 0.11 (Kafka Streams messages require timestamps) Dockerfile: FROM java:openjdk-8-jreMAINTAINER Kai Waehner curl http://apache.mirrors.spacedump.net/kafka/0.11.0.1/kafka_2.11-0.11.0.1.tgz | tar xvz --strip-components=1 WORKDIR /bin
- 43. 43Highly Scalable Microserviceswith Apache Kafka + Mesos Kafka Streams Microservice dcos kafka --name confluent-kafka topic create AirlineInputTopic --partitions 10 --replication 3 dcos kafka --name confluent-kafka topic create AirlineOutputTopic --partitions 10 --replication 3 https://hub.docker.com/r/megachucky/kafka-streams-machine-learning-docker-microservice/ https://github.com/kaiwaehner/kafka-streams-machine-learning-docker-microservice Dockerfile: FROM java:8 ADD /opt/kafka-streams-h2o-docker-microservice-1.0-SNAPSHOT-jar-with-dependencies.jar /opt/ ENTRYPOINT ["java", "-jar", "/opt/kafka-streams-h2o-docker-microservice-1.0-SNAPSHOT-jar-with-dependencies.jar"]
- 44. 44Highly Scalable Microserviceswith Apache Kafka + Mesos Kafka Streams Microservice on DC/OS
- 45. 45Highly Scalable Microserviceswith Apache Kafka + Mesos Video Recording of the Live Demo https://www.youtube.com/watch?v=OTCuWK8PA1g
- 46. 46Highly Scalable Microserviceswith Apache Kafka + Mesos KSQL on DC/OS – Why not? J SELECT STREAM CEIL(timestamp TO HOUR) AS timeWindow, productId, COUNT(*) AS hourlyOrders, SUM(units) AS units FROM Orders GROUP BY CEIL(timestamp TO HOUR), productId; timeWindow | productId | hourlyOrders | units ------------+-----------+--------------+------- 08:00:00 | 10 | 2 | 5 08:00:00 | 20 | 1 | 8 09:00:00 | 10 | 4 | 22 09:00:00 | 40 | 1 | 45 ... | ... | ... | ...
- 47. 47Highly Scalable Microserviceswith Apache Kafka + Mesos Key Take-Aways Ø Apache Kafka Ecosystem on DC/OS for Highly Scalable, Fault-Tolerant Microservices Ø DC/OS offers many Kafka Features out-of-the-box (one-click-provisioning, VIP connection, …) Ø Kafka Streams Microservices run and scale on DC/OS via Marathon or Kubernetes
- 48. 48Highly Scalable Microserviceswith Apache Kafka + Mesos Kai Waehner Technology Evangelist kontakt@kai-waehner.de @KaiWaehner www.confluent.io www.kai-waehner.de LinkedIn Questions? Feedback? Please contact me!