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Zeebe - a Microservice Orchestration Engine

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Camunda launched Zeebe, a new open source project based around microservice orchestration.

With Zeebe, you can decompose long-running and asynchronous business logic into microservices which are then orchestrated using visual workflows. Zeebe itself is extremely fast, horizontally scalable, fault-tolerant and highly available. With Zeebe you can reliably processes all your transactions as they happen.

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Zeebe - a Microservice Orchestration Engine

  1. 1. Zeebe - Microservice Orchestration Engine
  2. 2. Jakob Freund Co-Founder and CEO Daniel Meyer VP Engineering Darya Niknamian Content Marketing Manager
  3. 3. • 140 customers in 18 countries • > 85% of customers use Camunda for core business processes • Company revenue in growth 2016: 82% • > 70 Employees Camunda AT&T
  4. 4. Meet Zeebe Today, we introduce “Zeebe” a new Microservice Orchestration Engine. Zeebe is Open Source and available at • https://zeebe.io (Website) • https://github.com/zeebe-io (Github)
  5. 5. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A
  6. 6. Order Execution Example Webshop New Orders Payment, Shipment, Billing, Backend, …
  7. 7. Challenges Webshop New Orders Payment, Shipment, Billing, Backend, … Complex Long-Running, Asynchronous, Mission-Critical
  8. 8. Dealing with Complexity Large, monolithic System Distributed Microservice Architecture Industry Trend towards Microservice Architecture
  9. 9. Dealing with Complexity Large, monolithic System Distributed Microservice Architecture Industry Trend towards Microservice Architecture
  10. 10. Webshop New Order Order Inbound Service Payment Service Inventory Service Shipment Service Rest Our Teams‘ task: build „Order Inbound Service“
  11. 11. Webshop New Order Order Inbound Service Payment Service Inventory Service Shipment Service Rest Our Team‘s task: build „Order Inbound Service“ processNewOrder(…) { executePayment(…); fetchItems(…); triggerParcelShipment(…); }
  12. 12. Webshop New Order Order Inbound Service Payment Service Inventory Service Shipment Service Rest What if „fetchItems(…)“ fails? processNewOrder(…) { executePayment(…); fetchItems(…); triggerParcelShipment(…); }
  13. 13. Uber Cadence
  14. 14. Visibility, monitoring and operations? Using microservices turns our applications into distributed systems and along with it becomes more and more difficult to get visibility into the system as a whole and to answer questions like • How many orders are currently being processed and where are they pending? • What is the state of a particular order? • How can I fixup the payload related to an order and restart it?
  15. 15. Netflix Conductor “[…] as the number of microservices grow and the complexity of the processes increases, getting visibility into these distributed workflows becomes difficult without a central orchestrator.”
  16. 16. Amazon Step Functions & Simple Workflow Service
  17. 17. Zeebe‘s Solution 1 2 Define Orchestration Workflow using BPMN Implement Service Invocations or Business Logic Relax And let Zeebe take care of the heavy lifting
  18. 18. Demo
  19. 19. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A
  20. 20. Client / Server Broker Broker Broker Broker Broker Zeebe Cluster Zeebe Client Connect My App Golang
  21. 21. Distributed System Peer to Peer No single point of failure No single choking point Broker Broker Broker Broker Broker Zeebe Cluster
  22. 22. Scale Elastically UP DOWN 3 Nodes 30 Nodes SCALE
  23. 23. Cloud Native $ docker service scale zeebe=10
  24. 24. Topics & Partitions - For internal processing, Zeebe applies event sourcing - Data is organized into topics. - Topics are partitioned for scalability. - Partitions are log-structured Partition head tailentry 0 1 2 5 write (append-only) position Inspiration: Apache Kafka
  25. 25. Fault Tolerance & Data Replication Broker Broker Broker Replicate Data Zeebe Client Replication uses the Raft protocol
  26. 26. Distribution P1: F P2 : F P3 : L P1: L P2 : F P3 : F P1: F P2 : L P3 : F Example: - Topic with 3 partitions and replication factor 3 - PX = Partition X - L = Leader - F = Follower
  27. 27. Data Flow (simplified) Client COMPLETE command Broker - Partition Leader Brokers - Partition Followers 1 2 append replicate & commit 3 4 process Stream Processor State Partition 5 decide & applyCOMPLETED response 6
  28. 28. No external services needed Zeebe does not rely on any external services like databases, queues or caches.
  29. 29. Orchestration of Microservices Zeebe Broker Microservices Distribute Work
  30. 30. Publish / Subscribe Zeebe Broker Microservice Zeebe Client subscribe Inspiration: Messaging Systems! Execute BPMNExecute Business Logic
  31. 31. Scenarios Broker Service 1 Client subscribe Service 2 Client subscribe Scenario 1: Services subscribe directly to broker Scenario 2: Orchestration Service subscribes to broker and calls services via rest Broker Service 1 Client subscribe Service 2 Orchestration Service rest rest
  32. 32. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A
  33. 33. Zeebe is designed for Performance Design principles: • Batching of I/O operations • Linear read/write data access patterns • Compact, cache-optimized data structures • Lock free algorithms and actor concurrency (green threads model) • Broker is garbage-free in the hot/data path Results: 160K – 200K events/s on modern SSDs & Gbit Ethernet Note: Performance regressions in the 0.1.0 release, will be improved for 0.2.0 (End of August)
  34. 34. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A
  35. 35. Project Status Zeebe is currently in a development state that we call "tech preview". This means that: • Zeebe is under heavy development and refactoring • The "initial" scope of the system has not been developed completely yet • Zeebe is not production-ready
  36. 36. What is currently available? - Single Topic with a single partition - Failover & replication - Task Subscriptions & Event Subscriptions - BPMN Workflows: - Sequences of tasks - Data mappings in tasks - Incidents
  37. 37. Roadmap Milestone 1 (Planned for End of September 2017) Achieve Scalability through partitioning Define topics with multiple partitions Deploy workflows to multiple partitions Partition-aware subscriptions BPMN Exclusive Gateway and Conditions Milestone 2 (Planned for End of December 2017) Achieve production-readiness: Checksums in data fragments to detect data corruption Log Compaction Long-running operations testsuite Failure cases testsuite
  38. 38. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A
  39. 39. How can you participate? Zeebe is still in its early stages but there are already different ways you can contribute: • Try out Zeebe and provide feedback in the forums https://forum.zeebe.io • Contribute to Zeebe • Java Framework Integrations (Spring, Spring Boot, RxJava, …) • Client libraries in different Languages • Documentation • .deb/.rpm packages for Linux
  40. 40. Outline How Zeebe simplifies Microservice Orchestration Architecture & Internals Performance Project Status & Roadmap Community Q&A

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