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Orchestration of Microservices
Daniel Meyer, Camunda
Business
Processes
Understanding the Domain
2
Business Processes
Triggers Outcomes / Goals
Order
Placed
DSL Line
Connected
DSL
unavailableCustomer
Business
Process
3
Customer Satisfaction
Order
Placed
DSL Line
Connected
DSL
unavailable
SLAs & Reliability
Customer
Business
Process
Triggers Outcomes / Goals
4
Is this enough?
Request
Result
System
5
Is this enough?
Request
Result
System
NO 
6
Asynchronous & Long Running
Request
Acknowledge
Frontend
System
Defer
Backend
System
7
Highly Complex
Order
Placed
DSL Line
Connected
Validation Provisioning Billing
8
Business
Processes
Understanding the Domain
Asynchronous &
Long Running
Highly
Complex
Instrumental to
Customer Happiness
9
Event Storming
11
Flow Charts
12
Divide an Conquer
Request
Acknowledge
Frontend
System
Defer
Large monolithic System
Microservices
13
Decoupling
Service A Service B
Synchronous?
Service A Service B
Asynchronous!
14
Events, Commands & Pub/Sub
Event Bus
Service A Service B Service C Service D
15
Tracing Id
Event Bus
Service A Service B Service C Service D
Where is my order ??
16
State Machines
Provisioning
requested
timeout
failed
success
17
Sagas & Compensation
Book
Flight
Book
Hotel
Buy
Theater
Tickets
Cancel
Flight
Cancel
Hotel
18
Unified Model: Workflow
Workflow unifies approaches for Asynchronous and Event-Driven Processing:
- Asynchronous Communication
- Events & Pub / Sub
- Tracing Id
- State Machines
- Sagas & Compensation
19
Uber Cadence
20
Netflix Conductor
21
Amazon Step Functions & Simple Workflow Service
22
How Workflow works
23
How Workflow works
Assign Instance Id (Tracking Id)
24
How Workflow works
Step through Workflow and record State
25
How Workflow works
Assign data & payload with instance
26
How Workflow works
Step through Workflow and record State
27
How Workflow works
Step through Workflow and record State
28
How Workflow works
Step through Workflow and record State
29
How Workflow works
Step through Workflow and record State
30
How Workflow works
Step through Workflow and record State
31
How Workflow works
Step through Workflow and record State
32
How Workflow works
Step through Workflow and record State
33
How Workflow works
Step through Workflow and record State
34
Workflow and Pub / Sub
Publish Command
Subscribe to Events
35
Workflow and Pub / Sub
Workflow
Event Bus
Service B Service C Service D
36
Customer Satisfaction
Order
Placed
DSL Line
Connected
DSL
unavailable
SLAs & Reliability
Customer
Business
Process
Triggers Outcomes / Goals
38
Resilience
[…] the workflow that defines in which order
and how (location, input parameters,
timeouts, etc.) activities are executed is
guaranteed to continue execution under
various failure conditions.
39
Resilient Orchestrations
40
Resilient Orchestrations
41
Resilient Orchestrations
42
Resilient Orchestrations
43
Resilient Orchestrations
retry
44
Resilient Orchestrations
45
Visibility
“[…]
as the number of
microservices grows
and the complexity of
the processes increases,
getting visibility into
these distributed
workflows becomes
difficult without a
central orchestrator.”
46
Visibility
State and History of a particular Instance
47
Visibility
Overview over all instances
1.2K 9K 0.5K
48
Visibility
Statistics like average durations
6h 2h 1s
49
Visibility
50
Workflow
- A unified model for Asynchronous and Event-Driven Processing
- Provides Resilient Orchestrations
- Provides Visibility and Control
51
• 160 customers in >20 countries
• > 85% of customers use Camunda for core business processes
• Self funded & profitable. Revenue in growth 2016: 82%
• 70 Employees
Camunda
AT&T
53
54
Meet Zeebe
“Zeebe” a new Microservice Orchestration & Workflow Engine.
Zeebe is Open Source and available at
• https://zeebe.io (Website)
• https://github.com/zeebe-io (Github)
55
Zeebe’s Mission
Zeebe is pushing the boundaries of what is possible with workflow.
• Extremely high throughput: more than 100x better than trad. engines on a single node
• Horizontally scalable
• Highly available, resilient and fault tolerant
• Completely asynchronous and reactive
56
Client / Server
Broker
Broker
Broker
Broker
Broker
Zeebe
Cluster
Zeebe
Client Connect
My App
Golang
57
Demo
58
Distributed System
Peer to Peer
No single point of failure
No single choking point
Broker
Broker
Broker
Broker
Broker
Zeebe
Cluster
59
Scale
UP
DOWN
3 Nodes 30 Nodes
SCALE
60
Cloud Native
docker run -p 51015:51015 camunda/zeebe:0.2.0
k8s: https://github.com/zeebe-io/zeebe-operator
61
Connecting Microservices
Watermark
Service
Thumbnail
Service
subscribe
62
Persistence
Generate Event Stream
Internally Zeebe works as an Event Sourcing System.
As Zeebe advances through a Workflow Instance, it generates a stream of events.
This event stream is both history but also “drives the execution forward”.
63
Replication
Data is replicated across brokers using raft protocol
Broker
2
Broker
1
Broker
3
Client
64
Thank you.
(Come work on Zeebe.io: If you want to help us make a difference pushing the
boundaries of what is possible with workflow, Camunda is hiring)

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