This document provides an overview of cloud native reference architectures. It discusses key concepts like microservices, serverless computing, containers, Kubernetes, service meshes, and event-driven architectures. These concepts are presented along with examples of how to implement messaging, integration, security and other capabilities in a cloud native way.

1. Cloud Native Reference
Architecture .advance
Christina Lin
Technical Evangelist
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2. Christina Lin
CORPORATE SLIDE TEMPLATES
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Technical
Marketing
Manager
Twitter: @Christina_wm
Email: clin@redhat.com
● Workshops
● Demos
● Blogs
Technical
Evangelist

3. 3
Cloud Native
Empower organizations to build and run scalable
application on modern dynamic environment such as
public, private and hybrid clouds.
--CNCF Charter https://github.com/cncf/foundation/blob/master/charter.md
Speed
Access
Scale

4. 4
The Wizards
ContainerOrchestration
Fault tolerance
Microservice
Bounded Context
Kubernetes
Streaming
Change Data Capture
Immutable
Automation
Service Mesh
Resiliency
CircuitBreaker
Event Sourcing
Observibility
Canary Release
Blue Green deployment
Telemetry
TracingService Discovery
Application
Lifecycle
API
Kafla
Agile
Integration
12 factors
OpenTracing
Distributed
Eventual Consistency
CI/CD

5. 5

6. 6
700 BC(Before Cloud-Native)

7. 7
Cloud Native Reference Architecture

8. 8
Cloud Native Reference Architecture
8
Data
● Data Integration
● Change Data Capture
Events
● Event driven System
Kafka (Streaming)
● Change Data Capture
Event Sourcing
Service Mesh (Istio)
● API management for Service Mesh
● EIP and Service Mesh
● Container/Cloud Native Dev
Architecture
API
● API Lifecycle
● API as a Product
● API management for
Service Mesh
● Data Integration
● Low Code Integration
Microservices
● DDD
● Event driven System
Kafka (Streaming)
● Reactive (system VS
programing)
Serverless
● Serverless (KNative) Camel K
● Event driven System
Integration/iPaaS
● Low Code Integration
● Data Integration
Security
● Security
● API management e

9. 9
Microservices & Bounded Context

10. 10
Microservices & Bounded Context

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Microservice and Containers

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Agile Integration

13. 13
Agile Integration

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Core

15. 15
Control & Dispatch

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CODE First
Backend
Services
Integrate and
implement
service
Provide
Contract for
consumers
Back and forth
testing and
negotiating
Back and
forth update
changes
CODE FIRST

17. 17
API First
Backend
Services
Integrate and
implement
contracts
Back and forth
testing and
negotiating
CONTRACT FIRST

18. API First
Bounded Context
Bounded Context
External Gateway
CONTRACT-FIRST
CODE FIRSTBrown Field

19. API First
CONTROL
➔ Security
➔ Key management
➔ Rate limiting
➔ Policy enforcement
➔ User management
➔ Provisioning
VISIBILITY
➔ Analytics
➔ App tracking
➔ User tracking
➔ Traffic alerts
➔ Engagement
➔ Developer support
MANAGEMENT
➔ Testing
➔ Release
➔ Versions
➔ Deployment
➔ SLA
LIFECYCLE

20. 20
Composite

21. 21
Agile Integration

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Container Orchestration Platform

23. 23
Automations

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Automations

25. 25
Container Orchestration Platform

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Container Orchestration Platform

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Closer look at microservice?
Versioning?
Security?
Control?
Release?

28. 28
Closer look at microservice?

29. 29
Closer look at microservice?

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Networking Layer

31. 31
Networking Layer

32. 32
Istio Service Mesh
Data Plane
Control Plane

33. 33
Istio Service Mesh Overview
HTTP1.1, HTTP2, gRPC, TCP w/TLS
istioctl, API, config Quota, Telemetry
Rate Limiting, ACL
CA, SPIFFE
POD
SERVICE A
Istio Proxy
POD
SERVICE B
Istio Proxy
POD
SERVICE C
Istio Proxy
Pilot Telemetry/Policy Citadel
HTTP1.1, HTTP2, gRPC, TCP w/TLS
Data Plane
Control Plane
Istio
Control Plane

34. 34
Service Mesh Overview

35. 35
Service Mesh

36. 36
POD
SERVICE
A
Istio
Proxy
POD
SERVICE
B:v2
Istio
Proxy
POD
SERVICE
B:v1
Istio
Proxy
boston
employee
everyone
POD
SERVICE
A
Istio Proxy
POD
SERVICE
B
Istio Proxy
POD
SERVICE
C
Istio Proxy
discovers service relationships and process times,
transparent to the services
SERVICE A SERVICE B SERVICE C
210 ms 720 ms
930 ms
POD
SERVICE
A
Istio
Proxy
POD
SERVICE
B
Istio
Proxy
POD
SERVICE
C
Istio
Proxy
POD
SERVIC
E
A
ENVOY
POD
SERVIC
E
B
ENVOY
POD
SERVIC
E
C
ENVOY
limit invocation rates, transparent to the
services
max 500
concurrent
reqs
max 100
connections
Service Mesh

37. 37
EVENTS

38. 38
Event Driven with DDD
Bounded Context
Domain
Model
Domain
Model Domain
Model
Domain
Entities
States
Event
microser
vice
microser
vice
microser
vice
Commend
Event
Service functionality
Status transfer
Data Modelling

39. 39
Event Driven Services
microservice
Receives
microservice microservice microservice
Immutable States
Commends State

40. 40
Event Driven Solution?

41. 41
Event Driven Services

42. 42
What About Data Consistency?

43. Service One Service Two Service Three Service Four
compensation compensation compensationcompensation
Saga Pattern

44. Booking
Payment
Hotel
Flight
LRA
camel:
service:
lra:
enabled: true
coordinator-url: http://lra-coordinator.rhte.svc:46000
local-participant-url: http://${project.artifactId}:8080/api
.saga()
.propagation(SagaPropagation.MANDATORY)
.compensation("direct:cancelBooking")
.to("sql:INSERT INTO FLIGHT (custid, traveldatestart, traveldateend ) VALUES (:#id, :#traveldatestart,
:#traveldateend)?dataSource=dataSource")
.toD("http4://rhte-creditcard.rhte.svc:8080/credircard/pay/${header.id}/${header.payamt}?bridgeEndpoint=true")
.saga()
.setHeader(Exchange.HTTP_METHOD, constant("POST"))
.toD("http4://rhte-flight.rhte.svc:8080/api/book?bridgeEndpoint=true")
.toD("http4://rhte-hotel.rhte.svc:8080/api/book?bridgeEndpoint=true")
compensation
compensation
Saga Pattern

45. 45
Event Sourcing

46. 46
Event Sourcing
Reservation
Seating Status Applicant Logistic Analytic
Event STREAMSEvent
registration-ui
seat-ui
seat-reader
seat-listener
registration-ui
seat-ui registration-live-ui
CQRS
analytic-listener
analytic-ui
analytic-reader
Format A
Format B
Format Transform
Format C

47. 47
Change Data Capture
● What is it about?
− Get an event stream with all data and schema changes in your
DB
Apache Kafka

48. 48
Change Data Capture

49. 49
Change Data Capture Topology
DBZ
MySQL
DBZ
Postgres
ES
Connector
MySQL
PostgreSQL
ElasticsearchKafka Connect Kafka ConnectApache Kafka

50. 50
Cloud Native

51. 51
Serverless (KNative)

52. 52
Serving

53. 53
Eventing

54. 54
Cloud Native Reference Architecture
54
Data
● Data Integration
● Change Data Capture
Events
● Event driven System
Kafka (Streaming)
● Change Data Capture
Event Sourcing
Service Mesh (Istio)
● API management for Service Mesh
● EIP and Service Mesh
● Container/Cloud Native Dev
Architecture
API
● API Lifecycle
● API as a Product
● API management for
Service Mesh
● Data Integration
● Low Code Integration
Microservices
● DDD
● Event driven System
Kafka (Streaming)
● Reactive (system VS
programing)
Serverless
● Serverless (KNative) Camel K
● Event driven System
Integration/iPaaS
● Low Code Integration
● Data Integration
Security
● Security
● API management e

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