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OpenShift Serverless
介绍
张诚 /Ryan Zhang
@ryanzhangcheng
2
Serverless 背景
OpenShift Serverless方案
Knative Serving
Tekton
Came-K
AGENDA
@ryanzhangcheng
Serverless 背景
3
@ryanzhangcheng
应用开发架构趋势变化
Serverless 背景
4
Kubernetes Workloads in the Serverless Era
@ryanzhangcheng
背景
5
source: https://martinfowler.com/bliki/Serverless.html
@ryanzhangcheng
什么SERVERLESS - 概念
6
Auto-scale
ServerlessEvent Driven
Container
Kubernetes
@ryanzhangcheng
7
Serverless > Functions
Knative & OpenShift SERVERLESS
Serverless > Containers
Serverless > Microservices
@ryanzhangcheng
SERVERLESS 演进
8
AWS Lambda, Functions...
Serverless 1.0 was built around the FaaS
component and by other services such as API
Gateways. The genesis of the current is
general is available but far from ideal for
general computing, and with potential
candidates for improvements.
1.0
● HTTP and other few Sources
● Functions only
● Limited execution time (5 min)
● No orchestration
● Limited local development experience
@ryanzhangcheng
SERVERLESS 演进
9
AWS Lambda, Functions...
Serverless 1.0 was built around the FaaS
component and by other services such as API
Gateways. The genesis of the current is
general is available but far from ideal for
general computing, and with potential
candidates for improvements.
1.0
● HTTP and other few Sources
● Functions only
● Limited execution time (5 min)
● No orchestration
● Limited local development experience
Serverless Containers
With the advent of Kubernetes, many
frameworks and solutions started to
auto-scale containers. Cloud providers
created offerings using managed services
completely abstracting Kubernetes APIs.
1.5
● Red Hat joins Knative
● Kubernetes based auto-scaling
● Microservices and Functions
● Easy to debug & test locally
● Polyglot & Portable
@ryanzhangcheng
SERVERLESS 演进
10
AWS Lambda, Functions...
Serverless 1.0 was built around the FaaS
component and by other services such as API
Gateways. The genesis of the current is
general is available but far from ideal for
general computing, and with potential
candidates for improvements.
1.0
● HTTP and other few Sources
● Functions only
● Limited execution time (5 min)
● No orchestration
● Limited local development experience
Serverless Containers
With the advent of Kubernetes, many
frameworks and solutions started to
auto-scale containers. Cloud providers
created offerings using managed services
completely abstracting Kubernetes APIs.
1.5
● Red Hat joins Knative
● Kubernetes based auto-scaling
● Microservices and Functions
● Easy to debug & test locally
● Polyglot & Portable
Integration & State
The maturity and benefits of Serverless are
recognized industry wide and providers start
adding the missing parts to make Serverless
suitable for general purpose workloads and
used on the enterprise.
2.0
● Basic state handling
● Enterprise Integration Patterns
● Advanced Messaging Capabilities
● Blended with your PaaS
● Enterprise-ready event sources
@ryanzhangcheng
Serverless 适用场景
11
@ryanzhangcheng
OPERATIONS04
Consistent and scalable operations across multiple
applications.
FOCUS ON BUSINESS03
Focus on business differentiation, abstract & delegate
infrastructure to platform & services.
EVENT-DRIVEN02
Enable event driven cloud-native applications that can
also integrate with classic applications.
AGILITY01
The agility of the cloud on any environment:
● On-premise
● Multi-cloud
● Hybrid
为什么需要 Serverless ?
12
@ryanzhangcheng
Kubernetes Deployment 的问题
13
Kubernetes
Scaling 和 Autoscaling
的问题
Source: https://kccncna19.sched.com/event/Uaa6
@ryanzhangcheng
Kubernetes Autoscale 的问题
14
@ryanzhangcheng
15
OpenShift Serverless
方案
@ryanzhangcheng
OpenShift Serverless技术栈
16
@ryanzhangcheng
红帽在Knative 社区的位置
17
Source: https://knative.teststats.cncf.io/d/8/dashboards?refresh=15m&orgId=1
Companies
contributing to Knative
@ryanzhangcheng
Microservices, Functions and Apps + Events
18
MicroservicesFunctions Apps
Containers
Infrastructure & Scheduling
Containers
Infrastructure & Scheduling
Events
Infrastructure
OPENSHIFT SERVERLESS
@ryanzhangcheng
19
OPENSHIFT SERVERLESS 位置
@ryanzhangcheng
20
OpenShift SERVERLESS 组件
@ryanzhangcheng
What is Knative ?
21
SERVING
可以伸缩到0的自动扩容
更智能部署
支持事件驱动
EVENTING
定义标准事件接口
提供Event Consumer和
Producer
@ryanzhangcheng
OPENSHIFT SERVERLESS 组件
22
Teckton
Cloud Native CICD solution
build on top of Kubernetes.
Next Generation CICD
Camel-K
Cloud native integration
framework design for
serverless and microservice
@ryanzhangcheng
● Leverages Istio
● Configurations desired state of your deployment.
Modifying a configuration creates a new revision.
● Revisions -an immutable snapshot of code and
configuration
● Routes ingress over a collection of Revisions (traffics)
● Services (ie. ksvc) a set of Routes and Configurations,
top interface of serverless
Service
(my-function)
Route
(name) Configuration
Revision
Revision
Revision
manages
Routes
traffic to
records
history of
10%
90%
Knative Serving
23
@ryanzhangcheng
Knative Serving组件&原理
24
source: https://www.infoq.cn/article/PYGUCS*yWxhLM5Rok9vF
@ryanzhangcheng
25
2019ServiceBootcamp
Demo
安装Serverless
Serverless使用场景
@ryanzhangcheng
● Specification: CNCF Cloudevents
● Source: Produce the events
● Event Consumers
● Channel: event forwarding and persistence layer. Implemented by Kafka, AMQP...
● Subscription: Registration between channels and services or other channels
Eventing
26
@ryanzhangcheng
An open-source project for providing a set of shared and standard components for
building Kubernetes-style CI/CD systems
Governed by the Continuous Delivery Foundation
Contributions from Google, Red Hat, Cloudbees, IBM, Pivotal and many
more
Tekton
27
@ryanzhangcheng
Tekton 特色
28
适用Serverless场景,但不限于
Serverless。 Next Gen CICD
Tekton Catalog
丰富的Cloud Native Build工具链 包括
source-to-image, buildah, kaniko,
jib, 等
Serverless 设计, 不🈳跑
K8 原生- CRD扩展
tkn cli
@ryanzhangcheng
OpenShift Pipeline enable Cloud Native CI/CD Solution
Designed with microservices
and distributed teams in mind
Tekton 适用场景
29
Containers
Built for container apps and
runs on Kubernetes
Serverless
Runs serverless with no CI/CD
engine to manage and maintain
DevOps
@ryanzhangcheng
Teckton workflow
30
source: https://kccncna19.sched.com/event/UabG
@ryanzhangcheng
OpenShift Pipelines 设计
31
PipelineResource
Pipeline
Task Task
Define pipeline
Run pipelines
Pipeline Controllers
(Tekton, ext, ...)
pipeline-pod-a
pipeline-pod-b
PipelineRun
TaskRun TaskRun
pipeline-pod-c
@ryanzhangcheng
32
Demo
OpenShift pipeline使用场景
@ryanzhangcheng
APACHE CAMEL K
33
Source:
https://github.com/apache/camel-k
https://camel.apache.org/camel-k/latest/
● A platform for directly running integrations on OpenShift and Kubernetes
● Based on Operator SDK
● Apache-based, community-driven project
@ryanzhangcheng
mvn io.quarkus:quarkus-maven-plugin:1.0.0.CR1:create 
-DprojectGroupId=org.acme 
-DprojectArtifactId=getting-started 
-DclassName="org.acme.quickstart.GreetingResource" 
-Dpath="/hello"
cd getting-started
mvn package -Pnative -Dnative-image.docker-build=true
kn service create gettingstarted-quarkus
--image=markito/getting-started:v1
34
Cloud Native Runtime
@ryanzhangcheng
35
2019ServiceBootcamp
Demo
Came-k FaaS 场景
@ryanzhangcheng
CHE/CODE/IDE TEKTON KNATIVE SERVING
User Application
(Service)
REVISION 1
REVISION 2
REVISION 3
"Hello!"
CODE
CODE
"Hello World!"
CODE
"Hello World, ${user}!"
BUILD
RUN RUNCODE BUILD
Network
traffic
10%
10%
80%
PIPELINE
PIPELINE
PIPELINE
Cloud Native Development Cycle
36
@ryanzhangcheng
Backup Slides
37
@ryanzhangcheng
Learn more
38
Where do I go to learn more about Red Hat and
Serverless?
OpenShift Serverless
Build and deploy serverless applications
using an event-driven infrastructure on Red
Hat® OpenShift®
Tutorial
Get started with your serverless journey
Knative Blog series
Knative: Serving your Serverless Services
@ryanzhangcheng
Serverless 背景-现代应用12条金规
39
First Principles
Distributed
Secure
API Centric
Event Driven
Multi-cloud Scalable
Polyglot
Java
.Net
Core
Python
Node.js
Go
Lang
Disposable
@ryanzhangcheng
40
41
mvn io.quarkus:quarkus-maven-plugin:1.0.0.CR1:create 
-DprojectGroupId=org.acme 
-DprojectArtifactId=getting-started 
-DclassName="org.acme.quickstart.GreetingResource" 
-Dpath="/hello"
cd getting-started
mvn package -Pnative -Dnative-image.docker-build=true
kn service create gettingstarted-quarkus --image=markito/getting-started:v1
42
func init MyFunctionProj --docker # pick a runtime
cd MyFunctionProj
func new --name MyHttpTrigger --template "HttpTrigger"
docker build . hello-azure-func
kn service create hello-azure-func --image=markito/hello-azure-func:v1
43
export IMAGE=markito/spring-boot-kn
./gradlew jib --image=$IMAGE
kn service create spring-boot-kn --image=$IMAGE --limits-memory=1G
export IMAGE=markito/vertx-kn
./gradlew jibDockerBuild --image=$IMAGE
kn service create vertx-kn --image=$IMAGE --limits-memory=1G
@ryanzhangcheng
44
➔ Real-time, ultra-low latency applications
➔ Long running tasks that can't be split into steps
➔ Advanced or complex observability and monitoring requirements
➔ Memory or CPU requirements are very demanding and specific
➔ Can't deal with cold-start
When not to use Serverless
● Processing web hooks
● Scheduled tasks (a la cron)
● Data transformation
● Mobile image manipulation
(compression, conversion, and so on)
● Voice packet to JSON transformation
(Alexa, Cortana, and so on)
● Mobile video analysis
(frame-grabbing)
● PDF generation
● Mobile/MBaaS /single-page apps
● Chat bots
Web
Mobile
IoT
DevOps Automation
Focus on convenience and
business value, no distractions.
f( )
Asynchronous, concurrent, easy to parallelize into independent units of work
Common use cases

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