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FaaS Meets Java EE: Developing Cloud Native Applications at Speed

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Chris Bailey
Chris Bailey

Function-as-a-service (FaaS) and serverless platforms increase productivity, enabling you to focus on application code, with the platform taking care of how to deploy, configure, run, and scale the code. They do, however, require you to adopt a new programming model, creating handlers or actions instead of using expressive APIs such as JAX-RS that you have become familiar with. In this session, you’ll learn how it’s now possible to create FaaS- and serverless-based applications with the same APIs you use today and you’ll see a live demo of an application being built and deployed as a cloud native application on Kubernetes. Presented at Oracle Code One, Sept 16th 2019

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IBM Cloud / DOC ID / Month XX, 2018 / © 2018 IBM Corporation FaaS meets JavaEE
 Developing Cloud Native Applications at Speed
 —
 Chris Bailey
 Chief Architect, Cloud Native Runtimes at IBM Project Lead: Kitura, Cloud Native JS, Appsody @Chris__Bailey
@Chris__Bailey Appsody Quarkus Knative FaaS Serverless Cloud Functions Kubernetes Docker Lamba OpenWhisk JavaEE
@Chris__Bailey Blockchain
@Chris__Bailey Appsody Quarkus Knative FaaS Serverless Cloud Functions Kubernetes Docker Lamba OpenWhisk JavaEE
@Chris__Bailey Serverless What is ?
@Chris__Bailey6 Increasingfocusonbusinesslogic Decreasing concern over stack implementation
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 7 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 8 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 9 Docker Docker Virtual Machine Application Stack Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Server Application JAR / WAR / EAR Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 10 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Application Stack Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 11 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Virtual Machine Application Stack Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 12 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Docker Docker Virtual Machine Application Stack Server Application JAR / WAR / EAR Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 13 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Application Stack Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 14 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Docker Docker Virtual Machine Application Stack Server Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 15 Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Docker Docker Virtual Machine Application Stack Server Application JAR / WAR / EAR Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 16 Application Stack Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 17 Docker Docker Virtual Machine Application Stack Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Server JAR / WAR / EAR Lambda
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 18 Docker Docker Virtual Machine Application Stack Increasingfocusonbusinesslogic Decreasing concern over stack implementation IaaS CaaS PaaS FaaS n instances 1..n instances 1..n instances 0..demand instances Server Application JAR / WAR / EAR Lambda
@Chris__Bailey Serverless == FaaS?
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__Bailey “Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to 
 develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. 
 
 Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.” — Wikipedia
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 26 Increasingfocusonbusinesslogic Decreasing concern over stack implementation FaaS 0..demand instances
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 27 Decreasing concern over stack implementation FaaS 0..demand instances SimplifiedDevandDeploy
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 28 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 29 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 30 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Functions • Simplified Development • Delegated framework stack
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 31 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Functions • Simplified Development • Delegated framework stack Serverless • Scale on Demand • Delegated infrastructure
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 32 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Functions • Simplified Development • Delegated framework stack Serverless • Scale on Demand • Delegated infrastructure FaaS • Functions development • Serverless deployment
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 33 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Simplified Dev • Simplified Development • Delegated framework stack Serverless • Scale on Demand • Delegated infrastructure FaaS • Functions development • Serverless deployment
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 34 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Simplified Dev • Simplified Development • Delegated framework stack Simplified Ops • Scale on Demand • Delegated infrastructure FaaS • Functions development • Serverless deployment
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 35 FaaS 0..demand instances SimplifiedDevandDeploy Simplified Infrastructure and Scaling Servers Simplified Dev • Simplified Development • Delegated framework stack Simplified Ops • Scale on Demand • Delegated infrastructure Simplified Dev and Ops • Functions development • Serverless deployment
@Chris__Bailey FaaS == Serverless + Functions
@Chris__Bailey Functions Top three reported benefits:
@Chris__Bailey Functions • 42% reported gains in Speed of Development Top three reported benefits:
@Chris__Bailey Functions • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits:
@Chris__Bailey Functions • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits:
@Chris__Bailey Functions • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits: Biggest benefit of serverless:
@Chris__Bailey Functions • 42% reported Easier development • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits: Biggest benefit of serverless:
@Chris__Bailey Functions • 42% reported Easier development • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits: Biggest benefit of serverless: “We use serverless to decrease the time from our idea to getting the end product in our customer’s hand.”
 — Steven Surgnier, Co-founder and CTO, Fabric.
@Chris__Bailey Functions • 42% reported Easier development • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits: Biggest benefit of serverless: “We use serverless to decrease the time from our idea to getting the end product in our customer’s hand.”
 — Steven Surgnier, Co-founder and CTO, Fabric. Average delivery speed increased 77%
 Average of 4 “developer work days” saved per month. https://hackernoon.com/serverless-survey-77-delivery-speed-4-dev-workdays-mo-saved-26-aws-monthly-bill-d99174f70663
@Chris__Bailey Functions • 42% reported Easier development • 9% reported gains in Cost of labor • 17% reported gains in Time to Feature • 42% reported gains in Speed of Development Top three reported benefits: Biggest benefit of serverless: “We use serverless to decrease the time from our idea to getting the end product in our customer’s hand.”
 — Steven Surgnier, Co-founder and CTO, Fabric. Average delivery speed increased 77%
 Average of 4 “developer work days” saved per month. https://hackernoon.com/serverless-survey-77-delivery-speed-4-dev-workdays-mo-saved-26-aws-monthly-bill-d99174f70663 Simplified application models move the standards and workflow to the platform
@Chris__Bailey What is FaaS being using for?
@Chris__Bailey Functions Technical use cases for serverless:
@Chris__Bailey Functions • 73% for REST APIs Technical use cases for serverless:
@Chris__Bailey Functions • 23% for Mobile Backends • 73% for REST APIs Technical use cases for serverless:
@Chris__Bailey Apache OpenWhisk Functions
@Chris__Bailey Apache OpenWhisk Functions
@Chris__Bailey Apache OpenWhisk AWS Lambda Functions
@Chris__Bailey Apache OpenWhisk AWS Lambda Functions
@Chris__Bailey JAX-RS APIs Functions
@Chris__Bailey JAX-RS APIs Functions import javax.json.Json; import javax.json.JsonObject; import javax.json.JsonObjectBuilder; import javax.ws.rs.GET; import javax.ws.rs.Path; import javax.ws.rs.Produces; import javax.ws.rs.core.MediaType; @Path("properties") public class PropertiesResource { @GET @Produces(MediaType.APPLICATION_JSON) public JsonObject getProperties() { JsonObjectBuilder builder = Json.createObjectBuilder() System.getProperties().entrySet().stream() .forEach(entry -> builder.add((String)entry.getKey(), (String)entry.getValue())); return builder.build(); } }
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 56 : HTTP Functions
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 57 : HTTP Functions Node.js “Connect” API
@Chris__Bailey Java and FaaS
@Chris__Bailey https://thenewstack.io/what-aws-lambdas-performance-stats-reveal/ Functions Language usage on AWS Lambda
@Chris__Bailey https://thenewstack.io/what-aws-lambdas-performance-stats-reveal/ Functions • 67.6% using Node.js Language usage on AWS Lambda
@Chris__Bailey https://thenewstack.io/what-aws-lambdas-performance-stats-reveal/ Functions • 26.4% using Python • 67.6% using Node.js Language usage on AWS Lambda
@Chris__Bailey https://thenewstack.io/what-aws-lambdas-performance-stats-reveal/ Functions • 26.4% using Python • 67.6% using Node.js Language usage on AWS Lambda • 3.4% using Java
@Chris__Bailey63 OpenWhisk: 1 Action 1 Request 1 Container
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 64 OpenWhisk: 1 Action 1 Request 1 Container Request 1
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 65 Docker public static JsonObject main(JsonObject args) POST /init POST /run OpenWhisk: 1 Action 1 Request 1 Container Request 1
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 66 Docker public static JsonObject main(JsonObject args) POST /init POST /run OpenWhisk: 1 Action 1 Request 1 Container Request 1
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 67 Docker public static JsonObject main(JsonObject args) POST /init POST /run OpenWhisk: 1 Action 1 Request 1 Container Request Request 1 1
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 68 Docker public static JsonObject main(JsonObject args) POST /init POST /run Docker public static JsonObject main(JsonObject args) POST /init POST /run OpenWhisk: 1 Action 1 Request 1 Container Request Request 1 1
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Framework Startup Times
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Framework Startup Times
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Framework Startup Times
@Chris__Bailey Quarkus http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Framework Startup Times
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Quarkus JVM Framework Startup Times
@Chris__Bailey 13.7 8.764 1.629 0.5320.18 Quarkus JVMQuarkus Native Framework Startup Times
@Chris__Bailey Quarkus http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io
@Chris__Bailey Quarkus Knative http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io https://github.com/knative https://twitter.com/knativeproject https://knative.dev
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 78 Docker public static JsonObject main(JsonObject args) POST /init POST /run Docker public static JsonObject main(JsonObject args) POST /init POST /run OpenWhisk: 1 Action 1 Request 1 Container Request Request 1 1
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 79 Knative: Multiple Endpoints Multiple Requests 1 Container
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 80 Knative: Multiple Endpoints Multiple Requests 1 Container
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 81 Knative: Multiple Endpoints Multiple Requests 1 Container Request 1..100
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 82 Knative: Multiple Endpoints Multiple Requests 1 Container Request 1..100 Docker Docker Server Application JAR / WAR / EAR
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 83 Knative: Multiple Endpoints Multiple Requests 1 Container Request 1..100 Docker Docker Server Application JAR / WAR / EAR
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 84 Knative: Multiple Endpoints Multiple Requests 1 Container Request 1..100 Docker Docker Server Application JAR / WAR / EAR
@Chris__BaileyIBM Cloud / © 2018 IBM Corporation 85 Knative: Multiple Endpoints Multiple Requests 1 Container Request 1..100 Docker Docker Server Application JAR / WAR / EAR 1..100 Request Docker Docker Server Application JAR / WAR / EAR
@Chris__Bailey 1..100 IBM Cloud / © 2018 IBM Corporation 86 Request Request Knative: Multiple Endpoints Multiple Requests 1 Container 1..100 Docker Docker Server Application JAR / WAR / EAR Docker Docker Server Application JAR / WAR / EAR
@Chris__Bailey Quarkus Knative http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io https://github.com/knative https://twitter.com/knativeproject https://knative.dev
@Chris__Bailey http://github.com/appsody http://twitter.com/appsodydev https://appsody.dev Appsody Quarkus Knative http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io https://github.com/knative https://twitter.com/knativeproject https://knative.dev
@Chris__Bailey > appsody : CLI Continuous, Containerized: dev | test | debug | build | deploy 100% Open Source, Built on Standard Technologies Appsody Build Cloud-Native Apps using any language or framework
@Chris__Bailey : stacks > appsody : CLI Continuous, Containerized: dev | test | debug | build | deploy Pre-built, Cloud Optimized Shared through AppsodyHub 100% Open Source, Built on Standard Technologies Appsody Build Cloud-Native Apps using any language or framework
@Chris__Bailey : deploy: stacks > appsody : CLI Continuous, Containerized: dev | test | debug | build | deploy Pre-built, Cloud Optimized Shared through AppsodyHub Production deploy to Kubernetes Server or Serverless Scaling 100% Open Source, Built on Standard Technologies Appsody Build Cloud-Native Apps using any language or framework
@Chris__Bailey Docker Application Functions Connect Docker Application Functions Connect Appsody Stacks Cloud Packaged java Docker Application Functions JAX-RS python Docker Application Functions Flask Handler nodejs
@Chris__Bailey Docker Application Functions Connect Docker Application Functions Connect Appsody Stacks Cloud Packaged java Docker Application Functions JAX-RS python Docker Application Functions Flask Handler nodejs Cloud Native
@Chris__Bailey Docker Application Functions Connect Docker Application Functions Connect Appsody Stacks Cloud Functions Cloud Native Cloud Packaged java Docker Application Functions JAX-RS python Docker Application Functions Flask Handler nodejs
@Chris__Bailey Application Functions Appsody Stacks
@Chris__Bailey Application Functions Appsody Stacks Docker JAX-RS
@Chris__Bailey Appsody Stacks Optimize for target platform • OpenTracing • Metrics/Monitoring • Logging • Security and Authentication • etc Application Functions Docker JAX-RS
@Chris__Bailey > appsody Developer Appsody Hub Cloud Configured Appsody Stacks Developer Workflow using Appsody Stacks
@Chris__Bailey > appsody Developer Appsody Hub Discover available Appsody Stacks appsody init Developer’s App Cloud Configured Appsody Stacks Developer Workflow using Appsody Stacks
@Chris__Bailey > appsody Developer Appsody Hub Discover available Appsody Stacks appsody init Developer’s App run
 test debugDevelop in IDE Uses
 Appsody Stack Cloud Configured Appsody Stacks Developer Workflow using Appsody Stacks
@Chris__Bailey > appsody Developer Appsody Hub Discover available Appsody Stacks appsody init Developer’s App run
 test debugDevelop in IDE Uses
 Appsody Stack git commit Developer's
 Git ProjectDeveloper’s App Save Changes Cloud Configured Appsody Stacks Developer Workflow using Appsody Stacks
@Chris__Bailey Appsody Stack > appsody Developer Appsody Hub Discover available Appsody Stacks appsody init Developer’s App run
 test debugDevelop in IDE Uses
 Appsody Stack git commit Developer's
 Git ProjectDeveloper’s App Save Changes Cloud Configured Appsody Stacks Developer’s App appsody deploy Developer Workflow using Appsody Stacks
@Chris__Bailey Appsody Stack > appsody Developer Appsody Hub Discover available Appsody Stacks appsody init Developer’s App run
 test debugDevelop in IDE Uses
 Appsody Stack git commit Developer's
 Git ProjectDeveloper’s App Save Changes Cloud Configured Appsody Stacks Cloud Platform Developer’s App appsody deploy Developer Workflow using Appsody Stacks appsody deploy
@Chris__Bailey Demo
@Chris__Bailey http://github.com/appsody http://twitter.com/appsodydev https://appsody.dev Appsody Quarkus Knative http://github.com/quarkusio http://twitter.com/QuarkusIO https://quarkus.io https://github.com/knative https://twitter.com/knativeproject https://knative.dev

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