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OpenWhisk Introduction


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This presentation was given at the IBM Bluemix Meetup in Manhattan.

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OpenWhisk Introduction

  1. 1. IBM Bluemix OpenWhisk New York City Bluemix Meetup Ioana Baldini Research Staff Member, IBM Research
  2. 2. Please Note: 2 • IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. • Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. • The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. • The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. • Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
  3. 3. Agenda • OpenWhisk in a nutshell • What OpenWhisk is and how it works • Usage scenarios • OpenWhisk programming model • OpenWhisk architecture • Live demo • Summary & Questions 3
  4. 4. OpenWhisk in a nutshell Cloud platform to execute code in response to events
  5. 5. Whisk in a nutshell Serverless deployment & operations model We hide infrastructural and operational complexity allowing you to focus on coding: You provide code – we execute it! – FaaS = Function as a Service Optimal utilization, fair pricing at any scale We provide you exactly the resources you need – neither less nor more - and charge you only for code really being executed Flexible programming model & powerful tooling We support multiple languages (incl. Swift) and custom logic via docker containers, plus tools to declaratively chain your code snippets Open & open ecosysten Open to run anywhere to avoid any kind of vendor lock-in and to accelerate the development of a powerful ecosystem
  6. 6. Execute app logic in response to data triggers Execute app logic in response to sensed data (IoT) Execute app logic in response to cognitive trends Execute app logic in response to scheduled tasks Provide easy server-side backend for mobile app Typical Scenarios
  7. 7. OpenWhisk: Another way to build apps… BYOC: Bring Your Own Code Ease of getting started Full stack Control OpenWhisk Event-driven apps deployed in a serverless environment Instant Runtimes App-centric runtimes based on Cloud Foundry IBM Containers Portable delivery of your app without having to manage an OS Virtual Machines Most flexibility and control with VMs
  8. 8. Meet Dave & his team Dave is lead architect of an online photo community and marketplace – Operate a platform to – share and photos – edit and categorize photos via manual tagging 8
  9. 9. Meet Dave & his team To be competitive, Dave‘s team need to continously add innovative features – Idea: Provide a mobile app that allows to automatically sharpen, noise- reduce and semantically tag photos being uploaded 9
  10. 10. Design requirements Dave & his team want to focus on developing value-adding code instead of low-level infrastructural & operational details
  11. 11. OpenWhisk solution  Flexible programming environment  Open ecosystem of building blocks  Outsource computing tasks to the cloud  No servers to manage or maintain  Automatic scaling with load  Built-in fault tolerance  Pay as you go
  12. 12. Some usage Scenarios OpenWhisk can help power various mobile, web and IoT app usecases by simplifying the programming model of orchestrating various services using events without a dedicated backend. Digital app workloads Big Data/Analytics pipeline Complex data pipeline for Big Data/Analytics tasks can be scripted using changes in data services or streams for near real-time analytics and feedback. DevOps & infrastructure as code OpenWhisk can be used to automate DevOps pipeline based on events triggered from successful builds or completed staging or a go-live event. Micro-Services builder Whisk can be used to easily build micro-services given the footprint and programming model desired by micro services
  13. 13. OpenWhisk: How does it work? Incoming HTTP request, e.g. HTTP GET 11 Invoke OpenWhisk action getCustomers Browser Mobile App Web App Variety of languages Variety of languages 22 JS Swift Docker … OpenWhisk
  14. 14. OpenWhisk: How does it work? Event Providers Cloudant Git Weather … Trigger execution of associated OpenWhisk action 22 … JS Swift Docker … Data event occurs, e.g. commit on a Git repository, CRUD operation on Cloudant 11 OpenWhisk
  15. 15. Programming model Services define the events they emit as triggers, and developers associate the actions to handle the events via rules TT AA RR
  16. 16. Programming model Trigger: A class of events that can happenTT
  17. 17. Programming model Actions: Code that runs in response to an event (event-handler)AA
  18. 18. Programming model Actions: Multi-runtime support, e.g. JavaScript, Python, Java, SwiftAA function main(msg) { return { message: 'Hello, ' + + ' from ' + }; };
  19. 19. Programming model Actions: Multi-runtime support, e.g. Docker containersAA
  20. 20. Programming model Actions: Can be chained to create sequences to increase flexibility and foster reuse AA AA AA := A1 A1 + A2 A2 + A3 A3 AB AB := A2 A2 + A1 A1 + A3 A3 AC AC := A3 A3 + A1 A1 + A2 A2
  21. 21. Programming model Rules: An association of a trigger and an actionRR RR := TT AA
  22. 22. Programming model Packages: A shared collection of triggers and actionsPP AA AA read write TT changes AA translate AA forecast AA post TT topic Open Source AA myAction TT myFeed Yours TT commit Third Party
  23. 23. OpenWhisk Core – System Architecture 23 Edge Proxy Log Forwarder UI Consul Registrator Log Forwarder EntitlementController E Registrator Log Forwarder Invoker Master
  24. 24. Live demo
  25. 25. Slack Slash Command: /wsk /wsk [action-name [parameter-name parameter-value]*] /wsk hello_world message Ioana
  26. 26. Architecture async blocking wsk slash command api proxy action dispatch action slack response
  27. 27. Slack Slash Command
  28. 28. APIGee API Proxy
  29. 29. OpenWhisk Action Dispatch
  30. 30. Summary • OpenWhisk… – allows you to focus on developing value-adding code – provides you with a flexible programming model for small agile teams – provides you with access to an open ecosystem of building blocks – allows you to compose powerful solutions using modern abstraction and chaining – allows you to share and reuse what you have build – allows you to outsource load & calculation intensive tasks – only charges you for what you really use – is available as open solution in which you can participate
  31. 31. Summary • What else have we seen & learnt? – Actions are executed, blocking or non-blocking, in response to events – Actions can be in Node, Swift, or even Docker containers to execute custom logic… and there is more to come – Actions can even be chained to compose powerful solutions – Out of the box support for event sources such as Cloudant and Github as well as scheduled actions – Tooling comprised of CLI, REST API, and iOS SDK • What have we not seen? Complexity!
  32. 32. Questions?
  33. 33. Notices and Disclaimers 33 Copyright © 2016 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law
  34. 34. Notices and Disclaimers Con’t. 34 Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The provision of the information contained h erein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo,, Aspera®, Bluemix, Blueworks Live, CICS, Clearcase, Cognos®, DOORS®, Emptoris®, Enterprise Document Management System™, FASP®, FileNet®, Global Business Services ®, Global Technology Services ®, IBM ExperienceOne™, IBM SmartCloud®, IBM Social Business®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON, OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®, StoredIQ, Tealeaf®, Tivoli®, Trusteer®, Unica®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at:
  35. 35. Thank You Your Feedback is Important!
  36. 36. Backup
  37. 37. OpenWhisk: Comparison to traditional models • OpenWhisk – Introduces event programming model – Charges only for what is used – Auto-scales Pool of actions Swift DockerJS Trigger 11 Running action Running action Running action 33 Deploy action within millisecs, run it, free up resources OpenWhisk Engine 22
  38. 38. Marchitecture Trigger Package Feed Package Feed Package Feed Package Feed REST CLI iOS SDK CRUD triggers, actions, and rules Invoke actions UI Action NodeJS Action Swift Action Docker Rule Rule Rule Action NodeJS Action Docker Service ecosytem Bluemix services 3rd party services Self-enabled services Chain Chain Invoke
  39. 39. 39 Edge Proxy Log Forwarder UI Consul Registrator Log Forwarder EntitlementController E Registrator Log Forwarder Invoker Master