Cloud Platform Support for API Governance
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Web API and Microsoft Azure
[ 1 ] www.it-ebooks.info Building Web Services with Microsoft Azure Quickly develop scalable, REST-based applications or services and learn how to manage them using Microsoft Azure Alex Belotserkovskiy Stephen Kaufman Nikhil Sachdeva professional expertise distilled PUBLISHING BIRMINGHAM - MUMBAI www.it-ebooks.info Building Web Services with Microsoft Azure Copyright © 2015 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: May 2015 Production reference: 1220515 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78439-837-8 www.packtpub.com www.it-ebooks.info Credits Authors Copy Editors Alex Belotserkovskiy Pranjali -
A Field Guide to Web Apis by Kin Lane Contents
A field guide to web APIs By Kin Lane Contents Executive summary 4 What are APIs used for? 5 Open data . 5 Websites . 5 Mobile . 5. Automobiles . 6. Homes and buildings . 6 Why are web APIs different? 7 They build on existing web architecture . 7. Intuitive resources . 7 Simplicity rules . 8. Easy to understand for developers and even nondevelopers . 8. Self-service resources . 8 . History of web APIs 9 Commerce . 9 . Social . 9 . Cloud computing . .9 . Mobile . .10 . What technology goes into an API? 11 REST . 11. JSON . 11 Security . 11 . Keys . 11 . Basic auth . 12 Open authorization . 12 . Webhooks . 12 Deploying your web API 13 Do-it-yourself approaches . 13 Cloud solutions . 13 . Enterprise gateways . 13 . Established practices for managing APIs 14 Self-service . 14 . Getting started . .14 . Documentation . 15 . Code samples . 15. 2 A field guide to web APIs Support and feedback loops . 15 . The legal aspect . 15. Developer dashboard . 16 Marketing and API evangelism 17 Goals . 17 User engagement . .17 . Blogging . 17 Landscape analysis . 18 . GitHub . .18 . Social . 18. Events . 19. The future of web APIs 20 API aggregation . 20 . Real-time APIs . 20. Backend as a Service (BaaS) . 20 . Automation . 20 Voice . 21. Internet of things . 21. Cloud trends 22 Maturity of IaaS layer . 22. Opportunities in the PaaS layer . .22 . Key takeaways 23 About Kin Lane 23 3 A field guide to web APIs Executive summary A new breed of web API has emerged, delivering a vision of a lightweight, low-cost approach to connect devices and allowing applications to exchange data efficiently. This research report is a field guide for web API providers, developers, and even nondevelopers . -
Towards Data Handling Requirements-Aware Cloud Computing
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Publikationsserver der RWTH Aachen University Towards Data Handling Requirements-aware Cloud Computing Martin Henze, Marcel Großfengels, Maik Koprowski, Klaus Wehrle Communication and Distributed Systems, RWTH Aachen University, Germany Email: fhenze,grossfengels,koprowski,[email protected] S S S S Abstract—The adoption of the cloud computing paradigm is S S S S hindered by severe security and privacy concerns which arise when outsourcing sensitive data to the cloud. One important S S S S group are those concerns regarding the handling of data. On the one hand, users and companies have requirements how S S S S their data should be treated. On the other hand, lawmakers impose requirements and obligations for specific types of data. These requirements have to be addressed in order to enable the affected users and companies to utilize cloud computing. Figure 1. Intercloud Scenario However, we observe that current cloud offers, especially in an intercloud setting, fail to meet these requirements. Users have no way to specify their requirements for data handling data, especially to the cloud. These requirements typically in the cloud and providers in the cloud stack – even if they restrict, e.g., how long and where a specific piece of data were willing to meet these requirements – can thus not treat might be stored. However, in current cloud offers it is the data adequately. In this paper, we identify and discuss the impossible to meet these requirements adequately [9], as challenges for enabling data handling requirements awareness users cannot specify their requirements and cloud providers in the (inter-)cloud. -
ASP.Net Web API
ASP.Net Web API 1 [email protected] מה זה Web API ? Web API הוא API אותו מממש השרת והוא מחזיר לקליינט Data בלבד ולא View הבקשה והתשובה הן בפרוטוקול Http\Https הקליינטים של Web API יכולים להיות רבים : אפשר להשתמש גם בASP.Net MVC להחזיר Desktop Http\Https Application לקליינט Data אבל WEB API יותר מתאים ונוח Mobile App Server Web API Web Client Data 2 [email protected] דוגמאות ל Web API דוגמאות ידועות ל Web API : /https://jsonplaceholder.typicode.com ● https://openweathermap.org/api ● /https://developers.google.com/maps ● https://developers.facebook.com/docs/graph-api ● ● ועוד רבים 3 [email protected] ASP.Net Web API Microsoft מאפשרת לנו לכתוב שרת אשר מממש Web API כך שקליינטים יוכלו לפנות אליו ולקבל מידע התשתית שמאפשרת זאת נקראת ASP.Net Web API התשתית הזו מאוד דומה ל ASP.Net MVC ההבדל המרכזי הוא ש ASP.Net MVC יכול להחזיר View ויכול להחזיר Data ואילו ASP.Net Web API יכול להחזיר רק Data 4 [email protected] מה זה REST ? REST הוא ראשי תיבות של - Representational State Transfer REST הוא architectural pattern ליצירת API שמשתמש ב HTTP לתקשורת REST הומצא בשנת 2000 REST נמצא בשימוש רוב האתרים שחושפים WEB API 5 [email protected] דוגמא לשימוש בREST עבור אתר הבלוגים שלנו Resource HTTP method Expected output Response Code OK/200 החזרת רשימת כל הבלוגים api/blogs GET/ Created/201 יצירת בלוג חדש api/blogs POST/ No Content or 200/OK/204 עדכן מידע בלוג קיים שהid הוא api/blogs/73 PUT 73/ No Content or 200/OK/204 מחק בלוג קיים שהid הוא api/blogs/73 DELETE 73/ OK/200 החזרת מידע בלוג שהid שלו הוא api/blogs/73 GET 73/ נובע מrouting עם api טבלה בעזרתה אפשר לממש controller .CRUD בשם את המידע עובר ב PUT/POST אפשר BlogsController כאשר id לא נמצא מחזירים להעביר כ querystring שנוסף ל url או ב body של הrequest 404/Not Found 6 [email protected] שימוש ב ASP.Net Web API נוסיף ספריה api תחת ספרית Controllers של פרויקט קיים של ASP.Net MVC. -
Scalability in Web Apis
Worcester Polytechnic Institute Scalability in Web APIs Ryan Baker Mike Perrone Advised by: George T. Heineman 1 Worcester Polytechnic Institute 1 Introduction 2 Background 2.1 Problem Statement 2.2 Game Services and Tools 2.2.1 Graphics Engine 2.2.2 Map Editor 2.2.3 Friend Network 2.2.4 Achievements 2.2.5 Leaderboards 2.3 Our Service Definition 2.3.1 Leaderboards 2.4 Service Requirements 2.4.1 Administrative Ease 2.4.2 Security 2.4.3 Scalability 2.5 Internal Service Decisions 2.5.1 Application Framework 2.5.2 Cloud Computing 3 Methodology 3.1 Decisions of Design and Architecture 3.1.1 Leaderboards 3.1.2 API Documentation 3.1.3 Developer Console 3.1.4 Admin Console 3.1.5 Java Client Package 3.1.6 Logging 3.2 Decisions of Implementation 3.2.1 Enterprise vs Public 3.2.2 Front End Implementation 3.2.3 Cloud Computing Provider (AWS) 3.2.4 Web Application Framework Implementation (Flask) 3.2.5 Continuous Integration Service 3.2.6 API 3.2.7 Logging 3.2.8 Database Schema 4 Success Metrics 4.1 Resiliency 4.1.1 Simulated Traffic 4.1.2 Load Testing and Scalability 4.2 Design 4.2.1 Client Perspective 2 4.2.3 Admin Perspective 5 Conclusions & Future Work 5.1 Client Conclusions 5.2 Administrator Conclusions 5.3 The Future 6 References 7 Appendix A Why we chose Leaderboards B Facebook’s Game Development API C Playtomic’s API D Front End Tooling Decision E API Documentation Tool F Elastic Beanstalk 3 1 Introduction Game developers, especially those that make social games, undertake a large amount of work to create them. -
Cloud Computing Parallel Session Cloud Computing
Cloud Computing Parallel Session Jean-Pierre Laisné Open Source Strategy Bull OW2 Open Source Cloudware Initiative Cloud computing -Which context? -Which road map? -Is it so cloudy? -Openness vs. freedom? -Opportunity for Europe? Cloud in formation Source: http://fr.wikipedia.org/wiki/Fichier:Clouds_edited.jpg ©Bull, 2 ITEA2 - Artemis: Cloud Computing 2010 1 Context 1: Software commoditization Common Specifications Not process specific •Marginal product •Economies of scope differentiation Offshore •Input in many different •Recognized quality end-products or usage standards •Added value is created •Substituable goods downstream Open source •Minimize addition to end-user cost Mature products Volume trading •Marginal innovation Cloud •Economies of scale •Well known production computing •Industry-wide price process levelling •Multiple alternative •Additional margins providers through additional volume Commoditized IT & Internet-based IT usage ©Bull, 3 ITEA2 - Artemis: Cloud Computing 2010 Context 2: The Internet is evolving ©Bull, 4 ITEA2 - Artemis: Cloud Computing 2010 2 New trends, new usages, new business -Apps vs. web pages - Specialized apps vs. HTML5 - Segmentation vs. Uniformity -User “friendly” - Pay for convenience -New devices - Phones, TV, appliances, etc. - Global economic benefits of the Internet - 2010: $1.5 Trillion - 2020: $3.8 Trillion Information Technology and Innovation Foundation (ITIF) Long live the Internet ©Bull, 5 ITEA2 - Artemis: Cloud Computing 2010 Context 3: Cloud on peak of inflated expectations According to -
Osisoft PI System Enterprise Data Infrastructure On
PI System Connector connects PI System from OSIsoft PI System Enterprise Data Infrastructure on AWS 1 individual sites to the Roll-up PI System on AWS via Highly available and load-balanced configuration of Roll-up PI System that aggregates data from multiple PI Systems across sites. AWS Direct Connect or AWS Site-to-Site VPN. 2 Data from edge devices can be ingested via Modbus, OPC UA or MQTT into AWS IoT 12 Greengrass or with a AWS Lambda function. AWS Cloud 3 AWS IoT Greengrass sends the data from edge devices to AWS IoT Core using MQTT. An AWS IoT Core rule is triggered that invokes a Lambda Users Availability Zone 2 Availability Zone 2 function. VPC An AWS Lambda function translates data from Amazon S3 4 1 MQTT message into OSIsoft Messaging Format On- Public subnet Public subnet (OMF) and then sends it to the PI Web API which Premises posts the data to PI System. 11 AWS Site-to 5 Amazon 5 PI System data from on-premises is sent to the PI PI System Site VPN Redshift Connector Relay which posts the data to PI System. Connector 6 Elastic Load Balancing directs PI System traffic PI Connector PI Integrator for PI Vision Elastic Load PI Vision from public subnet (PI Connector Relay, PI Web AWS Direct 4 Relay Business API, PI vision and PI Integrator for Business Balancing Analytics Connect Amazon Analytics) to the PI Asset Framework (PI AF). PI Interface PI Server Kinesis 7 Highly available SQL Servers running on Amazon PI Web API EC2 instances store the metadata used by PI Vision AWS Lambda and PI AF. -
Probing Web Apis to Build Detailed Workload Profile
From the Outside Looking In: Probing Web APIs to Build Detailed Workload Profile Nan Deng, Zichen Xu, Christopher Stewart and Xiaorui Wang The Ohio State University From the Outside 1. Motivation 2. Problem Looking In 3. Our Approach Internet Service Web APIs ProgrammableWeb, 2014 Google Maps Facebook Amazon S3 The typical web page loads data from 7-25 third party providers [Everts, 2013] In 2013, the number of indexed APIs grew By 32% year over year [PW, 2013] From the Outside 1. Motivation 2. Problem Looking In 3. Our Approach ● Using Web APIs ● Benefits – Improve content – Salaries are 20% of without programming expenses [tripAdvisor] – Published interfaces – Failures, dynamic provide well defined, workloads, corner often RESTful, output cases covered – Data is centralized, – Efficient to move managed by experts compute to big data From the Outside 1. Motivation 2. Problem Looking In 3. Our Approach Using web APIs risks availability & performance ● “Everyone has bad days, and ● “...a bug [affected] people from third-party content providers third party sites integrated with are no exception.” Tammy Facebook” on Feb 7, 2013 Everts Took down CNN & WaPost ● Somtimes web APIs perform ● CDN Planet Homepage poorly because the were reported that Facebook took implemented poorly 796 ms to load, 2X longer than any other critical content Slow responses cost 3.5B/y [Everts, 2013] From the Outside 1. Motivation 2. Problem Looking In 3. Our Approach Web API Web APIs Probes Google Maps Models of Captured Cloud Design Response Times Is the web API well implemented? Profile Extraction How will it respond under extreme operating conditions? Workload Profiles Challenge: Create useful profiles faster than trial-and-error approach F F D D C C Hypothesis: Given cloud design, response serv. -
Appscale: Open-Source Platform-As-A-Service
AppScale: Open-Source Platform-As-A-Service Chandra Krintz Chris Bunch Navraj Chohan Computer Science Department University of California Santa Barbara, CA USA UCSB Technical Report #2011-01 January 2011 ABSTRACT In this paper we overview AppScale, an open source cloud platform. AppScale is a distributed and scalable cloud runtime system that executes cloud applications in public, private, and hybrid cloud settings. AppScale implements a set of APIs in support of common and popular cloud services and functionality. This set includes those defined by the Google App Engine public cloud as well as those for large-scale data analytics and high-performance computing. Our goal with AppScale is to enable research and experimentation into cloud computing and to facilitate a ``write once, run anywhere'' programming model for the cloud, i.e., to expedite portable application development and deployment across disparate cloud fabrics. In this work, we describe the current AppScale APIs and the ways in which users can deploy AppScale clouds and applications in public and private settings. In addition, we describe the internals of the system to give insight into how developers can investigate and extend AppScale as part of research and development on next-generation cloud software and services. INTRODUCTION AppScale is a scalable, distributed, and fault-tolerant cloud runtime system that we have developed at the University of California, Santa Barbara as part of our research into the next generation of programming systems (Chohan, et al., 2009; Bunch, et al., 2010; Bunch (2) et.al, 2010). In particular, AppScale is a cloud platform, i.e. a platform-as-a-service (PaaS) cloud fabric that executes over cluster resources. -
Magic Quadrant for Full Life Cycle API Management Published: 27 October 2016 ID: G00277632 Analyst(S): Paolo Malinverno, Mark O'neill
20/01/2017 Gartner Reprint (https://www.gartner.com/home) LICENSED FOR DISTRIBUTION Magic Quadrant for Full Life Cycle API Management Published: 27 October 2016 ID: G00277632 Analyst(s): Paolo Malinverno, Mark O'Neill Summary It is impossible to provide the platform for any digital strategy, and run an effective API program to benefit from the API economy, without full life cycle API management. Our analysis of 19 vendors in this market helps application leaders find the best platform to fit their strategy and planning. Market Definition/Description This document was revised on 30 November 2016. The document you are viewing is the corrected version. For more information, see the Corrections (http://www.gartner.com/technology/about/policies/current_corrections.jsp) page on gartner.com. Full life cycle API management is about the planning, design, implementation, publication, operation, consumption, maintenance and retirement of APIs. It includes a developer's portal to target, assist and govern the communities of developers who embed the APIs, as well as the runtime management and analytics. Gartner used to refer to full life cycle API management as "application services governance," and offered a corresponding Magic Quadrant. This Magic Quadrant therefore replaces the 2015 Magic Quadrant for application services governance. Focus has shifted toward API programs and their fundamental role in the execution of digital strategies, which includes getting value out of the API economy. Projects have become smaller (focusing on very few APIs at any one time) and more business oriented, and require very quick execution. Buying centers, meanwhile, are shifting rapidly from IT departments to business units. -
Go Web App Example
Go Web App Example Titaniferous and nonacademic Marcio smoodges his thetas attuned directs decreasingly. Fustiest Lennie seethe, his Pan-Americanism ballasts flitted gramophonically. Flavourless Elwyn dematerializing her reprobates so forbiddingly that Fonsie witness very sartorially. Ide support for web applications possible through gvm is go app and psych and unlock new subcommand go library in one configuration with embedded interface, take in a similar Basic Role-Based HTTP Authorization in fare with Casbin. Tools and web framework for everything there is big goals. Fully managed environment is go app, i is a serverless: verifying user when i personally use the example, decentralized file called marshalling which are both of. Simple Web Application with light Medium. Go apps into go library for example of examples. Go-bootstrap Generates a gait and allowance Go web project. In go apps have a value of. As of December 1st 2019 Buffalo with all related packages require Go Modules and. Authentication in Golang In building web and mobile. Go web examples or go is made against threats to run the example applying the data from the set the search. Why should be restarted for go app. Worth the go because you know that endpoint is welcome page then we created in addition to get started right of. To go apps and examples with fmt library to ensure a very different cloud network algorithms and go such as simple. This example will set users to map support the apps should be capable of examples covers both directories from the performance and application a form and array using firestore implementation. -
Setting up Colleague Web API
Colleague Setting Up Colleague Web API Release 1.12 May 2016 Notices Notices Without limitation: Ellucian®, Banner®, Colleague®, and Luminis® are trademarks of the Ellucian group of companies that are registered in the U.S. and certain other countries; and Ellucian Advance™, Ellucian Course Signals™, Ellucian Degree Works™, Ellucian PowerCampus™, Ellucian Recruiter™, Ellucian SmartCall™, are also trademarks of the Ellucian group of companies. Other names may be trademarks of their respective owners. © 2012-2016 Ellucian. Contains confidential and proprietary information of Ellucian and its subsidiaries. Use of these materials is limited to Ellucian licensees, and is subject to the terms and conditions of one or more written license agreements between Ellucian and the licensee in question. In preparing and providing this publication, Ellucian is not rendering legal, accounting, or other similar professional services. Ellucian makes no claims that an institution's use of this publication or the software for which it is provided will guarantee compliance with applicable federal or state laws, rules, or regulations. Each organization should seek legal, accounting, and other similar professional services from competent providers of the organization's own choosing. Ellucian 4375 Fair Lakes Court Fairfax, VA 22033 United States of America ©2016 Ellucian. Confidential & Proprietary 2 Contents Contents Prepare for Colleague Web API............................................................................................ 5 Overview........................................................................................................................................5