OpenID Connect: An Overview
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OpenID Connect is a simple identity layer that allows clients like mobile or web apps to verify user identities based on an authentication performed by an authorization server, as well as obtain basic profile information about users. It is built on OAuth 2.0 and defined by the OpenID Foundation. The specification defines core features as well as optional discovery, dynamic registration, session management, and OAuth 2.0 response types. Major companies like Google, Salesforce, and Microsoft have implemented or are deploying OpenID Connect to provide single sign-on for web and mobile clients.
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![What is OpenID Connect?
Simple Identity Layer for the Internet
[OpenID Connect] allows Clients to verify the
identity of the End-User based on the
authentication performed by an Authorization
Server, as well as to obtain basic profile
information about the End-User in an
interoperable and REST-like manner.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Imprivata is a healthcare-focused IT security company. Using data integration tools from StreamSets, they built a pipeline to consolidate data from NetSuite, Salesforce, and Oracle in a cloud-based PostgreSQL data warehouse. Hear how their analytics team combined transaction, product, and support data in Einstein Analytics to support decision-making across their business functions: sales, marketing operations, product owners, and CxOs.
Data Integration with Apache Kafka: What, Why, How
Presented at Orange County Advanced Analytics and Big Data Meetup, June 21 2019.
Apache Kafka has fast become the dominant messaging technology for the enterprise; if you're a data scientist or data engineer and you have not yet worked with Kafka, that situation will likely change soon! In this session, Pat Patterson, director of evangelism at StreamSets, explains what Kafka is, why it has disrupted the previous generation of messaging products, and how you can use open source products to build dataflow pipelines with Kafka, without writing code.
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
On a typical day we see hundreds of downloads of StreamSets Data Collector, our open source data integration tool. We used to wrangle our download logs using a combination of the AWS S3 command line, sed, grep, awk and other tools, all run from a shell script (on my laptop!) once a week. This was a classic example of a brittle, hard to maintain, custom data integration. One day it dawned on me, "This is crazy, we have a tool that can do all this!". In this session, I'll explain how I built a dataflow pipeline to stream content delivery network (CDN) logs from S3 to MySQL in real-time, allowing us to gain valuable insights into our open source community. You'll also learn how we use the same techniques to not only gain insights into our community on Slack, but also build tools to better serve them.
Dealing with Drift: Building an Enterprise Data Lake
This document discusses Cox Automotive's use of StreamSets to build an enterprise data lake. It describes the challenges of acquiring and ingesting data from 25 companies with different source types and schemas at scale. Cox Automotive addressed this by using StreamSets to separate the acquisition of data from its various source systems from the ingestion into the data lake. StreamSets pipelines automatically apply data standards and load balancing during ingestion. This architecture has allowed Cox Automotive to significantly increase its monthly ingestion volumes.
Integrating with Einstein Analytics
Einstein Analytics (previously known as Wave Analytics) allows developers to not only create analytics applications, but also to create application templates that allow end-users to create their own analytics applications based on your master app. You, the developer, can define parameters and rules as part of the template, allowing the end-user to customize the app to their requirements. This Dreamforce 2017 session explains how to use Analytics Templates and the Analytics External Data API to automate the ingest of data from outside the platform, manipulating datasets and dataflows to provide a seamless experience for the user.
Efficient Schemas in Motion with Kafka and Schema Registry
This document discusses Apache Avro and Schema Registry. Avro is a data serialization format that allows for schema evolution. Schema Registry provides a REST API and stores Avro schemas, allowing producers and consumers to reference schemas by ID rather than sending the full schema with each message. This reduces network traffic. The presenter demonstrates registering schemas and performing schema evolution using Schema Registry.
Dealing With Drift - Building an Enterprise Data Lake
Data drift, the gradual morphing of data structure and semantics, is a fact of life in enterprise IT. New requirements force schema changes, the meaning of database columns changes over time, and infrastructure upgrades add new fields to log files. Left unchecked, drift in data sources can cause applications and dataflows to fail, with costly downtime and, in the worst case, corruption in downstream data stores.
Cox Automotive comprises more than 25 companies dealing with different aspects of the car ownership lifecycle, with data as the common language they all share. The challenge for Cox was to create an efficient engine for the timely and trustworthy ingest of data capability for an unknown but large number of data assets from practically any source. Discover how their big data engineering team overcame data drift and are now populating a data lake, allowing analysts easy access to data from their subsidiary companies and producing new data assets unique to the industry.
Building Data Pipelines with Spark and StreamSets
Big data tools such as Hadoop and Spark allow you to process data at unprecedented scale, but keeping your processing engine fed can be a challenge. Metadata in upstream sources can ‘drift’ due to infrastructure, OS and application changes, causing ETL tools and hand-coded solutions to fail. StreamSets Data Collector (SDC) is an Apache 2.0 licensed open source platform for building big data ingest pipelines that allows you to design, execute and monitor robust data flows. In this session we’ll look at how SDC’s “intent-driven” approach keeps the data flowing, with a particular focus on clustered deployment with Spark and other exciting Spark integrations in the works.
Adaptive Data Cleansing with StreamSets and Cassandra
Presented at Cassandra Summit 2016.
Cassandra is a perfect fit for consuming high volumes of time-series data directly from users, devices, and sensors. Sometimes, though, when we consume data from the real world, systematic and random errors creep in. In this session, we'll see how to use open source tools like RabbitMQ and StreamSets Data Collector with Cassandra features such as User Defined Aggregates to collect, cleanse and ingest variable quality data at scale. Discover how to combine the power of Cassandra with the flexibility of StreamSets to implement adaptive data cleansing.
Building Custom Big Data Integrations
Big data ingest frameworks ship with an array of connectors for common data origins and destinations, such as flat files, S3, HDFS, Kafka etc, but sometimes, you need to send data to, or receive data from a system that's not on the list. StreamSets includes template code for building your own connectors and processors; we'll walk through the process of building a simple destination that sends data to a REST web service, and show how it can be extended to target more sophisticated systems such as Salesforce Wave Analytics.
Ingest and Stream Processing - What will you choose?
Pat Patterson and Ted Malaska talk about current and emerging technologies. They evaluate each and understand how they are useful in solving problems related to large scale data processing, joining and combining streams. They also talk about the various ways of achieving "at least once" and "exactly once" processing and how we can make sure that data is processed in a timely fashion.
Open Source Big Data Ingestion - Without the Heartburn!
Big Data tools such as Hadoop and Spark allow you to process data at unprecedented scale, but keeping your processing engine fed can be a challenge. Upstream data sources can 'drift' due to infrastructure, OS and application changes, causing ETL tools and hand-coded solutions to fail, inducing heartburn in even the most resilient data scientist. This session will survey the big data ingestion landscape, focusing on how open source tools such as Sqoop, Flume, Nifi and StreamSets can keep the data pipeline flowing.
Ingest and Stream Processing - What will you choose?
This document discusses ingestion and stream processing options. It provides an overview of common streaming patterns and components, including producers, Kafka, and various streaming engines and destinations. Spark Streaming is highlighted as being highly used for its high throughput, SQL support, and ease of transition from batch. The document also discusses other streaming engines like Storm, Flink, and Kafka Streams, noting their strengths and weaknesses. Finally, it introduces StreamSets Data Collector as a tool for building data pipelines.
All Aboard the Boxcar! Going Beyond the Basics of REST
This document discusses RESTful principles and how the Salesforce REST API implements and extends those principles. It begins by outlining Roy Fielding's definition of REST, including client-server architecture, statelessness, caching, uniform interface, layered system, and hypermedia as the engine of application state. It then demonstrates how the Salesforce REST API fulfills most of these principles through examples of retrieving and updating objects. However, it also presents two extensions - object trees and batch requests - that allow creating and manipulating multiple objects in one request, pushing the boundaries of the uniform interface principle. The document concludes by encouraging readers to carefully consider REST principles and only diverge from them when it meaningfully improves the experience.
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
This document discusses using the Simple Cloud Identity Management (SCIM) standard to enable cloud identity and user provisioning across different systems. It provides an overview of SCIM, including its benefits for managing the user lifecycle across on-premise and cloud systems. It describes the SCIM schema for core and extended user attributes. The document demonstrates a SCIM request to retrieve a user and the response, showing both core and extended attribute information. It lists some implementations of SCIM and provides a demo use case of using SCIM to automatically provision a new employee's account, update access upon promotion, and deactivate accounts upon retirement.
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
Why would anyone but the most pedestrian enterprise developer be interested in a data access protocol originally designed by Microsoft, implemented in XML and handed to OASIS for standardization? The Open Data Protocol, or OData for short, has evolved into a clean, RESTful interface for CRUD operations against data services. Alongside the usual enterprise suspects such as Microsoft, Salesforce and IBM, OData has been adopted by government and non-profit agencies to open up their data and make it accessible to the public. For developers wanting to consume data, or create their own OData services, there's no shortage of open source options, from Apache Olingo in Java to node-odata and ODataCpp. Whether you're accessing customer orders in SAP or the Whitehouse visitor book, you're going to need some OData smarts.
Enterprise IoT: Data in Context
The document discusses Internet of Things (IoT) use cases and system architecture patterns for connecting IoT devices to Salesforce. It identifies three common IoT use case patterns: remote monitoring, instrumenting products, and new customer experiences. It then outlines five architecture patterns for connecting devices to Salesforce: anonymous, direct, buffered, gateway, and cloudy. The document promotes connecting IoT data to Salesforce to enable proactive customer engagement and service opportunities.
OData: A Standard API for Data Access
The Open Data Protocol, or OData for short, provides a RESTful interface for CRUD operations against data services. OData services, such as Microsoft Azure, SAP, and WebSphere expose data and metadata as typed name/value pairs in JSON or XML, allowing 'off-the-shelf' data consumers to integrate with services without custom code. This session gives an overview of OData, and explains why salesforce.com selected it as a protocol to integrate with external data services.
API-Driven Relationships: Building The Trans-Internet Express of the Future
Presented at IRM Summit, June 4 2014. Abstract:
Move over Thomas the Tank Engine! If developers are the train conductors of the railway, then APIs
are the bullet trains of the future. In this session, Pat Patterson will explain how identity allows API
ecosystems to flourish, enabling developers to build ever more elaborate integrations. Whether it be
ExactTarget, Minecraft, or other great services, APIs are the basis for empowering developers to build
boundary-less railways across the web. ALLLLLL ABOOOOOOOOOAAAARD!
More from Pat Patterson (20)
How Imprivata Combines External Data Sources for Business Insights
How Imprivata Combines External Data Sources for Business Insights
Data Integration with Apache Kafka: What, Why, How
Data Integration with Apache Kafka: What, Why, How
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Project Ouroboros: Using StreamSets Data Collector to Help Manage the StreamS...
Dealing with Drift: Building an Enterprise Data Lake
Dealing with Drift: Building an Enterprise Data Lake
Efficient Schemas in Motion with Kafka and Schema Registry
Efficient Schemas in Motion with Kafka and Schema Registry
Dealing With Drift - Building an Enterprise Data Lake
Dealing With Drift - Building an Enterprise Data Lake
Adaptive Data Cleansing with StreamSets and Cassandra
Adaptive Data Cleansing with StreamSets and Cassandra
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?
Open Source Big Data Ingestion - Without the Heartburn!
Open Source Big Data Ingestion - Without the Heartburn!
Ingest and Stream Processing - What will you choose?
Ingest and Stream Processing - What will you choose?
All Aboard the Boxcar! Going Beyond the Basics of REST
All Aboard the Boxcar! Going Beyond the Basics of REST
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
Provisioning IDaaS - Using SCIM to Enable Cloud Identity
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
OData: Universal Data Solvent or Clunky Enterprise Goo? (GlueCon 2015)
API-Driven Relationships: Building The Trans-Internet Express of the Future
API-Driven Relationships: Building The Trans-Internet Express of the Future
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[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications."What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
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OpenID Connect: An Overview
- 1. OpenID Connect: An Overview Pat Patterson Developer Evangelist Architect salesforce.com @metadaddy
- 2. What is OpenID Connect? Simple Identity Layer for the Internet [OpenID Connect] allows Clients to verify the identity of the End-User based on the authentication performed by an Authorization Server, as well as to obtain basic profile information about the End-User in an interoperable and REST-like manner.
- 3. What is OpenID Connect? • Specification defined by OpenID Foundation ‘Connect’ Work Group – NRI, Ping Identity, Microsoft, Google, Salesforce etc • Built on OAuth 2.0 • REST-based • Successor to SAML?
- 4. OpenID Connect Status • ‘Nearly complete’ – Second set of OpenID Connect Implementer’s Drafts approved in July, 2013 – Interop testing under way – Waiting for dependencies to be standardized • JWT, JWS etc
- 5. OpenID Connect Specification • OpenID Connect 1.0 Specification – Core – Discovery (optional) – Dynamic Registration (optional) – Session Management (optional) – OAuth 2.0 Multiple Response Types • Implementer’s Guides – Basic Client Profile – Implicit Client Profile
- 6. OpenID Connect Roles Web-based, mobile, or JavaScript Clients verify the identity of End-Users based on authentication performed by an Authorization Server.
- 7. OpenID Connect Basic Client Profile
- 8. OpenID Connect Implicit Client Profile
- 9. OpenID Connect Token Response { "access_token":"SlAV32hkKG", "token_type":"Bearer", "expires_in":3600, "refresh_token":"tGzv3JOkF0XG5Qx2TlKWIA", "id_token":"eyJ0 ... NiJ9.eyJ1c ... ZXso” } • id_token is a JSON Web Token (JWT) – Signed, URL/filename-safe base64 encoded JSON data
- 10. OpenID Connect ID Token { "iss": "https://server.example.com", "sub": "24400320", "aud": "s6BhdRkqt3", "exp": 1311281970, "iat": 1311280970 } • Issuer, Subject, Audience, Expiry, Issued At • Also optional email, auth_time, nonce etc
- 11. Who is Deploying OpenID Connect? • Services: Google, Salesforce, eBay, AOL, Deutsche Telekom, Orange • Vendors: IBM, Microsoft, Ping Identity, Layer 7, ForgeRock, Gluu, MITRE, NRI
- 12. OpenID Connect in Action • Client: Salesforce Community • Auth Server: Google • End User: Me!
- 13. Salesforce Community Login Page
- 16. Salesforce Community Home Page
- 17. Questions? Pat Patterson Developer Evangelist Architect salesforce.com @metadaddy