Understanding Identity in the World of Web APIs – Ronnie Mitra, API Architect, Layer 7 Talk from Identity Management 2013
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Web Based APIs have become a powerful tool for reaching end users in an increasingly fragmented market. The emergence of public and private APIs have introduced new challenges in identity management and access control. Attend this session to get a crash course in Web APIs, the risks they introduce and the emerging standards that can make them safer to use (including OAuth 2 and Open ID Connect)
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About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
LSNIF: Locally-Subdivided Neural Intersection Function
LSNIF: Locally-Subdivided Neural Intersection FunctionTakahiro Harada Neural representations have shown the potential to accelerate ray casting in a conventional ray-tracing-based rendering pipeline. We introduce a novel approach called Locally-Subdivided Neural Intersection Function (LSNIF) that replaces bottom-level BVHs used as traditional geometric representations with a neural network. Our method introduces a sparse hash grid encoding scheme incorporating geometry voxelization, a scene-agnostic training data collection, and a tailored loss function. It enables the network to output not only visibility but also hit-point information and material indices. LSNIF can be trained offline for a single object, allowing us to use LSNIF as a replacement for its corresponding BVH. With these designs, the network can handle hit-point queries from any arbitrary viewpoint, supporting all types of rays in the rendering pipeline. We demonstrate that LSNIF can render a variety of scenes, including real-world scenes designed for other path tracers, while achieving a memory footprint reduction of up to 106.2x compared to a compressed BVH.
https://arxiv.org/abs/2504.21627
AI Agents in Logistics and Supply Chain Applications Benefits and Implementation
AI Agents in Logistics and Supply Chain Applications Benefits and ImplementationChristine Shepherd AI agents are reshaping logistics and supply chain operations by enabling automation, predictive insights, and real-time decision-making across key functions such as demand forecasting, inventory management, procurement, transportation, and warehouse operations. Powered by technologies like machine learning, NLP, computer vision, and robotic process automation, these agents deliver significant benefits including cost reduction, improved efficiency, greater visibility, and enhanced adaptability to market changes. While practical use cases show measurable gains in areas like dynamic routing and real-time inventory tracking, successful implementation requires careful integration with existing systems, quality data, and strategic scaling. Despite challenges such as data integration and change management, AI agents offer a strong competitive edge, with widespread industry adoption expected by 2025.
Your startup on AWS - How to architect and maintain a Lean and Mean account J...
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207 Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Trends Artificial Intelligence - Mary Meeker
Trends Artificial Intelligence - Mary MeekerClive Dickens Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
Understanding Identity in the World of Web APIs – Ronnie Mitra, API Architect, Layer 7 Talk from Identity Management 2013
- 1. Understanding Identity in the World of Web APIs Ronnie Mitra Principal API Architect - Europe Layer 7 API Academy
- 6. … over the web
- 7. 2000 – ebay
- 9. 2006 – Amazon Web Services
- 10. Twilio or stripe 2007 - Twillio
- 11. Web APIs Language Independent APIs are constrained by the syntax of the web Most API Design principles can be applied Some design principles are unique to Web APIs
- 12. Web APIs HTTP
- 13. Network Based APIs HTTP COAP MQTT WebSocket?
- 15. Tunnel Style URI Style Hypermedia Style Event Driven Style
- 16. Tunnel Style Example: SOAP • transport agnostic • operation based • binding documents (WSDL)
- 20. Hypermedia Style
- 21. Hypermedia Style • links • templated input (forms) • task based
- 22. { links: [ link {href: ‘…’ rel: ‘list’}, link {href: ‘…’ rel: ‘add’} ] collection: [ {link: {rel:'complete',href:‘…'}, id:42, text:‘Record 42' } ] }
- 23. Event Driven Style Example: WebSockets • event based communication • server initiated events • full-duplex (websocket)
- 24. Ronnie,Mitra,UK
- 25. Established mechanisms, tools and frameworks HTTP and URI security mechanisms Similar to URI style, new challenges with links Starts in HTTP, need visibility in new protocol
- 27. Private/Partner or Closed APIs
- 30. Public or Open APIs
- 34. Focus on the developer experience (dx)
- 36. DX > Software Qualities
- 38. Innovation Consumer Reach Revenue Source Marketing Integration Light Bulb designed by Jean-Philippe Cabaroc from The Noun Project
- 39. The API security challenge: Balancing Security and Usability
- 41. Identities and Attack Surfaces
- 44. API End User
- 45. Injection Attack
- 46. API
- 47. Examples: SQL Injection Command Injection Code Injection Argument Injection
- 48. API Attack Example: SQL Injection Attacks: APIs GET http://host.com/aresource?token= %E2%80%98or%20%E2%80%981%3D1 GET http://host.com/aresource?token=‘ or ‘1=1 select * from tokens where token = ‘’ or ‘1=1’;
- 49. APIs May Be A Direct Conduit 49 HTTP Server App Server Database App Objects Often: • Self-documenting • Closely mapped to object space
- 50. SQL Injection Attack - Mitigation Sanitize inputs Validate request and response data Limit data size
- 52. API
- 53. Examples: XML/JSON Parser Attacks Jumbo Messages Server Overload
- 54. Denial of Service Attack: Mitigation Enforcement of boundary conditions Intelligent rate limiting Offload processing
- 55. Overflow
- 56. API
- 57. Buffer Overflow Attack: Mitigation Boundary limit enforcement Message validation
- 59. API
- 60. XSS API Example 60 Attacker Web App Server (browser+APIs) Victim: Web Browser Client