# Edge Published articles for Edge. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## После релиза Edge 153 в Microsoft признали, что новая версия браузера зависает при работе с некоторыми веб-приложениями DevFeed: [После релиза Edge 153 в Microsoft признали, что новая версия браузера зависает при работе с некоторыми веб-приложениями]() Original publisher: [Read original article]() Author: denis-19 Published: 2026-09-17T06:31:47Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Edge](), [Microsoft](), [веб-приложения](), [Linux](), [macOS](), [Windows](), [Chrome](), [Chromium]() Tags: [2026](), [chrome](), [chromium](), [edge](), [edge-153](), [linux](), [macos](), [microsoft](), [microsoft-edge](), [microsoft-edge-153](), [tag-44d4090ae9e4](), [tag-cdf241ba4036](), [tag-d2c1bd02300f](), [windows]() ### AI overview Microsoft released the stable Edge 153 for Windows 10/11, macOS, and Linux on September 11, 2026. Microsoft says some web applications may become unresponsive in Edge 153 and currently recommends rolling back to Edge 152 while it investigates. ### Source excerpt 11 сентября 2026 года вышла стабильная версия браузера Microsoft Edge 153 для Windows 10/11, macOS и Linux. Последнее обновление содержит исправления ошибок, новые политики, патчи безопасности. Предыдущая версия проекта браузера была представлена 27 августа 2026 года. Согласно официальному трекеру проблем Microsoft Edge, в версии Edge 153 обнаружена ошибка, из-за которой некоторые веб-приложения могут зависать. Читать далее ## Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI DevFeed: [Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-15T09:00:06Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Microcontrollers](), [Embedded Systems](), [Microcontroller](), [cpu](), [Internet of things](), [Artificial Intelligence](), [SDK]() Tags: [802-15-4](), [ai](), [alif](), [ble](), [camera](), [core](), [debugger](), [development-board](), [devkit](), [edge](), [edge-ai](), [embedded-systems](), [hardware](), [i2c](), [iot](), [led](), [low-power](), [mcu](), [microcontrollers](), [mikrobus](), [open-source](), [sensor](), [specifications](), [testing](), [zephyr](), [zephyr-os]() ### AI overview Alif Semiconductor's Balletto B1 and Ensemble E1C StartKits are low-cost development boards built around Cortex-M55 microcontrollers with Ethos-U55 NPUs. The Balletto B1 adds BLE 5.3 and 802.15.4 connectivity, while both boards include camera, audio, sensor expansion, debugging, and power-measurement features. ### Source excerpt Alif Semiconductor's Ensemble E1C (SK-E1C) and Balletto B1 (SK-B1) StartKits are low-cost development boards built around the company's Cortex-M55 + Ethos-U55 microcontrollers. The Balletto B1 adds BLE 5.3 and 802.15.4 wireless connectivity, while the Ensemble E1C does not have built-in wireless connectivity. Both StartKits feature a microcontroller with a 160MHz Cortex-M55 CPU, an Ethos-U55 NPU, 2MB SRAM, and 1.8/1.9MB NVM. They also include an Arducam camera header, a mikroBUS Click Board expansion socket, and two PDM microphones for camera, audio, and sensor-based projects. The Balletto B1 additionally provides the complete RF path to a chip antenna for its wireless subsystem, while both boards feature an on-board Segger J-Link debugger for development and testing. Alif Semiconductor StartKit (SK-B1 and SK-E1C) specifications: MCU SK-E1C - Alif Semiconductor Ensemble E1C SK-B1 - Alif Semiconductor Balletto B1 CPU - Arm Cortex-M55 core with Helium-M Vector Extension @ up to 160 MHz NPU - Arm [...] The post Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI appeared first on CNX Software - Embedded Systems News. ## Mastering Edge AI on Raspberry Pi with LiteRT and Gemma DevFeed: [Mastering Edge AI on Raspberry Pi with LiteRT and Gemma]() Original publisher: [Read original article]() Author: Lu Wang; Terry Heo; Naushir Patuck; José María Casanova Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [LiteRT](), [On-device AI](), [Local AI](), [AI, ML & Data Engineering](), [Google AI](), [cpu](), [Security, Privacy and Abuse Prevention]() Tags: [cli](), [cpu](), [edge](), [gemma](), [gpu](), [inference](), [litert](), [offline](), [on-device](), [real-time](), [robotics]() ### AI overview The article explains how to deploy Gemma models with LiteRT on a Raspberry Pi for local, real-time edge AI applications such as robotics. It highlights LiteRT-LM, CPU and GPU optimization, and reported performance figures for Gemma 4 E2B on Raspberry Pi 5. ### Source excerpt Deploying secure, real-time Edge AI on Raspberry Pi is now simplified using LiteRT and lightweight Gemma open models. LiteRT optimizes CPU and GPU performance, delivering fast token speeds for models like Gemma4, enabling real-time local reasoning for robotics. Developers can quickly convert, quantize, and run these models using the lightweight LiteRT CLI tool. Support for Hailo AI accelerators is also coming very soon. ## Red Hat edge platforms: Choosing the right one for your use case DevFeed: [Red Hat edge platforms: Choosing the right one for your use case]() Original publisher: [Read original article]() Author: Daniel Froehlich Published: 2026-09-11T13:01:48Z Content type: article Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Edge](), [Containers](), [Kubernetes](), [Architecture & Design](), [Hardware](), [Availability](), [Microservice]() Tags: [containers](), [deployment](), [edge](), [edge-computing](), [hardware](), [high-availability](), [kubernetes](), [management-tools](), [microservices](), [red-hat](), [virtual-machines]() ### AI overview This article introduces a series about choosing Red Hat edge platforms for specific deployment needs. It compares Red Hat Enterprise Linux and Red Hat OpenShift across workload types, platform sizes, hardware requirements, Kubernetes use cases, availability, storage, and management needs. ### Source excerpt Choosing the right platform for an edge deployment is one of the most consequential decisions an organization makes--and one of the most confusing. The options range from a single-board computer running a handful of containers to a full Kubernetes cluster with high availability, software-defined storage, and centralized management. Pick too small, and you hit a wall when requirements grow. The post Red Hat edge platforms: Choosing the right one for your use case appeared first on Red Hat Developer. ## Architecting SASE solutions using AWS Local Zones DevFeed: [Architecting SASE solutions using AWS Local Zones]() Original publisher: [Read original article]() Author: Lakshmi VP Published: 2026-09-09T20:36:09Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [networking](), [Network Services]() Tags: [advanced-300](), [architecture](), [aws](), [aws-local-zones](), [aws-marketplace](), [best-practices](), [edge](), [latency](), [routing](), [sase](), [security](), [zero-trust]() ### AI overview The article explains how AWS Local Zones can support SASE deployments by placing virtual security appliances closer to distributed users to reduce latency while maintaining security controls. ### Source excerpt Organizations with geographically distributed workforces face a trade-off between security and low-latency access. This post explores how to use AWS Local Zones and Secure Access Service Edge (SASE) solutions to deploy virtual security appliances closer to end users, covering key design principles, capacity planning, and traffic routing. ## Faster reviews and quality recognition for Microsoft Edge extensions DevFeed: [Faster reviews and quality recognition for Microsoft Edge extensions]() Original publisher: [Read original article]() Author: Microsoft Edge Team Published: 2026-09-08T16:02:17Z Content type: article Language: en Sources: [Microsoft Edge Blog]() Topics: [Edge](), [Extension](), [Microsoft](), [AI-assisted coding]() Tags: [add-ons](), [ai-assisted-coding](), [automation](), [edge](), [extension](), [extensions](), [review](), [security](), [uncategorized](), [validation]() ### AI overview Microsoft Edge describes automating repeatable extension-review validation checks and streamlining its review pipeline to shorten turnaround times while maintaining quality and security standards. ### Source excerpt Building an extension has never been easier. Rapid adoption of AI-assisted coding is enabling developers to build extensions faster than ever. We have seen that momentum on the Edge Add-ons site< The post Faster reviews and quality recognition for Microsoft Edge extensions appeared first on Microsoft Edge Blog. ## How to secure edge AI in customer-owned environments DevFeed: [How to secure edge AI in customer-owned environments]() Original publisher: [Read original article]() Author: Shayak Lahiri Published: 2026-09-04T19:10:10Z Content type: article Language: en Sources: [Microsoft Security Blog]() Topics: [AI Platforms/Deployment](), [Machine Learning, Security Attacks](), [Inference](), [Application Security](), [cloud-infrastructure]() Tags: [ai](), [attacks](), [cloud](), [customer](), [deployment](), [edge](), [frontier-ai-models](), [hardware](), [how-to](), [inference](), [models](), [security]() ### AI overview The article explains how moving AI inference and assets into customer-owned edge environments changes the security trust model. It recommends attestation, provenance, action mediation, and releasing sensitive assets only to trusted environments. ### Source excerpt As AI moves into customer-owned environments, organizations need new ways to verify the systems, software, and AI assets they trust before releasing sensitive data, credentials, and models. The post How to secure edge AI in customer-owned environments appeared first on Microsoft Security Blog. ## Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson DevFeed: [Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-09-04T16:21:04Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Jetson](), [model-deployment](), [Inference](), [Inference Performance](), [Optimization](), [Mixture of Experts (MoE)]() Tags: [agentic-ai-generative-ai](), [edge](), [edge-computing](), [how-to](), [inference](), [inference-performance](), [jetpack](), [jetson](), [jetson-orin](), [mixture-of-experts-moe](), [nvfp4](), [optimization](), [physical-ai](), [reasoning](), [thor](), [tutorial](), [vllm]() ### AI overview A tutorial on deploying and optimizing compact reasoning and agentic AI models on NVIDIA Jetson. It covers choosing models, improving inference with NVFP4 quantization and speculative decoding, serving example models with vLLM, and validating a configuration for a workload. ### Source excerpt Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run... ## Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models DevFeed: [Introducing context-aware vulnerability discovery and remediation with Cloudflare Managed Defense and OpenAI Daybreak models]() Original publisher: [Read original article]() Author: Blake Darché Published: 2026-09-03T21:03:02Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Vulnerabilities](), [Language models](), [AI-assisted coding]() Tags: [artificial-intelligence](), [cloudflare](), [code](), [developers](), [edge](), [firewall](), [gpt](), [large-language-models](), [openai](), [product-news](), [production](), [security](), [vulnerability](), [workers]() ### AI overview Cloudflare announces early access to an invitation-only service that prioritizes code vulnerabilities using production traffic, security signals, WAF context, and OpenAI Daybreak models. It proposes and validates patches or mitigations for customer review, while customers decide whether to implement them. ### Source excerpt Use production traffic and security signals to prioritize findings, prepare edge mitigations when safe, and propose code patches. By combining WAF data with OpenAI Daybreak models, Vulnerability Discovery and Remediation helps teams identify and patch the most critical threats first. ## BGP-Free Core with SR-MPLS DevFeed: [BGP-Free Core with SR-MPLS]() Original publisher: [Read original article]() Published: 2026-09-03T05:30:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [SR-MPLS](), [BGP](), [networking](), [Network](), [Routing (disambiguation)](), [Containers](), [Linux](), [GitHub]() Tags: [bgp](), [containers](), [edge](), [examples](), [github](), [is-is](), [linux](), [mpls](), [netlab](), [network](), [router](), [routing](), [sr-mpls]() ### AI overview This article demonstrates how to build a BGP-free transport core with SR-MPLS using netlab. It describes a lab topology with IS-IS, BGP, Linux container hosts, and PE routers, then shows how SR-MPLS labels provide end-to-end connectivity without BGP routes on the core router. ### Source excerpt The beauty of SR-MPLS is that it's a drop-in replacement for the traditional (LDP- or RSVP-based) MPLS control plane. For example, you could replace LDP with SR-MPLS in a network using MPLS to implement a BGP-free transport core, and it just keeps working. This scenario was the first "fun" scenario in the ITNOG10 Segment Routing workshop. The core network uses the same topology as in the previous examples; I added two hosts and BGP routing. Simplest possible network using a BGP-free core Read more ... ## WebMCP: A Browser API for Exposing Website Actions to AI Agents DevFeed: [WebMCP: A Browser API for Exposing Website Actions to AI Agents]() Original publisher: [Read original article]() Author: Avi Chawla Published: 2026-08-31T13:43:15Z Content type: article Language: en Sources: [Daily Dose of Data Science]() Topics: [browser](), [Chrome](), [Edge](), [Artificial Intelligence]() Tags: [agent](), [ai](), [browser](), [chrome](), [edge]() ### AI overview The article explains WebMCP, a browser API from the Chrome and Edge teams that allows websites to expose actions such as search, cart, checkout, and booking flows to AI agents. It contrasts this approach with screenshot-based navigation, which can be slower and fragile when page layouts change. ### Source excerpt Everything you need to understand WebMCP and expose your site's actions to an agent. ## Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter DevFeed: [Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter]() Original publisher: [Read original article]() Author: Research Special Operations Published: 2026-08-26T13:00:00Z Content type: article Language: en Sources: [Tenable Blog]() Topics: [vulnerability](), [telemetry]() Tags: [analysis](), [attacks](), [china](), [complexity](), [containers](), [datasets](), [edge](), [infrastructure](), [iran](), [ransomware](), [telemetry](), [vulnerability]() ### AI overview A joint Tenable-SentinelOne analysis finds state-sponsored and criminal actors converging on the same edge vulnerabilities. It compares exposure and remediation patterns across vendors and recommends faster patching, attack-surface reduction, and endpoint protection. ### Source excerpt A joint Tenable-SentinelOne analysis of 93 CVE-actor attribution pairs reveals that both state-sponsored actors and cybercriminals independently converge on the same edge infrastructure. Special thanks to SentinelOne® Incident Readiness & Response for their contributions to this publication. It is the shared attack surface where state-sponsored threat actors and financially motivated criminal groups independently converge -- not the province of a single adversary category, and not exclusively a nation-state problem, despite two years of headlines about China-nexus actors targeting Ivanti, Fortinet, and Palo Alto Networks. The data here tells a different and much broader story. One focused on vendors vs CVEs. Key Takeaways Two independent observation systems, Tenable exposure telemetry across thousands of customer containers and SentinelOne DFIR casework across 66 CVEs, converge 79% on the same vendor attack surfaces despite minimal CVE-level overlap. Twelve CVEs in the combined dataset have confirmed multi-nexus attribution: state-sponsored and criminal actors independently exploiting the same vulnerability, across five nexus categories (China, Russia, DPRK, Iran, ransomware). The exposure picture is flatter than the headlines suggest: Fortinet, the vendor most associated with edge-device attacks in the press, sits mid-pack on container-grain exposure (25%) -- well behind F5 (54%) and in a tight 10-point band with Check Point, Ivanti, and Citrix. 54% of customer environments running F5 products have at least one exposed, actively-exploited CVE; Citrix customers show the slowest remediation patterns at 461 days median time to patch. Remediation complexity, particularly of high priority CVEs, leads to a statistically significant 24-day remediation gap, leaving large windows of opportunity for attackers. The same product lines get hit again and again: Ivanti EPMM and Ivanti Connect Secure each show a newly exploited CVE roughly every 8.5 to 13 months. Leverage multiple d ## WebView2 is moving to a 2-week release cadence DevFeed: [WebView2 is moving to a 2-week release cadence]() Original publisher: [Read original article]() Author: Microsoft Edge Team Published: 2026-08-24T15:55:41Z Content type: release Language: en Sources: [Microsoft Edge Blog]() Topics: [releases](), [SDKs]() Tags: [edge](), [release-cadence](), [release-schedule](), [testing](), [two-week-release-cycle](), [uncategorized](), [webdriver](), [webview2]() ### AI overview WebView2 Runtime will align with Microsoft Edge's two-week major-release cadence beginning with version 153. The article explains the updated SDK release approach and recommends preview-channel testing and automated validation for WebView2 apps. ### Source excerpt Microsoft Edge is moving to a two-week release cycle, and the WebView2 is moving to a 2-week release cadence appeared first on Microsoft Edge Blog. ## What Is an NPU Actually For? CPU vs GPU vs NPU in Frigate DevFeed: [What Is an NPU Actually For? CPU vs GPU vs NPU in Frigate]() Original publisher: [Read original article]() Author: Techno Tim Published: 2026-08-22T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [cpu](), [object-detection](), [GPU](), [real-time](), [benchmarking](), [Benchmark](), [Hardware](), [Inference](), [intel](), [Latency](), [cloud-infrastructure]() Tags: [ai](), [benchmark](), [comparison](), [cpu](), [edge](), [gpu](), [hardware](), [inference](), [intel](), [latency](), [object-detection](), [real-time](), [video]() ### AI overview The article compares CPU, integrated GPU, and NPU performance for continuous real-time object detection in Frigate using OpenVINO, four repeatable camera streams, and the same YOLOv9 model. It finds that the NPU did not replace the GPU but matched the integrated GPU while using less total system power and leaving more GPU capacity available for other work. ### Source excerpt NPUs are showing up in more computers, but their job is still harder to explain than the CPU or GPU. I know what I use a CPU for. I know what I use a GPU for. The NPU was kind of a mystery to me. To find out where it actually fits, I ran the same real-time object detection workload on the CPU, GPU, and NPU inside the MINISFORUM MS-03. The test used Frigate, OpenVINO, four repeatable camera st... ## Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents DevFeed: [Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-08-19T22:22:37Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Holoscan](), [AI-assisted coding](), [Command-line interface](), [Artificial Intelligence](), [real-time](), [Medical imaging](), [Robotics]() Tags: [agentic-ai-generative-ai](), [agents](), [ai-coding](), [clara](), [cli](), [computer-vision-video-analytics](), [edge](), [edge-computing](), [featured](), [healthcare-life-sciences](), [holoscan](), [medical-devices](), [medical-imaging](), [monai](), [nvidia](), [real-time](), [robotics](), [skills](), [video-analytics]() ### AI overview An NVIDIA Holoscan developer article about building real-time edge AI applications with CLI skills and AI coding agents, covering use cases including medical imaging and robotics. ### Source excerpt NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... ## A revisit of remote Spectre attacks on Cloudflare Workers DevFeed: [A revisit of remote Spectre attacks on Cloudflare Workers]() Original publisher: [Read original article]() Author: Albert Pedersen Published: 2026-08-19T16:00:28Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [vulnerability](), [Processes](), [out-of-process]() Tags: [attacks](), [cloudflare](), [cloudflare-workers](), [edge](), [javascript](), [linux](), [memory](), [processes](), [remote](), [research](), [sandbox](), [security](), [vulnerabilities]() ### AI overview Cloudflare reassessed remote Spectre attacks against Workers and found that a limitation in Dynamic Process Isolation allowed reliable data leakage in production. The attack is already mitigated through improved isolation measures, including the V8 Sandbox and in-process isolation. ### Source excerpt In 2024 and 2025, we reassessed remote Spectre attacks on our Workers infrastructure. We share details about the new attack primitives like Spectre gadgets, remote timers, achieving co-location and how new defenses further harden Cloudflare Workers. ## Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control DevFeed: [Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-08-19T16:00:00Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Cosmos](), [AI, ML & Data Engineering]() Tags: [agentic-ai-generative-ai](), [cosmos](), [deployment](), [edge](), [edge-computing](), [featured](), [foundation-models](), [inference](), [jetson](), [latency](), [nvidia](), [on-device](), [physical-ai](), [post-training](), [robotics](), [robotics-simulation](), [robots](), [simulation-modeling-design](), [thor](), [tutorial]() ### AI overview A tutorial on post-training NVIDIA Cosmos 3 Edge as an on-device robot manipulation policy, serving it on Jetson Thor, running receding-horizon inference, and evaluating it in closed-loop simulation. ### Source excerpt Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for... ## Encrypted Client Hello (ECH) is now supported on Vercel CDN DevFeed: [Encrypted Client Hello (ECH) is now supported on Vercel CDN]() Original publisher: [Read original article]() Author: Faryal Siddiqui Published: 2026-08-14T16:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Cryptography]() Tags: [cdn](), [chrome](), [dns](), [edge](), [encryption](), [firefox](), [tls](), [vercel]() ### AI overview Vercel CDN now supports Encrypted Client Hello for domains managed by Vercel DNS, encrypting SNI during the TLS handshake. The rollout begins selectively in the US for limited TLDs and will expand over time. ### Source excerpt Vercel CDN now supports Encrypted Client Hello (ECH) for domains managed by Vercel DNS. ECH encrypts the Server Name Indication (SNI) in the TLS handshake, the last part of an HTTPS connection that revealed which hostname a client was connecting to. With ECH, network observers see a connection to Vercel's shared ECH hostname, vercel-ech.com. ECH is managed at the platform level and automatically enabled selectively where supported, starting in the US for a limited number of TLDs, and expanding to more TLDs and regions over time. Recent versions of Chrome, Edge, and Firefox support Encrypted Client Hello. Learn more about ECH and how Vercel CDN protects your application in the CDN encryption documentation. Read more ## \[local\] Microsoft Edge 150.0.4078.48 - RCE DevFeed: [\[local\] Microsoft Edge 150.0.4078.48 - RCE]() Original publisher: [Read original article]() Author: banyamer Published: 2026-08-10T00:00:00Z Content type: article Language: en Sources: [Exploit-DB.com RSS Feed]() Topics: [Edge](), [Exploit]() Tags: [cve](), [cve-2026-58289](), [edge](), [exploit](), [local](), [microsoft-edge](), [multiple](), [rce]() ### AI overview An exploit entry identifies a local remote-code-execution issue affecting Microsoft Edge version 150.0.4078.48, associated with CVE-2026-58289 and described as applying to multiple platforms. ### Source excerpt Microsoft Edge 150.0.4078.48 - RCE ## How to configure Cloudinary video transcoding on Webflow Cloud DevFeed: [How to configure Cloudinary video transcoding on Webflow Cloud]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-08-08T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [webflow](), [Transcodings](), [Nextra](), [Streaming](), [REST API](), [Cloudflare Workers]() Tags: [edge](), [guides](), [how-to](), [next-js](), [node-js](), [rest-api](), [streaming](), [webflow]() ### AI overview A practical guide to configuring Cloudinary video transcoding on Webflow Cloud. It explains how to use the REST API, eager transformations, optimized delivery URLs, and HLS adaptive streaming on the edge runtime without the Node.js SDK. ### Source excerpt Learn how to upload videos to Cloudinary from a Webflow Cloud Next.js app and deliver optimized video over CDN using plain fetch on the edge runtime. ## Moving the Microsoft Edge extensions ecosystem forward with Manifest Version 3 DevFeed: [Moving the Microsoft Edge extensions ecosystem forward with Manifest Version 3]() Original publisher: [Read original article]() Author: Microsoft Edge Team Published: 2026-08-07T15:54:07Z Content type: news Language: en Sources: [Microsoft Edge Blog]() Topics: [Edge](), [Extension](), [migration](), [Chromium](), [Microsoft](), [Security]() Tags: [chromium](), [developer](), [ecosystem](), [edge](), [extensions](), [manifest](), [microsoft](), [microsoft-edge](), [migration](), [security](), [uncategorized]() ### AI overview Microsoft Edge announces the next phase of its transition from Manifest V2 to Manifest V3 for extensions. Consumer migration begins in August 2026 and is expected to finish by the end of 2026, followed by enterprise deprecation in early 2027. ### Source excerpt Back in 2020, we committed to Manifest Version 3 (MV3) as the future direction of the Chromium extensions platform. Since then, we've worked with developer The post Moving the Microsoft Edge extensions ecosystem forward with Manifest Version 3 appeared first on Microsoft Edge Blog. ## The 2-Second Rule: How to make your website feel like magic in 2026 DevFeed: [The 2-Second Rule: How to make your website feel like magic in 2026]() Original publisher: [Read original article]() Author: Louise North Published: 2026-08-04T11:43:00Z Content type: article Language: en Sources: [Web Designer Depot]() Topics: [Web](), [Latency](), [browser](), [Workers](), [Compression](), [Artificial Intelligence](), [Edge]() Tags: [architecture](), [avif-images](), [browser](), [compression](), [core-web-vitals](), [developers](), [digital-hospitality](), [edge](), [edge-computing](), [frontend-development](), [guide](), [http3](), [inclusive-design](), [interaction-to-next-paint](), [javascript-optimization](), [mobile-optimization](), [page-speed-optimization](), [performance](), [predictive-ai](), [site-reliability](), [speed](), [technical-seo](), [user-experience](), [ux-design-2026](), [web-development](), [web-development-trends](), [web-performance](), [website-usability](), [workers](), [zero-latency-ux]() ### AI overview A guide to making websites feel faster and more responsive by focusing on interaction performance, Web Workers, AVIF images, and responsive image delivery. It presents speed as an important part of user experience in 2026. ### Source excerpt In 2026, a "pretty" website is no longer enough--if it doesn't feel instant, it's invisible. This guide reveals how the world's top developers are using predictive AI and "Edge" architecture to kill the loading bar for good. ## Vercel WAF for Blob is now generally available DevFeed: [Vercel WAF for Blob is now generally available]() Original publisher: [Read original article]() Author: Agustin Falco Published: 2026-08-03T17:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Firewall](), [Vercel](), [Security](), [Edge]() Tags: [documentation](), [edge](), [firewall](), [production](), [security](), [vercel]() ### AI overview Vercel WAF for Blob is generally available for production use on all plans. It protects Blob stores with custom firewall rules that can deny, challenge, or rate-limit requests based on IP address, country, and path. Rules run at Vercel's edge, blocking unwanted requests before data transfer and billing occur. ### Source excerpt Vercel WAF for Blob is now generally available and supported for production use on all plans. If you protected a store during the beta, nothing has changed: your rules and setup carry over exactly as they are. Vercel WAF protects a Blob store with custom rules, the same kind you use to guard your deployments. Rules that match on properties like IP address, country, and path can deny, challenge, or rate limit requests to your stored objects. This requires no changes to your code, your blob URLs, or how you use @vercel/blob. Rules are evaluated at Vercel's edge, so a denied request is turned away before any data transfer occurs. Unwanted traffic to AI-generated media, user uploads, or paid downloads never reaches your store and never generates a bill. To enable protection, open your Blob store's Settings tab, and in the Firewall section select Protect your store, then Enable firewall. This connects the store to a dedicated team-wide project where your Blob firewall rules live, shared by every store you protect. Read the Blob security documentation to protect a store. Read more ## Edge Config is now Global Config DevFeed: [Edge Config is now Global Config]() Original publisher: [Read original article]() Author: Luis Meyer Published: 2026-07-29T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [data](), [migration](), [SDKs]() Tags: [data](), [edge](), [feature-flags](), [global](), [migration](), [server](), [update](), [vercel]() ### AI overview Vercel renamed Edge Config to Global Config and introduced a replacement server-side SDK and environment variable. The underlying store is unchanged, while limits have increased and existing projects remain compatible. ### Source excerpt Edge Config is now Global Config. This rename better reflects that it is a globally replicated data store with ~1ms reads in every region, built for the configuration that applications read at runtime, such as feature flags, redirects, and experimentation settings. Global Config stores can now hold up to 1 MB on every plan, and Pro and Enterprise teams can create unlimited stores with more writes per day. The rename also ships with a new server-side SDK, @vercel/global-config, and a new environment variable. What changed Name: Global Config is the new name for Edge Config. The store itself is unchanged. Package: @vercel/global-config replaces @vercel/edge-config as a drop-in replacement. Environment variable: Connecting a Global Config store to a project creates a GLOBAL_CONFIG environment variable instead of EDGE_CONFIG. Limits: Raised on every plan. Pricing is unchanged. What you need to do Existing projects: no action required. Deployments, connected stores, and the EDGE_CONFIG environment variable continue to work. Upgrading proactively is safe. The new SDK reads GLOBAL_CONFIG by default and falls back to EDGE_CONFIG, so it works with stores connected before and after the rename. You can switch packages today without touching your stores. Creating stores and pushing new config values work without upgrading. Neither depends on which SDK version your project uses. Upgrade before connecting new stores to a project. Connecting a store now creates a GLOBAL_CONFIG environment variable, and the legacy SDK only reads EDGE_CONFIG by default. A project still on @vercel/edge-config cannot read a newly connected store. To upgrade, install the new package and update imports: New limits Limit Hobby Pro Enterprise Stores 1 (unchanged) Unlimited (was 3) Unlimited (was 10) Writes 250/month (unchanged) 100/hour (was 480/day) 100/hour (was 480/day) Store size 1 MB (was 8 KB) 1 MB (was 64 KB) 1 MB (was 512 KB) Pricing is unchanged at $3 per 1,000,000 reads and $1 per 100 writes. Se [Next page]()