# server Published articles for server. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Fujitsu ready to sell its custom 'Monaka' Arm chip, maybe to rival server-makers DevFeed: [Fujitsu ready to sell its custom 'Monaka' Arm chip, maybe to rival server-makers]() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-17T06:20:33Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Arm](), [Server]() Tags: [arm](), [fujitsu](), [hpc](), [inference](), [server](), [sovereign-cloud](), [supercomputer](), [systems]() ### AI overview The article reports that Fujitsu is preparing to sell its custom Monaka Arm chip to other server makers, with potential interest from cloud and inference-focused customers. ### Source excerpt Clouds, the sovereign-sensitive, and the inferencing-interested are also about to get sales calls ## Khan Academy Uses Local Storage and Request Queues to Handle Offline Actions DevFeed: [Khan Academy Uses Local Storage and Request Queues to Handle Offline Actions]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-08-17T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [LocalStorage](), [client](), [Code](), [Internet](), [servers]() Tags: [architecture](), [change](), [code](), [engineering](), [function](), [hints](), [linear](), [local](), [news](), [offline](), [queue](), [request](), [server](), [web-frontend]() ### AI overview This article explains how Khan Academy addressed offline hint cheating by changing the client's request architecture. Actions are stored in local storage and placed in a queue for retry when connectivity returns, with linear backoff to avoid repeated requests during outages. ### Source excerpt By Phillip Lemons The problem Recently, a number of students on Khan Academy found a way to cheat ... Read more ## MCP went stateless: What changed in the 2026-07-28 spec DevFeed: [MCP went stateless: What changed in the 2026-07-28 spec]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol](), [migration](), [HTTP](), [servers](), [client]() Tags: [api](), [client](), [http](), [load-balancer](), [mcp](), [replacement](), [request](), [routing](), [server](), [servers](), [sessions](), [stateless](), [stream]() ### AI overview The 2026-07-28 MCP specification removes protocol-level sessions, the initialize handshake, and stream resumability, making the protocol behave more like an ordinary HTTP API. Most migrations are mechanical, but lost stream requests can cause reliability regressions or duplicated side effects when retried, so side-effecting tools need application-level idempotency keys. The elicitation change also requires architectural rework. ### Source excerpt Sessions, the initialize handshake, and stream resumability are all gone. Here is what replaced them, and what breaks if you ignore it. ## Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight DevFeed: [Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight]() Original publisher: [Read original article]() Author: Jacob Van Ewyk Published: 2026-09-15T21:00:37Z Content type: opinion Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Server](), [Automation](), [configuration](), [API](), [legacy]() Tags: [api](), [automation](), [cisco](), [data-center](), [end-of-life](), [eol](), [infrastructure](), [legacy](), [lifecycle](), [management](), [server]() ### AI overview Cisco describes the legacy of Cisco UCS Manager and positions Cisco Intersight as the strategic platform for future Cisco UCS software management. The article also outlines announced end-of-sale and end-of-life milestones, including a planned Last Date of Support of December 31, 2030, subject to applicable contracts and service terms. ### Source excerpt Cisco UCS Manager shaped 17 years of infrastructure management. Now, with its end-of-life announced, Cisco Intersight carries that foundation forward with centralized visibility, automation, and scale. Learn the key dates for the UCS Manager EOL. ## Micron Shows off 512GB DDR5 RDIMM: 12TB per Dual-Socket Server at 9,200 MT/s, Volume Production in 2H 2027 DevFeed: [Micron Shows off 512GB DDR5 RDIMM: 12TB per Dual-Socket Server at 9,200 MT/s, Volume Production in 2H 2027]() Original publisher: [Read original article]() Author: Brian Beeler Published: 2026-09-15T20:18:17Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ddr5](), [servers](), [intel](), [cpu]() Tags: [capacity](), [ddr5](), [enterprise](), [generation](), [intel](), [memory](), [modules](), [performance](), [production](), [release](), [server](), [speed](), [volume]() ### AI overview Micron demonstrated a 512GB DDR5 RDIMM rated for up to 9,200 MT/s. The module can provide 12TB of memory in a 24-slot dual-socket server, with volume production scheduled for the second half of 2027. AMD and Intel are validating it for next-generation server platforms. ### Source excerpt Micron has demonstrated a 512GB DDR5 RDIMM running on multiple server platforms, which it calls the world's first module at that capacity, and says AMD and Intel are both validating it for their next-generation server platforms. The module is rated for speeds up to 9,200 MT/s, and in a 24-slot dual-socket server it puts 12TB The post Micron Shows off 512GB DDR5 RDIMM: 12TB per Dual-Socket Server at 9,200 MT/s, Volume Production in 2H 2027 appeared first on StorageReview.com. ## Astera Labs Releases Leo 2 CXL Memory Controllers and Leo X Controller for Rackscale Fabric-Attached Memory DevFeed: [Astera Labs Releases Leo 2 CXL Memory Controllers and Leo X Controller for Rackscale Fabric-Attached Memory]() Original publisher: [Read original article]() Author: Ryan Smith Published: 2026-09-15T17:00:48Z Content type: article Language: en Sources: [ServeTheHome]() Topics: [pcie](), [systems](), [datacenter]() Tags: [astera-labs](), [cxl](), [data-center](), [ddr4](), [ddr5](), [leo](), [memory](), [other-components](), [pcie](), [releases](), [server]() ### AI overview Astera Labs is launching Leo 2 CXL smart memory controllers with DDR4 support and CXL 3.2/PCIe Gen6 connectivity, alongside the Leo-X controller for fabric-attached memory in rack-scale systems. ### Source excerpt Astera Labs is launching a new generation of Leo smart memory controllers. The Leo 2 series adds support for CXL 3.2 and PCIe Gen6, while the ambitious Leo X brings the ability to attach memory expanders directly to the fabric networks of AI accelerators The post Astera Labs Releases Leo 2 CXL Memory Controllers and Leo X Controller for Rackscale Fabric-Attached Memory appeared first on ServeTheHome. ## How end-to-end SLO monitoring detected a livestream failure that component dashboards missed DevFeed: [How end-to-end SLO monitoring detected a livestream failure that component dashboards missed]() Original publisher: [Read original article]() Author: Whatnot Engineering Published: 2026-09-15T16:31:01Z Content type: article Language: en Sources: [Whatnot Engineering]() Topics: [dashboards](), [observability](), [incident](), [Monitoring](), [Web](), [client](), [Network]() Tags: [dashboards](), [distributed-systems](), [incident](), [monitoring](), [observability](), [security](), [server](), [site-reliability-engineer](), [software-engineering](), [web]() ### AI overview The article examines a June 8, 2026 incident in which a third-party client-side security script fetched from a provider CDN added URL validation that the video provider did not pass, causing black screens for newly loaded web clients. Most component-level dashboards remained green, while end-to-end service-level objective monitoring detected the broken livestream experience and paged the owning teams within five minutes. ### Source excerpt Karol Gil | Reliability Platform (Poland) On June 8, 2026, newly loaded web clients began showing black screens instead of livestream video. For our platform, that's a serious problem: it's pretty hard to sell Pokémon cards that no one can see. It turned out that a third-party script we use for client-side security monitoring wasn't bundled with our release, but was rather fetched live from the provider's CDN. When the provider updated the script all new web clients fetched it, and it included an additional URL validation which our video provider didn't pass. The result? Black screens for users of the affected web clients, with most internal dashboards staying green. 3,000 users were impacted in the first 30 minutes of the incident. One system did catch it. Our end-to-end service-level objective (E2E SLO) monitoring was already in production and paged the owning teams within five minutes. Here's what it saw. The real problem Most of our dashboards stayed green because they monitor component-level health: a server, an endpoint, a specific function. These are all useful, but can all be healthy while the actual user experience is completely broken. This problem gets worse the more external dependencies there are, or the more sophisticated an experience you want to deliver. In complex, integrated product experiences like ours, a "small" problem can have an outsize impact on the user experience. Measuring this requires a different approach to observability, namely, to model the user journey across multiple surfaces that must be true for a customer to have a good experience. So how do we measure this in a complex distributed application? Joining a livestream is not one thing Joining a livestream sounds like one action, but the user expects at least three things: Video to be playing Auction details to be shown Chat to be visible and up to da Each of those can succeed or fail completely independently of the other two. Our video depends on third-party providers and CDN netwo ## How WebRTC Scales: Signaling, NAT Traversal, and the Mesh/SFU/MCU Tradeoff DevFeed: [How WebRTC Scales: Signaling, NAT Traversal, and the Mesh/SFU/MCU Tradeoff]() Original publisher: [Read original article]() Author: Karan Pratap Singh Published: 2026-09-15T15:57:39Z Content type: article Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [WebRTC](), [real-time](), [browsers](), [API](), [JavaScript](), [WebSocket](), [Firewall](), [Network](), [servers]() Tags: [api](), [browsers](), [decoding](), [distributed-system](), [firewall](), [http](), [javascript](), [network](), [networking](), [real-time](), [server](), [webrtc]() ### AI overview This article explains how WebRTC enables browsers to exchange audio, video, and data directly. It covers the three WebRTC APIs, signaling through WebSockets or HTTP, NAT traversal using ICE, STUN, and TURN, and the mesh, SFU, and MCU approaches to scaling media delivery. ### Source excerpt Web Real-Time Communication (or WebRTC) is the open standard browsers use to send audio, video, and data straight to each other. There's no plugin or native app, nothing beyond an API that every brows ## AI agent approval workflows: handling edits and retries DevFeed: [AI agent approval workflows: handling edits and retries]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:02:39Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [AI Agent](), [Authorization](), [Tool]() Tags: [agent](), [authorization](), [execution](), [how-to](), [retry](), [review](), [server](), [tool](), [workflows]() ### AI overview This guide explains how to add human approval to AI agent tool calls with WorkOS Airlock. It covers binding approval to an exact request, persisting the proposed action, resuming execution after approval, and recovering when a provider response is uncertain. ### Source excerpt Add human approval to AI agent tool calls. Learn how to review exact requests, resume execution, and handle edits and retries with Airlock. ## Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE DevFeed: [Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-09-15T15:00:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Federated Learning](), [Docker](), [Kubernetes](), [Nvidia](), [Server](), [dataset](), [Deployment]() Tags: [architecture](), [compute](), [configuration](), [container](), [data-analytics-processing](), [data-science](), [dataset](), [deployment](), [docker](), [docker-container](), [federated-learning](), [gpu](), [job](), [kubernetes](), [nvidia](), [nvidia-flare](), [server]() ### AI overview This article explains how NVIDIA FLARE scales federated learning across sites with different infrastructure, including Docker, Kubernetes, and Slurm. Its two-layer architecture separates persistent federation services from on-demand job execution, while allowing each site to retain local control over compute, data, secrets, and scheduling. ### Source excerpt Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the... ## One or two nameservers? DevFeed: [One or two nameservers?]() Original publisher: [Read original article]() Author: Geoff Huston Published: 2026-09-15T06:01:49Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [Query (disambiguation)](), [Server](), [Caching]() Tags: [2026](), [africa](), [article](), [china](), [dns](), [europe](), [experiment](), [india](), [internet](), [ipv4](), [ipv6](), [measurement](), [measurements](), [recursive-resolver](), [repeat](), [responses](), [server](), [tech-matters]() ### AI overview This article reports an experiment testing whether serving a DNS zone with two authoritative dual-stack nameservers changes repeated queries. Compared with one nameserver, two nameservers increased the single-query completion rate from 58% to 71% and reduced the average queries per test from 3.43 to 2.57. ### Source excerpt Do multiple dual-stack nameservers increase or decrease repeat DNS queries? The results of this experiment were a complete surprise. ## Agent session chains that can't escalate DevFeed: [Agent session chains that can't escalate]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Authorization](), [API](), [API keys](), [systems]() Tags: [agent](), [api](), [auth](), [authorization](), [backend](), [multi-agent](), [multi-agent-systems](), [permission](), [server](), [systems]() ### AI overview The article explains how Agent Auth session chaining lets an agent create separately scoped child sessions for subtasks. Each child records its parent, uses its own access and single-use refresh tokens, can be revoked independently, and cannot outlive the root session. The supplied text also states that the backend creates the chain server-side using an API key. ### Source excerpt An agent can open a child session of itself for a sub-task. The chain re-derives authority at every hop and can never outlive its root. ## New hardware device can RAM into encrypted memory, expose your data DevFeed: [New hardware device can RAM into encrypted memory, expose your data]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-14T18:31:33Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Hardware](), [Security](), [Server](), [Cybersecurity]() Tags: [amd](), [confidential-computing](), [ddr5](), [ddrop](), [hardware](), [intel](), [memory](), [security](), [server]() ### AI overview A new hardware attack can compromise encrypted DDR5 memory and expose data. The attack requires physical access to the server. ### Source excerpt Attackers would need physical access to the server to pull off the DDR5 trick ## AMD Preparing Linux For Enhanced SMT Protection "ESMTP" For EPYC VMs DevFeed: [AMD Preparing Linux For Enhanced SMT Protection "ESMTP" For EPYC VMs]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-14T18:03:38Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux](), [Security](), [Hardware](), [cpu](), [Server](), [Cloud]() Tags: [attacks](), [cloud](), [desktop-linux](), [hardware](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [performance](), [phoronix](), [phoronix-test-suite](), [processors](), [security](), [server](), [ubuntu-benchmarks](), [ubuntu-hardware](), [virtual-machines]() ### AI overview AMD engineers are preparing Linux kernel support for Enhanced SMT Protection (ESMTP), a hardware-enforced security feature for EPYC virtual machines using SEV-SNP. ESMTP restricts simultaneous multithreading sibling threads to trusted vCPUs from the same guest or idle host threads, reducing side-channel risks from untrusted host or guest workloads. Support is also needed in QEMU and OVMF, and the feature is opt-in because it has a performance cost. ### Source excerpt AMD engineers today sent out patches on the Linux kernel mailing list for beginning to enable Enhanced SMT Protection "ESMTP" for better security with virtual machines running atop EPYC server processors with SEV-SNP... ## I Added Break-Glass Accounts Before My Home Lab Locked Me Out DevFeed: [I Added Break-Glass Accounts Before My Home Lab Locked Me Out]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-14T12:16:15Z Content type: article Language: en Sources: [Virtualization Howto]() Topics: [Homelab](), [Authentication](), [Single sign-on (SSO)](), [Docker](), [Database](), [networking](), [Server](), [Amazon Route 53]() Tags: [authentication](), [container](), [database](), [dns](), [docker](), [home-lab](), [home-server](), [infrastructure](), [networking](), [server](), [sso]() ### AI overview The article explains why a home lab that centralizes authentication through single sign-on can become inaccessible during an outage. It introduces "break glass" accounts as a recovery measure and emphasizes treating the authentication service as infrastructure with dependencies such as its application, database, certificates, networking, reverse proxy, and DNS. ### Source excerpt One of the coolest things that you can do is centralize your authentication in the home lab. So, instead of having all kinds of separate usernames and passwords that are... The post I Added Break-Glass Accounts Before My Home Lab Locked Me Out appeared first on Virtualization Howto. ## Configuring Management IP Addresses to Virtual Network Devices DevFeed: [Configuring Management IP Addresses to Virtual Network Devices]() Original publisher: [Read original article]() Published: 2026-09-14T05:29:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [networking](), [configuration](), [Orchestration](), [Vagrant](), [Cloud](), [ssh]() Tags: [cli](), [cloud](), [devices](), [dhcp](), [ip](), [ipv4](), [ipv6](), [management](), [netlab](), [network](), [networking](), [orchestration](), [server](), [ssh]() ### AI overview The article explains how to assign predictable management IP addresses to virtual network devices. It contrasts manual console-based setup with automated assignment through orchestration, containers, DHCPv4/DHCPv6, custom Vagrant boxes, and IPv6 mechanisms such as SLAAC. ### Source excerpt It goes without saying that if you want to configure (virtual) network devices with any semi-sane configuration mechanism1, the device must have a working IP address. Here's the time-honored method2 to assign an IP address to a virtual network device: Start the virtual machine (using a GUI)3 Open a new window: either a telnet session to the virtual console port or a full-blown virtual console (GUI) session. Manually configure the IP address, the SSH server, and the user credentials on the first interface. Read more ... ## Seven Reliability Tests for Home Lab Services DevFeed: [Seven Reliability Tests for Home Lab Services]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-09-13T12:34:15Z Content type: tutorial Language: en Sources: [Virtualization Howto]() Topics: [Homelab](), [Self-hosted](), [Containers](), [Network](), [Proxmox]() Tags: [home-lab](), [home-server](), [network](), [proxmox](), [self-hosted](), [server]() ### AI overview The article presents seven reliability tests for home lab services, including disconnecting Internet access and stopping one container in a redundant setup. It explains how these tests can reveal dependencies on external resources and weaknesses in DNS and service design. ### Source excerpt When it comes to putting a new service into the home lab that is something I will feel like I can rely on and trust, it has to be able... The post I Don't Trust a Home Lab Service Until It Passes These 7 Tests appeared first on Virtualization Howto. ## d-Matrix Joins the NVIDIA NVLink Fusion Platform DevFeed: [d-Matrix Joins the NVIDIA NVLink Fusion Platform]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-12T21:42:59Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [d-matrix](), [NVLink](), [Nvidia](), [xpu](), [AI Inference](), [datacenter](), [networking](), [cpu](), [Spectrum-X]() Tags: [accelerators](), [ai](), [ai-accelerator](), [ai-inference](), [d-matrix](), [data-center](), [ethernet](), [networking](), [nvidia](), [nvidia-vera](), [nvlink](), [server](), [xpu]() ### AI overview d-Matrix and NVIDIA announced that d-Matrix will bring its next-generation XPUs to the NVLink Fusion platform. The integration is intended to support scaling from individual Raptor XPUs to larger rack-scale and clustered deployments for AI inference, alongside NVIDIA networking and CPU technologies. ### Source excerpt d-Matrix and NVIDIA announced that d-Matrix will use NVLink Fusion to scale up and out with its next-gen Raptor AI accelerators The post d-Matrix Joins the NVIDIA NVLink Fusion Platform appeared first on ServeTheHome. ## Linux server performance: Is disk I/O slowing your application? DevFeed: [Linux server performance: Is disk I/O slowing your application?]() Original publisher: [Read original article]() Author: Hayden James Published: 2026-09-12T16:11:54Z Content type: tutorial Language: en Sources: [Hayden James]() Topics: [Linux](), [IO](), [Server](), [Command-line interface](), [Processes](), [NVMe]() Tags: [blog](), [command-line](), [cpu](), [linux](), [load](), [mysql](), [nvme](), [performance](), [processes](), [request](), [server](), [ssd](), [storage](), [sysadmins](), [terminal]() ### AI overview This tutorial explains how disk I/O bottlenecks can cause high Linux load averages even when CPU usage is low. It shows how to use top, atop, and iotop on a LEMP web server, including per-core I/O wait measurements, to identify storage-related application slowdowns. ### Source excerpt If your Linux server is bogged down by disk I/O, your first step may often be to use the top command in the terminal to check load averages. Continue reading... ## Scaling real-time AI agents with session-aware load balancing DevFeed: [Scaling real-time AI agents with session-aware load balancing]() Original publisher: [Read original article]() Author: Simerus Mahesh Published: 2026-09-12T11:04:33.891311Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [real-time](), [Artificial Intelligence](), [Streaming](), [Server](), [gRPC](), [WebSocket](), [cpu](), [Concurrent Programming]() Tags: [ai-agents](), [concurrent](), [cpu](), [real-time](), [routing](), [server](), [streaming]() ### AI overview This article explains why real-time AI agents require session-aware load balancing. Long-lived, stateful bidirectional streams make request rates and CPU utilization insufficient measures of backend capacity. The proposed approach tracks active sessions at the application level and combines session counts with CPU metrics to distribute traffic and avoid bottlenecks. ### Source excerpt Real-time AI agents break traditional request-response load balancing paradigms because they rely on long-lived, stateful bidirectional streams that obscure true server capacity. To solve this, developers must implement application-level session tracking directly within the runtime to accurately measure the committed concurrent workload of active conversations. By feeding these precise session counts alongside standard CPU utilization metrics into a hybrid routing algorithm, infrastructure can effectively distribute stateful AI traffic and prevent individual backend bottlenecks. ## How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3) DevFeed: [How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3)]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [OpenAI](), [Network](), [GPU](), [Server](), [Cache](), [API](), [Oracle Database]() Tags: [api](), [architecture](), [build](), [cache](), [capacity](), [database](), [debugging](), [execution](), [gateway](), [gpu](), [network](), [object](), [openai](), [performance](), [platform-engineering](), [server](), [servers](), [sre](), [storage](), [testing](), [warp]() ### AI overview The second session describes turning an architecture for OpenAI's 15 Tbps system into a delivery plan. It covers coordinated capacity planning across network, gateway, server, storage, and database teams; caching object names through the Inventory API; delivery tracking; and performance validation. Early WARP testing found packet drops caused by an unsuitable MTU of 1500, which was changed to 9100. ### Source excerpt Architecture was only the first week. Session 2 is about the build: capacity, execution discipline, and the first signs that performance would be the real test. ## How to set up Postmark email templates for Webflow form submissions DevFeed: [How to set up Postmark email templates for Webflow form submissions]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-09-12T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [webflow](), [Forms](), [Cloud](), [Next.js](), [API](), [App](), [Server]() Tags: [api](), [app](), [building](), [cloud](), [developer](), [forms](), [guide](), [guides](), [how-to](), [learn](), [next-js](), [server](), [webflow]() ### AI overview A practical guide to moving email copy out of a Webflow Cloud app and into Postmark templates. It explains the prerequisites and focuses on keeping Webflow form field names aligned with Postmark template placeholders so the Route Handler sends data instead of hard-coded email text. ### Source excerpt Learn how to send Webflow form submissions through Postmark templates. ## Your built-in router VPN might be more trouble than it's worth DevFeed: [Your built-in router VPN might be more trouble than it's worth]() Original publisher: [Read original article]() Author: Andrew Cunningham Published: 2026-09-11T16:00:00Z Content type: opinion Language: en Sources: [Blog on Tailscale]() Topics: [networking](), [Networks](), [Server](), [Hardware]() Tags: [nas](), [networks](), [performance](), [routing](), [security](), [server]() ### AI overview The article argues that built-in VPN servers on routers and NAS devices can be unreliable and difficult to use, especially on restrictive networks. It presents Tailscale as a better option for addressing those connection limitations. ### Source excerpt Built-in VPNs are easy to start--then harder to live with. ## Higher prices can't crimp server sales as AI drives demand DevFeed: [Higher prices can't crimp server sales as AI drives demand]() Original publisher: [Read original article]() Author: Dan Robinson Published: 2026-09-11T14:27:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Server]() Tags: [ai](), [ai-and-ml](), [enterprise](), [government](), [idc](), [pc](), [sales](), [server](), [systems]() ### AI overview Server shipments are rising as AI demand drives spending by hyperscalers, enterprises, and government buyers. ### Source excerpt Shipments rise with enterprise and government buyers joining the hyperscaler spending spree [Next page]()