# mesh Published articles for mesh. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How Meshtastic Metrics Exporter Turned Eight Prometheus Queries Into One with Tiger Data DevFeed: [How Meshtastic Metrics Exporter Turned Eight Prometheus Queries Into One with Tiger Data]() Original publisher: [Read original article]() Author: Andrew Stebbins Published: 2026-09-16T12:44:25Z Content type: article Language: en Sources: [Timescale]() Topics: [meshtastic](), [Prometheus](), [Database](), [data]() Tags: [database](), [mesh](), [meshtastic](), [metrics](), [prometheus](), [radio](), [series](), [timescaledb]() ### AI overview A case study describes how Meshtastic Metrics Exporter consolidated eight Prometheus queries into one Postgres database, reducing more than 500,000 metric series for 10,000 mesh radio nodes. ### Source excerpt Meshtastic Metrics Exporter reduced 500K+ Prometheus metric series to one Postgres database: consolidated eight queries into one with Tiger Data for 10,000 mesh radio nodes. ## How to use Google microbenchmarks for evaluating TPU performance DevFeed: [How to use Google microbenchmarks for evaluating TPU performance]() Original publisher: [Read original article]() Author: Junjie Qian; Chi Shuen Lee; Yu-Hsuan (Amy) Lin; Haixiong (Sean) Wang Published: 2026-09-12T11:04:33.891311Z Content type: tutorial Language: en Sources: [Google Developers Blog]() Topics: [Google AI](), [Inference Performance]() Tags: [architecture](), [benchmarks](), [compute](), [developers](), [google](), [guides](), [hardware](), [how-to](), [kernel](), [machine-learning](), [memory](), [mesh](), [metrics](), [model](), [open](), [open-source](), [performance](), [scale](), [software](), [tpu]() ### AI overview A tutorial on using Google's TPU microbenchmark suite to measure network, compute, memory, host-transfer, and attention performance. The results can establish a Roofline baseline and guide workload-specific optimization. ### Source excerpt Google's open-source TPU microbenchmark suite provides developers with granular performance metrics across Network, Compute, HBM, Host Transfer, and Attention components to validate real-world hardware capabilities. By leveraging these benchmarks to establish a Roofline model, engineers can accurately diagnose whether their machine learning workloads are compute-, memory-, or network-bound. This empirical baseline directly guides targeted software optimizations--such as kernel tuning, mesh sharding, and rematerialization--to maximize hardware utilization for large-scale model deployments. ## Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs DevFeed: [Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-09T17:10:12Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [Arm](), [cpu](), [datacenter]() Tags: [architecture](), [arm](), [armv9](), [compute](), [connectivity](), [core](), [cpu](), [ddr5](), [memory](), [mesh](), [neoverse](), [neoverse-css](), [neoverse-n4](), [pcie](), [server](), [server-cpus]() ### AI overview Arm announced the Neoverse CSS N4 compute subsystem for future server CPUs and DPUs. The 3nm design supports 8 to 128 cores per die, Armv9.3, PCIe Gen7, LPDDR6, DDR5, MRDIMMs, and chiplet connectivity. ### Source excerpt The new Arm Neoverse CSS N4 IP is out so companies can quickly build next-generation power-efficient PCIe Gen7 CPUs The post Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs appeared first on ServeTheHome. ## Building a Real-Time 3D Face Mask with MediaPipe, Threlte and Three.js DevFeed: [Building a Real-Time 3D Face Mask with MediaPipe, Threlte and Three.js]() Original publisher: [Read original article]() Author: Marek Jóźwiak Published: 2026-09-06T13:09:52Z Content type: tutorial Language: en Sources: [Codrops]() Topics: [Three.js webcam]() Tags: [3d](), [3d-face-mask](), [canonical-face-model](), [creative-coding](), [face-landmarks](), [face-mesh](), [face-tracking](), [facial-landmarks](), [generative-graphics](), [gpu](), [inference](), [interactive-3d](), [javascript-3d](), [mediapipe](), [mediapipe-face-landmarker](), [mesh](), [real-time](), [real-time-3d](), [real-time-face-tracking](), [svelte](), [three-js](), [three-js-face-mask](), [three-js-webcam](), [threlte](), [threlte-three-js](), [tutorial](), [tutorials](), [video](), [vision](), [wasm](), [webcam](), [webcam-effects](), [webcam-face-tracking](), [webgl](), [webgl-face-tracking]() ### AI overview Tutorial on building a real-time textured 3D face mask by mapping MediaPipe face landmarks onto a Three.js mesh with Threlte. ### Source excerpt Learn how MediaPipe's face landmarks, Google's canonical face model, and Three.js come together to create a real-time textured 3D face mask. ## From Rays to Meshes: Building Vercel's Prism with vgpu DevFeed: [From Rays to Meshes: Building Vercel's Prism with vgpu]() Original publisher: [Read original article]() Author: Matias Gonzalez Fernandez Published: 2026-09-03T16:01:06Z Content type: tutorial Language: en Sources: [Codrops]() Topics: [GPU]() Tags: [3d](), [3d-graphics](), [adaptive-rendering](), [articles](), [creative-coding](), [glass](), [glass-shader](), [glsl](), [glsl-shaders](), [gpu](), [gpu-optimization](), [gpu-rendering](), [interactive-web-graphics](), [javascript-graphics](), [light-refraction](), [mesh](), [prism-shader](), [ray-tracing](), [real-time-rendering](), [real-time-shaders](), [shader-performance](), [shader-programming](), [shaders](), [vercel](), [vercel-prism](), [vercel-vgpu](), [vgpu](), [web-graphics](), [web-shaders](), [webgl](), [webgl-shaders]() ### AI overview A tutorial on creating Vercel's prism visual with vgpu shaders. It replaces costly ray-based light simulation with refracted paths connected into a 3D mesh, then adds an environment-mapped glass shader, bloom, and particles. ### Source excerpt A look at how Vercel's vgpu creates a performant prism effect using shaders, geometry, glass, and adaptive rendering. ## Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs DevFeed: [Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs]() Original publisher: [Read original article]() Author: Harvey Li Published: 2026-08-28T00:00:00Z Content type: article Language: en Sources: [Grab Tech]() Topics: [incident](), [Kafka]() Tags: [apis](), [data](), [data-quality](), [database](), [engineering](), [incident](), [mesh](), [observability](), [platform](), [production](), [workflow]() ### AI overview Grab describes an automated Data Production Issue lifecycle for maintaining reliable data products. An incident orchestrator checks data-contract health, starts a DPI when contract tests fail, and distinguishes alerts from confirmed contract breaches. ### Source excerpt Introduction In the first two parts of this series, we described how Grab approaches data mesh through the Signals Marketplace: a way for teams to publish, discover, and reuse trusted data products across domains. Part II introduced the foundational tools behind certification: Hubble for metadata and ownership, Genchi for data quality observability, and the Data Contract Registry for explicit producer-consumer guarantees. Certification is the starting point for a trusted data marketplace. It gives downstream consumers confidence in an asset's ownership, documentation, lineage, and quality controls. Certification does not eliminate runtime failure. A certified table can still arrive late. A certified metric can still be affected by a broken dependency. A certified Kafka stream can still violate a freshness expectation. Keeping certified data products reliable in production requires more than defining standards upfront. Teams need a consistent way to detect failures, diagnose the root cause, fix the issue, and verify recovery. That is where Data Production Issues (DPIs) come in. At Grab, DPIs turn data quality signals into an operational workflow. The DPI lifecycle A good DPI should be clear enough to act on, and it should close automatically when the underlying condition recovers. From the beginning, we designed the DPI lifecycle to be automated, with minimal human-in-the-loop. The lifecycle starts when Kinabalu, Grab's incident orchestrator, observes that a data asset may no longer satisfy its contract. The contract captures the reliability expectations that matter for the asset, along with the health checks, exposed through Test Health application programming interfaces (APIs), that evaluate those expectations. The orchestrator stays decoupled from platform internals. It does not need to know how each platform computes freshness, completeness, or other quality dimensions. It only needs to ask whether the relevant contract tests are healthy. If one or more contract ## Luce: Relightable Gaussians for 3D Asset Generation DevFeed: [Luce: Relightable Gaussians for 3D Asset Generation]() Original publisher: [Read original article]() Published: 2026-08-26T00:00:00Z Content type: article Language: en Sources: [Apple Machine Learning Research]() Topics: [Artificial Intelligence](), [Benchmark]() Tags: [3d](), [ai](), [benchmark](), [computer-vision](), [generation](), [images](), [mesh](), [models](), [multimodal](), [techniques](), [vision]() ### AI overview Luce is a multimodal 3D representation for generating relightable assets from a single image. It combines geometry with physically based materials in a voxelized Gaussian cloud, compresses them into a material-aware latent space, and generates relightable PBR Gaussians and optional textured meshes. On Toys4K, it reports a 28% FID improvement over the strongest baseline and improves alignment on an AI-generated image benchmark. ### Source excerpt High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include physically based rendering (PBR) modalities such as albedo, metallic-roughness, and surface normals. We propose Luce, a 3D representation that unifies geometry and PBR materials within a voxelized multimodal Gaussian cloud, using dedicated Gaussian primitives for each modality. A variational autoencoder compresses this representation into a unified material-aware latent space. A... ## 【Istio 控制面】选型收束与开放问题：CRD、Gateway API 与 eBPF L4 的排除树 DevFeed: [【Istio 控制面】选型收束与开放问题：CRD、Gateway API 与 eBPF L4 的排除树]() Original publisher: [Read original article]() Author: Liao Tonglang Published: 2026-08-11T00:00:00Z Content type: article Language: zh Sources: [土法炼钢 - 系统与基础设施]() Topics: [istio](), [gateway](), [eBPF]() Tags: [ambient](), [cilium](), [ebpf](), [experimental](), [gamma](), [gateway](), [gateway-api](), [istio](), [kubernetes](), [mesh](), [network](), [open-problems](), [selection](), [xds]() ### AI overview The concluding article in an Istio control-plane series presents a mechanism-based decision tree for choosing among Istio CRDs, Gateway API/GAMMA, and eBPF L4 networking. It explains that Istio CRDs and Gateway API are alternative configuration inputs compiled by istiod into xDS resources, while eBPF L4 avoids xDS entirely. It also identifies open questions around configuration-activation SLOs, Ambient maturity, and coexistence between configuration models. ### Source excerpt 用机制排除树收束 Istio CRD 翻译、Gateway API/GAMMA 与 eBPF L4 的选型边界，回收系列阅读路径，并列出推送 SLO、Ambient 成熟度、GAMMA 双轨等开放问题；不做延迟排行榜。 ## Alta labs: AP7-Pro 3.0i and AP6 2.4j Released DevFeed: [Alta labs: AP7-Pro 3.0i and AP6 2.4j Released]() Original publisher: [Read original article]() Author: j2sw Published: 2026-08-08T02:41:16Z Content type: release Language: en Sources: [Justin Wilson (j2sw)]() Topics: [releases](), [Release notes]() Tags: [alta](), [alta-labs](), [ap7-pro](), [compatibility](), [devices](), [firmware](), [identity](), [mesh](), [nas](), [network-engineering-resources](), [release](), [release-notes](), [reporting](), [system](), [wireless]() ### AI overview Alta Labs released AP7-Pro version 3.0i and AP6 version 2.4j. The updates improve WPA3 transition-mode compatibility, add NAS-IP-Address to RADIUS frames, address mesh and 802.1x identity reporting issues, and improve AP7-Pro system stability. ### Source excerpt https://forum.alta.inc/c/release-notes/13 The post Alta labs: AP7-Pro 3.0i and AP6 2.4j Released appeared first on Justin Wilson (j2sw). ## Geometry Nodes Physics DevFeed: [Geometry Nodes Physics]() Original publisher: [Read original article]() Author: Jacques Lucke Published: 2026-07-30T14:52:49Z Content type: article Language: en Sources: [Blender]() Topics: [Simulation](), [Framework](), [systems]() Tags: [blender](), [collection](), [experimental](), [features](), [general-development](), [geometry-nodes](), [gravity](), [lts](), [mesh](), [node](), [physics](), [procedural](), [systems](), [vectors](), [workflow]() ### AI overview This article describes Blender 5.2 LTS's new experimental hair and cloth dynamics system built with Geometry Nodes. It explains the declarative XPBD simulation framework, cloth and hair workflows, geometry bundles, and customizable effectors such as colliders, custom forces, and custom behavior closures. ### Source excerpt Geometry Nodes Physics in Blender 5.2 LTS and beyond. ## FireAvert joins Works with Home Assistant DevFeed: [FireAvert joins Works with Home Assistant]() Original publisher: [Read original article]() Author: Miranda Bishop Published: 2026-07-28T00:00:01Z Content type: article Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Protocol (disambiguation)](), [Network]() Tags: [community](), [devices](), [ecosystem](), [heat](), [homes](), [innovation](), [launch](), [local](), [mesh](), [network](), [open](), [partner](), [product](), [smart-home](), [works-with-home-assistant]() ### AI overview FireAvert has joined the Works with Home Assistant program with fire-safety devices that automatically shut off electric and gas stoves and other small appliances when a smoke alarm sounds. Its Z-Wave models support local Home Assistant integration through an open smart home protocol and mesh network. ### Source excerpt Sound the alarm, because Works with Home Assistant just welcomed our newest partner to the program: FireAvert! 🎉 Specialists in fire safety, FireAvert are on a mission to keep you and your home out of harm's way. They bring the very first gas and electric appliance shutoff devices to the program, and with them, a whole lot of peace of mind. Where there's smoke, there's FireAvert As ex-firefighter Peter Thorpe knows too well, a moment of forgetfulness is all it takes for a kitchen to end up in flames. And after close to twenty years of service witnessing the same devastating scenario repeat itself, he knew something had to be done. So he founded FireAvert, launching with the Auto Stove Shutoff for electric stovetops. The device was already gaining momentum before FireAvert's pitch caught the attention of Shark Tank, and for good reason. They say there's no smoke without fire, but years on the job taught Thorpe that in the kitchen, that isn't always the case. Smoke can build well before a flame takes hold - and that's the window FireAvert's shutoff works in. By listening for your standard smoke alarm, the device automatically shuts off your stove when the alarm sounds - cutting the heat at the source before a fire can catch. "Excited to see FireAvert join the Home Assistant community. Smart homes shouldn't just be convenient - they should help keep families safer too. This is exactly the kind of innovation the ecosystem needs." - Chasen Tolbert, FireAvert Since their launch, FireAvert's range has expanded to include gas stove and small appliance shutoffs (think microwaves, air fryers, hot plates), so whatever's most likely to be left on in your kitchen, there's a shutoff for it. And with Z-Wave units now among them, it's easier than ever to bring that protection straight into your Home Assistant setup. On the same frequency The FireAvert shutoffs joining the program run on Z-Wave. For anyone unfamiliar, here's a quick rundown: Z-Wave is an open smart home protocol tha ## Kaspersky report examines BitLocker ransomware attacks in Mexico and Colombia DevFeed: [Kaspersky report examines BitLocker ransomware attacks in Mexico and Colombia]() Original publisher: [Read original article]() Author: Kaspersky\_Lab ("Лаборатория Касперского") Published: 2026-07-27T19:52:29Z Content type: news Language: ru Sources: ["Лаборатория Касперского" RU]() Topics: [Security](), [Windows](), [sql-server]() Tags: [bitlocker](), [github](), [mesh](), [ransomware](), [rdp](), [security](), [sql-server](), [tag-9fe8963de219](), [windows]() ### AI overview A Kaspersky report examines ransomware incidents in Mexico and Colombia in which attackers used Windows BitLocker to encrypt organizational data. The reported entry points included exposed RDP and a misconfigured Microsoft SQL Server containing credentials published in GitHub code. ### Source excerpt Свежий отчет "Лаборатории Касперского" разбирает два недавних инцидента в Латинской Америке, в ходе которых организации стали жертвой кибервымогателей. Оба инцидента, произошедшие в мае этого года в Мексике и в июне в Колумбии, удалось подробно проанализировать, в результате чего стали понятны методы взлома корпоративной инфраструктуры, а также дальнейшие шаги киберпреступников. Примечательно, что в обоих случаях для шифрования данных с последующим требованием выкупа использовался штатный инструмент Windows, известный как BitLocker. Значок, указывающий на то, что диск зашифрован, стал первым признаком кибератаки, который заметили в организации. Точкой входа в инциденте, произошедшем в Колумбии, стала доступная из Интернета служба удаленного рабочего стола (RDP) на сервере, к которому, в свою очередь, был подключен жесткий диск объемом 8 терабайт с критически важными финансовыми данными. Злоумышленники сначала получили контроль над системой, изменили учетные данные пользователей, а затем применили шифрование. Еще одной любопытной особенностью данной атаки стала печать записки с требованием выкупа прямо на корпоративных принтерах в офисе организации. Читать далее ## Khronos Sponsors Open-Source glTF Importer/Exporter for Autodesk 3ds Max DevFeed: [Khronos Sponsors Open-Source glTF Importer/Exporter for Autodesk 3ds Max]() Original publisher: [Read original article]() Author: jphilips (jeff@khronosgroup.org) Published: 2026-07-14T13:00:00Z Content type: release Language: en Sources: [Blogs Khronos Blog]() Topics: [Open Source](), [3D](), [Tool](), [Documentation]() Tags: [3d](), [animation](), [apache](), [api](), [blog-glt](), [cameras](), [compression](), [documentation](), [gltf](), [lighting](), [mesh](), [open-source](), [plugin-development](), [plugins](), [render](), [standards]() ### AI overview The Khronos Group sponsored and released open-source glTF 2.0 importer and exporter plugins for Autodesk 3ds Max under the Apache 2.0 license. The plugins support round-trip glTF workflows, including scene content, materials, textures, compression, animation, lighting, and instancing. ### Source excerpt The Khronos Group has sponsored the glTF 2.0 Importer/Exporter for Autodesk 3ds Max open-source project under the Apache 2.0 license, and today has released the resulting glTF importer and exporter plugins, built to professional standards in collaboration with the community, and free for all to use. ## Game Builder Tutorial 3: Build a First-Person 3D Dungeon DevFeed: [Game Builder Tutorial 3: Build a First-Person 3D Dungeon]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-07-09T00:00:00Z Content type: tutorial Language: en Sources: [CodeName One]() Topics: [Tutorial](), [3D](), [Code](), [GPU]() Tags: [3d](), [blender](), [build](), [camera](), [code](), [games](), [gltf](), [gpu](), [lighting](), [map](), [mesh](), [model](), [tutorial]() ### AI overview A tutorial for building a first-person 3D dungeon with Codename One Game Builder. It covers 3D scene setup, genre-specific play styles, mesh-based assets, lighting, collision, and importing glTF models. ### Source excerpt A code-included walkthrough that builds a first-person 3D dungeon with the Codename One Game Builder -- terrain, walls, a spawn, the companion code, and streaming large worlds. ## Service Mesh vs API Gateway (Part III) DevFeed: [Service Mesh vs API Gateway (Part III)]() Original publisher: [Read original article]() Author: Franco Fernando Published: 2026-06-20T09:02:00Z Content type: comparison Language: en Sources: [The Polymathic Engineer]() Topics: [Architecture & Design](), [API]() Tags: [api](), [api-gateway](), [mesh](), [patterns](), [vs]() ### AI overview This article compares service mesh and API Gateway patterns, explaining that they address different problems and can work best together. ### Source excerpt Two patterns that look similar, solve different problems, and work best together. ## From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot DevFeed: [From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot]() Original publisher: [Read original article]() Author: Sundar Raghavan; Cagatay Cali Published: 2026-06-17T10:18:05Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Bots](), [SDKs]() Tags: [agents](), [hardware](), [hub](), [hugging-face](), [inference](), [integration](), [lerobot](), [mesh](), [robots](), [strands-agents]() ### AI overview A tutorial for using the Strands Robots SDK and LeRobot to record simulated demonstrations, run policies, deploy the same agent code to physical hardware, and coordinate robot fleets. ### Source excerpt You have a robot, a folder of demonstration data on the Hugging Face Hub, and a new task you want it to learn. Today that takes five separate tools: one to record new demonstrations, another to train, a third to test in simulation, custom code to deploy on hardware, and yet another to coordinate when you have more than one robot. The pieces work on their own. They don't talk to each other. ## What a Service Mesh Gives You (Part II) DevFeed: [What a Service Mesh Gives You (Part II)]() Original publisher: [Read original article]() Author: Franco Fernando Published: 2026-06-06T10:27:13Z Content type: article Language: en Sources: [The Polymathic Engineer]() Topics: [Architecture & Design]() Tags: [mesh]() ### AI overview An article about the features that make a service mesh worth the trouble. ### Source excerpt The features that make a service mesh worth the trouble. ## Service Mesh: Why and How It Works (Part I) DevFeed: [Service Mesh: Why and How It Works (Part I)]() Original publisher: [Read original article]() Author: Franco Fernando Published: 2026-05-30T09:34:40Z Content type: tutorial Language: en Sources: [The Polymathic Engineer]() Topics: [Architecture & Design]() Tags: [infrastructure](), [mesh]() ### AI overview This article explains how a dedicated infrastructure layer can manage service-to-service communication in a service mesh. ### Source excerpt How a dedicated infrastructure layer can take over the job of managing service-to-service communication. ## How to Extend SPIFFE Beyond Kubernetes: Bring Zero Trust Identity to Your VMs DevFeed: [How to Extend SPIFFE Beyond Kubernetes: Bring Zero Trust Identity to Your VMs]() Original publisher: [Read original article]() Author: info@goteleport.com (Jeffrey Ellin) Published: 2026-05-21T00:00:00Z Content type: tutorial Language: en Sources: [Teleport]() Topics: [SPIFFE](), [Zero Trust](), [certificates](), [istio](), [Kubernetes]() Tags: [api](), [certificates](), [istio](), [kubernetes](), [mesh](), [spiffe](), [zero-trust]() ### AI overview This tutorial explains how to extend SPIFFE-based zero-trust workload identity beyond Kubernetes to VMs, edge gateways, and legacy services. It describes separating identity issuance from consumption, using short-lived identities through a local API, with Envoy consuming identity via SDS and Teleport managing the trust chain. ### Source excerpt Discover how Envoy + SDS and Teleport Workload Identity let off-cluster workloads securely call Istio services without distributing certificates. ## ubisys joins Works with Home Assistant DevFeed: [ubisys joins Works with Home Assistant]() Original publisher: [Read original article]() Author: Miranda Bishop Published: 2026-04-23T00:00:01Z Content type: news Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Automation](), [Hardware](), [interoperability](), [Network]() Tags: [automation](), [battery](), [community](), [devices](), [hardware](), [home-automation](), [innovation](), [integration](), [interoperability](), [mesh](), [network](), [open](), [partnership](), [standards](), [sustainability](), [updates](), [wireless](), [works-with-home-assistant](), [zigbee]() ### AI overview The article announces that ubisys has joined Works with Home Assistant. It describes ubisys's Zigbee smart home devices for retrofitting, their long hardware and software support, and the company's involvement in developing open standards and improving interoperability with Home Assistant. ### Source excerpt We're thrilled to welcome ubisys to Works with Home Assistant! This German company has been dedicated to smart home automation for more than 20 years, and offers a range of Zigbee devices designed to help you retrofit your home. If retrofitting is conjuring up images of avocado bathrooms 🥑 and artexed ceilings, fear not - it just means upgrading what you already have, rather than ripping it out and starting again. Better for your home, and the planet 🌍. Here today, here tomorrow Founded in Düsseldorf in 2005, ubisys build devices that last. They back their hardware with a five-year warranty and software updates for the long term, meaning the device you buy today won't end up obsolete in a few years' time - in fact, they're still shipping feature updates for hardware designed in 2010! That kind of longevity aligns closely with the Open Home Foundation's own sustainability principle, and is just one reason why they're such a great (retro)fit for the program! Zigbee is another... Zigbee to the bone If you're scratching your head at the mention of Zigbee, allow me to explain: it's a wireless standard that lets smart home devices communicate with each other, regardless of who made them. Unlike WiFi, it's a mesh network, meaning Zigbee devices "talk" to each other, as well as to a central hub (like your Home Assistant setup), strengthening the connection across your whole home. It runs entirely locally, with no cloud dependency, and is optimized for long battery life. For retrofit devices that need to just get on with their jobs in the background, these qualities really count, and explains why ubisys refer to Zigbee as the backbone of everything they build. And they don't just use the standard, they help shape it: ubisys are active members of the Connectivity Standards Alliance (the organization responsible for maintaining and developing Zigbee), sitting on working groups and committees at the highest level - helping improve the standard for the benefit of the whole communi ## Test serverless and application-level reliability with Failure Flags DevFeed: [Test serverless and application-level reliability with Failure Flags]() Original publisher: [Read original article]() Author: Gavin Cahill Published: 2025-03-13T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [Failure Flags](), [Resilience](), [Serverless](), [Containers](), [Kubernetes](), [SDKs](), [AWS Lambda](), [Node.js](), [API](), [Python](), [airflow]() Tags: [api](), [aws-lambda](), [configuration](), [failure-flags](), [go](), [gremlin](), [java](), [kubernetes](), [latency](), [mesh](), [net](), [node-js](), [python](), [resilience](), [sdk](), [serverless]() ### AI overview Gremlin Failure Flags is presented as a generally available tool for testing application-level resilience in serverless, container, Kubernetes, and service mesh environments. It combines the Gremlin SaaS API with a sidecar or Lambda Extension and an SDK to safely introduce latency, errors, and selected data issues, while also validating observability, alerting, and automated recovery. ### Source excerpt Run resilience tests at the application level in serverless, container, Kubernetes, and service mesh environments with Gremlin Failure Flags. ## Espressif RainMaker over Thread Solution DevFeed: [Espressif RainMaker over Thread Solution]() Original publisher: [Read original article]() Author: John Lee Published: 2025-02-19T00:00:00Z Content type: release Language: en Sources: [Blog on Developer Portal]() Topics: [Esp Rainmaker](), [Espressif](), [Internet of things](), [networking](), [Protocol (disambiguation)](), [Cloud](), [SDK](), [Serverless](), [Android](), [iOS]() Tags: [802-15-4](), [agent](), [aiot](), [android](), [aws](), [blog](), [cloud](), [development](), [devices](), [esp-rainmaker](), [espressif](), [iot](), [ip](), [mesh](), [networking](), [platform](), [protocol](), [rainmaker](), [serverless](), [serverless-architecture](), [thread]() ### AI overview Espressif announces ESP RainMaker over Thread, integrating its IoT cloud platform with Thread mesh networking. The solution includes device-agent SDKs, a transparent cloud application, and iOS and Android apps for device control and management. ### Source excerpt ESP RainMaker is complete-yet-customizable IoT cloud platform software based on AWS Serverless architecture that simplifies the development of connected devices by providing device control and device management features. ESP RainMaker can be deployed in customers' own AWS accounts to achieve full autonomy and control for rapid development. Thread, based on 802.15.4, is a low-power, secure, IP-based mesh networking protocol for IoT devices. ## Mesh Gradients in Jetpack Compose DevFeed: [Mesh Gradients in Jetpack Compose]() Original publisher: [Read original article]() Author: sinasamaki Published: 2025-02-07T19:02:29Z Content type: tutorial Language: en Sources: [sinasamaki]() Topics: [Jetpack Compose](), [Compose](), [Android](), [Code]() Tags: [android](), [article](), [code](), [color](), [compose](), [design](), [experiment](), [how-to](), [implement](), [jetpack](), [jetpack-compose](), [mesh](), [performance](), [points](), [range]() ### AI overview A tutorial on using a modifier in Jetpack Compose to create and animate mesh gradients from colored points. It explains point placement, smoothing, axis-specific resolution, and the performance trade-offs of higher resolution. ### Source excerpt Learn how to implement beautiful Mesh Gradients on Android ## How Tinder Secures Its 500+ Microservices DevFeed: [How Tinder Secures Its 500+ Microservices]() Original publisher: [Read original article]() Author: Richard Oliver Bray Published: 2025-01-08T13:40:48Z Content type: tutorial Language: en Sources: [Hacking Scale by Better Stack]() Topics: [Microservices](), [Security](), [Architecture & Design](), [Amazon API Gateway](), [Authorization](), [Authentication](), [Routing (disambiguation)]() Tags: [api-gateway](), [authentication](), [authorization](), [mesh](), [microservices](), [routing](), [security](), [tls]() ### AI overview This article explains why Tinder's externally accessible services created security and maintenance challenges, and why the team built a customized API gateway to provide consistent session management, scalable configuration, and integration with its Envoy service mesh. ### Source excerpt Tinder's highly customised solution that fixed their microservice security chaos [Next page]()