# cloud run Published articles for cloud run. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Authentication made easy: Building a secure e-commerce shopping cart with Firebase DevFeed: [Authentication made easy: Building a secure e-commerce shopping cart with Firebase]() Original publisher: [Read original article]() Author: Karl Weinmeister Published: 2026-09-01T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Authentication](), [Firebase](), [Firestore](), [Authorization](), [Security]() Tags: [authentication](), [cloud-run](), [e-commerce](), [firebase](), [firestore](), [security-rules](), [shopping](), [tutorials](), [web]() ### AI overview This tutorial explains how to build a secure e-commerce shopping cart with Firebase Authentication and Cloud Firestore. It covers guest onboarding through anonymous authentication, migration of guest carts to permanent accounts, real-time synchronization, and checkout while addressing database permissions and security. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace DevFeed: [Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace]() Original publisher: [Read original article]() Author: Jay Sivachelvan Published: 2026-08-31T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Google Cloud Platform (GCP)](), [SDKs](), [Google](), [reliability](), [Artificial Intelligence](), [Cloud Run](), [Resilience](), [API](), [Serverless]() Tags: [agent](), [agent-development-kit](), [agent-framework](), [announcements](), [api](), [billing](), [cloud-marketplace](), [cloud-run](), [execution](), [gemini](), [google](), [google-cloud](), [integration](), [launch](), [partnership](), [pricing]() ### AI overview Temporal announces expanded Google Cloud integrations, including Public Preview support for the Google Gen AI Python SDK, durable execution for Gemini-based workflows, and pre-release Serverless Workers for Google Cloud Run. Temporal Cloud is also available on Google Cloud Marketplace with pay-as-you-go pricing. ### Source excerpt Temporal expands its Google Cloud partnership with Gemini integration, durable execution, and pay-as-you-go pricing on Google Cloud Marketplace. ## Q2 2026 Product Update: Harness Continuous Delivery & GitOps DevFeed: [Q2 2026 Product Update: Harness Continuous Delivery & GitOps]() Original publisher: [Read original article]() Author: Vishal Vishwaroop Published: 2026-08-06T00:00:00Z Content type: release Language: en Sources: [Harness Blog]() Topics: [CI/CD](), [GitOps](), [Deployment](), [Kubernetes](), [AI Agent](), [Cloud Run]() Tags: [2026](), [agent](), [cloud-run](), [continuous-delivery](), [deployment](), [gitops](), [kubernetes](), [product]() ### AI overview Harness reviews its Q2 2026 product updates, covering 38 enhancements across Continuous Delivery, Verification, and GitOps. The update includes progressive Kubernetes canary rollouts, native AI agent deployments, staged Cloud Run traffic, enhanced verification controls, and GitOps rollback and RBAC improvements. ### Source excerpt Progressive canary rollouts, native AI agent deployments, staged Cloud Run traffic, smarter verification controls, and 12 GitOps improvements -- Q2 2026 in revie | Blog ## Announcing Port's new GCP integration DevFeed: [Announcing Port's new GCP integration]() Original publisher: [Read original article]() Author: Matan Geva Published: 2026-07-30T10:06:55Z Content type: release Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Google](), [cloud-infrastructure](), [Software]() Tags: [bigquery](), [cloud](), [cloud-run](), [devops](), [gcp](), [github](), [integration](), [software-catalog]() ### AI overview Port announces a new GCP integration that replaces its previous GCP exporter. The integration brings live Google Cloud resource metadata, runtime data, state, and real-time changes into Port's software catalog across projects and services. ### Source excerpt You can now integrate live cloud resource data into the software catalog, displaying both metadata and runtime data in context, making it easy. ## Durable Digest: July highlights DevFeed: [Durable Digest: July highlights]() Original publisher: [Read original article]() Author: Temporal Technologies Published: 2026-07-30T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [releases](), [distributed-systems](), [Cloud Run](), [Langgraph](), [datadog](), [API]() Tags: [announcements](), [api](), [cloud](), [cloud-run](), [datadog](), [distributed-systems](), [explore](), [langgraph](), [releases]() ### AI overview Temporal's July Durable Digest summarizes product releases and updates, including pre-release Serverless Workers for GCP Cloud Run, public-preview LangGraph and LangSmith integrations, generally available billing and metrics APIs, Datadog and Vantage integrations, and improvements to the Worker Status UI. ### Source excerpt Highlights from July include major product releases that make it easier to build and operate durable applications, and enhanced visibility into your Workers. ## Announcing Serverless Workers for Google Cloud Run DevFeed: [Announcing Serverless Workers for Google Cloud Run]() Original publisher: [Read original article]() Author: Brandon Chavis Published: 2026-07-30T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Cloud Run](), [autoscaling](), [Serverless](), [Google Cloud Platform (GCP)](), [Deployment](), [container](), [IAM]() Tags: [autoscaling](), [cloud-run](), [deployment](), [docker](), [google-cloud-run](), [iam](), [product-news](), [serverless]() ### AI overview Temporal announces Serverless Workers support for Google Cloud Run. The service integrates with Cloud Run Worker Pools and dynamically adjusts capacity, including scaling to zero when appropriate, reducing the infrastructure planning and autoscaling work required from users. ### Source excerpt Temporal now supports Serverless Workers on Google Cloud Run, autoscaling Worker Pools for you so you never manage infrastructure or pay for idle compute. ## Building Svitgrid, a Solar Monitoring Platform for Home Systems DevFeed: [Building Svitgrid, a Solar Monitoring Platform for Home Systems]() Original publisher: [Read original article]() Author: Ivan Ursul Published: 2026-05-21T00:00:00Z Content type: article Language: en Sources: [Ivan Ursul]() Topics: [Monitoring](), [dashboards](), [real-time](), [Fastify](), [Flutter](), [Modbus](), [TypeScript](), [Cloud Run](), [ESP-IDF](), [ESP32-S3](), [Firestore](), [Mobile]() Tags: [android](), [battery](), [cloud-run](), [energy-monitoring](), [esp-idf](), [esp32](), [esp32-s3](), [firestore](), [flutter](), [gcp](), [iot](), [java](), [migrations](), [mobile](), [modbus](), [mongodb](), [monitoring](), [real-time](), [side-project](), [solar](), [typescript](), [web]() ### AI overview This article explains how Svitgrid, a solar monitoring platform for residential systems, was built. It covers the product's goals, cross-platform clients, cloud backend, ESP32-S3 edge hardware, inverter data paths, and support for multiple inverter systems over Modbus TCP. ### Source excerpt Svitgrid dashboard: real-time power flow from PV to battery, home, and grid ## What's new from Firebase at Google I/O 2026 DevFeed: [What's new from Firebase at Google I/O 2026]() Original publisher: [Read original article]() Author: Seba Gnagnarella; Arthur Thompson; Kristen Richards Published: 2026-05-19T01:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Agent Skills](), [Google](), [Mobile](), [Android Studio](), [Flutter](), [Model Context Protocol]() Tags: [2026](), [a-b-testing](), [agent-skills](), [ai-logic](), [ai-studio](), [android](), [android-studio](), [antigravity](), [app-check](), [application-design-center](), [authentication](), [cloud-logging](), [cloud-run](), [crashlytics](), [firebase](), [firestore](), [flutter](), [google](), [google-i-o](), [hybrid-inference](), [ios](), [mcp](), [mobile](), [news](), [remote-config](), [security]() ### AI overview Firebase announces updates from Google I/O 2026, including integrations with Google Antigravity and Android Studio, expanded Agent Skills for mobile development, and support for Firestore, Firebase Authentication, Crashlytics, and Remote Config. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Announcing Dart support in Cloud Functions for Firebase DevFeed: [Announcing Dart support in Cloud Functions for Firebase]() Original publisher: [Read original article]() Author: Kevin Moore; Rody Davis Published: 2026-05-06T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Cloud Functions](), [Dart](), [Firebase](), [Flutter](), [Firebase CLI](), [Serverless](), [Google Cloud Platform (GCP)]() Tags: [admin-sdk](), [cloud-functions](), [cloud-run](), [dart](), [dart-on-the-server](), [emulator-suite](), [firebase](), [firebase-cli](), [firestore](), [flutter](), [google-cloud](), [launch](), [serverless]() ### AI overview Firebase announced experimental support for Dart in Cloud Functions for Firebase, allowing developers to use Dart and shared tooling across Flutter clients and backend functions. The article also describes AOT compilation, asynchronous I/O, Firebase CLI deployment, and local testing with the Firebase Emulator Suite. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Next.js 16.2 introduces a stable Deployment Adapter API for Firebase App Hosting DevFeed: [Next.js 16.2 introduces a stable Deployment Adapter API for Firebase App Hosting]() Original publisher: [Read original article]() Author: James Daniels Published: 2026-03-26T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Next.js](), [Google Cloud Platform (GCP)](), [Deployment](), [Netlify](), [Cloudflare](), [Amazon Web Services]() Tags: [app-hosting](), [cloud-run](), [cloudflare](), [deployment](), [firebase](), [google-cloud](), [hosting](), [javascript](), [netlify](), [next-js](), [release](), [security](), [web]() ### AI overview Firebase announces that Next.js 16.2 includes a stable, documented Deployment Adapter API, intended to give hosting providers an official integration path and support more predictable framework updates. The article presents this as an initial milestone; advanced features still pose architectural challenges. ### Source excerpt News, tutorials, and updates from the Firebase team. ## How I Actually Use AI as a Developer (And When I Don't) DevFeed: [How I Actually Use AI as a Developer (And When I Don't)]() Original publisher: [Read original article]() Author: Brian Jenney Published: 2025-12-06T17:14:53Z Content type: opinion Language: en Sources: [Brian Jenney]() Topics: [Artificial Intelligence](), [Code](), [Python](), [Cloud Run](), [cloud-tasks](), [SQL](), [API]() Tags: [ai](), [cloud-run](), [cloud-tasks](), [code](), [developer](), [python](), [sql](), [workflow]() ### AI overview A developer describes a practical workflow for using AI-assisted coding under startup delivery pressure. The article covers making unfamiliar Python code understandable, evaluating architecture and debugging options across local and Cloud Run environments, and running rapid experiments involving batching, SQL queries, API calls, and logging. The author presents this as a personal workflow rather than a universal prescription. ### Source excerpt The workflow that helped me "make the impossible possible" in my first 3 months at a startup. ## Data Connect: Event Triggers and Generated Admin SDKs DevFeed: [Data Connect: Event Triggers and Generated Admin SDKs]() Original publisher: [Read original article]() Author: Andrea Wu Published: 2025-11-17T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [data](), [SDKs](), [Cloud Functions](), [Firestore](), [Cloud Run](), [Messaging]() Tags: [admin-sdk](), [cloud-functions](), [cloud-run](), [firebase](), [firestore](), [graphql](), [messaging](), [news](), [payload](), [sdks](), [sql-connect](), [updates]() ### AI overview Firebase Data Connect adds event triggers that run server-side code after mutations, along with generated type-safe admin SDKs for privileged environments. The article describes integrations with Cloud Functions for Firebase, Cloud Run, App Hosting, Firestore, external APIs, email, and Firebase Cloud Messaging. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Building Arc: An AI Messenger Powered by Firebase, Flutter, and Vertex AI DevFeed: [Building Arc: An AI Messenger Powered by Firebase, Flutter, and Vertex AI]() Original publisher: [Read original article]() Author: TAKAYUKI MIYANO Published: 2025-10-27T07:49:55Z Content type: article Language: en Sources: [Firebase Developers - Medium]() Topics: [App](), [Architecture & Design](), [Firebase](), [Flutter](), [Cloud Run](), [Cloud Functions](), [Retrieval Augmented Generation (RAG)](), [Messaging](), [Microservices](), [Security](), [Resilience](), [networking]() Tags: [architecture](), [cloud-functions](), [cloud-run](), [firebase](), [flutter](), [gemini](), [messenger](), [microservices](), [resilience](), [retrieval-augmented-generation](), [security](), [vertex-ai]() ### AI overview This article describes the architecture of Arc, a private messaging app built with Flutter and Firebase. It covers ephemeral messaging, mesh networking for resilience, Cloud Run microservices, Cloud Functions for event-driven processing, and a RAG architecture using Vertex AI Search and Gemini models. It also discusses security, privacy, and GenAI companions. ### Source excerpt Introduction: The Vision of Arc Our journey at Arc began with a singular vision: to redefine private communication in the digital age. We envisioned a world of ephemeral, intimate conversations -- a space where privacy isn't an afterthought, but the very foundation. This philosophy gave birth to Arc, a next-generation messaging app where every message, even in group chats, is designed to disappear over time. Our vision goes beyond just ephemerality. We also saw a critical need to build resilience, especially in regions with unstable internet infrastructure and in a world where disasters are a constant threat. This led us to develop our mesh networking technology, a potential lifeline when traditional communication fails. Our mission is to transform our app into a vital piece of social infrastructure that protects people's safety and gives them peace of mind. However, a vision of this scale demands an architecture that can compete on a global level. For us, true "optimization" is a comprehensive concept built on four pillars: Stability, Speed, Lightweight Design, and High Security. In this article, we'll explore the architectural decisions that shaped Arc. We'll detail how we integrated Flutter as our client, used Firebase's managed services as our foundation, and combined them with Cloud Run for scalable microservices, Cloud Functions for event-driven processing, and an advanced RAG (Retrieval-Augmented Generation) architecture using Vertex AI Search for grounding and Gemini models. This is the story of how we built a platform that is not only secure and high-performance but also intelligent and ready for future evolution. The Challenge: Going Beyond a Standard Messenger To make Arc a reality, we faced numerous technical hurdles that went beyond conventional architectures. Our goal wasn't just to build another messaging app; it was to create a new conversational experience and a resilient communication platform. Our app also includes GenAI companions (AI Characters) ## App Hosting has faster deployments, route-based monitoring, and improved CI/CD setup DevFeed: [App Hosting has faster deployments, route-based monitoring, and improved CI/CD setup]() Original publisher: [Read original article]() Author: Jeff Huleatt Published: 2025-08-25T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Monitoring](), [CI/CD](), [Deployment](), [Caching](), [Latency](), [Next.js](), [Cloud Run]() Tags: [app](), [app-hosting](), [cache](), [ci-cd](), [cloud-run](), [containers](), [deployment](), [firebase](), [hosting](), [latency](), [monitoring](), [next-js](), [web]() ### AI overview Firebase App Hosting updates include faster deployments through smaller Next.js server containers, route-based monitoring for up to 20 routes, and GitHub connection management in the Firebase console for CI/CD setup. The article reports that internal monitoring found builds were 30% faster on average for customers. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Deploying a Kotlin-based remote MCP Server to Google Cloud Run DevFeed: [Deploying a Kotlin-based remote MCP Server to Google Cloud Run]() Original publisher: [Read original article]() Published: 2025-07-26T23:00:00Z Content type: tutorial Language: en Sources: [John O'Reilly]() Topics: [MCP Server](), [Cloud Run](), [Kotlin](), [Deployment](), [Google Cloud Platform (GCP)]() Tags: [cloud-run](), [deployment](), [google-cloud](), [how-to](), [kotlin](), [mcp](), [mcp-server]() ### AI overview A tutorial on deploying a Kotlin-based MCP Server from the ClimateTraceKMP sample to Google Cloud Run. It covers building and publishing a container with the Jib Gradle Plugin, configuring the server for Cloud Run, and connecting to Claude Desktop, Claude mobile apps, and MCP Inspector. ### Source excerpt I wrote a previous post about how to develop an MCP Server using the Kotlin MCP SDK. That was primarily based on local deployment (using stdio protocol)...a setup that Claude Desktop for example could only support at the time. With the announcement that Claude now supports access to remote MCP Servers (from desktop and mobile) I thought I'd take a look at deploying the MCP Server in the ClimateTraceKMP sample to Google Cloud Run. ## What web frameworks does Firebase App Hosting support? DevFeed: [What web frameworks does Firebase App Hosting support?]() Original publisher: [Read original article]() Author: Jeff Huleatt Published: 2025-06-05T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [hosting](), [Framework](), [Angular](), [Next.js](), [Node.js](), [Nuxt.js](), [Cloud Run](), [Astro](), [Serverless](), [Web app](), [Server-side rendering]() Tags: [angular](), [app-hosting](), [astro](), [cloud-run](), [firebase](), [frameworks](), [hosting](), [javascript](), [next-js](), [node-js](), [nuxt](), [react](), [serverless](), [ssr](), [svelte](), [vite](), [web](), [web-app]() ### AI overview Firebase App Hosting provides built-in build and deployment support for Angular and Next.js, while community adapters enable additional JavaScript frameworks such as Nuxt, TanStack Start, SolidStart, and Analog. Astro support is described as a proof of concept, and unrecognized frameworks can use the Node.js Cloud buildpack. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Deploy Angular & Next.js apps with App Hosting, now GA! DevFeed: [Deploy Angular & Next.js apps with App Hosting, now GA!]() Original publisher: [Read original article]() Author: Julia Reid; Jeff Huleatt Published: 2025-04-09T06:01:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [hosting](), [Angular](), [Next.js](), [CI/CD](), [Cloud Run](), [GitHub](), [Google Cloud Platform (GCP)]() Tags: [angular](), [api-keys](), [app-hosting](), [apps](), [ci-cd](), [cloud-next](), [cloud-run](), [domain](), [firebase](), [github](), [google-cloud-platform](), [hosting](), [javascript](), [launch](), [next-js](), [security](), [ssr](), [web]() ### AI overview Firebase App Hosting has reached General Availability. The service provides managed hosting for Angular and Next.js web apps, including automated CI/CD, Cloud Run deployment for server-rendered content, global CDN caching, domain migration, and API-key secret management. ### Source excerpt Ready to host your production server-rendered web apps on Google Cloud. ## Deploying Temporal Workers to Google Cloud Run DevFeed: [Deploying Temporal Workers to Google Cloud Run]() Original publisher: [Read original article]() Author: Brandon Chavis Published: 2025-01-06T04:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [Cloud Run](), [autoscaling](), [Google Cloud Platform (GCP)](), [container](), [Deployment](), [event driven](), [Kubernetes]() Tags: [autoscaling](), [cloud-run](), [container](), [deployment](), [event-driven](), [how-to](), [kubernetes](), [sidecar](), [temporal-concepts]() ### AI overview This tutorial explains how to deploy Temporal Workers on Google Cloud Run using Worker Pools, a sidecar container for metrics, and Cloud Run External Metrics Autoscaling (CREMA) based on Temporal Task Queue backlog. ### Source excerpt Learn how to deploy Temporal Workers on Google Cloud Run with a sidecar container for metrics collection, scaling, and efficient task processing. ## Migrating Chainguard's Serving Infrastructure to Cloud Run DevFeed: [Migrating Chainguard's Serving Infrastructure to Cloud Run]() Original publisher: [Read original article]() Published: 2024-12-10T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Cloud Run](), [Kubernetes](), [chainguard](), [autoscaling]() Tags: [autoscaling](), [chainguard](), [cloud](), [cloud-run](), [github-actions](), [gke](), [go](), [istio](), [kubernetes](), [security](), [serving-architecture]() ### AI overview Chainguard migrated its serving platform from two regional GKE clusters running on Kubernetes to Cloud Run. The article previews the previous architecture and the operational pressures that motivated the change, including infrastructure complexity, unused development clusters, rising costs, slow node autoscaling, traffic spikes, and user-visible errors. ### Source excerpt Chainguard has migrated its serving platform from Kubernetes to Cloud Run. Take a peek at how we did it, and how it makes Chainguard a more secure place. ## Cold-start benchmark compares Encore.ts, Fastify, NestJS, and Express DevFeed: [Cold-start benchmark compares Encore.ts, Fastify, NestJS, and Express]() Original publisher: [Read original article]() Author: André Eriksson Published: 2024-09-04T00:00:00Z Content type: article Language: en Sources: [Encore Updates]() Topics: [Benchmark](), [Server](), [Serverless](), [Express](), [Fastify](), [Latency](), [Nest](), [Chaos Engineering](), [Cloud Run](), [Kubernetes]() Tags: [benchmark](), [benchmarks](), [cloud-run](), [distributed-systems](), [express](), [framework](), [github](), [kubernetes](), [latency](), [performance](), [serverless]() ### AI overview The article benchmarks cold startup times for Encore.ts, Fastify, NestJS, and Express using API endpoints and schema validation. It reports that Encore.ts started over five times faster than Express and over 17 times faster than NestJS in the tested setup, and explains why cold-start latency matters for serverless and distributed systems. ### Source excerpt We've benchmarked cold startup times for popular Node.js frameworks ## Zero CVE metrics on Cloud Run DevFeed: [Zero CVE metrics on Cloud Run]() Original publisher: [Read original article]() Published: 2024-09-03T00:00:00Z Content type: tutorial Language: en Sources: [Chainguard: Unchained]() Topics: [Cloud Run](), [OpenTelemetry](), [chainguard images](), [Dockerfile](), [Terraform](), [Monitoring]() Tags: [chainguard-images](), [cloud-run](), [cve](), [monitoring](), [opentelemetry](), [prometheus](), [terraform]() ### AI overview This tutorial explains how Chainguard uses an OpenTelemetry sidecar on Cloud Run to expose metrics and send them to managed Prometheus and Stackdriver. It describes using a curated sidecar image, configuring it through an environment variable, and deploying the setup with Terraform to reduce CVEs. ### Source excerpt Achieve Zero CVEs on Cloud Run with OpenTelemetry sidecar. Learn how to leverage Chainguard Images for secure and efficient monitoring. ## App Hosting vs. the original Hosting: Which one do I use? DevFeed: [App Hosting vs. the original Hosting: Which one do I use?]() Original publisher: [Read original article]() Author: Julia Reid; Thomas Bouldin Published: 2024-05-29T00:00:00Z Content type: comparison Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [hosting](), [web applications](), [Angular](), [Next.js](), [Server-side rendering](), [Serverless](), [Web Development]() Tags: [angular](), [app](), [app-hosting](), [cloud](), [cloud-functions](), [cloud-run](), [firebase](), [hosting](), [next-js](), [server-side-rendering](), [serverless](), [ssr](), [web](), [web-development]() ### AI overview This article explains when to use Firebase App Hosting versus the original Firebase Hosting. App Hosting is presented for full-stack web apps built with modern server-rendered frameworks such as Angular and Next.js, while the original Hosting product is intended for static websites. ### Source excerpt Let's talk about what's new and different with App Hosting, and why you might want to use it for your next web app ## Introducing Firebase App Hosting DevFeed: [Introducing Firebase App Hosting]() Original publisher: [Read original article]() Author: Julia Reid; Jeff Huleatt Published: 2024-05-14T02:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [hosting](), [Serverless](), [Angular](), [Next.js](), [Cloud Run](), [GitHub](), [Back end](), [Front end]() Tags: [ai](), [angular](), [app-hosting](), [cloud-run](), [firebase](), [github](), [launch](), [next-js](), [performance](), [serverless](), [ssr](), [web](), [web-hosting]() ### AI overview Firebase introduces the public preview of Firebase App Hosting, a secure serverless hosting product for server-rendered web apps. It manages builds, deployment, CDN delivery, and server-side rendering, with deployment support for Angular and Next.js through GitHub. ### Source excerpt The next generation of serverless web hosting with Google ## Cloud without Kubernetes DevFeed: [Cloud without Kubernetes]() Original publisher: [Read original article]() Author: Drew Published: 2024-02-12T18:58:13Z Content type: opinion Language: en Sources: [Brave New Geek]() Topics: [Kubernetes](), [Cloud](), [Serverless](), [migration](), [Google Cloud Platform (GCP)]() Tags: [cloud](), [cloud-native](), [cloud-run](), [devops](), [gcp](), [google-cloud](), [infrastructure-engineering](), [internal-developer-platform](), [kubernetes](), [migrations](), [ops](), [platform-engineering](), [product-development](), [serverless]() ### AI overview This opinion article questions whether Kubernetes is the right abstraction for every cloud workload. It describes organizations choosing serverless approaches instead, including a customer migrating an e-commerce platform to Google Cloud without Kubernetes, while noting concerns about workload fit, re-architecting, cost, and efficiency. ### Source excerpt I think it's safe to say Kubernetes has "won" the cloud mindshare game. If you look at the CNCF Cloud Native landscape (and manage to not go cross eyed), it seems like most of the projects are somehow related to Kubernetes. KubeCon is one of the fastest-growing industry events. Companies we talk to at Real Kinetic who are either preparing for or currently executing migrations to the cloud are centering their strategies around Kubernetes. Those already in the cloud are investing heavily in platform-izing their Kubernetes environment. Kubernetes competitors like Nomad, Pivotal Cloud Foundry, OpenShift, and Rancher have sort of just faded to the background (or simply pivoted to Kubernetes). In many ways, "cloud native" seems to be equated with "Kubernetes". [Next page]()