# Cloud Functions Published articles for Cloud Functions. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Introducing Firebase spend caps DevFeed: [Introducing Firebase spend caps]() Original publisher: [Read original article]() Author: Yvonne Monterroso Published: 2026-09-14T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [API](), [Cloud](), [Google]() Tags: [ai-logic](), [api](), [app-hosting](), [billing](), [cloud](), [cloud-functions](), [configuration](), [financial](), [firebase](), [firebase-console](), [google-cloud]() ### AI overview Firebase introduces spend caps for eligible services, including Firebase AI Logic, Cloud Functions for Firebase, and Firebase App Hosting. Developers can set service-level limits, receive alerts at 50%, 80%, and 100% of the budget, and pause a service when the cap is reached. ### Source excerpt Spend caps are designed to act as a circuit breaker for services like the Gemini API and Cloud Functions, reducing the risk of a financial surprise from a simple coding error or an unexpected spike in traffic. ## Building AI Agents in Dart with the Genkit Dart SDK DevFeed: [Building AI Agents in Dart with the Genkit Dart SDK]() Original publisher: [Read original article]() Author: Abhishek Doshi Published: 2026-08-10T23:16:05Z Content type: tutorial Language: en Sources: [Google Developer Experts - Medium]() Topics: [Dart](), [Genkit](), [AI Development](), [Flutter](), [Cloud Functions](), [Firebase](), [SDKs]() Tags: [ai](), [ai-agent](), [ai-agents](), [ai-development](), [cloud-functions](), [dart](), [firebase](), [flutter](), [generative-ai-tools](), [genkit](), [sdk]() ### AI overview This tutorial introduces the Genkit Dart SDK for building AI agents natively in Dart and deploying them to Cloud Functions for Firebase. It explains agent orchestration, conversational state, history, streams, models, tools, flows, and multi-agent delegation. ### Source excerpt Because your Flutter app deserves a brain, and you deserve to never look at a Python traceback again. Let's be honest. We all love Dart. It's clean, it's safe, and it powers our beloved Flutter. But until recently, if you wanted to build serious, multi-step AI agents, the industry basically told you to pack your bags, leave your cozy typed ecosystem, and go write Python. Gross 🤮 Thankfully, Google finally heard our collective sighs and dropped the Genkit Dart SDK. Now, you can build full-stack, hyper-intelligent AI agents natively in Dart and deploy them straight to Cloud Functions for Firebase. No context-switching. No spinning up a random Node.js microservice just to talk to an LLM. Grab your coffee (or your energy drink of choice). Let's look at how Genkit turns your Dart code into an absolute powerhouse. https://medium.com/media/91c2efa4198c043f3f400f216214650e/hrefThe Shift: From "Dumb Chatbots" to "Autonomous Overlords" Building traditional chatbots or strict multi-step UI flows often feels like playing one of those terrible, rigid video games that block you at a level until you do exactly what the developers scripted. Agentic AI, by contrast, is the ultimate open-ended sandbox. An agent doesn't just blindly answer a prompt. It analyzes what the user wants, figures out which tools it needs to achieve the goal, and dynamically orchestrates the steps to get there. With Genkit's new Agents API, all the messy plumbing: maintaining conversational state, keeping track of history, and parsing streams, is handled behind a single API. You just focus on giving it a brain. The Holy Trinity: Models, Tools, and Flows To stop your AI from just hallucinating fan-fiction, Genkit uses a few core primitives. Think of this as the toddler-proofing stage of AI development. Models (ai.generate()): The actual brain. Whether you are using Gemini, Claude, or OpenAI, the API stays exactly the same. Tools (defineTool): This is how you give your AI hands. By defining strict input schemas ## Triple-layer security for Firebase web apps DevFeed: [Triple-layer security for Firebase web apps]() Original publisher: [Read original article]() Author: Roger Martinez Published: 2026-07-30T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Security](), [Web app](), [Firestore]() Tags: [app-check](), [apps](), [article](), [cloud-functions](), [firebase](), [firestore](), [security](), [security-rules](), [tutorials](), [web](), [web-apps]() ### AI overview This tutorial explains three layers of security for Firebase web apps: Firebase Security Rules, Google Cloud service accounts, and Firebase App Check. It focuses on narrowing Firestore rules by resource, allowed operations, and client identity, including a rule that limits reads to published articles. ### 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. ## Realtime PostgreSQL: From Data Connect to SQL Connect DevFeed: [Realtime PostgreSQL: From Data Connect to SQL Connect]() Original publisher: [Read original article]() Author: Cynthia Wang Published: 2026-04-29T00:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [PostgreSQL](), [SQL](), [Firebase](), [GraphQL](), [Caching](), [reactive](), [SDKs]() Tags: [admin-sdk](), [caching](), [cloud-functions](), [firebase](), [full-text-search](), [graphql](), [postgresql](), [real-time](), [realtime](), [sdks](), [sql](), [sql-connect](), [updates]() ### AI overview Firebase announces that Firebase Data Connect is becoming Firebase SQL Connect, with a renewed focus on PostgreSQL and expanded SQL capabilities. The update includes Realtime Query Updates, Offline Caching, raw SQL alongside GraphQL, and lower-friction access for prototypes and testing. ### Source excerpt News, tutorials, and updates from the Firebase team. ## What's new from Firebase at Cloud Next 2026 DevFeed: [What's new from Firebase at Cloud Next 2026]() Original publisher: [Read original article]() Author: Seba Gnagnarella; Arthur Thompson; Kristen Richards Published: 2026-04-22T11:30:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Cloud](), [Firestore](), [PostgreSQL](), [SQL](), [Mobile](), [Web](), [GraphQL]() Tags: [2026](), [ai](), [ai-logic](), [ai-studio](), [app-check](), [application-design-center](), [authentication](), [cloud-functions](), [cloud-next](), [dart-on-the-server](), [firebase](), [firestore](), [flutter](), [full-text-search](), [gemini](), [geo-queries](), [graphql](), [hybrid-inference](), [mobile](), [news](), [phone-number-verification](), [postgresql](), [sql](), [sql-connect](), [updates](), [web]() ### AI overview Firebase describes announcements from Cloud Next 2026, including the evolution of Firebase Data Connect into Firebase SQL Connect with realtime syncing, offline cache, and native SQL support. The article also covers Firestore Enterprise pipeline queries moving to general availability. ### Source excerpt News, tutorials, and updates from the Firebase team. ## 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) ## Fueld.AI's nutrition coach with Firebase and Google Cloud DevFeed: [Fueld.AI's nutrition coach with Firebase and Google Cloud]() Original publisher: [Read original article]() Author: Raïssa Tona Published: 2025-06-25T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Google Cloud Platform (GCP)](), [Artificial Intelligence](), [Cloud Functions](), [Firestore](), [Genkit]() Tags: [ai](), [authentication](), [case-study](), [cloud-functions](), [cloud-logging](), [cloud-storage](), [firebase](), [firestore](), [gemini](), [genkit](), [google-analytics](), [google-cloud](), [hosting](), [news](), [vertex-ai]() ### AI overview Fueld.AI used Firebase and Google Cloud services to build a health and nutrition app that analyzes meal photos, provides AI coaching, and securely shares data with health professionals. The article describes its use of Authentication, Cloud Storage, Cloud Functions, Genkit, Gemini, Cloud Firestore, Hosting, Analytics, and Cloud Logging. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Three key facts about serverless reliability DevFeed: [Three key facts about serverless reliability]() Original publisher: [Read original article]() Author: Andre Newman Published: 2025-04-08T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [Serverless](), [Availability](), [AWS Lambda](), [Amazon Web Services](), [azure functions]() Tags: [architectures](), [availability](), [aws](), [aws-lambda](), [azure](), [blog](), [cloud-functions](), [high-availability](), [serverless](), [sre]() ### AI overview This article explains that serverless computing transfers server provisioning and maintenance responsibilities to cloud providers but does not guarantee application reliability. It emphasizes that teams retain control over code reliability and discusses risks such as outages, networking errors, and configuration changes. ### Source excerpt Serverless means not managing servers, but you still need to consider reliability. In our latest blog, learn why and how to build resilient serverless applications. ## Build Responsive, AI-powered Apps with Cloud Functions for Firebase DevFeed: [Build Responsive, AI-powered Apps with Cloud Functions for Firebase]() Original publisher: [Read original article]() Author: Daniel Lee; Jeff Huleatt Published: 2025-03-06T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Cloud Functions](), [Firebase](), [Streaming](), [Genkit](), [Generative AI]() Tags: [ai](), [cloud-functions](), [firebase](), [gemini](), [generative-ai](), [genkit](), [javascript](), [node-js](), [streaming](), [web](), [web-app]() ### AI overview Firebase introduces streaming responses for callable Cloud Functions and a new Genkit trigger. Streaming lets servers send data to clients incrementally, improving responsiveness for AI-generated content and large or real-time datasets. ### Source excerpt Announcing streaming callables and a new Genkit trigger. ## Trippy Wins the Gemini API Developer Competition with a Firebase-Powered Travel App DevFeed: [Trippy Wins the Gemini API Developer Competition with a Firebase-Powered Travel App]() Original publisher: [Read original article]() Author: Lloyd Hightower Published: 2024-11-21T00:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Artificial Intelligence](), [API](), [App](), [Cloud Functions](), [Firestore](), [Serverless](), [Authentication](), [Cloud](), [real-time]() Tags: [ai](), [app](), [authentication](), [backend](), [cloud-functions](), [cloud-messaging](), [cloud-storage](), [firebase](), [firestore](), [gemini](), [machine-learning](), [messaging](), [news](), [notifications](), [real-time](), [recognition](), [recommendations](), [serverless](), [storage](), [travel](), [vertex-ai]() ### AI overview Firebase announces Trippy as the winner of its Gemini API Developer Competition. The travel app combines Gemini with Firebase services to provide personalized itineraries, recommendations, multilingual support, games, receipt-based expense tracking, currency conversion, and contextual chat. ### Source excerpt News, tutorials, and updates from the Firebase team. ## 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 ## Query-Defined Infrastructure with Firebase Data Connect DevFeed: [Query-Defined Infrastructure with Firebase Data Connect]() Original publisher: [Read original article]() Author: Michael Bleigh Published: 2024-05-28T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [PostgreSQL](), [Database](), [Query (disambiguation)](), [Back end](), [SDKs]() Tags: [backend](), [cloud-functions](), [data](), [database](), [firebase](), [graphql](), [postgresql](), [realtime-database](), [sdks](), [sql-connect]() ### AI overview Firebase Data Connect brings PostgreSQL and relational querying to Firebase. It lets developers declare an application data model and required queries, then automatically creates a PostgreSQL schema, secured server endpoints, and typesafe SDKs. ### Source excerpt A new product bringing the power of PostgreSQL and relational querying to the Firebase ecosystem ## Python support for Cloud Functions for Firebase reaches general availability DevFeed: [Python support for Cloud Functions for Firebase reaches general availability]() Original publisher: [Read original article]() Author: Chris Gill; Jeff Huleatt Published: 2023-11-16T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Python](), [Cloud Functions](), [Back end](), [JavaScript](), [Machine learning]() Tags: [backend](), [cloud-functions](), [data-processing](), [firebase](), [firestore](), [github](), [guide](), [javascript](), [launch](), [machine-learning](), [python](), [tensorflow](), [web]() ### AI overview Cloud Functions for Firebase now offers Python support in general availability, enabling developers to write backend functions in Python for production apps. The article describes integrations with machine learning libraries and services, HTTP and callable triggers, Firebase background events, structured logging, and getting-started resources. ### Source excerpt Python server code for your production Firebase apps. ## Firebase announces its first Demo Day with 10 demos and technical resources DevFeed: [Firebase announces its first Demo Day with 10 demos and technical resources]() Original publisher: [Read original article]() Author: Annum Munir Published: 2023-11-08T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Development](), [Google](), [Flutter](), [Artificial Intelligence]() Tags: [ai](), [android](), [app-distribution](), [authentication](), [cloud-functions](), [cloud-storage](), [crashlytics](), [demo](), [demo-day](), [development](), [event](), [extensions](), [firebase](), [firestore](), [flutter](), [google](), [google-analytics](), [ios](), [kotlin](), [launch](), [palm](), [project-idx](), [python](), [remote-config](), [swift](), [terraform](), [web](), [windows]() ### AI overview Firebase announces its first Demo Day, releasing 10 prerecorded videos and technical resources covering app development, AI workflows, Flutter and Project IDX integrations, security, infrastructure, and Firebase console updates. ### Source excerpt After sharing tons of teasers and behind-the-scenes footage over the past few weeks, we're excited to announce that our very first Demo Day is finally here! ## Blog: Integrate Runtime Security into Your Environment with Falcosidekick DevFeed: [Blog: Integrate Runtime Security into Your Environment with Falcosidekick]() Original publisher: [Read original article]() Published: 2023-10-24T00:00:00Z Content type: article Language: en Sources: [Falco - Falco](), [Falco - The Falco blog]() Topics: [Falco](), [Security](), [threat detection](), [Kubernetes](), [Cloud Native Ecosystem](), [Open Source](), [Tooling](), [AWS Lambda](), [Cloud Functions](), [Cloud Run](), [Kafka](), [RabbitMQ]() Tags: [aws-lambda](), [cloud-functions](), [cloud-native](), [cloud-run](), [falco](), [falcosidekick](), [integrations](), [kafka](), [kubernetes](), [notifications](), [rabbitmq](), [runtime-security](), [security](), [tool]() ### AI overview This article explains how Falcosidekick extends Falco's limited default output options by forwarding runtime-security events to services such as Slack, PagerDuty, email, AWS Lambda, cloud functions, and message queues. It describes configurable notifications and automated responses for suspicious activity in cloud, container, and Kubernetes environments. ### Source excerpt If you're looking to integrate runtime security into your existing environment, Falco is an obvious choice. Falco is a Cloud Native Computing Foundation backed open source project that provides real-time threat detection for cloud, container, and Kubernetes workloads. With over 80 million downloads Falco has been adopted by some of the largest companies in the world. However, what many Falco users discover early on is that Falco's default event output is rather limited. Out of the box, Falco can only send output to five different endpoints: syslog, stdout, stderr, and gRPC or HTTPS endpoints. While these outputs might be enough to get you started, most practitioners want to integrate Falco with the tooling they already use. This is where Falcosidekick comes in. Falcosidekick is a companion (i.e. a side-kick ;)) project for Falco that allows Falco events to be forwarded to 60 different services (with more being added all the time) allowing practitioners to monitor and react to Falco events with the tools they are already using. For example, if you'd like to receive immediate notifications of suspicious activity you can forward Falco events to chat programs such as Slack or Telegram, alerting platforms like PagerDuty or AlertManager, or, of course, email. In order to minimize noise, you can expressly set the level on which to notify, for example, warning-level events might be delivered via email, while critical or higher-level events are sent via chat or directed to your alerting platform. If you want to programmatically address certain events, Falcosidekick integrates with a bunch of different services including functions as a service platforms like AWS Lambda, GCP Cloud Run and Cloud Functions, or Knative. Alerts can also be sent to message queues like Amazon SNS, Apache Kafka, or RabbitMQ. These integrations offer almost endless possibilities for building out response systems for events. For instance, let's say you're running Falco on your Kubernetes cluster, and F ## Meta's serverless platform processes trillions of function calls a day DevFeed: [Meta's serverless platform processes trillions of function calls a day]() Original publisher: [Read original article]() Author: Engineer's Codex Published: 2023-10-22T17:32:27Z Content type: article Language: en Sources: [Engineer's Codex]() Topics: [Meta](), [Function as a Service (FaaS)](), [AWS Lambda](), [Google Cloud Platform (GCP)](), [Cloud](), [benchmarking]() Tags: [aws](), [aws-lambda](), [azure](), [azure-functions](), [cloud-functions](), [faas](), [function-as-a-service-faas](), [meta](), [performance](), [serverless]() ### AI overview This article summarizes and explains Meta's XFaaS, a private serverless platform for non-user-facing functions. It describes how XFaaS reduces startup overhead, predicts spiky workloads, and spreads work across time and datacenters to improve hardware utilization and manage cost. ### Source excerpt XFaaS is Meta's private platform for "Hyperscale and Low Cost Serverless Functions." It is more efficient than AWS Lambda, Azure Functions, and Google Cloud Functions. ## Cloud Functions for Firebase 2nd gen goes GA and adds support for Python DevFeed: [Cloud Functions for Firebase 2nd gen goes GA and adds support for Python]() Original publisher: [Read original article]() Author: Chris Gill; Jeff Huleatt Published: 2023-07-31T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Cloud Functions](), [Firebase](), [Python](), [Cloud Run]() Tags: [announce](), [cloud-functions](), [cloud-run](), [concurrency](), [firebase](), [google](), [launch](), [preview](), [python](), [web]() ### AI overview Cloud Functions for Firebase 2nd gen is generally available for production apps. The release improves efficiency through concurrency, adds new EventArc-powered triggers, and introduces public-preview support for writing functions in Python. ### Source excerpt Cloud Functions for Firebase 2nd gen, now Generally Available, features more efficient functions, new triggers, and support for Python. ## Firebase updates announced at Google I/O 2023 include PaLM API Extensions and full-stack development improvements DevFeed: [Firebase updates announced at Google I/O 2023 include PaLM API Extensions and full-stack development improvements]() Original publisher: [Read original article]() Author: Dmitry Lyalin Published: 2023-05-10T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Google](), [Extension](), [Generative AI](), [PaLM API](), [Firestore](), [Development](), [Serverless]() Tags: [ai](), [android](), [app-check](), [app-distribution](), [astro](), [cloud-functions](), [crashlytics](), [extension](), [extensions](), [firebase](), [firestore](), [flutter](), [full-stack-development](), [generative-ai](), [google](), [google-i-o](), [ios](), [launch](), [palm](), [palm-api](), [performance-monitoring](), [python](), [remote-config](), [serverless](), [svelte](), [terraform](), [updates](), [vue](), [web]() ### AI overview Firebase announces Google I/O 2023 updates including new generative AI Extensions powered by the PaLM API, a preview of the Chatbot with PaLM API extension, and improvements intended to simplify full-stack development. ### Source excerpt Everything we shipped! From AI Extensions to launches that simplify full stack development ## Managing Cloud Messaging Tokens DevFeed: [Managing Cloud Messaging Tokens]() Original publisher: [Read original article]() Author: Andrea Wu Published: 2023-04-13T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [SDKs](), [Cloud Functions](), [Firestore](), [BigQuery](), [API](), [App](), [backends]() Tags: [android](), [apis](), [bigquery](), [cloud-functions](), [cloud-messaging](), [code](), [firebase](), [firestore](), [sdk](), [tutorials]() ### AI overview This Firebase tutorial explains how to generate, retrieve, store, and update Firebase Cloud Messaging registration tokens. It covers token changes, token freshness, and examples using Cloud Firestore and Cloud Functions for Firebase, with notes for applications that use their own servers. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Firebase 2022 Recap! DevFeed: [Firebase 2022 Recap!]() Original publisher: [Read original article]() Author: David East Developer Advocate Frank van Puffelen Engineer Published: 2023-02-15T00:00:00Z Content type: article Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Firestore](), [Flutter](), [Google Cloud Platform (GCP)](), [Realtime Database](), [Cloud Functions](), [Dart](), [VPC](), [BigQuery](), [.env]() Tags: [bigquery](), [cloud-functions](), [cross-platform](), [dart](), [environment-variables](), [features](), [firebase](), [flutter](), [mobile](), [recap](), [releases](), [upgrades]() ### AI overview A recap of Firebase features and improvements released in 2022, including Firestore access through VPC configuration, Flutter configuration in Dart code, Realtime Database iteration, Test Lab result views, Firestore Key Visualizer, and .env and secrets support for Cloud Functions. ### Source excerpt A giant list off features, upgrades, and other stuff we shipped in 2022! ## Fewer cold starts, more features in Cloud Functions DevFeed: [Fewer cold starts, more features in Cloud Functions]() Original publisher: [Read original article]() Author: Dmitry Lyalin; Jeff Huleatt Published: 2022-12-01T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Cloud Functions](), [Concurrency](), [Latency](), [Cloud]() Tags: [cloud-functions](), [concurrency](), [firebase](), [latency](), [launch](), [new-features](), [performance](), [updates](), [web]() ### AI overview The post recaps new Cloud Functions for Firebase capabilities, including the preview of Cloud Functions 2nd gen, reduced cold starts through concurrency, faster deploys, and type-safe configuration. ### Source excerpt In this post we'll catch you up to the latest new capabilities including less cold starts, faster deploys, and type-safe configuration, all implemented to make it easier to write and deploy faster, safer functions. ## What's new at Firebase Summit 2022 DevFeed: [What's new at Firebase Summit 2022]() Original publisher: [Read original article]() Author: Kara Yu Published: 2022-10-18T00:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Angular](), [Next.js](), [Deployment]() Tags: [android](), [app-check](), [authentication](), [c-plus-plus](), [c-sharp](), [cloud-functions](), [cloud-messaging](), [cloud-storage](), [crashlytics](), [deployment](), [extensions](), [firebase](), [firebase-summit](), [firestore](), [flutter](), [games](), [google-analytics](), [in-app-messaging](), [machine-learning](), [news](), [performance-monitoring](), [personalization](), [realtime-database](), [remote-config](), [unity](), [updates](), [web]() ### AI overview Firebase's 2022 Summit article announces platform updates, including preview support in Firebase Hosting for deploying dynamic web frameworks such as Next.js and Angular Universal through the Firebase CLI. ### Source excerpt News, tutorials, and updates from the Firebase team. 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