# Cloud Functions Cloud Functions is a Google Cloud serverless platform for writing, deploying, and running event-triggered functions in managed environments. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 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 ## 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. ## 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. ## 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. ## 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. ## 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 ## 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. ## 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. ## Building Firebase Quickdraw Multiplayer DevFeed: [Building Firebase Quickdraw Multiplayer]() Original publisher: [Read original article]() Author: Tri Cao; Scott Shipman Published: 2022-06-14T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Web app](), [Cloud Functions](), [Realtime Database](), [Artificial Intelligence]() Tags: [ai](), [cloud-functions](), [firebase](), [games](), [google-analytics](), [hosting](), [multiplayer](), [performance-monitoring](), [realtime-database](), [web-app]() ### AI overview This tutorial explains how Firebase Quickdraw, a web game with an AI guessing bot, was extended with multiplayer functionality. It covers shareable rooms for up to four players, Realtime Database, Cloud Functions, Firebase Hosting, Google Analytics, and Firebase Performance Monitoring. ### Source excerpt Build a multiplayer game with Firebase! ## Converting between Firestore FieldValue and Variant DevFeed: [Converting between Firestore FieldValue and Variant]() Original publisher: [Read original article]() Author: Konstantin Varlamov Published: 2021-09-24T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firestore](), [union types](), [Firebase](), [Realtime Database](), [C++](), [SDKs](), [Cloud Functions]() Tags: [best-practices](), [c-plus-plus](), [class](), [cloud-functions](), [data](), [database](), [firebase](), [firestore](), [realtime-database](), [sdk]() ### AI overview A Firebase team tutorial explains how to convert between Firestore C++ SDK FieldValue and Variant values. It describes their overlapping but non-identical domains and presents an application-specific approach, including straightforward conversion of primitive values and considerations for strings and blobs. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Building Firebase Quickdraw DevFeed: [Building Firebase Quickdraw]() Original publisher: [Read original article]() Author: Firebase Team Published: 2021-06-29T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [App](), [AI Models](), [Cloud Functions](), [Firestore](), [hosting](), [Tensorflow]() Tags: [ai](), [ai-models](), [building](), [case-study](), [cloud-functions](), [firebase](), [firestore](), [hosting](), [machine-learning](), [tutorials]() ### AI overview The Firebase team describes building Firebase Quickdraw, a collaborative hackathon app that uses an AI bot to guess users' drawings. The article explains how Firebase Hosting, Cloud Firestore, Cloud Functions, and a deployed TensorFlow model support the game, scoring, leaderboard, and deployment. ### Source excerpt News, tutorials, and updates from the Firebase team. ## How do you build the I/O photo booth? DevFeed: [How do you build the I/O photo booth?]() Original publisher: [Read original article]() Author: Firebase Team Published: 2021-05-27T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Flutter](), [Web app](), [Cloud Functions](), [hosting]() Tags: [case-study](), [cloud-functions](), [firebase](), [flutter](), [hosting](), [security-rules](), [tutorials](), [web-app]() ### AI overview A technical tutorial explaining how the I/O photo booth was built as a Flutter web app powered by Firebase. It covers anonymous authentication, security rules, hosting, storage, and Cloud Functions for photo sharing. ### Source excerpt News, tutorials, and updates from the Firebase team. ## What's new from Firebase at Google I/O 2021 DevFeed: [What's new from Firebase at Google I/O 2021]() Original publisher: [Read original article]() Author: Kristen Richards Published: 2021-05-18T00:00:00Z Content type: release Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Emulator](), [Google](), [Command-line interface](), [Cloud Functions](), [Authentication](), [Android]() Tags: [a-b-testing](), [android](), [app-check](), [app-distribution](), [cli](), [cloud](), [cloud-functions](), [crashlytics](), [emulator-suite](), [extensions](), [firebase](), [firebase-cli](), [games](), [google](), [google-i-o](), [google-i-o-2021](), [launch](), [news](), [performance-monitoring](), [personalization](), [pre-release](), [remote-config](), [testing](), [tutorials](), [updates](), [web]() ### AI overview Firebase announces updates presented at Google I/O 2021, including a Storage Emulator for the Emulator Suite and Android App Bundle support in Firebase App Distribution. The updates target app development, testing, backend emulation, and user experience. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Helpful product updates from Firebase Summit 2020 DevFeed: [Helpful product updates from Firebase Summit 2020]() Original publisher: [Read original article]() Author: Francis Ma Published: 2020-10-27T00:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Authentication](), [Cloud Functions](), [Emulator](), [Realtime Database](), [App](), [Cloud](), [Development]() Tags: [authentication](), [bigquery](), [cloud](), [cloud-functions](), [cloud-messaging](), [community](), [crashlytics](), [emulator-suite](), [extensions](), [firebase](), [firebase-summit](), [firestore](), [google-analytics](), [hosting](), [in-app-messaging](), [ios](), [performance-monitoring](), [product-updates](), [realtime-database](), [remote-config](), [tutorials](), [unity](), [web]() ### AI overview Firebase Summit 2020 introduced product updates including a Firebase Authentication emulator for rapid local iteration and development, alongside continued investment in tools for app development and operation. The article also highlights Firebase usage growth and the role of Firebase and Google Cloud in supporting apps such as Classkick. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Manage your Remote Config templates from the Admin Node.js SDK DevFeed: [Manage your Remote Config templates from the Admin Node.js SDK]() Original publisher: [Read original article]() Author: Lahiru Maramba Published: 2020-08-10T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Node.js](), [SDKs](), [API](), [Cloud Functions]() Tags: [admin-sdk](), [cloud-functions](), [firebase](), [launch](), [news](), [node-js](), [remote-config](), [tutorials](), [updates]() ### AI overview This tutorial explains how to manage Firebase Remote Config templates with the Admin Node.js SDK. It covers creating or retrieving templates, modifying conditions and parameters, validating changes, and publishing updated versions. The feature was introduced in Admin SDK version 8.13.0 and supports backend servers and managed environments such as Google Cloud Functions. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Search Box and Cloud Function DevFeed: [Search Box and Cloud Function]() Original publisher: [Read original article]() Published: 2020-04-01T06:45:57Z Content type: tutorial Language: en Sources: [Ariya Hidayat]() Topics: [Firebase](), [Cloud Functions](), [hosting](), [DuckDuckGo](), [Hugo]() Tags: [cloud-functions](), [domain](), [firebase](), [hosting](), [hugo](), [search](), [static-site]() ### AI overview A tutorial showing how to add a search box to a Hugo blog hosted on Firebase Hosting by using Cloud Functions for Firebase and redirecting searches to DuckDuckGo. ### Source excerpt For a blog hosted with Firebase Hosting, it turns out that a little search box is fairly easy to implement by using Cloud Functions for Firebase. ## How the Google Doodle team used the Realtime Database to build a multiplayer game DevFeed: [How the Google Doodle team used the Realtime Database to build a multiplayer game]() Original publisher: [Read original article]() Author: Jacob Howcraft Published: 2020-01-28T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Realtime Database](), [Firebase](), [Cloud Functions](), [JavaScript]() Tags: [case-study](), [cloud-functions](), [firebase](), [javascript](), [multiplayer](), [realtime](), [realtime-database]() ### AI overview The Google Doodle team describes how it used Firebase Realtime Database and Cloud Functions for Firebase to build the multiplayer Lotería game, including real-time card dealing, winner detection, and matchmaking. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Cloud Functions for Firebase expands to include Firebase Test Lab results DevFeed: [Cloud Functions for Firebase expands to include Firebase Test Lab results]() Original publisher: [Read original article]() Author: Doug Stevenson Published: 2019-07-24T00:00:00Z Content type: news Language: en Sources: [Firebase Blog]() Topics: [Cloud Functions](), [Firebase](), [Firebase CLI](), [Android](), [iOS](), [SDKs](), [Google]() Tags: [android](), [backend](), [cloud-functions](), [deployment](), [firebase](), [firebase-cli](), [ios](), [javascript](), [launch](), [news](), [sdk](), [slack](), [test-lab](), [updates]() ### AI overview Firebase Test Lab now supports Cloud Functions triggers that receive test results when automated tests complete. Developers can use the triggers to process results and connect them to team workflows. ### Source excerpt News, tutorials, and updates from the Firebase team. ## Scheduling Cloud Functions for Firebase (cron) DevFeed: [Scheduling Cloud Functions for Firebase (cron)]() Original publisher: [Read original article]() Author: Doug Stevenson Published: 2019-04-18T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [Cloud Functions](), [Firebase CLI](), [SDKs](), [Google](), [Publish-subscribe pattern](), [Command-line interface]() Tags: [cli](), [cloud-functions](), [cloud-pub-sub](), [firebase](), [firebase-cli](), [github](), [launch](), [payment](), [pricing](), [scheduler](), [sdk](), [sdks](), [tutorials](), [updates]() ### AI overview Firebase introduces scheduled Pub/Sub functions built on Cloud Scheduler, allowing developers to schedule Cloud Functions for Firebase using Firebase tools and SDKs. The article covers cron syntax, setup requirements, billing, and costs. ### Source excerpt News, tutorials, and updates from the Firebase team. [Next page]()