Cloud Run documentation
Cloud Run is a managed compute platform that enables you to run containers that are invocable via requests or events. Cloud Run is serverless: it abstracts away all infrastructure management, so you can focus on what matters most — building great applications. Learn more.
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Platform engineering with Cloud Run
Etsy’s Service Platform → https://goo.gle/3FQYFcp Discover how Etsy leverages Google Cloud Run to build a streamlined service platform, allowing engineers to focus on development rather than infrastructure. Join Martin Omander, Developer Advocate at
How to use Gemini function calling with Cloud Run
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Text to image with Google Cloud’s Vertex AI on Cloud Run
Code lab → https://goo.gle/4iLL2KK Unleash your creativity and build an image generation app using Vertex AI on Google Cloud. With Google Cloud's Vertex AI image generation model, developers can create stunning visuals without the need for complex
How to use Stable Diffusion on Cloud Run
Codelab → https://goo.gle/41tWN1W Discover how to use GPUs in Cloud Run for running Stable Diffusion, an open-source model for generating images from text prompts. Join Googlers Martin Omander and Lisa Shen as they demonstrate how to set up Stable
Cloud migration insights from banking
Christian Gorke, VP and Head of Cyber Center of Excellence at Commerzbank, shares insights from their cloud migration journey, highlighting key lessons learned and practical advice for organizations moving to the cloud. Discover the importance of
Protecting sensitive data in AI apps
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RAG vs Model tuning vs Large prompt window
GitHub → https://goo.gle/3AEsyul Take a dive into the three primary methods for integrating your data into AI applications: prompts with long context windows, Retrieval Augmented Generation (RAG), and model tuning. Learn the strengths, limitations,
RAG with LangChain on Google Cloud
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Prompt engineering for developers
Are you using chatbots and receiving high quality responses? It may be your prompt that is affecting the chatbot’s response. Take your generative AI skills to the next level by improving your prompts. Watch along and learn how to unlock more accurate
How to secure your cloud with VPC Service Controls
Overview of VPC Service Controls → https://goo.gle/405HhIT How you can mitigate data exfiltration with VPC Service Controls → https://goo.gle/3zY4xhA Discover how to strengthen your Google Cloud security posture with VPC Service Controls. Join Martin
Use GPUs in Cloud Run
Sign up for the preview → https://goo.gle/3NnobXv GPU best practices → https://goo.gle/4elRpBE Run LLM inference on Cloud Run GPUs with Ollama → https://goo.gle/3BwN6F1 Cloud Run, known for its scalability, now incorporates GPUs, ushering in a new
How to reduce deployment risk with blue-green deployments
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Calling Cloud Run from C#
Code repo → https://goo.gle/47tTU2l Calling an unauthenticated Cloud Run service from C# code is easy. But what if your Cloud Run service is locked down and requires authentication? Don’t worry as Jason De Lorme, Customer Engineer Manager at Google,
Safe RAG for LLMs
Blog post → https://goo.gle/4gfJoQh Code repo → https://goo.gle/4gnh12v Codelab → https://goo.gle/3XETh2r Large Language Models (LLMs) are pretty smart, but they don’t know everything. For example, an LLM might know why the sky is blue, but it
Build AI chat apps on Google Cloud
Code repo → https://goo.gle/3Z0DCeU Cloud Run → https://goo.gle/3MtfYAc Developers can build their own chat apps with the Gemini REST API. In this episode of Serverless Expeditions, Martin Omander teams up with John Hanley, Google Developer Expert
Infrastructure as code
In this episode Steve McGhee shows Martin Omander how to quickly restore a broken application in Google Cloud. By using “Infrastructure-as-Code” (IaC) you can prevent outages and improve the reliability of your cloud applications. Learn how to adopt
Multimodal AI
In this episode Lan and Ryan show Martin a multimodal AI application that solves a real business problem. “Multimodal” means that the application processes video, audio, and text to create output. Lan and Ryan demo the finished application and also
Run your Next.js app on Cloud Run
In this video Luke Schlangen shows Martin Omander how to run your Next.js web app on Google Cloud Run, without having to configure or manage any servers. Chapters: 0:00 Intro 2:23 Create the Next.js app 3:26 Display a list of things in the app 5:05
Cloud Run Principle of Least Privilege
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Cloud Run Jobs overrides
We often need to run Cloud Run Jobs with different parameters. For example, a job may need to look for files in different Cloud Storage buckets every time it runs. See how Karolína Netolická shows Martin Omander how to run jobs with default
Cloud Run volume mounts
Blog post → https://goo.gle/3vIqvD1 React video referenced in this video → https://goo.gle/4alM77o Did you ever want to use a shared file system (like a Cloud Storage bucket or NFS volume) from your Cloud Run services? Now you can! This makes it
Optimize Java on Cloud Run
Try out Dan's tips yourself in this codelab → https://goo.gle/3V04h9R Dan Dobrin helps developers improve the performance of their Cloud Run services written in Java. Listen in as he shares his tips with Martin Omander. Chapters: 0:00 - Intro 1:21 -
Using Serverless Generative AI
uild & deploy blazing-fast generative AI apps on Google Cloud without server management! This guide walks you through leveraging Vertex AI Studio and GCP Cloud Run to create serverless applications powered by cutting-edge generative models.
Safe serverless deployments with Cloud Run
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Google Cloud & Firebase: Two sides of the same coin
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We have all heard of NoSQL/non-relational databases. Do they perform well in large, real-life applications? Listen in as Jason Berryman tells Martin Omander of his experience using NoSQL/non-relational databases in client projects, and what lessons
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Not many serverless platforms support Rust, but JK found one that does: Cloud Run! Because Cloud Run executes your container in the cloud, it can run any programming language that you can find a container for. Come along and see how JK Gunnink and
Cloud Run scalability
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