Dokumentasi Cloud Run
Cloud Run adalah platform compute terkelola yang memungkinkan Anda untuk menjalankan container yang dapat dipanggil melalui permintaan atau peristiwa. Cloud Run tidak memerlukan server: Platform ini memisahkan semua pengelolaan infrastruktur di lokasi lain, sehingga Anda dapat fokus pada hal terpenting, yakni membuat aplikasi yang andal. Pelajari lebih lanjut.
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How to use Gemini function calling with Cloud Run
Codelab → https://goo.gle/40eaGPO Explore the power of Gemini function calling and learn how to integrate external APIs into your AI applications. Join Martin Omander as he walks through building a weather app that leverages Gemini's natural language
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
Discover essential strategies for safeguarding sensitive data in AI applications on this episode of Serverless Expeditions. Join Martin Omander and Aron Eidelman as they explore key concepts, best practices, and tools for protecting data throughout
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
Codelab → https://goo.gle/4hbWChk Discover how to enhance the accuracy of your AI applications using Retrieval-Augmented Generation (RAG). Join Googlers Martin Omander and Miguel Reyes as they build a web application that leverages the power of RAG
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
Rollbacks, gradual rollouts, and traffic migration in Cloud Run → https://goo.gle/3MSWB45 Learn about blue-green deployments and how this technique can reduce deployment risk using Cloud Run. Using Cloud Run, Martin Omander and JK Gunnink showcase a
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
There are two security settings for Cloud Run services: what can trigger the service and what the service can do when it runs. Developers often forget about the latter, which can lead to lost data and cost overruns. Follow along as JK Gunnink shows
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
Learn how to apply SRE thinking it to make your serverless deployments with Cloud Run safer. Listen in as Steve McGhee shares his SRE (Site Reliability Engineering) experience from Google with Martin Omander. Chapters: 0:00 - Intro 1:06 - CI/CD 4:48
Google Cloud & Firebase: Two sides of the same coin
In this video, Martin Omander and Frank van Puffelen discuss the top Firebase features for Google Cloud developers. Watch along and learn about optimizations for custom domains, static file hosting, and more! Chapters: 0:00 - Intro 0:26 - Meet Martin
NoSQL in real-life projects
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
Rust on Cloud Run
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
Cloud Run lets you run containers in the cloud without having to worry about server configuration or maintenance. But does it scale up quickly enough? Join Wietse Venema and Martin Omander as they run a load test to find out! Chapters: 0:00 -
Run your Vue.js app on Google Cloud
Follow along as Martin Omander builds and deploys a Vue.js web app on Google Cloud. You will see every step of the way so you can do the same and deploy your app for all the world to see. And there will be no servers to provision or configure!
Run your Angular app on Google Cloud
Follow along as Martin Omander builds and deploys an Angular web app on Google Cloud. You will see every step of the way so you can do the same and deploy your app for all the world to see. And there will be no servers to provision or configure!
Long-running Cloud Run Jobs
Cloud Run Jobs is a great way of running unattended workloads on a schedule, like data conversions or cleanups. And your jobs can now run for up to 24 hours. Follow along as Karolína Netolická and Martin Omander deploy a data import job and try out