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Cloud Run

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  • 4 min

New Cloud Deploy Features Make Application Deployment Even More Efficient

Good practices alone aren’t enough to ship software regularly. You need good tools! There is no shortage of great tools for releasing software into production, but Cloud Deploy brings unique value to the table. Cloud Deploy is a fully managed, opinionated continuous delivery service that makes it faster and easier for you to consistently release software to runtimes like Google Kubernetes Engine and Cloud Run, and some exciting new features make it even more powerful. We were mindful of the developer experience right from the beginning as you are interacting with Cloud Deploy in the console. The GUI navigation experience is unambiguous —…
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  • 3 min

3 New Ways To Authorize Users To Your Private Workloads On Cloud Run

rns and what’s new in Cloud Run to help implement these patterns. 1. Internal Web Apps A common use-case many customers have is to build internal web applications that are accessible only to employees. Previously, you had to leverage a VPN and custom authentication flows, which wasn’t ideal. Now, you can simplify your login experience and get centralized access control with Identity-Aware-Proxy (IAP) support for Cloud Run, which is generally available.  Identity-Aware Proxy helps you move towards Zero Trust principles by providing secure access to applications running on Google Cloud or other cloud platforms, using OAuth 2.0 and OpenID Connect standards to authenticate…
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  • 7 min

Building Streaming Data Pipelines On Google Cloud

Many customers build streaming data pipelines to ingest, process and then store data for later analysis. We’ll focus on a common pipeline design shown below. It consists of three steps: For the processing component, we’ll review three alternatives, ranging from basic to advanced: a BigQuery subscription, a Cloud Run service, and a Dataflow pipeline. Example use cases Before we dive deeper into the implementation details, let’s look at a few example use cases of streaming data pipelines: Ingesting data with Pub/Sub Let’s start at the beginning. You have one or multiple data sources that publish messages to a Pub/Sub topic.…
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  • 3 min

These Retailers Have One Thing In Common

They run containers on Google Cloud. Why is that important and why should you care? Containers are at the heart of modern applications. According to the 2022 State of DevOps report, containers have been the number one deployment target for primary services and applications for the past two years, and adoption continues to accelerate rapidly. Nowhere is this more evident than in the retail industry. In a world where improving inventory margins and operational efficiency is a top priority, containers allow retail organizations’ IT teams to do just that. Google pioneered container technologies and Google Cloud is optimized for containers.…
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  • 3 min

A Journey From App Engine To Cloud Run: Adopting Containers And Reducing Infrastructure Costs By 70 Percent

Editor’s note: In today’s guest post we hear from SAP about their application modernization journey towards a serverless application architecture with Cloud Run. SAP developers partnered with Google Cloud Professional Services to migrate App Engine workloads to Cloud Run in just three weeks by focusing on small but efficient changes to the application, achieving remarkable cost savings. SAP is a global market leader in enterprise application software with nearly 110,000 employees. As a tech and data driven company, we use Google Cloud to run a variety of our internal applications. Our application stores and processes approximately 250,000 files per day,…
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  • 7 min

Auditing GKE Clusters Across The Entire Organization

Introduction Companies moving to the cloud and running containers are often looking for elasticity. The ability to scale up or down as needed, means paying only for the resources used. Using automation allows engineers to focus on applications rather than on the infrastructure. These are key features of the cloud native and managed container orchestration platforms like Google Kubernetes Engine (GKE). GKE clusters leverage Google Cloud to achieve the best in class security and scalability. They come with two modes of operation and a lot of advanced features. In Autopilot mode, clusters use more automation to reduce operational cost. This…
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  • 10 min

Movie Score Prediction With BigQuery, Vertex AI And MongoDB Atlas

Hey there! It’s been a minute since we last wrote about Google Cloud and MongoDB Atlas together. We had an idea for this new genre of experiment that involves BigQuery, BQML, Vertex AI, Cloud Functions, MongoDB Atlas, and Cloud Run and we thought of putting it together in this blog. You will get to learn how we brought these services together in delivering a full stack application and other independent functions and services the application uses. Have you read our last blog about Serverless MEAN stack applications with Cloud Run and MongoDB Atlas? If not, this would be a good…
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  • 6 min

Load Testing I/O Adventure With Cloud Run

In 2021 and 2022, Google I/O invited remote attendees to meet each other and explore a virtual world in the I/O Adventure online conference experience powered by Google Cloud technologies. (For more details on how this was done, see my previous post.) When building an online experience like I/O Adventure, it’s important to decide on a provisioning strategy early on. Before we could make that decision, however, we needed to have a reasonably accurate estimate of how many attendees to expect.Estimating the actual number of attendees in advance is easier for an in-person event than it is for a (free)…
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  • 5 min

Workflows Patterns And Best Practices – Part 2

This is part 2 of a three-part series of posts, in which we summarize Workflows and service orchestration patterns. You can apply these patterns to better take advantage of Workflows and service orchestration on Google Cloud.In the first post, we introduced some general tips and tricks, as well as patterns for event-driven orchestrations, parallel steps, and connectors. This second post covers more advanced patterns. Let’s dive in! Design for resiliency with retries and the saga pattern It’s easy to put together a workflow that chains a series of services, especially if you assume that those services will never fail. This…
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  • 5 min

Build A Chat Server With Cloud Run

With Cloud Run — the fully-managed serverless container platform on Google Cloud — you can quickly and easily deploy applications using standard containers. In this article, we will explain how to build a chat server with Cloud Run using Python as the development language. We will build it with the FastAPI framework, based on this FastAPI sample source code.[Note that this article does not provide detailed descriptions of each service. Refer to other articles for details like Cloud Run settings and the cloudbuild.yaml file format.] Chat server architecture The chat server consists of two Cloud Run services: frontend and backend.…
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