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Based on our record, Google Cloud Run seems to be a lot more popular than Azure Functions. While we know about 82 links to Google Cloud Run, we've tracked only 3 mentions of Azure Functions. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This article shows with the simple example how to manage Java-based serverless APIs build with Azure functions. It uses azure-functions plugin to integrate Apache APISIX API Gateway with Azure Serverless Function that invokes the HTTP trigger functions and return the response from Azure Cloud. - Source: dev.to / over 1 year ago
GitHub Actions for Azure: This GitHub Action allows developers to automate tasks on the Microsoft Azure platform. With this action, developers can easily integrate Azure services into their workflows, such as Azure Functions, App Services, and Kubernetes. This can help streamline DevOps workflows by automating tasks such as deployment, testing, and scaling on the Azure platform. - Source: dev.to / over 1 year ago
NoOps is best suited for born-in-the-cloud environments that leverage PaaS and serverless solutions. Microservices and API-based application architectures fit the bill perfectly, as they offer fine-grained modularity along with automation. Leading cloud service providers like AWS, Azure, and GCP have a laser focus on providing more services and capabilities in PaaS and serverless, which would help accelerate the... - Source: dev.to / almost 3 years ago
Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 3 months ago
Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 4 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago
The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 10 months ago
In our company we use Google Cloud Run to deploy web applications, and every app is built into a docker image. For now we use the default memory limit by Cloud Run which is 256 MB per container. Recently we started to notice that the part of applications go beyond this limit, causing a container to restart and in some cases even resulting to downtime of a service. - Source: dev.to / 10 months ago
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