Google Cloud Run VS Amazon API Gateway

Google Cloud Run Reviews

Amazon API Gateway Reviews

Google Cloud Run mentions (82)

• The 2024 Web Hosting Report

  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

• How to deploy a Django app to Google Cloud Run using Terraform

  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

• Golden Ticket To Explore Google Cloud

  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

• Ultimate Guide to User Authorization with Identity Platform

  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

• Reduce memory usage of NodeJS apps inside Docker

  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

Amazon API Gateway mentions (94)

• Serverless Security Best Practices

  Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security... - Source: dev.to / 19 days ago

• How to Master Multi Region Architectures in AWS

  Amazon API Gateway is a fully managed service by Amazon Web Services that provides customers with the capability to create, publish, maintain, monitor, and secure APIs at any scale. API Gateway is using regional endpoints that can be deployed in multi-AWS Regions to enable reduced latency. - Source: dev.to / 28 days ago

• Building a WhatsApp generative AI assistant with Amazon Bedrock and Python

  Amazon API Gateway receives the message from the WhatsApp webhook (previously authenticated). - Source: dev.to / 2 months ago

• The Energy Drink Episodes 2: The Rise of the Amazon API Gateway

  This is where we turn to the tried and true Amazon API Gateway and its many integrations. Using API Gateway, we can use services like AWS Lambda or AWS Step Functions to run logic against the payload that we receive. We can also use these integrations to return responses back to the user. - Source: dev.to / 6 months ago

• Controlling access to IAM-protected API endpoints with Cognito groups

  In this scenario we protect the backend compute resources with an HTTP API type of API Gateway. We'll set up IAM authorization at each route, which eliminates the need for tokens and custom authorizers. It's also the safest way to protect an endpoint since it delegates the authorization task to the robust IAM service. - Source: dev.to / 6 months ago