Architect vs Google Cloud Run

Overview

Architect

Stacks36

Followers87

Votes0

Google Cloud Run

Stacks290

Followers243

Votes62

Architect vs Google Cloud Run: What are the differences?

Developers describe Architect as "The simplest, most powerful way to build serverless applications". Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more. On the other hand, Google Cloud Run is detailed as "Run stateless HTTP containers on a fully managed environment or in your own GKE cluster". A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Architect and Google Cloud Run can be primarily classified as "Serverless / Task Processing" tools.

Some of the features offered by Architect are:

Version control your architecture and create cloud infra in minutes from an .arc manifest
Deploy in seconds with first class support for staging and production
Work locally while completely offline with a speedy in-memory database

On the other hand, Google Cloud Run provides the following key features:

Simple developer experience
Fast autoscaling
Managed

Architect is an open source tool with 596 GitHub stars and 48 GitHub forks. Here's a link to Architect's open source repository on GitHub.

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Advice on Architect, Google Cloud Run

Clifford

Software Engineer at Bidvest Advisory Services

Mar 28, 2020

Decided

Run cloud service containers instead of cloud-native services

Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
Start redirecting your traffic to the new resources.
Turn off the containers in the cloud you migrated from.

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Detailed Comparison

Architect	Google Cloud Run
Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.	A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
Version control your architecture and create cloud infra in minutes from an .arc manifest; Deploy in seconds with first class support for staging and production; Work locally while completely offline with a speedy in-memory database; Primitives not Frameworks; define app architecture agnostic of vendor arcana	Simple developer experience; Fast autoscaling; Managed; Any language, any library, any binary; Leverage container workflows and standards; Redundancy; Integrated logging and monitoring; Built on Knative; Custom domains
Statistics
Stacks 36	Stacks 290
Followers 87	Followers 243
Votes 0	Votes 62
Pros & Cons
No community feedback yet	Pros 11 HTTPS endpoints 10 Pay per use 10 Fully managed 7 Concurrency: multiple requests sent to each container 7 Serverless
Integrations
Amazon DynamoDB Amazon SQS Amazon CloudWatch AWS Lambda Amazon Route 53 Amazon S3 Amazon API Gateway Amazon SNS	Google Kubernetes Engine Google Cloud Build Docker Knative

What are some alternatives to Architect, Google Cloud Run?

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.