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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Google Cloud Run vs stdlib

Google Cloud Run vs stdlib

OverviewDecisionsComparisonAlternatives

Overview

stdlib
stdlib
Stacks17
Followers12
Votes0
GitHub Stars3.7K
Forks190
Google Cloud Run
Google Cloud Run
Stacks290
Followers243
Votes62

Google Cloud Run vs stdlib: What are the differences?

Developers describe Google Cloud Run 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. On the other hand, stdlib is detailed as "The Standard Library for Functions as a Service". It is the fastest, easiest way to build infinitely scalable, self-healing APIs. Standard Library is based on Function as a Service ("serverless") architecture, initially popularized by AWS Lambda. You can use Standard Library to build modular, scalable APIs for yourself and other developers in minutes without having to manage servers, gateways, domains, write documentation, or build SDKs. Your development workflow has never been easier - focus on writing code you love, let Standard Library handle everything else.

Google Cloud Run and stdlib belong to "Serverless / Task Processing" category of the tech stack.

Some of the features offered by Google Cloud Run are:

  • Simple developer experience
  • Fast autoscaling
  • Managed

On the other hand, stdlib provides the following key features:

  • Code online — Browser-based editor
  • Version-controlled API releases
  • Easy API sharing and access control

stdlib is an open source tool with 3.64K GitHub stars and 181 GitHub forks. Here's a link to stdlib's open source repository on GitHub.

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Advice on stdlib, Google Cloud Run

Clifford
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.
71.3k views71.3k
Comments

Detailed Comparison

stdlib
stdlib
Google Cloud Run
Google Cloud Run

It is the fastest, easiest way to build infinitely scalable, self-healing APIs. Standard Library is based on Function as a Service ("serverless") architecture, initially popularized by AWS Lambda. You can use Standard Library to build modular, scalable APIs for yourself and other developers in minutes without having to manage servers, gateways, domains, write documentation, or build SDKs. Your development workflow has never been easier - focus on writing code you love, let Standard Library handle everything else.

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.

Code online — Browser-based editor;Version-controlled API releases;Easy API sharing and access control;One centralized library for all your APIs;Auto-generated documentation
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
GitHub Stars
3.7K
GitHub Stars
-
GitHub Forks
190
GitHub Forks
-
Stacks
17
Stacks
290
Followers
12
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
Ruby
Ruby
Node.js
Node.js
Python
Python
Google Kubernetes Engine
Google Kubernetes Engine
Google Cloud Build
Google Cloud Build
Docker
Docker
Knative
Knative

What are some alternatives to stdlib, Google Cloud Run?

AWS Lambda

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

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

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

Google Cloud Functions

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

Knative

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

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

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

Apache OpenWhisk

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

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

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.

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