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  4. Platform As A Service
  5. Google Cloud Run vs Heroku

Google Cloud Run vs Heroku

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Google Cloud Run
Google Cloud Run
Stacks292
Followers243
Votes62

Google Cloud Run vs Heroku: What are the differences?

Comparison Between Google Cloud Run and Heroku

  1. Deployment Model:

    • Google Cloud Run is a serverless platform that allows developers to deploy containerized applications and run them on demand. It is based on the Kubernetes ecosystem.
    • Heroku, on the other hand, is a Platform-as-a-Service (PaaS) that provides an easy and intuitive way to deploy applications without the need to manage infrastructure. It supports various programming languages and frameworks.
  2. Scaling:

    • Google Cloud Run automatically scales the number of instances up or down based on the incoming request traffic. It allows both manual and automatic scaling and can handle high traffic loads.
    • Heroku provides an auto-scaling feature as well, but it is limited in terms of scalability compared to Google Cloud Run. Heroku dynos have certain memory and CPU limitations, which might not be sufficient for high traffic applications.
  3. Pricing Model:

    • Google Cloud Run follows a pay-as-you-go pricing model, where you are billed based on the number of requests and resource consumption of your application.
    • Heroku offers a freemium model with a limited set of resources for free, and you need to upgrade to a paid plan for additional resources and features.
  4. Libraries and Dependencies:

    • Google Cloud Run allows you to use any programming language or runtime as long as it is containerized. It provides flexibility in terms of language choice and allows developers to use different libraries and dependencies.
    • Heroku has a curated list of supported languages and runtimes. While it supports popular programming languages like Ruby, Node.js, and Python, it may limit your choice of libraries and dependencies.
  5. Integration with Cloud Services:

    • Google Cloud Run integrates well with other Google Cloud services like Cloud Storage, Cloud Firestore, Cloud Pub/Sub, and more. This allows seamless communication between different services and makes it easier to build scalable applications.
    • Heroku has a wide range of integrations available, including popular services like PostgreSQL, Redis, MongoDB, and more. It also supports add-ons that can be easily plugged into your application.
  6. Deployment Options and Control:

    • Google Cloud Run provides a more comprehensive set of deployment options, including revision rollbacks, traffic splitting, and canary deployments. It gives developers more control over the deployment process and allows them to have different versions of their application running simultaneously.
    • Heroku simplifies the deployment process by providing easy-to-use command-line tools and a web interface. However, it lacks some advanced deployment features like traffic splitting and canary deployments.

In summary, Google Cloud Run offers a serverless platform with powerful scaling capabilities, flexible language support, extensive integration with Google Cloud services, and advanced deployment options. Heroku, on the other hand, provides a user-friendly PaaS with a freemium model, a curated list of supported languages, and a wide range of integrations.

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Advice on Heroku, 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.
71.4k views71.4k
Comments

Detailed Comparison

Heroku
Heroku
Google Cloud Run
Google Cloud Run

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

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.

Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.;Run and scale any type of app.;Total visibility across your entire app.;Erosion-resistant architecture. Rich control surfaces.
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
25.8K
Stacks
292
Followers
20.5K
Followers
243
Votes
3.2K
Votes
62
Pros & Cons
Pros
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
Cons
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    Storage
  • 7
    No usable MySQL option
  • 5
    Low performance on free tier
Pros
  • 11
    HTTPS endpoints
  • 10
    Pay per use
  • 10
    Fully managed
  • 7
    Serverless
  • 7
    Deploy containers
Integrations
Mailgun
Mailgun
Postmark
Postmark
Loggly
Loggly
Papertrail
Papertrail
Redis Cloud
Redis Cloud
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Nitrous.IO
Nitrous.IO
Logentries
Logentries
MongoLab
MongoLab
Gemfury
Gemfury
Google Kubernetes Engine
Google Kubernetes Engine
Google Cloud Build
Google Cloud Build
Docker
Docker
Knative
Knative

What are some alternatives to Heroku, Google Cloud Run?

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

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.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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