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AWS Auto Scaling VS Google App Engine

Compare AWS Auto Scaling VS Google App Engine and see what are their differences

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Contents:
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  3. » Reviews
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AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26
  • Google App Engine Landing page
    Landing page //
    2023-10-17

AWS Auto Scaling features and specs

  • Cost Efficiency
    AWS Auto Scaling helps reduce costs by automatically adjusting the number of running instances based on demand, ensuring that you only pay for what you use.
  • Improved Availability
    It enhances application availability by ensuring that applications always have the correct number of resources running to handle current workload demands.
  • Scalability
    AWS Auto Scaling enables applications to scale seamlessly both vertically and horizontally, accommodating both predictable and unpredictable workload patterns.
  • Load Balancing Integration
    Easily integrates with AWS Elastic Load Balancing, automatically distributing incoming application traffic across multiple targets such as Amazon EC2 instances.
  • Deploy Management
    Facilitates management of deployment processes by automatically scaling resources during deployments or updates to minimize service disruption.

Possible disadvantages of AWS Auto Scaling

  • Complexity
    Setting up and managing Auto Scaling can become complex, requiring careful planning to properly configure scaling policies and thresholds.
  • Latency in Scale Up
    There can be a delay in acquiring new resources when scaling up, as launching and configuring new instances takes some time.
  • Cost Management
    While cost management is an advantage, improperly configured auto scaling can lead to unexpected costs if there are spikes in demand.
  • Monitoring Requirements
    Constant monitoring and adjustments may be needed to ensure auto scaling policies align with business needs and performance metrics.
  • Learning Curve
    For newcomers, there can be a steep learning curve involved in understanding and effectively leveraging AWS Auto Scaling and related services.

Google App Engine features and specs

  • Auto-scaling
    Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
  • Managed environment
    App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
  • Integrated services
    Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
  • Multiple languages support
    Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
  • Security
    Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
  • Developer productivity
    App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
  • Versioning
    Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.

Possible disadvantages of Google App Engine

  • Cost
    While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
  • Vendor lock-in
    Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
  • Limited control
    Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
  • Environment constraints
    Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
  • Complex debugging
    Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
  • Cold start latency
    Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
  • Configuration complexity
    Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.

Analysis of Google App Engine

Overall verdict

  • Google App Engine is generally considered a good choice for developers looking for a serverless platform to deploy their applications quickly without managing underlying infrastructure. Its ease of use, scalability, and integration with Google's ecosystem make it a strong option, especially for projects expecting to scale significantly or require integration with other Google Cloud services.

Why this product is good

  • Google App Engine is a fully managed serverless platform that allows developers to build scalable web applications and mobile backends. It abstracts away infrastructure management, handles scaling automatically, and offers integration with other Google Cloud services, providing a high degree of flexibility and efficiency. Its key strengths include support for multiple programming languages, built-in security features, and seamless connectivity to Google's machine learning and data analytics tools.

Recommended for

    Google App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.

AWS Auto Scaling videos

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Google App Engine videos

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Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

Category Popularity

0-100% (relative to AWS Auto Scaling and Google App Engine)

AWS Auto Scaling

Google App Engine

Development
100 100%
Development
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Diagnostics Software
100 100%
Diagnostics Software
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Auto Scaling and Google App Engine

AWS Auto Scaling Reviews

We have no reviews of AWS Auto Scaling yet.
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Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
Source: blog.back4app.com
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...
Source: blog.appscale.com

Social recommendations and mentions

Based on our record, Google App Engine should be more popular than AWS Auto Scaling. It has been mentiond 32 times since March 2021. 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.

AWS Auto Scaling mentions (13)

  • Optimizing AWS Costs for AI Development in 2025
    Autoscaling is your best friend: Use Amazon SageMaker's Autoscaling or an autoscaling group with your EC2 inference instances. Configure it to scale based on a metric like CPU or GPU utilization. - Source: dev.to / about 2 months ago
  • Scalability: Explained
    This is a strategy mainly used in cloud environments, where resources are automatically scaled up or down based on real-time incoming traffic. AWS Auto Scaling helps you scale your applications hosted in AWS platform with a seamless experience. - Source: dev.to / about 1 year ago
  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / over 2 years ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / about 3 years ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: over 3 years ago
View more

Google App Engine mentions (32)

  • Unlocking the Cloud: Your Essential Guide to IaaS, PaaS, and SaaS Models
    Google App Engine - Google's fully managed platform for building scalable web and mobile backends. - Source: dev.to / 3 months ago
  • Guide to modern app-hosting without servers on Google Cloud
    If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 9 months ago
  • Security in the Cloud: Your Role in the Shared Responsibility Model
    As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 11 months ago
  • Hosting apps in the cloud with Google App Engine in 2024
    Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 12 months ago
  • Fixing A Broken Deployment to Google App Engine
    In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing AWS Auto Scaling and Google App Engine, you can also consider the following products

Zing - The worry-freeinternational money app

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

MxToolBox - All of your MX record, DNS, blacklist and SMTP diagnostics in one integrated tool.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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