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Google App Engine VS AWS CodePipeline

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.

AWS CodePipeline logo AWS CodePipeline

Continuous delivery service for fast and reliable application updates
  • Google App Engine Landing page
    Landing page //
    2023-10-17
  • AWS CodePipeline Landing page
    Landing page //
    2023-03-25

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.

AWS CodePipeline features and specs

  • Integration with AWS Services
    AWS CodePipeline seamlessly integrates with other AWS services like CodeCommit, CodeBuild, and CodeDeploy, enabling a smooth and coordinated CI/CD process.
  • Scalability
    AWS CodePipeline automatically scales with your development workflows, offering the scalability needed to handle varying workloads without manual intervention.
  • Automated Workflow
    CodePipeline allows for the creation of automated, repeatable workflows for building, testing, and deploying code, which reduces human error and increases efficiency.
  • Pay-As-You-Go Pricing
    The pricing model is pay-as-you-go, so you only pay for what you use, making it cost-effective for businesses of all sizes.
  • Built-In Security
    AWS CodePipeline offers built-in security features such as AWS Identity and Access Management (IAM) roles, ensuring that your CI/CD process adheres to best security practices.

Possible disadvantages of AWS CodePipeline

  • Learning Curve
    For those who are not familiar with AWS services, there can be a considerable learning curve to effectively utilize AWS CodePipeline.
  • Limited Customization
    While the service covers many use cases, it may offer limited customization options for highly specific or complex CI/CD workflows compared to other third-party tools.
  • Service Dependency
    Heavily relying on AWS CodePipeline ties your deployment pipeline to AWS, which can be limiting if you plan to use multi-cloud environments.
  • Latency Issues
    Latency can occur when connecting with external repositories or third-party tools, impacting the speed of the deployment pipeline.
  • Costs for High Usage
    While the pay-as-you-go model is cost-effective for many use cases, high-frequency usage can lead to significant costs over time, especially for large-scale enterprises.

Google App Engine videos

+ Add

Get to know Google App Engine

More videos:

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

AWS CodePipeline videos

+ Add

AWS CodePipeline tutorial | Build a CI/CD Pipeline on AWS

More videos:

  • Review - Introduction to AWS CodePipeline - Continuous Delivery on Amazon Web Services
  • Review - AWS CodePipeline | AWS CodeDeploy | AWS CodeBuild | CodeCommit | Deploy WebApp a Hands on Lab
  • Review - Streamline Your Software Release Process Using AWS CodePipeline

Category Popularity

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

Google App Engine

AWS CodePipeline

Cloud Computing
100 100%
Cloud Computing
0% 0
Continuous Integration
0 0%
Continuous Integration
100% 100
Cloud Hosting
100 100%
Cloud Hosting
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100

User comments

Share your experience with using Google App Engine and AWS CodePipeline. For example, how are they different and which one is better?
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Reviews

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

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

AWS CodePipeline Reviews

The Best Alternatives to Jenkins for Developers
AWS CodePipeline is a continuous integration and continuous delivery service that easily and quickly automates your release pipelines for updates. Every time you change the code, AWS CodePipeline will build, test, and deploy your application. Also, it can be easily integrated with GitHub.
Source: www.lambdatest.com

Social recommendations and mentions

Google App Engine might be a bit more popular than AWS CodePipeline. We know about 31 links to it since March 2021 and only 29 links to AWS CodePipeline. 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.

Google App Engine mentions (31)

  • 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 / 4 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 / 6 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 / 7 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 / 10 months ago
  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 10 months ago
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AWS CodePipeline mentions (29)

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What are some alternatives?

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

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.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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.

Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.

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