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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. AWS Lambda vs Cloud Functions for Firebase vs Google Cloud Functions

AWS Lambda vs Cloud Functions for Firebase vs Google Cloud Functions

OverviewDecisionsComparisonAlternatives

Overview

AWS Lambda
AWS Lambda
Stacks26.0K
Followers18.8K
Votes432
Google Cloud Functions
Google Cloud Functions
Stacks479
Followers479
Votes25
Cloud Functions for Firebase
Cloud Functions for Firebase
Stacks470
Followers397
Votes6

AWS Lambda vs Cloud Functions for Firebase vs Google Cloud Functions: What are the differences?

< AWS Lambda and Cloud Functions for Firebase and Google Cloud Functions are serverless compute services that allow developers to run code without provisioning or managing servers. These services support multiple programming languages and automatically scale based on demand.>

  1. Deployment Options: AWS Lambda allows deployment of functions through the AWS Management Console, AWS CLI, or SDKs, while Cloud Functions for Firebase and Google Cloud Functions offer deployment solely through the Firebase CLI or the Google Cloud Console. This difference in deployment options may impact developers' preferred workflow and tools.

  2. Pricing Model: AWS Lambda follows a pay-per-use model where you are billed based on the number of requests and the compute time required to run your functions. In contrast, Cloud Functions for Firebase and Google Cloud Functions also adopt a pay-as-you-go model based on the number of invocations and the resources consumed, but they include a free tier that provides a certain level of usage at no cost.

  3. Supported Integrations: AWS Lambda integrates seamlessly with other AWS services, providing a wide range of possibilities for building serverless applications within the AWS ecosystem. On the other hand, Cloud Functions for Firebase is tightly integrated with Firebase services, offering enhanced capabilities for mobile and web app development, while Google Cloud Functions offer integration with various Google Cloud services, enabling developers to leverage Google's advanced cloud offerings.

  4. Execution Environment: AWS Lambda runs on AWS's proprietary infrastructure, while Cloud Functions for Firebase and Google Cloud Functions run on Google Cloud Platform, allowing developers to choose based on their familiarity with a particular cloud provider's ecosystem. This difference may affect networking configurations, storage options, and other cloud-specific features available to the developers.

  5. Concurrency Limits: AWS Lambda imposes default concurrency and scalability limits per region, while Cloud Functions for Firebase and Google Cloud Functions provide automatic scaling without predefined concurrency limits. Developers using Google's cloud services may have more flexibility in managing concurrent invocations based on their requirements and usage patterns.

  6. Monitoring and Logging: AWS Lambda offers comprehensive monitoring and logging capabilities through Amazon CloudWatch, providing detailed metrics and insights into function performance. In contrast, Cloud Functions for Firebase and Google Cloud Functions provide logging and monitoring through Stackdriver, Google's monitoring and logging solution, which may offer different metrics and visualization options for tracking function execution and diagnosing issues.

In Summary, key differences between AWS Lambda, Cloud Functions for Firebase, and Google Cloud Functions lie in deployment options, pricing models, supported integrations, execution environments, concurrency limits, and monitoring/logging solutions, catering to different developer preferences and requirements.

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Advice on AWS Lambda, Google Cloud Functions, Cloud Functions for Firebase

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments
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
Mark
Mark

Nov 2, 2020

Needs adviceonMicrosoft AzureMicrosoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k
Comments

Detailed Comparison

AWS Lambda
AWS Lambda
Google Cloud Functions
Google Cloud Functions
Cloud Functions for Firebase
Cloud Functions for Firebase

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.

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

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.

Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model
--
Statistics
Stacks
26.0K
Stacks
479
Stacks
470
Followers
18.8K
Followers
479
Followers
397
Votes
432
Votes
25
Votes
6
Pros & Cons
Pros
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
Cons
  • 7
    Cant execute ruby or go
  • 3
    Compute time limited
  • 1
    Can't execute PHP w/o significant effort
Pros
  • 7
    Serverless Applications
  • 5
    Its not AWS
  • 4
    Simplicity
  • 3
    Free Tiers and Trainging
  • 2
    Simple config with GitLab CI/CD
Cons
  • 1
    Node.js only
  • 0
    Typescript Support
  • 0
    Blaze, pay as you go
Pros
  • 4
    Up and running
  • 1
    Multi-region
  • 1
    Affordable
Integrations
No integrations available
Firebase
Firebase
Google Cloud Storage
Google Cloud Storage
Stackdriver
Stackdriver
Firebase
Firebase
Google Cloud Storage
Google Cloud Storage

What are some alternatives to AWS Lambda, Google Cloud Functions, Cloud Functions for Firebase?

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.

Google Cloud Run

Google Cloud Run

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.

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.

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.

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.

Fission

Fission

Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.

Lambada Framework

Lambada Framework

Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers.

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