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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. AWS Lambda vs Laravel Vapor

AWS Lambda vs Laravel Vapor

OverviewDecisionsComparisonAlternatives

Overview

AWS Lambda
AWS Lambda
Stacks26.0K
Followers18.8K
Votes432
Laravel Vapor
Laravel Vapor
Stacks45
Followers48
Votes0

AWS Lambda vs Laravel Vapor: What are the differences?

Introduction: In the realm of serverless computing, AWS Lambda and Laravel Vapor provide different solutions for deploying and managing applications. Here, we will delve into the key differences between AWS Lambda and Laravel Vapor to understand their distinct features and functionalities.

  1. Infrastructure Management: One of the key differences between AWS Lambda and Laravel Vapor is how they handle infrastructure management. AWS Lambda requires users to set up and manage infrastructure manually, configure networking, set up security groups, etc. On the other hand, Laravel Vapor abstracts away the complexities of infrastructure management by providing a serverless deployment platform that automatically scales and manages underlying infrastructure.

  2. Programming Language Support: AWS Lambda supports multiple programming languages like Node.js, Python, Java, and more. In contrast, Laravel Vapor is more focused on supporting PHP and Laravel applications. This difference in programming language support can influence the choice between the two platforms based on the technology stack of the application being deployed.

  3. Billing Structure: AWS Lambda follows a pay-as-you-go pricing model where users are charged based on the number of requests and compute time consumed. In comparison, Laravel Vapor offers a flat monthly pricing structure based on the number of serverless deployments, which can be advantageous for budgeting and cost management purposes.

  4. Scaling and Concurrency: AWS Lambda scales automatically based on incoming traffic and can handle concurrent execution of multiple functions. Laravel Vapor, being built on AWS infrastructure, inherits this scalability feature but adds Laravel-specific optimizations for handling concurrent requests efficiently, making it a suitable choice for high-traffic applications.

  5. Vendor Lock-in: While both AWS Lambda and Laravel Vapor run on AWS infrastructure, Laravel Vapor abstracts away many AWS-specific details and provides a higher level of abstraction. This can lead to a higher level of vendor lock-in with Laravel Vapor compared to AWS Lambda, where users have more flexibility in terms of portability to other cloud providers.

  6. Deployment Process: AWS Lambda deployments involve configuring functions, setting up triggers, and managing versions manually through the AWS Management Console or CLI. In contrast, Laravel Vapor streamlines the deployment process by providing a simple CLI tool that integrates with Git repositories for easy automated deployments, reducing the complexity and time required for deploying applications.

In Summary, understanding the key differences between AWS Lambda and Laravel Vapor can help in making an informed decision on choosing the right serverless deployment platform for your applications.

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Advice on AWS Lambda, Laravel Vapor

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

Detailed Comparison

AWS Lambda
AWS Lambda
Laravel Vapor
Laravel Vapor

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.

It is an auto-scaling, serverless deployment platform for Laravel, powered by AWS Lambda. Manage your Laravel infrastructure on Vapor and fall in love with the scalability and simplicity of serverless.

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
Auto-scaling web / queue infrastructure fine tuned for Laravel; Zero-downtime deployments and rollbacks; Environment variable / secret management; Database management, including point-in-time restores and scaling; Redis Cache management, including cluster scaling; Database and cache tunnels, allowing for easy local inspection; Automatic uploading of assets to Cloudfront CDN during deployment; Unique, Vapor assigned vanity URLs for each environment, allowing immediate inspection; Custom application domains; DNS management; Certificate management and renewal; Application, database, and cache metrics; CI friendly
Statistics
Stacks
26.0K
Stacks
45
Followers
18.8K
Followers
48
Votes
432
Votes
0
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
No community feedback yet
Integrations
No integrations available
Laravel
Laravel

What are some alternatives to AWS Lambda, Laravel Vapor?

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.

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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