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  1. Stackups
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  3. Serverless
  4. Serverless Task Processing
  5. Serverless vs Zeit Now

Serverless vs Zeit Now

OverviewDecisionsComparisonAlternatives

Overview

Serverless
Serverless
Stacks2.2K
Followers1.2K
Votes28
GitHub Stars46.9K
Forks5.7K
Vercel
Vercel
Stacks1.7K
Followers926
Votes86
GitHub Stars0
Forks0

Serverless vs Zeit Now: What are the differences?

Introduction

Serverless computing and Zeit Now are both popular options for deploying and running applications in the cloud. While they have some similarities, there are key differences that set them apart from each other. This article will outline and explain these differences in detail.

  1. Deployment Options: One of the main differences between Serverless and Zeit Now is the deployment options they offer. Serverless is a framework that allows developers to build and deploy applications that run on serverless architecture, such as AWS Lambda or Azure Functions. On the other hand, Zeit Now is a deployment platform that supports various serverless providers, including AWS Lambda, Azure Functions, and Google Cloud Functions. This means that while Serverless limits the deployment to serverless architectures, Zeit Now provides more flexibility by allowing developers to choose from multiple serverless providers.

  2. Pricing Model: Another significant difference is the pricing model of Serverless and Zeit Now. Serverless pricing is typically based on the number of invocations, duration of the function execution, and resources used. This means that developers are billed for the actual usage of their serverless functions. In contrast, Zeit Now follows a simpler pricing model based on the number of deployments and the amount of bandwidth used. This makes Zeit Now more straightforward and easier to estimate the costs.

  3. Ease of Use: Both Serverless and Zeit Now aim to provide an easy and simple way for developers to deploy and manage their applications. However, there are subtle differences in their ease of use. Serverless is feature-rich and offers various tools and plugins that cater to different use cases. It allows developers to define their infrastructure as code and provides built-in support for monitoring, logging, and debugging. Zeit Now, on the other hand, focuses on simplicity and minimal configuration. It provides a seamless deployment experience with just a single command and has built-in support for static websites. This makes Zeit Now an excellent choice for developers who prioritize simplicity and quick deployments.

  4. Community and Ecosystem: Both Serverless and Zeit Now have vibrant communities and an ecosystem of plugins, libraries, and integrations. However, Serverless has a larger and more mature ecosystem due to its early prominence in the serverless space. It has a vast collection of plugins and integrations for various serverless providers and technologies. Zeit Now, being a newer player, has a smaller ecosystem but is rapidly growing and gaining popularity. It has its own set of integrations, including seamless integration with Next.js, a popular React framework. Developers should consider the ecosystem and community support when choosing between Serverless and Zeit Now.

  5. Vendor Lock-in: Vendor lock-in is an important consideration when selecting a deployment platform. Serverless, being a framework, can be used with different serverless providers, which provides some flexibility and decreases vendor lock-in. However, as it relies on specific serverless architectures, there is still some degree of lock-in to those platforms. On the other hand, Zeit Now supports multiple serverless providers, providing more flexibility and reducing the risk of vendor lock-in.

In Summary, Serverless and Zeit Now are both viable options for deploying applications in the cloud. Serverless offers a feature-rich framework specifically designed for serverless architectures, while Zeit Now provides a simpler and more flexible deployment platform that supports multiple serverless providers. The choice between the two largely depends on the specific needs of the project, the desired level of flexibility, and the preference for either a comprehensive feature set or a minimalist deployment experience.

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Advice on Serverless, Vercel

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

Serverless
Serverless
Vercel
Vercel

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.

A cloud platform for serverless deployment. It enables developers to host websites and web services that deploy instantly, scale automatically, and require no supervision, all with minimal configuration.

-
Easy, production-ready deployment with one command; Simple scaling, including auto-scaling; No-Ops; Domains & DNS;
Statistics
GitHub Stars
46.9K
GitHub Stars
0
GitHub Forks
5.7K
GitHub Forks
0
Stacks
2.2K
Stacks
1.7K
Followers
1.2K
Followers
926
Votes
28
Votes
86
Pros & Cons
Pros
  • 14
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 3
    Lower cost
  • 1
    3. Simplified Management for developers to focus on cod
  • 1
    Openwhisk
Pros
  • 23
    Simple deployment
  • 17
    Free tier
  • 13
    Free SSL
  • 12
    Simple setup
  • 8
    Easy custom domain setup
Cons
  • 1
    Pricing Unclear
Integrations
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway
GitLab
GitLab
GitHub
GitHub
Lighthouse
Lighthouse

What are some alternatives to Serverless, Vercel?

GitHub Pages

GitHub Pages

Public webpages hosted directly from your GitHub repository. Just edit, push, and your changes are live.

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.

DomainRacer

DomainRacer

It is a blazing fast hosting solution that provides Customer Satisfaction driven Web Hosting services since 2016.

Netlify

Netlify

Netlify is smart enough to process your site and make sure all assets gets optimized and served with perfect caching-headers from a cookie-less domain. We make sure your HTML is served straight from our CDN edge nodes without any round-trip to our backend servers and are the only ones to give you instant cache invalidation when you push a new deploy. Netlify is also the only static hosting service with integrated continuous deployment.

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.

Surge

Surge

Surge makes it easy for developers to deploy projects to a production-quality CDN through Grunt, Gulp, npm.

Webflow

Webflow

Webflow is a responsive design tool that lets you design, build, and publish websites in an intuitive interface. Clean code included!

Divshot

Divshot

Divshot makes building and hosting front-end web applications simple. Build locally and deploy using a simple command-line interface. Divshot supports multiple environments, pushState routing, atomic deploys, 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

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