Amazon CloudFront logo
Content delivery with low latency and high data transfer speeds

What is Amazon CloudFront?

Amazon CloudFront can be used to deliver your entire website, including dynamic, static, streaming, and interactive content using a global network of edge locations. Requests for your content are automatically routed to the nearest edge location, so content is delivered with the best possible performance.
Amazon CloudFront is a tool in the Content Delivery Network category of a tech stack.

Who uses Amazon CloudFront?

Companies
3356 companies use Amazon CloudFront in their tech stacks, including Airbnb, Spotify, and Dropbox.

Developers
595 developers use Amazon CloudFront.

Amazon CloudFront Integrations

Gatsby, Buddy, Filestack, Twill, and Cloudcraft are some of the popular tools that integrate with Amazon CloudFront. Here's a list of all 19 tools that integrate with Amazon CloudFront.

Why developers like Amazon CloudFront?

Here’s a list of reasons why companies and developers use Amazon CloudFront
Amazon CloudFront Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon CloudFront in their tech stack.

Julien DeFrance
Julien DeFrance
Full Stack Engineering Manager at ValiMail · | 16 upvotes · 63.1K views
atSmartZip
Amazon DynamoDB
Ruby
Node.js
AWS Lambda
New Relic
Amazon Elasticsearch Service
Elasticsearch
Superset
Amazon Quicksight
Amazon Redshift
Zapier
Segment
Amazon CloudFront
Memcached
Amazon ElastiCache
Amazon RDS for Aurora
MySQL
Amazon RDS
Amazon S3
Docker
Capistrano
AWS Elastic Beanstalk
Rails API
Rails
Algolia

Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

Future improvements / technology decisions included:

Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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Tim Specht
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 13 upvotes · 1.9K views
atDubsmash
Amazon CloudFront
Amazon S3
#CloudStorage
#ContentDeliveryNetwork
#AssetsAndMedia

In the early days features like My Dubs, which enable users to upload their Dubs onto our platform, uploads were going directly against our API, which then stored the files in Amazon S3.

We quickly saw that this approach was crumbling our API performance big time. Since users usually have slower internet connections on their phones, the process of uploading the file took up a huge percentage of the processing time on our end, forcing us to spin up way more machines than we actually needed. We since have moved to a multi-way handshake-like upload process that uses signed URLs vendored to the clients upon request so they can upload the files directly to S3. These files are then distributed, cached, and served back to other clients through Amazon CloudFront.

#AssetsAndMedia #ContentDeliveryNetwork #CloudStorage

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Khauth György
Khauth György
CTO at SalesAutopilot Kft. · | 11 upvotes · 30.5K views
atSalesAutopilot Kft.
AWS CodePipeline
Jenkins
Docker
vuex
Vuetify
Vue.js
jQuery UI
Redis
MongoDB
MySQL
Amazon Route 53
Amazon CloudFront
Amazon SNS
Amazon CloudWatch
GitHub

I'm the CTO of a marketing automation SaaS. Because of the continuously increasing load we moved to the AWSCloud. We are using more and more features of AWS: Amazon CloudWatch, Amazon SNS, Amazon CloudFront, Amazon Route 53 and so on.

Our main Database is MySQL but for the hundreds of GB document data we use MongoDB more and more. We started to use Redis for cache and other time sensitive operations.

On the front-end we use jQuery UI + Smarty but now we refactor our app to use Vue.js with Vuetify. Because our app is relatively complex we need to use vuex as well.

On the development side we use GitHub as our main repo, Docker for local and server environment and Jenkins and AWS CodePipeline for Continuous Integration.

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Russel Werner
Russel Werner
Lead Engineer at StackShare · | 10 upvotes · 110K views
atStackShare
Redis
CircleCI
Webpack
Amazon CloudFront
Amazon S3
GitHub
Heroku
Rails
Node.js
Apollo
Glamorous
React
#FrontEndRepoSplit
#Microservices
#SSR
#StackDecisionsLaunch

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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Johnny Bell
Johnny Bell
Sr. Software Engineer at StackShare · | 9 upvotes · 16.6K views
Code Climate
CloudFlare
Amazon CloudFront
Buddy
Amazon S3
Netlify
GitHub
#Gzip
#Git
#Webpack
#Devops

When I first built my portfolio I used GitHub for the source control and deployed directly to Netlify on a push to master. This was a perfect setup, I didn't need any knowledge about #DevOps or anything, it was all just done for me.

One of the issues I had with Netlify was I wanted to gzip my JavaScript files, I had this setup in my #Webpack file, however Netlify didn't offer an easy way to set this.

Over the weekend I decided I wanted to know more about how #DevOps worked so I decided to switch from Netlify to Amazon S3. Instead of creating any #Git Webhooks I decided to use Buddy for my pipeline and to run commands. Buddy is a fantastic tool, very easy to setup builds, copying the files to my Amazon S3 bucket, then running some #AWS console commands to set the content-encoding of the JavaScript files. - Buddy is also free if you only have a few pipelines, so I didn't need to pay anything 🤙🏻.

When I made these changes I also wanted to monitor my code, and make sure I was keeping up with the best practices so I implemented Code Climate to look over my code and tell me where there code smells, issues, and other issues I've been super happy with it so far, on the free tier so its also free.

I did plan on using Amazon CloudFront for my SSL and cacheing, however it was overly complex to setup and it costs money. So I decided to go with the free tier of CloudFlare and it is amazing, best choice I've made for caching / SSL in a long time.

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Johnny Bell
Johnny Bell
Sr. Software Engineer at StackShare · | 8 upvotes · 9.6K views
CloudFlare
Amazon CloudFront
Amazon S3

I recently moved my portfolio to Amazon S3 and I needed a new way to cache and SSL my site as Amazon S3 does not come with this right out of the box. I tried Amazon CloudFront as I was already on Amazon S3 I thought this would be super easy and straight forward to setup... It was not, I was unable to get this working even though I followed all the online steps and even reached out for help to Amazon.

I'd used CloudFlare in the past, and thought let me see if I can set up CloudFlare on an Amazon S3 bucket. The setup for this was so basic and easy... I had it setup with caching and SSL within 5 minutes, and it was 100% free.

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Amazon CloudFront's features

  • Fast- Using a network of edge locations around the world, Amazon CloudFront caches copies of your static content close to viewers, lowering latency when they download your objects and giving you the high, sustained data transfer rates needed to deliver large popular objects to end users at scale.
  • Simple- A single API call lets you get started distributing content from your Amazon S3 bucket or Amazon EC2 instance or other origin server through the Amazon CloudFront network.
  • Designed for use with other Amazon Web Services Amazon CloudFront is designed for use with other Amazon Web Services, including Amazon S3, where you can durably store the definitive versions of your static files, and Amazon EC2, where you can run your application server for dynamically generated content.
  • Cost-Effective- Amazon CloudFront passes on the benefits of Amazon’s scale to you. You pay only for the content that you deliver through the network, without minimum commitments or up-front fees.
  • Elastic- With Amazon CloudFront, you don’t need to worry about maintaining expensive web-server capacity to meet the demand from potential traffic spikes for your content. The service automatically responds as demand increases or decreases without any intervention from you.
  • Reliable- Amazon CloudFront is built using Amazon’s highly reliable infrastructure. The distributed nature of edge locations used by Amazon CloudFront automatically routes end users to the closest available location as required by network conditions.
  • Global- Amazon CloudFront uses a global network of edge locations, located near your end users in the United States, Europe, Asia, and South America.

Amazon CloudFront Alternatives & Comparisons

What are some alternatives to Amazon CloudFront?
Akamai
If you've ever shopped online, downloaded music, watched a web video or connected to work remotely, you've probably used Akamai's cloud platform. Akamai helps businesses connect the hyperconnected, empowering them to transform and reinvent their business online. We remove the complexities of technology, so you can focus on driving your business faster forward.
CloudFlare
Cloudflare speeds up and protects millions of websites, APIs, SaaS services, and other properties connected to the Internet.
Google Cloud Storage
Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
Fastly
Fastly's real-time content delivery network gives you total control over your content, unprecedented access to performance analytics, and the ability to instantly update content in 150 milliseconds.
MaxCDN
The MaxCDN Content Delivery Network efficiently delivers your site’s static file through hundreds of servers instead of slogging through a single host. This "smart route" technology distributes your content to your visitors via the city closest to them.
See all alternatives

Amazon CloudFront's Stats

- No public GitHub repository available -