๐Ÿ“šAWS 1x1 - ๐—–๐—น๐—ผ๐˜‚๐—ฑ๐—™๐—ฟ๐—ผ๐—ป๐˜

A low latency and high transfer speed content delivery network.

What does it offer? โ†“
๐—ง๐—ต๐—ฟ๐—ฒ๐—ฎ๐—ฑ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿงต

โ€ข Introduction
โ€ข Distributions
โ€ข Origins
โ€ข Edge Behaviors
โ€ข Geo-Restrictions
โ€ข Edge Computing
โ€ข Pricing & Free Tier

{ 1/14 }
๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป

CloudFront is a ๐—–ontent ๐——elivery ๐—กetwork: a globally distributed set of caching servers that can store content returned by your origin servers that enable fast & low latency requests to your content around the globe.

{ 2/14 }
Citing AWS' blog for Prime Days 2021, CloudFront "handled a peak load of over ๐Ÿฎ๐Ÿต๐Ÿฌ ๐—บ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—›๐—ง๐—ง๐—ฃ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐˜€ ๐—ฝ๐—ฒ๐—ฟ ๐—บ๐—ถ๐—ป๐˜‚๐˜๐—ฒ, for a total of over ๐Ÿฒ๐Ÿฌ๐Ÿฌ ๐—ฏ๐—ถ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—›๐—ง๐—ง๐—ฃ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐˜€" ๐Ÿ”ฅ

aws.amazon.com/blogs/aws/primโ€ฆ

{ 3/14 }
๐——๐—ถ๐˜€๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ถ๐—ผ๐—ป๐˜€

A distribution is an actual instantiation of CloudFront. It's where you define all your settings, including the origins from where CloudFront can fetch the content if it's not yet stored in its edge locations.

{ 4/14 }
๐—ข๐—ฟ๐—ถ๐—ด๐—ถ๐—ป๐˜€

An origin for your content can be basically anything that is able to serve content via HTTP. If looking at AWS native services, S3 is a common choice to store content and distribute it via CloudFront.

{ 5/14 }
You can specify a ๐—ขrigin ๐—”ccess ๐—œdentity (OAI) and add a policy to your S3 bucket so only this CloudFront distribution is able to retrieve content from this bucket.

{ 6/14 }
๐—˜๐—ฑ๐—ด๐—ฒ ๐—•๐—ฒ๐—ต๐—ฎ๐˜ƒ๐—ถ๐—ผ๐—ฟ๐˜€

With CloudFront, you can customize how it will handle your requests. Define desired behaviors for:

โ€ข how caching is done
โ€ข which headers and metadata is forwarded to the origin
โ€ข which compression should be used

and much more.

{ 7/14 }
๐—š๐—ฒ๐—ผ ๐—ฅ๐—ฒ๐˜€๐˜๐—ฟ๐—ถ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€

As CloudFront is able to detect the request's origin, you can add geo-restriction rules which prevent users from specific geographic locations from accessing content.

{ 8/14 }
๐—Ÿ๐—ฎ๐—บ๐—ฏ๐—ฑ๐—ฎ@๐—˜๐—ฑ๐—ด๐—ฒ

Run general-purpose code on regional edge locations around the world.

It's possible to
โ€ข do third party calls via HTTP
โ€ข invoke other AWS services like DynamoDB or S3
โ€ข integrations with 3rd party authorization providers

{ 9/14 }
There are four different occasions for which you can attach a Lambda@Edge function:

โ€ข Viewer Request & Response - invoked at the start/end of all requests
โ€ข Origin Request & Response - only when CloudFront does request the origin or retrieves a response

{ 10/14 }
๐—–๐—น๐—ผ๐˜‚๐—ฑ๐—™๐—ฟ๐—ผ๐—ป๐˜ ๐—™๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€

The lightweight version of Lambda@Edge with fewer capabilities, but even better latency and way (1/6th of Lambda@Edge) cheaper.

Example use-cases:
โ€ข access control and authorization
โ€ข HTTP redirects
โ€ข cache manipulation

{ 11/14 }
From a location perspective, both function types are very different.

Your Lambda@Edge function will be executed in one of AWS' ๐Ÿญ๐Ÿฏ ๐—ฟ๐—ฒ๐—ด๐—ถ๐—ผ๐—ป๐—ฎ๐—น edge caches.
Your CloudFront function on the other hand can run at more than ๐Ÿฎ๐Ÿญ๐Ÿด ๐—ฒ๐—ฑ๐—ด๐—ฒ ๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€!

{ 12/14 }
More technical differences between CloudFront functions & Lambda@Edge:

โ€ข Runtimes: JS | JS/Python
โ€ข Max Exec Time: 1ms | 5s (Viewer) & 30s (Origin Triggers)
โ€ข Max Memory: 2MB | 128MB (Viewer) & 10GB (Origin Triggers)
โ€ข Network Access: โŒ | โœ…

{ 13/14 }
๐—ฃ๐—ฟ๐—ถ๐—ฐ๐—ถ๐—ป๐—ด & ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ง๐—ถ๐—ฒ๐—ฟ

If you're using AWS native services for your origins, you're not paying additional fees for the data transfer between those services and CloudFront.

Additionally, AWS grants 50GB/month outgoing traffic at its first-year free tier.

{ 14/14 }
That's it for the small introduction to CloudFront - thank you for reading!

Share the initial post if you've enjoyed this thread & follow me for more regular cloud content ๐ŸŒค โœ๏ธ

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More from @tpschmidt_

11 Nov
Building an event-driven, reliable serverless application is a difficult task ๐Ÿ‘จโ€๐Ÿ’ป

What's also challenging: monitoring your ever-growing ecosystem of functions ฦ›

My ๐˜‚๐—น๐˜๐—ถ๐—บ๐—ฎ๐˜๐—ฒ ๐—ด๐˜‚๐—ถ๐—ฑ๐—ฒ ๐˜๐—ผ ๐—บ๐—ผ๐—ป๐—ถ๐˜๐—ผ๐—ฟ๐—ถ๐—ป๐—ด ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ๐—น๐—ฒ๐˜€๐˜€ ๐—ฎ๐—ฝ๐—ฝ๐˜€
โ†“
๐—ง๐—ต๐—ฟ๐—ฒ๐—ฎ๐—ฑ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿงต

โ€ข Problem Statement
โ€ข What to Monitor?
โ€ข Performance Monitoring
โ€ข Costs & Usage
โ€ข Monitoring Tools
โ€ข Benefits of Serverless Monitoring

{ 1/28 }
Serverless architectures bring us a lot of known benefits:
โ€ข less operation overhead
โ€ข only paying for actually used resources
โ€ข reduced cycle times due to small, often independent deployment units
โ€ข instant scaling

... and much more.

{ 2/28 }
Read 30 tweets
9 Nov
๐Ÿ“š AWS 1x1 - ๐—˜๐—–๐—ฆ

Easily run, stop, and manage containers in the cloud.

All you need to know about tasks, task definitions, clusters & containers โ†“
๐—ง๐—ต๐—ฟ๐—ฒ๐—ฎ๐—ฑ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐˜„ ๐Ÿงต

โ€ข About Docker
โ€ข Fundamentals
โ€ข Task Definitions
โ€ข Tasks
โ€ข Services
โ€ข Clusters
โ€ข Container Instances vs. Fargate

{ 1/17 }
๐——๐—ผ๐—ฐ๐—ธ๐—ฒ๐—ฟ

Before getting started with ECS, you need to understand Docker, because it's one of the basic building blocks.

Docker helps to create environments to run your application, regardless of the underlying operating system.

{ 2/17 }
Read 19 tweets
5 Nov
๐Ÿ“š AWS 1x1 - ๐—ฉ๐—ฃ๐—– & ๐—ก๐—ฒ๐˜๐˜„๐—ผ๐—ฟ๐—ธ๐—ถ๐—ป๐—ด

Your logically isolated virtual network in the cloud.

From Security Groups, over Route Tables to VPC Peering โ†“
๐—ง๐—ต๐—ฟ๐—ฒ๐—ฎ๐—ฑ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿงต

โ€ข VPCs & Subnets
โ€ข Route Tables
โ€ข Internet Gateway
โ€ข NAT Gateways & Instances
โ€ข Security Groups
โ€ข Network Access Control Lists
โ€ข VPC Peering

{ 1/14 }
Maybe you didn't know, but Amazon ๐—ฉirtual ๐—ฃrivate ๐—กetwork is the networking layer for EC2.

This virtual network imitates your local data center, but with all the benefits of the cloud's scalable infrastructure.

Knowing about VPC & networking is crucial.

{ 2/14 }
Read 16 tweets
4 Nov
๐Ÿ“š AWS 1x1 - ๐— ๐—ผ๐—ป๐—ถ๐˜๐—ผ๐—ฟ๐—ถ๐—ป๐—ด & ๐—”๐˜‚๐—ฑ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—Ÿ๐—ฎ๐—บ๐—ฏ๐—ฑ๐—ฎ

There's a lot that comes out of the box to gain insights into how well your serverless app is performing

A quick overview to get you started โ†“
1๏ธโƒฃ Amazon CloudWatch

CloudWatch automatically monitors your functions on your behalf. It reports a lot of useful metrics:

โ€ข number of invocations
โ€ข execution durations
โ€ข occurred errors
โ€ข function throttles

Everything is exposed on a function level!
2๏ธโƒฃ Amazon CloudTrail

CloudTrail offers you governance, compliance & auditing features for several services, including Lambda.
It enables you to log all (encryption supported!) actions taken regarding your infrastructure, regardless if it's via the console UI or AWS SDK!
Read 6 tweets
3 Nov
๐Ÿ“š ๐—”๐—ช๐—ฆ ๐Ÿญ๐˜…๐Ÿญ - ๐—ฆ๐—ค๐—ฆ

Your fully managed message queue service & a serverless fan's best friend.

From queue types, over visibility timeouts to message groups โ†“
๐—ง๐—ต๐—ฟ๐—ฒ๐—ฎ๐—ฑ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐Ÿงต

โ€ข Introduction
โ€ข Importance of Messaging Systems
โ€ข Fundamentals
โ€ข Queue Types
โ€ข Visibility Timeouts
โ€ข Retention Periods
โ€ข Limitations

{ 1/22 }
๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป

Believe it or not: SQS was the ๐—ณ๐—ถ๐—ฟ๐˜€๐˜ publicly launched service by AWS!

Quoting Jeff Bar:
"We launched the Simple Queue Service in ๐—น๐—ฎ๐˜๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฐ, Amazon S3 in early 2006, and Amazon EC2 later that summer."

jeff-barr.com/2014/08/19/my-โ€ฆ

{ 2/22 }
Read 24 tweets
2 Nov
Thanks for all your interest in my AWS 1x1 threads! ๐Ÿ“š ๐Ÿ‘‹

The good news: ๐˜๐—ต๐—ฒ๐—ฟ๐—ฒ'๐˜€ ๐—ฎ ๐—น๐—ผ๐˜ ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฝ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ!
... also for Azure ๐Ÿ’™

Didn't see the previous ones yet?
๐—Ÿ๐—ถ๐—ป๐—ธ๐˜€ ๐˜๐—ผ ๐—ฎ๐—น๐—น ๐—บ๐˜† ๐—ฟ๐—ฒ๐—ฐ๐—ฒ๐—ป๐˜ ๐—ฝ๐—ผ๐˜€๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฏ๐—ฒ๐—น๐—ผ๐˜„ โ†“
1๏ธโƒฃ ๐—›๐—ผ๐˜„ ๐˜๐—ผ ๐—ด๐—ฒ๐˜ ๐˜€๐˜๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฑ ๐˜„๐—ถ๐˜๐—ต ๐—”๐—ช๐—ฆ

2๏ธโƒฃ ๐—ก๐—ผ๐˜ ๐—ณ๐—ฒ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—–๐—ผ๐˜€๐˜๐˜€ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ

Read 7 tweets

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