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AWS Community Day - Amy Negrette - Gateways to Gateways

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Amy Negrette - Gateways to Gateways: API Development with AWS
We will go over how to plan and migrate legacy APIs with API Gateway options in AWS such as EKS and Lambda. We will also compare a traditional web server API design with a serverless one.

AWS Community Day
aws community day | midwest 2019

Published in: Technology
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AWS Community Day - Amy Negrette - Gateways to Gateways

  1. 1. MIDWEST | CHICAGO
  2. 2. Gateways to Gateways: API Development in the Cloud Amy Arambulo Negrette | Cloudreach | 2019
  3. 3. Who am I? Amy Arambulo Negrette I build a lot of APIs a lot of different ways for a lot of different people.
  4. 4. Let’s talk APIs
  5. 5. What are APIs? “A system of tools and resources in an operating system, enabling developers to create software applications.” What do we mean? The Abstracted Layer that allows communication to application logic and returns a response – OR – the application which traffics the request to the logic. 5
  6. 6. “Serverless computing (or serverless for short), is an execution model where the cloud provider (AWS, Azure, or Google Cloud) is responsible for executing a piece of code by dynamically allocating the resources.” – The Serverless Stack 6
  7. 7. What is Serverless really? An Event Driven Application Design that leverages Cloud Native Services. • Fast • Optimized • Scales • Pay-as-You-Go 7
  8. 8. Decisions, decisions! 8
  9. 9. New Development 9
  10. 10. 10 Containers Containers are like small, streamlined virtual machines. Except where a virtual machine is an entire system, OS and all, a Container will only have an application and its dependencies, using the OS and Kernel of the machine it lives on. For APIs housed in containers, an API, its framework, and a webserver can live in the container, while its required infrastructure, such as a Linux or Windows machine, remain outside. Source: Docker.com | What is a Container?
  11. 11. 11 Containers Pros: Ø Can move from machine to machine Ø No need to upskill API developers* Ø More Runtime Control Cons: Ø High overhead on Container Maintenance Ø One bad container… Source: Docker.com | What is a Container?
  12. 12. 12 Serverless architecture uses Cloud Native services to create an infrastructure that does not need to be managed by the Developer. It most often uses a combination of a Cloud Provided API Gateway and Functions as a Service or Containers. For developing APIs, the Cloud Provider will create a collection of endpoints that connect to a Cloud Compute Service triggered by Events such as HTTP Requests or Event Queues. Serverless
  13. 13. 13 Pros: Ø Lightweight Ø Pay-as-you-go Ø Cloud Native, Cloud Optimized Cons: Ø A very different Programming Paradigm Ø Vendor Lock Ø Developers touch more Infrastructure Serverless
  14. 14. Legacy APIs 14
  15. 15. 15 Lift & Shift Pros: Ø Least Code Changes Ø Fastest to Live Ø No Upskilling Cons: Ø Pay Per Hour Ø Lose Optimization
  16. 16. 16 Modernize Pros: Ø Optimized Ø Future Proof Cons: Ø Slow to Market Ø Requires overhaul of infrastructure and software Ø Language Specific
  17. 17. Why Serverless? 17
  18. 18. 1818
  19. 19. 19 Application Requirements Ø Maintains a database of Unicorns and States Ø Allow Authentication for Users Ø Maintain a database of Users Ø Maintain a history of Actions Ø Allow Users to order Unicorns
  20. 20. 20 Application Diagram
  21. 21. 21 All about the $$$$ This includes no scaling, no auto-patching, and an always-on design.
  22. 22. 22 Serverless Design
  23. 23. 23 ServerLESS $$$ 1,250,000 invocations for less than $1 2,000,000 are less than $4 API Gateway costs $3.50 per million requests for the first 330m Cognito is free for your first 50k maus DynamoDB is $5.33 for 355k reads and 355k writes Amplify costs $.15 per GB served.
  24. 24. 24 Version Control Ø Track All Development & Prevent Loss Ø Infrastructure as Code Ø Deploying Cloud Native Resources using JSON or YAML definitions Ø Native and Framework Definitions can be tracked in Git
  25. 25. 25 Serverless Application Management Ø Native Service for deploying AWS Resources Ø Defined in YAML Ø Can Deploy from the Command Line Ø Deploys to a CloudFormation Stack
  26. 26. 26 Terraform Ø Good at deploying Multi-Cloud Resources, Less good at Serverless Resources Ø Defined in HCL Ø Deploys only from Command Line Ø Does not create CloudFormation Stack Ø Need to repackage the deployment package on every apply
  27. 27. 27 Serverless Framework Ø Good at deploying *most* Cloud Native Services Ø Still need to build some things manually Ø Creates Stack definitions in the Cloud Ø Definitions can be checked into Git
  28. 28. 28 Runtime Control - Layers A function can use up to 5 layers at a time. The total unzipped size of the function and all layers can't exceed the unzipped deployment package size limit of 250 MB
  29. 29. 29 Monitoring – Cloudwatch & X-Ray Ø Not End User Friendly Ø Requires Instrumentation Ø Requires a lot of ‘clicks’ to get there
  30. 30. 30 Monitoring - 3rd Party Tools Ø User Friendly Ø Add as a Layer or Library Ø Easy to Navigate Ø More Visual Context
  31. 31. Ø How to build New APIs Ø How to Migrate Legacy APIs Ø Breaking Apart Monolith Applications Ø The Costs of Monolith vs Serverless 31 Ø Version Control with Infrastructure as Code Ø Controlling Runtimes Ø Monitoring Serverless Resources
  32. 32. Gateways to Gateways: API Development in the Cloud Amy Arambulo Negrette | Cloudreach Linkedin: /in/amycodes Twitter: @nerdypaws 32

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