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Deploying and Scaling Your First Cloud Application with Amazon Lightsail
The document is a workshop presentation focused on deploying and scaling a Node.js application using Amazon Lightsail, led by developer advocate Mike Coleman. It covers key topics such as launching a monolithic app, scaling components, and utilizing services like load balancers and snapshots. The workshop aims to teach participants about application architectures and practical setup steps for using Amazon Lightsail effectively.
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Deploying and Scaling Your First Cloud Application with Amazon Lightsail
- 1. © 2018, AmazonWeb Services, Inc. or its Affiliates. All rights reserved Amazon Lightsail Workshop Deploying and scaling a Node.js app on Lightsail Mike Coleman, Developer Advocate @mikegcoleman mikegcol@amazon.com
- 2. Who am I •DeveloperAdvocate for Amazon Lightsail •But, I’m not a developer •Based out of Portland, Oregon •Previous: Docker, Puppet (Labs), VMware, Microsoft, Intel, HP(E) •@mikegcoleman (but I tweet about soccer, a lot)
- 3. What you willlearn After today you will be understand how to: • What is Amazon Lightsail • When do you choose Lightsail • Launch a monolithic application on Lightsail • Break out app components • Scale an application using snapshots and a load balancer
- 4. Amazon Lightsail: Cloudmade easy • Bundled compute, storage, networking • Fully configured server • Low, predictable price • Intuitive, global Lightsail console • Easy growth path • Access to AWS services • Tailored API & CLI
- 5. What you needto set up an instance in AWS: Launch VM Attach SSD storage Manage IAM Create Security Groups Manage SSH Keys Go! Under the hood
- 6. Jumpstart or BuildYour Own with Blueprints Preconfigured Applications and Dev Stacks Operating System Only
- 7. When to chooseLightsail? • Small-scale multi-tier apps • Websites • Web apps • Testing environment • Line-of-business software • Large, multi-tier applications (several dozens of instances) • Anything requiring instances that are workload optimized, highly configurable, or resource intensive • E.g., Big data analytics, High performance computing, Scientific computing • Advanced networking
- 8. Common Application Architectures Single-Tier/ Monolithic Multi-Tier Traditional Multi-Tier Cloud-native Image Credit: Bitnami (https://bitnami.com/aws)
- 9. Common Application Architectures Single-Tier/ Monolithic Multi-Tier Traditional Multi-Tier Cloud-native Image Credit: Bitnami (https://bitnami.com/aws) Today’s Focus
- 10. Node / ExpressWeb Front End MongoDB back end Phase 1: • Deploy monolithic app into Lightsail MEAN blueprint Phase 2: • Separate front end from Database • Scale front end • Deploy a Lightsail load balancer The Application: Simple Todo List
- 11. Lightsail MEAN blueprint •MEAN – Mongo, Express, Angular, Node • Preconfigured Bitnami image includes • MongoDB • Node.JS • Express • AngularJS • Apache • Git • PHP • RockMongo
- 12. Getting our ApplicationRunning • Create Lightsail instance • Disable Apache • Create user account in Mongo • Clone Github repo • Configure application environment variables • Run the app
- 13. Application Architecture –Version 1 Node / Express Application MongoDB (mongodb://localhost:27017) Single Lightsail Instance http traffic Customer
- 14.
- 15. Refining our application Potentialissues: • Single point of failure • Responding to increasing demand • Database / web front end tied closely together Solution: • Separate database / web front end • Created multiple front end instances • Add a Lightsail load balancer
- 16. Application Architecture –Version 1 Node App MongoDB Single Lightsail Instance http Customer
- 17. What you willdo •Deploy two instances •Installed and configure Mongo in one instance •Installed and configure application code in the other
- 18. Application Architecture –Version 2a Node App http MongoDB Customer
- 19. Scaling the frontend with snapshots •Front end is stateless •Create Lightsail snapshot •Deploy multiple instances from snapshot •Create Lightsail load balancer •And front-end instances to Load balancer
- 20. Lightsail load balancers •SimplifiedAmazon load balancer implementation •Set up in a few clicks •Handles http / https traffic •Balances across ports 80 and 443
- 21. Application Architecture –Version 2b Node App http Customer MongoDBLoadBalancer Node App Node App
- 22.