Building Open-Source Cloud-Native Apps in JavaScript
summary
Case study of a JavaScript cloud-native app that ingests imagery, builds training data and runs on AWS Lambda with a serverless pipeline, S3 tiles delivered via byte-range S3 tile requests, SQS queues, Docker-wrapped Python "science" code and a Gatsby React front end using Leaflet. Cites scale: ~80 TB/day and ~100 PB stores from satellite vendors. Shows a working open-source dashboard (headlamp) for disaster response, explains CDK-driven infra as code, permission-granularity for security and cost tradeoffs with concrete components.
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chapters (38)
- 0:00Intro
- 0:41Open Source Projects
- 1:14Personal Experiences
- 2:41Data Breaches
- 3:24Cost of Security
- 4:02Serverless Software
- 5:03Affordability
- 5:13Landsat
- 5:35Digital Globe
- 6:00Processing Pipeline
- 7:11Google Maps
- 7:38React
- 7:59Multiple Layers
- 8:33Mapping Data
- 10:16Constraints
- 10:27AWS
- 10:55Networking in AWS
- 12:41Pillar 1 Stability
- 12:59Application Architecture
- 13:47Gatsby
- 14:22Microservice
- 15:23Switching API
- 15:35Map Image
- 15:48Image Size
- 16:09Tile Providers
- 17:03DevOps
- 17:55Security
- 18:31Robustness
- 20:28Lambdas
- 21:28Lambdas in AWS
- 23:39Headlamp
- 25:21Science Code
- 26:30Science Code Examples
- 26:45Ground Control Points
- 27:15Queues
- 28:39Scrum estimation
- 29:35Satellite imagery
- 31:23Challenges
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