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Phase 1: Bridge Export to Google Cloud Instead of Synapse (18 story points, 2.6 dev weeks)
Phase 2: Bridge Running on Google Cloud Instead of AWS (38 story points, 7.6 dev weeks)
Phase 3: Bridge Stores Data in Google Cloud Instead of AWS (Stretch Goal) (69 story points, 13.8 dev weeks)
Estimates assume a velocity of 5 story points per dev week.
Phase 1: Bridge Export to Google Cloud Instead of Synapse
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- Refactor SynapseHelper to be a generic Export Adapter with pluggable implementations for Synapse and Google Cloud (5 story points)
- Define Google Cloud storage format (1 story points)
- Define Google Cloud permissions model (1 story points)
- Implement Google Cloud Export Adapter (5 story points)
- Define and implement Bridge Study config to select between Synapse and Google Cloud (3 story points)
- Implement selector in Exporter to select between Synapse and Google Cloud (3 story points)
Total: 18 story points (2.6 dev weeks)
Phase 2: Bridge Running on Google Cloud Instead of AWS
Total: 38 story points (7.6 dev weeks)
Phase 2A: Bridge Server on Google Cloud
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- Launch Spring MVC Service on Google Cloud (8 story points)
- Set up DNS and SSL (2 story points)
- Set up secure credentials (1 story point)
- Log aggregation (1 story point)
- Dashboards, monitoring, and alarms (1 story point)
- Grant access to AWS Elasticache and RDS from Google Cloud OR partition and create a Redis and SQL instance in Google Cloud (3 story points)
Total: 16 story points (3.2 dev weeks)
Phase 2B: Bridge Exporter on Google Cloud
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- Launch Spring Boot Worker on Google Cloud (8 story points)
- Set up secure credentials (1 story point)
- Log aggregation (1 story point)
- Dashboards, monitoring, and alarms (1 story point)
Total: 11 story points (2.2 dev weeks)
Phase 2C: Bridge Worker on Google Cloud
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- Launch Spring Boot Worker on Google Cloud (8 story points)
- Set up secure credentials (1 story point)
- Log aggregation (1 story point)
- Dashboards, monitoring, and alarms (1 story point)
Total: 11 story points (2.2 dev weeks)
Phase 3: Bridge Stores Data in Google Cloud Instead of AWS (Stretch Goal)
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- DynamoDB → BigTable? Firestore? (53 story points)
- Lambda (Cron scheduler) → Cloud Scheduler (3 story points)
- RDS (MySQL) → Cloud SQL (1 story point)
- S3 → Cloud Storage (5 story points)
- S3 Presigned URLs → Cloud Storage Signed URLs (3 story points)
- S3 Public Webhosting → Cloud Storage? (1 story points)
- SES (Simple Email Service) → NO EQUIVALENT
- SNS Push Notifications → Firebase Cloud Message MAY REQUIRE CLIENT APP CHANGES
- SNS SMS → NO EQUIVALENT
- SQS → PubSub (3 story points)
Total: 69 story points (13.8 dev weeks)
DynamoDB Migration
Subtasks (53 story points)
- Bridge Server (40 story points)
- 25 object/dao pairs (+ 2 survey element classes) (30 story points)
- DynamoInitializer or equivalent TODO(3 story points)
- 9 data type marshallers (5 story points)
- 3 backfill classes, to be ported or removed (2 story points)
- Exporter accesses the following tables directly (5 story points)
- ExportTime
- HealthDataAttachment
- HealthDataRecord
- Study
- SynapseMetaTables
- SynapseTables
- Worker accesses the following tables directly (5 story points)
- FitBitTables
- NotificationConfig
- NotificationLog
- Study
- SynapseSurveyTables
- SynapseTables
- UploadSchema
- WorkerLog
- Master Scheduler (3 story points)
- Config
- Status
Note: Spring Migration required us to migrate ~56 classes, which took about 3 weeks (15 days), which suggests a velocity of ~3.75 classes per day. However, these were mostly trivial copy-pastes with minimal transformation. Re-writing all the DynamoDB classes would be signficantly more work. We'll base our estimates around 1.8 classes per day.