CRDTs and Eventual Consistency Anti-Patterns on AWS
Quick summary: Last-write-wins is not a CRDT—it is how Global Tables lose cart merges. When to use counters, OR-Sets, and conflict-free merges vs when to keep a single Aurora writer.
Key Takeaways
- June 2026: Multi-Region active-active without a merge strategy is how eventual consistency anti-patterns ship—users see flickering state, not “high availability
- Anti-patterns 1
- RWM on same record across Regions without merge → lost updates 2
- Cache-aside as source of truth across Regions 3
- On AWS, implement in app layer or use services with documented merge (DynamoDB counters are not full CRDTs)
Table of Contents
June 2026: Multi-Region active-active without a merge strategy is how eventual consistency anti-patterns ship—users see flickering state, not “high availability.”
Anti-patterns
- RWM on same record across Regions without merge → lost updates
- Cache-aside as source of truth across Regions
- SQS at-least-once without idempotent handlers (looks like consistency bug)
CRDTs (when they help)
Conflict-free replicated data types (counters, OR-Sets, LWW-Element-Set with care) suit collaboration and device sync. On AWS, implement in app layer or use services with documented merge (DynamoDB counters are not full CRDTs).
Opinionated take: Prefer single-writer Aurora Global for financial aggregates; use CRDT-style merges only when product accepts semantic merge rules in writing.
AWS map
| Pattern | Service |
|---|---|
| Active-active items | DynamoDB Global Tables + version attribute |
| Session sync | ElastiCache + sticky + short TTL |
| Ordered workflow | SQS FIFO + dedup |
What to do this week
- Document merge function for each Global Table entity.
- Add integration test simulating concurrent cross-Region writes.
- Metric: conflict resolution count per hour.
What this guide doesn’t cover
Distributed locks—next guide in track.
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