Architecture

Edge-to-Core Object Aggregation

A one-way replication pattern where data collected at edge S3-compatible storage nodes is continuously replicated to a central S3 data lake for durable storage, analytics, and processing.

4 connections 2 resources

Summary

What it is

A one-way replication pattern where data collected at edge S3-compatible storage nodes is continuously replicated to a central S3 data lake for durable storage, analytics, and processing.

Where it fits

Edge-to-core aggregation is the data flow pattern for IoT, retail, and distributed organizations. Edge nodes provide local write performance and short-term storage; the central S3 lake provides durability, governance, and analytics at scale.

Misconceptions / Traps
  • One-way replication simplifies conflict resolution (no write conflicts) but introduces data loss risk if edge nodes fail before replication completes. Monitor replication lag and edge node health.
  • Bandwidth between edge and core is often constrained. Compression, deduplication, and priority-based replication are important for WAN-limited edge sites.
Key Connections
  • scoped_to Geo / Edge Object Storage — the ingestion pattern for edge-collected data
  • depends_on S3 API — replication uses S3-compatible protocols
  • constrained_by Egress Cost — WAN transfer costs for edge-to-core replication

Definition

What it is

A one-way replication pattern from many edge S3-compatible object stores to a central S3 data lake, consolidating distributed data for centralized analytics and archival.

Why it exists

Edge locations (factories, retail stores, remote offices) generate data that must eventually reach a central data lake for analytics, compliance, and long-term retention. Edge-to-core aggregation automates this flow without requiring real-time connectivity.

Primary use cases

IoT data aggregation, retail point-of-sale data collection, remote office backup to central S3, distributed log aggregation.

Connections 4

Outbound 4

Resources 2