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Database ⇄ E-commerce

AWS Aurora MySQL to Easypost integration — real-time, two-way sync

Keep AWS Aurora MySQL and Easypost in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Easypost

Give your engineers Easypost's products, orders, and customers in AWS Aurora MySQL: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.

Stacksync mirrors Batch, CarrierAccount, Webhook, Shipment from Easypost into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Easypost holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in AWS Aurora MySQL, such as new prices, stock levels, or fulfillment status, sync back into Easypost with its validations respected.

Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.

Common use cases

  • 01 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 02 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 03 Sync CarrierAccount configuration and negotiated rates so shipping options stay consistent across the storefront, ERP, and 3PL systems.
  • 04 Pull Shipment, Rate, and Refund records into a warehouse to report shipping cost per carrier and service and reclaim postage on labels that were never scanned.

Common sync patterns

Read the store's data with a query

Records from Easypost, whether products, orders, customers, or inventory, live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.

React to store changes

Updates in Easypost arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between AWS Aurora MySQL and Easypost

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

AWS Aurora MySQL objects Easypost objects How this pairing syncs
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Rate Carrier service and price options EasyPost generates on a Shipment; read-only - you select a rate id and buy it, you do not create or edit rates directly. Stored procedures and triggers is specific to AWS Aurora MySQL and Rate to Easypost — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Tracker Tracking for a shipment by tracking_code and carrier; create a Tracker to begin tracking, read status and tracking_details, and receive tracker.updated events via webhook as the parcel moves. Databases (schemas) is specific to AWS Aurora MySQL and Tracker to Easypost — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Batch Bulk shipment processing; create a batch, add or remove shipments, buy all labels at once, and generate a consolidated label or ScanForm for the day's orders. Tables is specific to AWS Aurora MySQL and Batch to Easypost — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. Rows is specific to AWS Aurora MySQL and CarrierAccount to Easypost — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Webhook Event subscriptions delivering an Event via HTTP POST on object changes; full CRUD (create, retrieve, list, update, delete) and the mechanism for near-real-time change delivery to Stacksync. Columns is specific to AWS Aurora MySQL and Webhook to Easypost — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Shipment The central writable object: create with a to/from Address and Parcel, receive Rate options, then buy a label to get postage_label and tracking_code; retrieve and list with cursor pagination. Primary keys and indexes is specific to AWS Aurora MySQL and Shipment to Easypost — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Easypost

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

AWS Aurora MySQL Easypost Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to Easypost through its API, with automatic retries and rate-limit backoff.

Easypost AWS Aurora MySQL Sub-second propagation

DetectionEasypost notifies Stacksync of record changes through webhook events. Webhooks deliver an Event via HTTP POST on object changes (e.g.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Easypost: Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests.
What ships with AWS Aurora MySQL ⇄ Easypost

Connect AWS Aurora MySQL and Easypost for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Easypost connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Easypost instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Easypost data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora MySQL or Easypost record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Easypost sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Easypost.

How the AWS Aurora MySQL and Easypost connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

Easypost

Integration surface
REST API (EasyPost API v2, https://api.easypost.com/v2)
Authentication
HTTP Basic auth with the API key as the username and an empty password (Bearer token also accepted); separate Test and Production keys
Change detection
Webhooks deliver an Event via HTTP POST on object changes (e.g. tracker.updated); historical pulls via list/index endpoints using before_id/after_id cursor pagination
Capabilities
read · write · webhooks
Rate limits
Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests
Easypost setup guide
How it works

How to connect AWS Aurora MySQL to Easypost — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL and Easypost with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Easypost connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Easypost objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Easypost
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL Easypost
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Easypost integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
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→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 408 integrations available for AWS Aurora MySQL and Easypost.

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