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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL and Sysaid 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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  • POC with real engineers in minutes

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

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Why teams connect AWS Aurora MySQL and Sysaid

Mirror Sysaid's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Sysaid through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora MySQL.

Stacksync mirrors Changes, Users, Assets, Configuration Items (CIs) from Sysaid into Databases (schemas), Tables, Rows, Columns in AWS Aurora MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Sysaid, so the tool and the database never disagree.

Common use cases

  • 01 Mirror Assets and Configuration Items with an external CMDB or asset database so inventory and ticket linkage share one source of truth.
  • 02 Stream Service Records into a warehouse for SLA, backlog, and MTTR reporting without manual CSV exports.
  • 03 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 04 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Common sync patterns

Read Sysaid with a query

Records from Sysaid are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Sysaid from your codebase

Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into Sysaid, replacing custom integration code.

React to changes as they happen

Updates in Sysaid arrive as row changes in AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora MySQL and Sysaid

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 Sysaid objects How this pairing syncs
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. Primary keys and indexes is specific to AWS Aurora MySQL and Custom Fields to Sysaid — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. Views is specific to AWS Aurora MySQL and Incidents to Sysaid — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. Foreign keys is specific to AWS Aurora MySQL and Service Requests to Sysaid — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. Stored procedures and triggers is specific to AWS Aurora MySQL and Problems to Sysaid — 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. Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. Databases (schemas) is specific to AWS Aurora MySQL and Changes to Sysaid — 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. Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. Tables is specific to AWS Aurora MySQL and Users to Sysaid — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Sysaid

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 Sysaid 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 Sysaid through its API, with automatic retries and rate-limit backoff.

Sysaid AWS Aurora MySQL Sub-second propagation

DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.

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

Rate-limit considerations

  • Sysaid: Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
What ships with AWS Aurora MySQL ⇄ Sysaid

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Sysaid 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 Sysaid 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 Sysaid record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Sysaid 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 Sysaid.

How the AWS Aurora MySQL and Sysaid 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

Sysaid

Integration surface
REST API (JSON)
Authentication
Client-credentials app keys: an application key (clientId/clientSecret) is created via /v1/application-keys, then exchanged at /v1/access-tokens for a bearer token (default 24h, up to 30 days); an x-sysaid-accountid header scopes the account. Legacy V0 uses session-cookie login.
Change detection
Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte.
Capabilities
read · write · webhooks
Rate limits
Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
How it works

How to connect AWS Aurora MySQL to Sysaid — 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 Sysaid 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
    Sysaid connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Sysaid 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 ⇄ Sysaid
    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 Sysaid
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Sysaid 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
SOC 2 Type II
ISO 27001
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GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ 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 455 integrations available for AWS Aurora MySQL and Sysaid.

Popular · 8 of 455
All AWS Aurora MySQL integrations All Sysaid integrations Browse all integrations
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