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Database ⇄ Business productivity

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

Keep AWS Aurora PostgreSQL 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and Sysaid

Mirror Sysaid's data into AWS Aurora PostgreSQL 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 PostgreSQL.

Stacksync mirrors Assets, Configuration Items (CIs), Companies, Custom Fields from Sysaid into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL 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 Two-way sync Incidents and Service Requests with a Postgres database so on-call and internal apps read and update tickets in SQL while agents keep working in SysAid.
  • 02 Create SysAid Incidents from monitoring or error-tracking alerts, then write status and resolution back so both systems stay aligned.
  • 03 Sync JSONB-heavy application data into structured objects in downstream business systems.
  • 04 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

Common sync patterns

React to changes as they happen

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

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Sysaid with a query

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

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects Sysaid objects How this pairing syncs
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Companies Customer and department organizations that scope tickets and users; mapped to Accounts in a CRM or org tables in a database. Columns is specific to AWS Aurora PostgreSQL and Companies to Sysaid — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Custom Fields to Sysaid — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync 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 and materialized views is specific to AWS Aurora PostgreSQL and Incidents to Sysaid — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references 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 PostgreSQL and Service Requests to Sysaid — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. Replication slots and publications is specific to AWS Aurora PostgreSQL and Problems to Sysaid — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. Databases and schemas is specific to AWS Aurora PostgreSQL and Changes to Sysaid — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Sysaid Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Sysaid AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Sysaid

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or Sysaid record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Sysaid.

How the AWS Aurora PostgreSQL and Sysaid connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    Sysaid connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL 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.

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DPF US-EU-UK-CH
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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 457 integrations available for AWS Aurora PostgreSQL and Sysaid.

Popular · 6 of 457
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