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Amazon Aurora to PagerDuty integration — real-time, two-way sync

Keep Amazon Aurora and PagerDuty 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 Amazon Aurora and PagerDuty

Keep Amazon Aurora and PagerDuty in step: the rows in your database and the Incidents, Services, Users, Teams your engineering tools track stay consistent in real time, in both directions.

Amazon Aurora is where your application's durable data lives; PagerDuty is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs Materialized Views, Columns and Data Types, Primary and Foreign Keys, Read Replicas in Amazon Aurora with Incidents, Services, Users, Teams in PagerDuty field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 02 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 03 Mirror Services and their integration keys with a CMDB or service catalog so ownership and tier metadata stay aligned in both directions.
  • 04 Provision and deactivate Users and Team memberships two-way from an HRIS or identity provider so the on-call roster matches the current org.

Common sync patterns

One integration pattern instead of per-tool API code

Read and write the synced tables in Amazon Aurora and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

React to changes on either side in near real time

Updates in PagerDuty arrive as row changes in Amazon Aurora, and writes to Amazon Aurora propagate to PagerDuty within seconds, so triggers, jobs, and alerts fire without polling.

Where PagerDuty manages users or groups: keep identity aligned

Directory and identity records in PagerDuty stay matched to the users or owners table in Amazon Aurora, so provisioning and de-provisioning flow from one source.

What you can sync between Amazon Aurora and PagerDuty

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.

Amazon Aurora objects PagerDuty objects How this pairing syncs
Databases Logical databases within a cluster that scope a sync connection. Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. Databases is specific to Amazon Aurora and Schedules to PagerDuty — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. Schemas is specific to Amazon Aurora and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. On-Calls Computed view of who is on call now, derived from schedules and escalation policies; read-only, ideal for pushing current responders into other systems. Tables is specific to Amazon Aurora and On-Calls to PagerDuty — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Notes and Log Entries Notes are writable to append context to an incident; log entries are a read-only record of every action taken on that incident. Views is specific to Amazon Aurora and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Incidents Core records with status of triggered, acknowledged, or resolved plus urgency and assignments; created, updated, and resolved two-way, with V3 webhooks firing on each transition. Materialized Views is specific to Amazon Aurora and Incidents to PagerDuty — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Services Technical services that group incidents and hold integration keys; read and written two-way, with service.created, service.updated, and service.deleted webhook events. Columns and Data Types is specific to Amazon Aurora and Services to PagerDuty — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and PagerDuty

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.

Amazon Aurora PagerDuty Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

PagerDuty Amazon Aurora Sub-second propagation

DetectionPagerDuty notifies Stacksync of record changes through webhook events. V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated).

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • PagerDuty: REST API allows 960 requests per minute per token and returns HTTP 429 when exceeded; the Events API is rate-limited separately per integration key.
What ships with Amazon Aurora ⇄ PagerDuty

Connect Amazon Aurora and PagerDuty for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–PagerDuty connection.

Real-time

Two-way sync

Changes in Amazon Aurora or PagerDuty instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or PagerDuty 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 Amazon Aurora or PagerDuty record.

Observability

Monitoring

Track your Amazon Aurora ⇄ PagerDuty sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and PagerDuty.

How the Amazon Aurora and PagerDuty connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

PagerDuty

Integration surface
REST API v2 (plus Events API v2 for inbound alerts)
Authentication
REST API token via the Authorization: Token header (account-level for full access or user-level scoped to the user's permissions), or OAuth 2.0 (Authorization Code / PKCE); the Events API v2 uses a per-service routing (integration) key
Change detection
V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated); list endpoints also support polling with updated_at and since/until windows
Capabilities
read · write · webhooks
Rate limits
REST API allows 960 requests per minute per token and returns HTTP 429 when exceeded; the Events API is rate-limited separately per integration key.
PagerDuty setup guide
How it works

How to connect Amazon Aurora to PagerDuty — 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 Amazon Aurora and PagerDuty 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
    Amazon Aurora connected
    PagerDuty connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and PagerDuty 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 · Amazon Aurora ⇄ PagerDuty
    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
    Amazon Aurora PagerDuty
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and PagerDuty 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
HIPAA BAA
GDPR
CCPA
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 313 integrations available for Amazon Aurora and PagerDuty.

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