Two-way sync
Changes in Amazon RDS or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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.
Amazon RDS 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 Views, Columns, Primary and Unique Keys, Read Replicas in Amazon RDS with Schedules, Escalation Policies, On-Calls, Notes and Log Entries 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.
Directory and identity records in PagerDuty stay matched to the users or owners table in Amazon RDS, so provisioning and de-provisioning flow from one source.
A new or changed row in Amazon RDS creates or updates the matching record in PagerDuty, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from PagerDuty arrive in Amazon RDS as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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 RDS objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to isolate synced tables. | 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. | Schemas is specific to Amazon RDS and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | 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. | Tables is specific to Amazon RDS and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Users Responders with contact methods and notification rules; provisioned and updated two-way to keep the on-call roster aligned with an HRIS or identity provider. | Views is specific to Amazon RDS and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Columns is specific to Amazon RDS and Teams to PagerDuty — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Primary and Unique Keys is specific to Amazon RDS and Schedules to PagerDuty — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Read Replicas is specific to Amazon RDS and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
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 RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–PagerDuty connection.
Changes in Amazon RDS or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or PagerDuty data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or PagerDuty record.
Track your Amazon RDS ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and PagerDuty.
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.
Authenticate Amazon RDS 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.
Pick the Amazon RDS 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon RDS and PagerDuty: authenticate both systems, choose the objects to sync (such as Amazon RDS's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon RDS and PagerDuty: Where PagerDuty manages users or groups: keep identity aligned; Turn rows into the records your tools track; Land tool activity as queryable rows. Directory and identity records in PagerDuty stay matched to the users or owners table in Amazon RDS, so provisioning and de-provisioning flow from one source.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. PagerDuty: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. PagerDuty: Incoming monitoring alerts are ingested through the Events API v2 with a per-service routing (integration) key, separate from the REST API used for management. Stacksync's field mapping accounts for these differences between Amazon RDS and PagerDuty without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon RDS and PagerDuty records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and PagerDuty connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–PagerDuty integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 333 integrations available for Amazon RDS and PagerDuty.