Two-way sync
Changes in PagerDuty or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Scaleway Postgres 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, Schemas, Sequences, Columns in Scaleway Postgres 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.
Read and write the synced tables in Scaleway Postgres and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in PagerDuty arrive as row changes in Scaleway Postgres, and writes to Scaleway Postgres propagate to PagerDuty within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in PagerDuty stay matched to the users or owners table in Scaleway Postgres, so provisioning and de-provisioning flow from one source.
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.
| PagerDuty objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Views Read-only sources for shaping data before it leaves the database. | On-Calls is specific to PagerDuty and Views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Notes and Log Entries is specific to PagerDuty and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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 Namespace tables so multiple applications or environments can be synced selectively. | Incidents is specific to PagerDuty and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Services is specific to PagerDuty and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Users is specific to PagerDuty and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Teams is specific to PagerDuty and Tables to Scaleway Postgres — 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.
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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PagerDuty–Scaleway Postgres connection.
Changes in PagerDuty or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single PagerDuty or Scaleway Postgres record.
Track your PagerDuty ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Scaleway Postgres.
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 PagerDuty and Scaleway Postgres 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 PagerDuty and Scaleway Postgres 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 PagerDuty and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as PagerDuty's On-Calls and Notes and Log Entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed PagerDuty and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom PagerDuty–Scaleway Postgres integration in-house.
Yes — Stacksync ships production-grade connectors for both PagerDuty and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on PagerDuty: 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. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Scaleway Postgres side: Materialized views, Schemas, Sequences, Columns, plus custom fields where Scaleway Postgres exposes them. On the PagerDuty side: Incidents, Services, Users, Teams. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 322 integrations available for PagerDuty and Scaleway Postgres.