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PagerDuty to Scaleway Postgres integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • 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 PagerDuty and Scaleway Postgres

Keep Scaleway Postgres 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.

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.

Common use cases

  • 01 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
  • 02 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
  • 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 Scaleway Postgres 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 Scaleway Postgres, and writes to Scaleway Postgres 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 Scaleway Postgres, so provisioning and de-provisioning flow from one source.

What you can sync between PagerDuty and Scaleway Postgres

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.

How changes propagate between PagerDuty and Scaleway Postgres

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.

PagerDuty Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.

Scaleway Postgres PagerDuty Sub-second propagation

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.

Rate-limit considerations

  • 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.
  • Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with PagerDuty ⇄ Scaleway Postgres

Connect PagerDuty and Scaleway Postgres for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PagerDuty or Scaleway Postgres 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 PagerDuty or Scaleway Postgres record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between PagerDuty and Scaleway Postgres.

How the PagerDuty and Scaleway Postgres connectors work

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

Scaleway Postgres

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials (username/password over TLS)
Change detection
Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by instance size and connection limits rather than API quotas
How it works

How to connect PagerDuty to Scaleway Postgres — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    PagerDuty connected
    Scaleway Postgres connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · PagerDuty ⇄ Scaleway Postgres
    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
    PagerDuty Scaleway Postgres
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

PagerDuty and Scaleway Postgres 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 322 integrations available for PagerDuty and Scaleway Postgres.

Popular · 8 of 322
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