Skip to content
Business productivity ⇄ Developer tools

Gatekeeper to PagerDuty integration — real-time, two-way sync

Keep Gatekeeper 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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Gatekeeper and PagerDuty

Connect the tickets, records, and events in Gatekeeper to the systems engineering runs in PagerDuty, kept current in real time and in both directions.

Gatekeeper is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. PagerDuty is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Categories, Contracts, Vendors (Suppliers), Files in Gatekeeper 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 maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Two-way sync Contracts between Gatekeeper and an ERP or warehouse so value, renewal dates, owner, and status stay current without manual re-keying.
  • 02 Sync Vendors (Suppliers) with a CRM or ERP so counterparty, compliance, contact, and spend records match across the VCLM and the systems of record.
  • 03 Write Schedules and Escalation Policies from a workforce tool or source-of-truth spreadsheet so rotations and overrides stay consistent across teams.
  • 04 Mirror Services and their integration keys with a CMDB or service catalog so ownership and tier metadata stay aligned in both directions.

Common sync patterns

Where PagerDuty moves messages between services: activity lands on the stream

Records created or changed in Gatekeeper publish to the queue or topic in PagerDuty as they happen, so downstream services react to real events rather than polling for them.

Where PagerDuty is the directory or identity source: one set of users

People and accounts in Gatekeeper stay matched to the users in PagerDuty, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where PagerDuty watches operations: live volumes for visibility

Open items, throughput, and error counts from Gatekeeper replicate into PagerDuty, so the operational view reflects what is actually happening in the business.

What you can sync between Gatekeeper 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.

Gatekeeper objects PagerDuty objects How this pairing syncs
Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. 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. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. Contracts is specific to Gatekeeper and Teams to PagerDuty — each maps to any object or custom field on the other side.
Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. Vendors (Suppliers) is specific to Gatekeeper and Schedules to PagerDuty — each maps to any object or custom field on the other side.
Files Document files attached to contracts and vendors - executed PDFs, certificates, and compliance evidence; read to pull signed files and evidence out, or written to push generated documents in. Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. Files is specific to Gatekeeper and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side.
Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. 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. Workflow form data is specific to Gatekeeper and On-Calls to PagerDuty — each maps to any object or custom field on the other side.
Custom data groups Customer-configured custom fields and data groups; because the JSON:API and its docs are dynamic, any custom data added in Configuration exposes the same read/write endpoints as the standard objects and syncs the same way. 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. Custom data groups is specific to Gatekeeper and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side.

How changes propagate between Gatekeeper 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.

Gatekeeper PagerDuty Interval-based propagation

DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.

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

PagerDuty Gatekeeper 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 written to Gatekeeper through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gatekeeper: Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
  • 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 Gatekeeper ⇄ PagerDuty

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gatekeeper 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 Gatekeeper or PagerDuty record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Gatekeeper and PagerDuty connectors work

Gatekeeper

Integration surface
RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant.
Authentication
API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently.
Change detection
No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream.
Capabilities
read · write
Rate limits
Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.

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 Gatekeeper 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 Gatekeeper 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
    Gatekeeper connected
    PagerDuty connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gatekeeper 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 · Gatekeeper ⇄ 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
    Gatekeeper PagerDuty
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Gatekeeper 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 286 integrations available for Gatekeeper and PagerDuty.

Popular · 7 of 286
All Gatekeeper integrations All PagerDuty integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own