Two-way sync
Changes in PagerDuty or Slack instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Slack in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Slack 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 Reactions, Channels, Messages, Threads in Slack with On-Calls, Notes and Log Entries, Incidents, Services 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.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
A ticket or request raised in Slack opens or updates a matching issue in PagerDuty, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Slack publish to the queue or topic in PagerDuty as they happen, so downstream services react to real events rather than polling for them.
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 | Slack objects | How this pairing 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. | Users Workspace members with profile fields, synced against HR systems and identity providers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| 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. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | On-Calls is specific to PagerDuty and Threads to Slack — 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. | User groups Handles like @support that map to teams in external systems. | Notes and Log Entries is specific to PagerDuty and User groups to Slack — 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. | Files Uploads attached to messages, retrievable for archiving. | Incidents is specific to PagerDuty and Files to Slack — 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. | Reactions Emoji responses that can drive workflows, such as approving a synced record. | Services is specific to PagerDuty and Reactions to Slack — 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. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | Teams is specific to PagerDuty and Channels to Slack — 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 written to Slack through its API, with automatic retries and rate-limit backoff.
DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.
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–Slack connection.
Changes in PagerDuty or Slack instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Slack 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 Slack record.
Track your PagerDuty ⇄ Slack sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Slack.
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 Slack 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 Slack 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 Slack: authenticate both systems, choose the objects to sync (such as PagerDuty's Users and On-Calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for PagerDuty and Slack: One shared record across both systems; Where PagerDuty tracks engineering work: requests become issues; Where PagerDuty moves messages between services: activity lands on the stream. Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
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. Slack: Web API (HTTP RPC-style methods) plus the Events API. Authentication: OAuth 2.0 with bot or user tokens and granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
Slack: Message content beyond plain text is structured with Block Kit, which a sync layer must compose when writing. PagerDuty: V3 webhook subscriptions are created per account and cover incident and service events; historical backfill still requires paginated REST reads with since/until. Stacksync's field mapping accounts for these differences between PagerDuty and Slack 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 PagerDuty and Slack records are not retained after a sync operation.
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 332 integrations available for PagerDuty and Slack.