Two-way sync
Changes in PagerDuty or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Rockset is the central store where teams keep Aliases, Integrations, Virtual Instances, Collections for reporting and analysis; PagerDuty runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Schedules, Escalation Policies, On-Calls, Notes and Log Entries produced in PagerDuty are exactly what analysts want to measure in Rockset, and the curated rows in Rockset are what should drive the next action in PagerDuty. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Aliases, Integrations, Virtual Instances, Collections in Rockset 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 matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Records created in PagerDuty — issues, events, messages, metrics, or user changes — replicate into Rockset tables as they happen, so reporting runs on current data instead of last night's export.
A row scored, flagged, or enriched in Rockset creates or updates the matching record in PagerDuty, so the operational tool acts on the same data the analysts already see.
Load the existing set of Schedules, Escalation Policies, On-Calls, Notes and Log Entries into Rockset once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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 | Rockset objects | How this pairing syncs | |
|---|---|---|---|
| Escalation Policies Ordered rules routing incidents to users and schedules; read and written two-way to codify paging logic from a source of truth. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | Escalation Policies is specific to PagerDuty and Integrations to Rockset — each maps to any object or custom field on the other side. | |
| 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. | Virtual Instances Isolated compute units that separate ingest from query workloads. | On-Calls is specific to PagerDuty and Virtual Instances to Rockset — 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. | Collections Schemaless document containers that ingested and synced records land in. | Notes and Log Entries is specific to PagerDuty and Collections to Rockset — 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. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Incidents is specific to PagerDuty and Documents to Rockset — 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. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Services is specific to PagerDuty and Workspaces to Rockset — 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. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Users is specific to PagerDuty and Query Lambdas to Rockset — 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 Rockset as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
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–Rockset connection.
Changes in PagerDuty or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Rockset 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 Rockset record.
Track your PagerDuty ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Rockset.
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 Rockset 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 Rockset 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 Rockset: authenticate both systems, choose the objects to sync (such as PagerDuty's Escalation Policies and On-Calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Rockset side: Aliases, Integrations, Virtual Instances, Collections, plus custom fields where Rockset exposes them. On the PagerDuty side: Schedules, Escalation Policies, On-Calls, Notes and Log Entries. 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.
Common patterns for PagerDuty and Rockset: Operational data lands in Rockset for analytics; Warehouse signals reach PagerDuty; Backfill history, then stay live. Records created in PagerDuty — issues, events, messages, metrics, or user changes — replicate into Rockset tables as they happen, so reporting runs on current data instead of last night's export.
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. Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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 381 integrations available for PagerDuty and Rockset.