Skip to content
Database ⇄ Developer tools

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

Keep OpenSearch 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 OpenSearch and PagerDuty

Keep OpenSearch and PagerDuty in step: the rows in your database and the Escalation Policies, On-Calls, Notes and Log Entries, Incidents your engineering tools track stay consistent in real time, in both directions.

OpenSearch 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 Index templates, Ingest pipelines, Data streams, Snapshots in OpenSearch with Escalation Policies, On-Calls, Notes and Log Entries, Incidents 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 Sync product catalogs from an ERP or database into the indexes that back storefront search.
  • 02 Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • 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

React to changes on either side in near real time

Updates in PagerDuty arrive as row changes in OpenSearch, and writes to OpenSearch 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 OpenSearch, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in OpenSearch creates or updates the matching record in PagerDuty, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

What you can sync between OpenSearch 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.

OpenSearch objects PagerDuty objects How this pairing syncs
Ingest pipelines Server-side processors that transform documents as they are written 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. Ingest pipelines is specific to OpenSearch and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side.
Data streams Append-oriented time-series storage for logs and events pushed from source systems 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. Data streams is specific to OpenSearch and Incidents to PagerDuty — each maps to any object or custom field on the other side.
Snapshots Backup artifacts, relevant when reseeding an index from a repository 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. Snapshots is specific to OpenSearch and Services to PagerDuty — each maps to any object or custom field on the other side.
Indexes The core container; synced records land in indexes with defined mappings 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. Indexes is specific to OpenSearch and Users to PagerDuty — each maps to any object or custom field on the other side.
Documents JSON records written via the index and bulk APIs and read via search queries Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. Documents is specific to OpenSearch and Teams to PagerDuty — each maps to any object or custom field on the other side.
Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. Index aliases is specific to OpenSearch and Schedules to PagerDuty — each maps to any object or custom field on the other side.

How changes propagate between OpenSearch 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.

OpenSearch PagerDuty Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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

PagerDuty OpenSearch 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 OpenSearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
  • 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 OpenSearch ⇄ PagerDuty

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever OpenSearch 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 OpenSearch or PagerDuty record.

Observability

Monitoring

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

Trading partners

EDI

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

How the OpenSearch and PagerDuty connectors work

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas

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

    Choose tables

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

OpenSearch 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 303 integrations available for OpenSearch and PagerDuty.

Popular · 6 of 303
All OpenSearch 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