Two-way sync
Changes in IBM AS/400 or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 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.
IBM AS/400 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 Data queues, Libraries, Physical files (tables), Logical files (views) in IBM AS/400 with Users, Teams, Schedules, Escalation Policies 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.
A new or changed row in IBM AS/400 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.
Records and events from PagerDuty arrive in IBM AS/400 as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in IBM AS/400 and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| IBM AS/400 objects | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Libraries The schema-equivalent containers that scope which files a sync reads. | 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. | Libraries is specific to IBM AS/400 and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Physical files (tables) is specific to IBM AS/400 and Teams to PagerDuty — each maps to any object or custom field on the other side. | |
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Logical files (views) is specific to IBM AS/400 and Schedules to PagerDuty — each maps to any object or custom field on the other side. | |
| Members Sub-partitions of files in legacy applications, flattened or selected during 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. | Members is specific to IBM AS/400 and Escalation Policies to PagerDuty — each maps to any object or custom field on the other side. | |
| Rows / records The unit of read and write, accessed via SQL or record-level access. | 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. | Rows / records is specific to IBM AS/400 and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| Journals and journal receivers The change log that enables log-based CDC on journaled files. | 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. | Journals and journal receivers is specific to IBM AS/400 and Notes and Log Entries to PagerDuty — 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.
DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
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 IBM AS/400 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–PagerDuty connection.
Changes in IBM AS/400 or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or PagerDuty data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM AS/400 or PagerDuty record.
Track your IBM AS/400 ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and PagerDuty.
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 IBM AS/400 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.
Pick the IBM AS/400 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.
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 IBM AS/400 and PagerDuty: authenticate both systems, choose the objects to sync (such as IBM AS/400's Libraries and Physical files (tables)), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM AS/400: Journaling writes row-level before/after images to journal receivers, which is the basis for log-based CDC on IBM i. PagerDuty: On-Calls, Log Entries, and alert reports are computed, read-only resources — they can be read but not written back. Stacksync's field mapping accounts for these differences between IBM AS/400 and PagerDuty 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 IBM AS/400 and PagerDuty records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM AS/400 and PagerDuty connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM AS/400–PagerDuty integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM AS/400 and PagerDuty. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 312 integrations available for IBM AS/400 and PagerDuty.