Two-way sync
Changes in IBM AS/400 or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 and Newrelic 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; Newrelic 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 Rows / records, Journals and journal receivers, Data queues, Libraries in IBM AS/400 with Entities, Workloads, Synthetics Monitors, Custom Events in Newrelic 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.
Records and events from Newrelic 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 Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Newrelic arrive as row changes in IBM AS/400, and writes to IBM AS/400 propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.
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 | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Dashboards Dashboard definitions and widgets via NerdGraph dashboardCreate/dashboardUpdate/dashboardDelete mutations and entity queries, with full CRUD; exported for backup and audit or provisioned and updated programmatically from a source of truth. | Logical files (views) is specific to IBM AS/400 and Dashboards to Newrelic — 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. | Alert Policies & Conditions Alert policies and NRQL alert conditions managed through NerdGraph alertsPolicy and alertsNrqlCondition mutations with full create, update, and delete; read out for audit or provisioned from a config source so alerting stays consistent across accounts. | Members is specific to IBM AS/400 and Alert Policies & Conditions to Newrelic — 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. | NRQL Query Results Telemetry events, metrics, logs, and spans queried through NerdGraph's nrql field (or the legacy Insights query API) over time windows; read-only and bounded by data retention, commonly streamed into a warehouse for long-term analysis. | Rows / records is specific to IBM AS/400 and NRQL Query Results to Newrelic — 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. | Entities The entity catalog of APM applications, hosts, services, and monitors searched via NerdGraph entitySearch; read for inventory, with tags added or replaced through taggingAddTagsToEntity so ownership and environment metadata stay in sync. | Journals and journal receivers is specific to IBM AS/400 and Entities to Newrelic — each maps to any object or custom field on the other side. | |
| Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | Workloads Workload groupings of related entities via NerdGraph workloadCreate/workloadUpdate/workloadDelete with full CRUD; read for status rollups or provisioned from a service catalog to keep team-level views current. | Data queues is specific to IBM AS/400 and Workloads to Newrelic — each maps to any object or custom field on the other side. | |
| Libraries The schema-equivalent containers that scope which files a sync reads. | Synthetics Monitors Synthetic uptime and scripted browser checks managed through NerdGraph synthetics mutations (create, update, delete); monitor results are read via NRQL for availability and latency reporting. | Libraries is specific to IBM AS/400 and Synthetics Monitors to Newrelic — 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 Newrelic through its API, with automatic retries and rate-limit backoff.
DetectionNewrelic notifies Stacksync of record changes through webhook events. NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans).
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–Newrelic connection.
Changes in IBM AS/400 or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or Newrelic 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 Newrelic record.
Track your IBM AS/400 ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Newrelic.
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 Newrelic 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 Newrelic 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 Newrelic: authenticate both systems, choose the objects to sync (such as IBM AS/400's Logical files (views) and Members), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both IBM AS/400 and Newrelic. 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 Newrelic: NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans); config objects such as dashboards, alert policies, and workloads carry no modified-date and are diffed on each run. Alert workflows can push outbound webhook notifications for near-real-time alerting. No CDC feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the IBM AS/400 side: Rows / records, Journals and journal receivers, Data queues, Libraries, plus custom fields where IBM AS/400 exposes them. On the Newrelic side: Entities, Workloads, Synthetics Monitors, Custom Events. 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 IBM AS/400 and Newrelic: Land tool activity as queryable rows; One integration pattern instead of per-tool API code; React to changes on either side in near real time. Records and events from Newrelic arrive in IBM AS/400 as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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 Newrelic.