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

Keep Newrelic and OpenSearch in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Newrelic and OpenSearch

Keep OpenSearch and Newrelic in step: the rows in your database and the Custom Events, Change Tracking (Deployments), Dashboards, Alert Policies & Conditions your engineering tools track stay consistent in real time, in both directions.

OpenSearch 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 Documents, Index aliases, Index templates, Ingest pipelines in OpenSearch with Custom Events, Change Tracking (Deployments), Dashboards, Alert Policies & Conditions 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.

Common use cases

  • 01 Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • 02 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 03 Sync the Entity catalog into a CMDB or warehouse for asset inventory, and add or replace entity Tags to keep ownership and environment metadata current.
  • 04 Provision Synthetics Monitors from a service catalog and read their results via NRQL for availability and latency reporting in SQL.

Common sync patterns

One integration pattern instead of per-tool API code

Read and write the synced tables in OpenSearch and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

React to changes on either side in near real time

Updates in Newrelic arrive as row changes in OpenSearch, and writes to OpenSearch propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.

Where Newrelic manages users or groups: keep identity aligned

Directory and identity records in Newrelic stay matched to the users or owners table in OpenSearch, so provisioning and de-provisioning flow from one source.

What you can sync between Newrelic and OpenSearch

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.

Newrelic objects OpenSearch objects How this pairing 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. Snapshots Backup artifacts, relevant when reseeding an index from a repository Alert Policies & Conditions is specific to Newrelic and Snapshots to OpenSearch — each maps to any object or custom field on the other side.
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. Indexes The core container; synced records land in indexes with defined mappings NRQL Query Results is specific to Newrelic and Indexes to OpenSearch — each maps to any object or custom field on the other side.
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. Documents JSON records written via the index and bulk APIs and read via search queries Entities is specific to Newrelic and Documents to OpenSearch — each maps to any object or custom field on the other side.
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. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Workloads is specific to Newrelic and Index aliases to OpenSearch — each maps to any object or custom field on the other side.
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. Index templates Mapping and settings presets applied to new indexes a sync creates Synthetics Monitors is specific to Newrelic and Index templates to OpenSearch — each maps to any object or custom field on the other side.
Custom Events Custom events posted write-only to the Event API on insights-collector with a License/Ingest key; business or pipeline events pushed into New Relic to enrich dashboards, then queried back out with NRQL. Ingest pipelines Server-side processors that transform documents as they are written Custom Events is specific to Newrelic and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side.

How changes propagate between Newrelic and OpenSearch

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.

Newrelic OpenSearch Sub-second propagation

DetectionNewrelic notifies Stacksync of record changes through webhook events. NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans).

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

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

Rate-limit considerations

  • Newrelic: NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.
  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Newrelic ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Newrelic or OpenSearch 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 Newrelic or OpenSearch record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Newrelic and OpenSearch connectors work

Newrelic

Integration surface
NerdGraph (GraphQL) plus REST data-ingest APIs (Event, Metric, Log, Trace) and the legacy REST API v2
Authentication
User API key (prefixed NRAK-) sent in the API-Key header for NerdGraph queries and mutations; the data-ingest APIs (Event, Metric, Log) use a License/Ingest key in the Api-Key header. Keys, endpoints, and data are region-scoped (US, EU, JP).
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
NerdGraph allows 25 concurrent requests per user and returns HTTP 429 when exceeded; NRQL run via APIs is capped at 3,000 queries per account per minute with a 5-second default timeout and about 5,000 data points per response. The Event API accepts 1MB per POST and 100,000 POSTs per minute per account.

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
How it works

How to connect Newrelic to OpenSearch — 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 Newrelic and OpenSearch 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
    Newrelic connected
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Newrelic and OpenSearch 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 · Newrelic ⇄ OpenSearch
    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
    Newrelic OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Newrelic and OpenSearch 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 Newrelic and OpenSearch.

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