Real-time
Two-way sync
Changes in Atlassian or Newrelic instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Atlassian to Newrelic integration — real-time, two-way sync
Keep Atlassian 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.
- 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
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Migrated from Celigo
Why teams connect Atlassian and Newrelic
Connect the tickets, records, and events in Atlassian to the systems engineering runs in Newrelic, kept current in real time and in both directions.
Atlassian is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Newrelic is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints in Atlassian with Alert Policies & Conditions, NRQL Query Results, Entities, Workloads in Newrelic field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Common use cases
- 01 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- 02 Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- 03 Provision Synthetics Monitors from a service catalog and read their results via NRQL for availability and latency reporting in SQL.
- 04 Provision and update Dashboards and Alert Policies from a config repository or database through NerdGraph so definitions stay versioned and consistent across accounts and environments.
Common sync patterns
Where Newrelic watches operations: live volumes for visibility
Open items, throughput, and error counts from Atlassian replicate into Newrelic, so the operational view reflects what is actually happening in the business.
One shared record across both systems
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
Where Newrelic tracks engineering work: requests become issues
A ticket or request raised in Atlassian opens or updates a matching issue in Newrelic, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
What you can sync between Atlassian and Newrelic
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.
| Atlassian objects | Newrelic objects | How this pairing syncs | |
|---|---|---|---|
| Attachments Files on issues mirrored to paired records where needed. | Change Tracking (Deployments) Deployment and change markers recorded through NerdGraph changeTrackingCreateDeployment; written from CI/CD to annotate charts, and read back via NRQL on the Deployment event for release correlation. | Attachments is specific to Atlassian and Change Tracking (Deployments) to Newrelic — each maps to any object or custom field on the other side. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | 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. | Custom Fields is specific to Atlassian and Dashboards to Newrelic — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | 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. | Workflows and Statuses is specific to Atlassian and Alert Policies & Conditions to Newrelic — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | 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. | Users and Groups is specific to Atlassian and NRQL Query Results to Newrelic — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | 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. | Confluence Pages is specific to Atlassian and Entities to Newrelic — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | 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. | Confluence Spaces is specific to Atlassian and Workloads to Newrelic — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Newrelic
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.
Atlassian Newrelic Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is written to Newrelic through its API, with automatic retries and rate-limit backoff.
Newrelic Atlassian 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 Atlassian 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.
What ships with Atlassian ⇄ Newrelic
Connect Atlassian and Newrelic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Newrelic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Newrelic 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 Atlassian or Newrelic record.
Observability
Monitoring
Track your Atlassian ⇄ Newrelic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Newrelic.
How the Atlassian and Newrelic connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
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.
How it works
How to connect Atlassian to Newrelic — 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.
- 01
Connect your apps
Authenticate Atlassian 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.
Atlassian
connected
Newrelic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian 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.
objects · Atlassian ⇄ NewrelicCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian NewrelicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Newrelic integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Newrelic: authenticate both systems, choose the objects to sync (such as Atlassian's Attachments and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. Newrelic: NRQL queries run via the API are limited to 3,000 per account per minute with a 5-second default timeout and about 5,000 data points per response; the historical data export path can return far more. Stacksync's field mapping accounts for these differences between Atlassian and Newrelic without custom code.
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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 Atlassian and Newrelic records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Newrelic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Newrelic integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Newrelic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. 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.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 323 integrations available for Atlassian and Newrelic.
Popular · 8 of 323
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Atlassian ⇄ PagerDuty -
Atlassian ⇄ Jira -
Atlassian ⇄ Rabbitmq -
Atlassian ⇄ Azure Service Bus -
Newrelic ⇄ Monday -
Newrelic ⇄ Notion -
Newrelic ⇄ Quip -
Newrelic ⇄ Smartsheet
No integrations match .
