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

Keep Newrelic and Slack 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 Slack

Connect the tickets, records, and events in Slack to the systems engineering runs in Newrelic, kept current in real time and in both directions.

Slack 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 Channels, Messages, Threads, Users in Slack with Change Tracking (Deployments), Dashboards, Alert Policies & Conditions, NRQL Query Results 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 Alert an operations channel when a data sync detects conflicts or validation failures
  • 02 Post CRM record changes into deal or account channels so the team sees updates without opening the CRM
  • 03 Record deployment and change markers from CI/CD through NerdGraph change tracking to correlate releases with performance and error-rate shifts.
  • 04 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.

Common sync patterns

Where Newrelic tracks engineering work: requests become issues

A ticket or request raised in Slack 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.

Where Newrelic moves messages between services: activity lands on the stream

Records created or changed in Slack publish to the queue or topic in Newrelic as they happen, so downstream services react to real events rather than polling for them.

Where Newrelic is the directory or identity source: one set of users

People and accounts in Slack stay matched to the users in Newrelic, so access, provisioning, and org changes propagate instead of being keyed in twice.

What you can sync between Newrelic and Slack

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 Slack objects How this pairing syncs
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. Reactions Emoji responses that can drive workflows, such as approving a synced record. Entities is specific to Newrelic and Reactions to Slack — 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. Channels Conversations (public, private, DMs) that messages are read from and posted to. Workloads is specific to Newrelic and Channels to Slack — 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. Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. Synthetics Monitors is specific to Newrelic and Messages to Slack — 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. Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. Custom Events is specific to Newrelic and Threads to Slack — each maps to any object or custom field on the other side.
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. Users Workspace members with profile fields, synced against HR systems and identity providers. Change Tracking (Deployments) is specific to Newrelic and Users to Slack — each maps to any object or custom field on the other side.
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. User groups Handles like @support that map to teams in external systems. Dashboards is specific to Newrelic and User groups to Slack — each maps to any object or custom field on the other side.

How changes propagate between Newrelic and Slack

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

Slack Newrelic Sub-second propagation

DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.

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.
  • Slack: Per-method rate limit tiers; message posting is additionally limited per channel.
What ships with Newrelic ⇄ Slack

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Newrelic or Slack 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 Slack record.

Observability

Monitoring

Track your Newrelic ⇄ Slack 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 Slack.

How the Newrelic and Slack 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.

Slack

Integration surface
Web API (HTTP RPC-style methods) plus the Events API
Authentication
OAuth 2.0 with bot or user tokens and granular scopes
Change detection
Events API webhooks, delivered over HTTP callbacks or Socket Mode
Capabilities
read · write · webhooks
Rate limits
Per-method rate limit tiers; message posting is additionally limited per channel
How it works

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

    Choose tables

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

Newrelic and Slack 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 332 integrations available for Newrelic and Slack.

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