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Automate Observability Workflows with New Relic Integrations

Connect New Relic to your tech stack to route alerts, sync incident data, and build DevOps automation pipelines.

What can you do with the New Relic connector?

New Relic gives you real-time performance monitoring, distributed tracing, and alerting across your application stack. But that telemetry data only gets useful when it reaches your incident management, collaboration, and BI tools. With tray.ai, teams can automate the full incident lifecycle — from a New Relic alert firing through to resolution, retrospective, and reporting — without writing custom glue code.

Automate & integrate New Relic

Automating New Relic business processes or integrating New Relic data is made easy with Tray.ai.

new-relic
opsgenie
slack

Use case

Automated Incident Response and Escalation

When New Relic detects an anomaly or breaches an alert threshold, tray.ai can instantly create incidents in PagerDuty or Opsgenie, post notifications in Slack, and open tickets in Jira — all in parallel. That eliminates the manual triage step that costs precious minutes during outages and ensures no critical alert gets missed.

  • Reduce mean time to acknowledge (MTTA) by triggering downstream actions the moment a New Relic alert fires
  • Keep incident routing consistent based on alert severity, service name, or team ownership tags
  • Automatically attach New Relic chart links and APM data directly into Jira tickets or PagerDuty incidents
new-relic
servicenow
jira

Use case

Bi-Directional Incident Sync Across Tools

Engineering teams often manage incidents simultaneously in New Relic, ServiceNow, and Jira, which leads to fragmented status updates. tray.ai keeps incident state in sync across platforms — when a ServiceNow ticket is resolved, the corresponding New Relic alert policy acknowledgment updates automatically, and vice versa.

  • Eliminate duplicate data entry across incident management platforms
  • Keep SRE, DevOps, and IT teams working from a single source of truth for incident status
  • Automatically close or reopen related tickets based on New Relic alert state changes
new-relic
google-sheets
confluence

Use case

SLO and Error Budget Reporting to Business Stakeholders

New Relic tracks SLOs and error budgets, but getting that data to non-technical stakeholders usually means manual exports and spreadsheet work. tray.ai can pull SLO compliance data from New Relic's NerdGraph API on a schedule and push formatted summaries into Google Sheets, Confluence, or Tableau dashboards.

  • Automate weekly or monthly SLO compliance reports delivered directly to Confluence or email
  • Give product and business leaders visibility into reliability metrics without needing dashboard access
  • Track error budget burn rate trends over time in a data warehouse like BigQuery or Snowflake
new-relic

Use case

Deployment Marker and Change Tracking Automation

Correlating deploy events with New Relic APM data is how you understand what a release actually did to performance. tray.ai can automatically post deployment markers to New Relic whenever a CI/CD pipeline in GitHub Actions, CircleCI, or Jenkins completes, giving you instant correlation between releases and performance regressions.

  • Automatically annotate New Relic charts with deployment events from any CI/CD tool
  • Correlate error rate spikes with specific commits or pull requests within seconds of deploy
  • Trigger automated rollback workflows when post-deploy New Relic metrics breach thresholds
new-relic
openai

Use case

AI Agent-Driven Root Cause Analysis Assistance

Build AI agents on tray.ai that query New Relic's NerdGraph API to gather APM traces, infrastructure metrics, and log data when an incident fires, then pass that context to an LLM like OpenAI to generate a preliminary root cause analysis summary. On-call engineers get a head start before they even open their laptops.

  • Automatically compile relevant New Relic traces, metrics, and logs into a single incident brief
  • Cut cognitive load for on-call engineers during high-stress outages
  • Refine AI prompts with historical incident data over time to improve RCA accuracy
new-relic

Use case

Customer-Impacting Incident Communication

When New Relic identifies a customer-facing service degradation, tray.ai can automatically trigger status page updates in Statuspage.io or Atlassian Status Page, and send proactive email or SMS notifications to affected customer segments from your CRM. Support ticket volume stays down and customers stay informed.

  • Automatically update public status pages the moment a customer-facing alert fires in New Relic
  • Reduce inbound support volume by notifying customers before they notice the issue
  • Sync incident resolution status back to the status page and trigger customer follow-up messaging

Build New Relic Agents

Give agents secure and governed access to New Relic through Agent Builder and Agent Gateway for MCP.

Query Application Performance Metrics

Data Source

Retrieve real-time and historical performance data — response times, throughput, error rates — for monitored applications. An agent can use this to spot bottlenecks or generate health summaries.

Fetch Alert Violations and Incidents

Data Source

Pull active or historical alert violations and incidents from New Relic to give an agent situational awareness during an outage. This enables automated triage by surfacing which thresholds have been breached and for how long.

Retrieve Infrastructure Health Data

Data Source

Access CPU, memory, disk, and network metrics for monitored hosts and containers. An agent can use this to correlate infrastructure issues with application-level degradation.

Run NRQL Queries

Data Source

Execute custom NRQL queries against telemetry data to surface specific insights on demand. This gives an agent flexible, ad-hoc access to logs, traces, events, and metrics across any monitored service.

Look Up Deployment Markers

Data Source

Retrieve recorded deployments and change markers to correlate performance shifts with recent code releases. An agent can use this to automatically determine whether a new deployment caused a detected anomaly.

Access Synthetic Monitor Results

Data Source

Fetch results and failure details from New Relic Synthetic monitors that simulate user interactions. An agent can use this to flag external availability issues before real users are impacted.

Create Alert Policies and Conditions

Agent Tool

Programmatically define new alert policies and threshold conditions for monitored entities. An agent can use this to automatically set up monitoring when a new service is deployed or an on-call policy changes.

Acknowledge or Close Incidents

Agent Tool

Update the status of open incidents by acknowledging or resolving them directly within New Relic. This lets an agent coordinate incident response workflows and cut noise once a fix has been confirmed.

Create Deployment Markers

Agent Tool

Record deployment events against an application to mark when a new version was released. An agent can trigger this automatically as part of a CI/CD pipeline, making before-and-after performance comparisons straightforward.

Mute Alert Conditions

Agent Tool

Apply muting rules to suppress alerts during planned maintenance windows or known incidents. An agent can automate this to prevent alert fatigue when a scheduled downtime or controlled change is underway.

Send Custom Events

Agent Tool

Ingest custom event data into New Relic's telemetry pipeline to capture business or operational events that aren't natively tracked. An agent can use this to enrich observability data with context from external systems like CRMs or ticketing tools.

Tag and Manage Monitored Entities

Agent Tool

Add, update, or remove metadata tags on monitored services, hosts, and applications. An agent can keep entity metadata consistent across environments, making it easier to filter and query data by team, environment, or product area.

Ready to solve your New Relic integration challenges?

See how Tray.ai makes it easy to connect, automate, and scale your workflows.

Challenges Tray.ai solves

Common obstacles when integrating New Relic — and how Tray.ai handles them.

Challenge

NerdGraph API Complexity and NRQL Query Building

New Relic's primary API is NerdGraph, a GraphQL API that requires teams to construct complex nested queries and understand NRQL syntax to extract meaningful data. For engineers who aren't GraphQL specialists, this creates a real learning curve that slows down integration work.

How Tray.ai helps

tray.ai's New Relic connector abstracts common NerdGraph operations into pre-built actions, while the flexible HTTP client lets advanced teams execute raw NerdGraph queries with full variable support. Both low-code users and developers can work with New Relic data without becoming GraphQL experts.

Challenge

Alert Noise and Deduplication at Scale

High-traffic applications can generate hundreds of New Relic alerts per day, overwhelming on-call teams with redundant notifications across Slack, PagerDuty, and email. Without filtering and deduplication logic, engineers spend more time managing alerts than resolving incidents.

How Tray.ai helps

tray.ai workflows can implement conditional logic to filter, deduplicate, and group New Relic alerts before routing them downstream. Teams can define rules based on alert severity, entity tags, time-of-day, or previous alert state to ensure only actionable notifications reach engineers.

Challenge

Connecting Observability Data to Business Context

New Relic captures deep technical telemetry, but mapping that data back to business impact — which customers are affected, what revenue is at risk, which SLAs are threatened — requires pulling data from CRMs, billing systems, and contract databases that New Relic doesn't connect to natively.

How Tray.ai helps

tray.ai bridges New Relic and business systems like Salesforce, HubSpot, and Stripe. When a critical alert fires, workflows can automatically enrich the incident with customer impact data by joining New Relic service tags to customer account records in real time.

Templates

Pre-built New Relic workflows you can deploy in minutes.

New Relic Alert to PagerDuty Incident with Slack Notification

New Relic New Relic
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PagerDuty
Slack Slack

Automatically creates a PagerDuty incident and posts an enriched Slack message with service context whenever a New Relic critical alert fires, then closes the PagerDuty incident when the alert resolves.

CI/CD Deployment Marker Sync to New Relic

New Relic New Relic
GitHub GitHub

Posts a deployment marker to New Relic APM automatically whenever a GitHub Actions workflow completes, tagging the deploy with commit SHA, author, and environment for instant performance correlation.

Weekly SLO Compliance Report to Google Sheets

New Relic New Relic
Google Sheets Google Sheets
Gmail Gmail

Queries New Relic NerdGraph on a weekly schedule to retrieve SLO compliance percentages and error budget remaining for all tracked services, then appends results to a Google Sheet for stakeholder reporting.

New Relic Alert to Jira Bug Ticket with Auto-Assignment

New Relic New Relic
Jira Jira
Slack Slack

Creates a Jira bug ticket automatically when a New Relic alert fires, enriches it with APM data and a link to the relevant New Relic dashboard, and assigns it to the correct team based on the alert's service tag.

New Relic Incident to Statuspage and Customer Email Notification

New Relic New Relic
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Statuspage
HubSpot HubSpot
SendGrid SendGrid

Detects customer-facing service degradations in New Relic and automatically creates a Statuspage incident while triggering a proactive email to affected customers sourced from a CRM segment.

AI-Powered On-Call Incident Brief Builder

New Relic New Relic
OpenAI OpenAI
Slack Slack
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PagerDuty

When a critical New Relic alert fires, automatically queries related traces, error logs, and infrastructure metrics, then generates an AI-written incident summary and posts it to the incident Slack channel.

See New Relic working against your stack.

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