Connectors / Integration
Connect New Relic to Slack: Real-Time Alerts & Incident Notifications Automated
Bring your observability data directly into Slack so engineering teams can detect, triage, and resolve incidents faster.
New Relic + Slack integration
New Relic and Slack are two tools engineering teams can't live without — one gives you deep visibility into application performance, infrastructure, and errors, the other is where your team actually talks. When they run in isolation, critical alerts get buried in dashboards nobody is watching, and incident response pays the price. Integrating New Relic with Slack through tray.ai puts the right signals in front of the right people when it matters.
Engineering and DevOps teams live in Slack, but their monitoring data lives in New Relic. Without a tight integration between the two, on-call engineers are constantly switching contexts, polling dashboards for issues that could already be spiraling. A tray.ai integration fixes this by automatically routing New Relic alerts, anomaly detections, deployment markers, and SLA breach notifications into targeted Slack channels or direct messages. Your team spends less time hunting for problems and more time solving them. Beyond basic alerting, tray.ai handles more complex workflows too — spinning up Slack war-room channels when a P1 fires, tagging the right responders based on service ownership, or posting enriched diagnostic summaries alongside raw alerts so engineers have instant context. The result is faster MTTD and MTTR, less alert fatigue through smarter routing, and a fully auditable incident communication trail inside Slack.
Automate & integrate New Relic + Slack
Automating New Relic and Slack business processes or integrating data is made easy with Tray.ai.
Use case
Real-Time Alert Routing to Slack Channels
When New Relic fires an alert policy — whether for error rate spikes, Apdex degradation, or infrastructure CPU thresholds — tray.ai automatically posts a formatted message to the appropriate Slack channel. Teams can configure routing rules so frontend alerts go to #frontend-ops, database alerts go to #db-team, and so on. No more one-size-fits-all noise flooding a single channel.
- Cuts alert fatigue by routing notifications to the teams who actually own them
- Gives engineers instant visibility without babysitting dashboards
- Reduces mean time to detect (MTTD) with sub-minute alert delivery
Use case
Automated Incident War-Room Channel Creation
When a critical P1 or P2 incident fires in New Relic, tray.ai can automatically create a dedicated Slack channel, invite the relevant on-call engineers and stakeholders, and post the opening incident summary — affected services, error rates, and a direct link to the New Relic diagnostic view. No more manual scramble to set up incident bridges during a high-stress outage.
- Spins up incident channels in seconds without human intervention
- Gets the right responders into the room from the start
- Leaves a permanent, searchable record of every incident response
Use case
Deployment Tracking and Change Intelligence
Every time a deployment marker is recorded in New Relic, tray.ai posts a deployment notification to Slack with details including the deploying team, version, and linked changelog. If New Relic detects a performance regression or error spike shortly after, a follow-up Slack message automatically connects the deploy to the degradation — so bad releases don't stay hidden.
- Creates a real-time deployment changelog visible to the whole team in Slack
- Automatically correlates post-deployment anomalies with specific releases
- Speeds up rollback decisions by surfacing impact data immediately
Use case
SLA and Uptime Breach Notifications
When New Relic detects a service has breached an SLA threshold — availability dropping below 99.9% or response times exceeding agreed limits — tray.ai fires an immediate Slack alert to both the engineering team and relevant business stakeholders. The message includes the affected SLA, current performance metrics, and a link to the live New Relic dashboard.
- Keeps technical and business stakeholders informed in real time
- Catches SLA breaches before they turn into customer complaints
- Provides documented evidence of breach timing for post-incident reviews
Use case
Daily and Weekly Performance Digest to Slack
Rather than requiring engineers to log into New Relic every morning, tray.ai can schedule automated digests that pull Apdex scores, error rates, throughput, and infrastructure health, then post a clean summary to a designated Slack channel. Weekly rollups can go to leadership channels to keep broader teams up to speed on system health.
- Builds a culture of visibility without requiring dashboard logins
- Gives leadership a recurring read on application reliability
- Surfaces trending degradations before they become critical incidents
Use case
Anomaly Detection Alerts with Contextual Enrichment
When New Relic's applied intelligence spots an anomaly — unusual traffic patterns, memory leaks, unexpected throughput changes — tray.ai enriches the Slack alert with historical baselines, recent deployments, and related entity health. Engineers get not just the raw signal but the context they need to prioritize and act.
- Cuts the time spent gathering context during incident triage
- Distinguishes real incidents from benign anomalies using historical data
- Improves signal-to-noise ratio by adding intelligence to raw alerts
Challenges Tray.ai solves
Common obstacles when integrating New Relic and Slack — and how Tray.ai handles them.
Challenge
Alert Noise and Channel Overload
New Relic can generate a high volume of alerts across dozens of policies and conditions. Dumping every notification into a single Slack channel creates noise that causes engineers to tune out entirely, which defeats the whole point.
How Tray.ai helps
tray.ai has conditional routing logic that filters and directs alerts based on severity, service tags, team ownership, and alert policy names. You can send critical alerts to specific team channels, suppress low-priority notifications during off-hours, and deduplicate related alerts into single threaded messages — so Slack stays useful instead of becoming a fire hose.
Challenge
Webhook Payload Complexity and Custom Formatting
New Relic webhook payloads are raw JSON with technical field names that are hard to read in Slack. Without transformation, alert messages land as unformatted data dumps that slow down triage rather than speeding it up.
How Tray.ai helps
tray.ai's data mapping and transformation engine lets teams reshape New Relic webhook payloads into polished Slack Block Kit messages with color-coded severity levels, clear field labels, clickable links, and structured layouts — no custom code required. Teams can update message templates visually and ship changes in minutes.
Challenge
Dynamic On-Call Routing Without Manual Maintenance
Routing alerts to the right engineer means knowing who's currently on call, and that changes constantly. Hardcoding Slack user IDs or channel names goes stale fast and sends alerts to the wrong people.
How Tray.ai helps
tray.ai integrates with on-call scheduling tools and can look up the current on-call responder at alert time, then route the Slack notification accordingly. Alert routing stays accurate as schedules rotate, without anyone touching the integration configuration.
Templates
Pre-built workflows for New Relic and Slack you can deploy in minutes.
New Relic Alert Policy → Slack Channel Notification
New Relic 
Slack Automatically posts a formatted Slack message to a designated channel whenever a New Relic alert policy fires, including the alert name, severity, affected entities, current metric values, and a direct link to the New Relic incident view.
P1 Incident → Auto-Create Slack War-Room Channel
New Relic Slack When a critical P1 incident opens in New Relic, this template automatically creates a dedicated Slack channel, sets the topic with incident details, and invites the relevant on-call engineers and service owners using predefined escalation mappings.
New Relic Deployment Marker → Slack Deploy Announcement
New Relic Slack Posts a Slack notification every time a deployment is recorded in New Relic, then monitors for post-deployment performance changes and sends a follow-up message if an anomaly is detected within a configurable window after the deploy.
Scheduled New Relic Performance Digest → Slack
New Relic Slack Runs on a daily or weekly schedule to pull Apdex scores, error rates, and infrastructure health from New Relic, then posts a formatted digest to a designated Slack channel for team-wide visibility.
New Relic Anomaly Detection → Enriched Slack Alert
New Relic Slack When New Relic Applied Intelligence detects an anomaly, this template enriches the raw signal with recent deployment data and historical baselines before posting a contextual alert to Slack, so engineers can triage faster with less context-switching.
New Relic SLA Breach → Slack Stakeholder Alert
New Relic Slack Monitors New Relic availability and response time metrics against defined SLA thresholds and automatically sends targeted Slack notifications to both engineering channels and executive stakeholder channels when a breach is detected.
How Tray.ai makes this work
New Relic + Slack runs on the full Tray.ai platform
Intelligent iPaaS
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in New Relic and Slack — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose New Relic + Slack actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Ship your New Relic + Slack integration.
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