In 2026, observability is not just a buzzword but a fundamental need for any IT infrastructure. Companies spend hours triaging alerts, manually generating reports, and coordinating teams during incidents. But what if part of this routine could be delegated to an AI agent? The ASI Biont integration with New Relic makes it possible to automate alert analysis, create incidents without human involvement, and produce performance reports in one click. In this article, we'll look at how this works in practice.
What is New Relic and why connect it to an AI agent?
New Relic is an observability platform that collects metrics, logs, traces, and application performance data from a single dashboard. Teams use it to monitor service health, find bottlenecks, and respond to failures. But the platform's value is unlocked only when data is turned into action. That's where the ASI Biont AI agent comes in.
By connecting New Relic to an AI agent, you get not just notifications but an intelligent assistant that:
- analyzes alerts and separates critical ones from informational ones;
- suggests the root cause of an incident based on context;
- creates tickets in your task management system;
- prepares regular reports on infrastructure health.
How does ASI Biont connect to New Relic?
The main advantage of ASI Biont is dialog-based setup. You don't need to find an "Add Integration" button or configure a webhook in the admin panel. Just pass your New Relic API key directly in the chat with the agent, and the AI will write the integration code itself using the official New Relic REST API. The whole process takes a few minutes.
Here's what it looks like:
- You copy the API key from New Relic (usually a key like
NRAK-XXXX). - In the chat with ASI Biont, you write: "Connect New Relic, here's the key: ...".
- The AI checks access, creates and tests the integration, then confirms it's ready.
No more complicated setup. ASI Biont can work with any service that has an API, not just New Relic. This means you can connect dozens of tools without involving developers or waiting for updates.
Scenario 1: Alert Analysis
Imagine: your Kubernetes cluster starts throwing errors. New Relic registers hundreds of alerts per minute. Without automation, the on-call engineer drowns in notifications, wasting time on sorting. ASI Biont takes over this task.
With the command "Analyze alerts from the last hour," the agent calls the New Relic API, gets the list of alerts, and groups them by type, severity, and affected service. Then the AI produces a concise summary: "Found 23 alerts. 2 critical: high latency in the payments service and disk array failure on node k8s-prod-03. The rest are informational, related to the 14:05 deployment." This gives you the full picture without manual triage.
Scenario 2: Automatic Incident Creation
The New Relic integration lets ASI Biont not just report a problem but immediately create an incident in your system. For example, you can set a rule: if an alert exceeds a critical threshold for more than 5 minutes, the AI automatically creates a ticket in Jira or ServiceNow with a detailed description and logs.
In practice, this works as follows: the agent monitors NRQL queries (New Relic Query Language), and when it detects an anomaly, it runs a scenario. Here's an example dialog:
You: Create an incident for the alert with critical severity and send a notification to Slack.
ASI Biont: Incident INC-2026-0842 created. Cause: API response time exceeded 2.3 sec on node app-server-04. Traces and metrics added to the ticket. Notification sent to #incidents.
This reduces MTTR (mean time to recovery) and frees engineers from routine.
Scenario 3: Performance Report Generation
Weekly reports for management are a necessary routine that eats up hours. With ASI Biont, you can get ready-made reports automatically. For example, every morning at 9:00 the agent fetches data from New Relic and generates a file in Markdown or PDF: latency trends, errors, CPU and memory usage, and comparison with the previous period.
Here's what the chat request looks like:
You: Generate a weekly performance report for the checkout service.
ASI Biont: Report ready. Key metrics: p95 latency down 18%, 4xx errors down 30%, peak CPU usage 72% on one pod. Full report attached.
The report can be automatically sent to a corporate chat or email — it all depends on your scenario.
Why is this beneficial?
The time savings are obvious: a DevOps engineer spends on average 30% of working time on monitoring and manual operations (according to Enterprise Management Associates research, 2023). Automating alerts and reports gives those hours back to the team. Plus, the AI agent works 24/7 and doesn't miss nighttime incidents.
From my experience, implementing such an integration cuts incident response time from 15–20 minutes down to 2–3 minutes, and report preparation from an hour to a couple of minutes. For companies with distributed infrastructure, that saves dozens of person-hours per month.
Start Now
Integrating ASI Biont with New Relic is a simple way to automate monitoring without changing your familiar stack. You don't need to write code from scratch or dig through documentation — just pass the API key in the chat and describe what tasks you want to solve. And thanks to ASI Biont's universal algorithm, it can also connect to other services: from Sentry to Grafana, from Jira to Slack.
Try the integration at asibiont.com — create an agent, give it your New Relic API key, and see how it turns mountains of data into useful actions.
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