New Relic took a major step forward at Microsoft Build 2026 in San Francisco this week, detailing a suite of new and enhanced integrations that embed its intelligent observability platform directly into the Microsoft ecosystem. The overarching theme: helping enterprises monitor, debug, and optimize agentic AI workflows running on Azure, GitHub Copilot extensions, and Microsoft Foundry—while making it easier than ever to purchase and manage New Relic through the Azure Marketplace.

The move cements a 14-year partnership between New Relic and Microsoft, evolving from basic infrastructure monitoring into a strategic alliance purpose-built for the era of AI agents. With agentic AI—software that can autonomously plan and execute multi-step tasks—driving the next wave of cloud workloads, the need for deep observability that understands both code and intent has never been sharper.

What’s New at Build 2026

During the conference, New Relic executives demonstrated four key integration vectors, each designed to reduce friction for developers and SRE teams working inside Microsoft’s toolchain.

Deeper Azure Observability with AI-Driven Insights

The flagship announcement centers on a native Azure integration that automatically correlates telemetry from Azure OpenAI Service, Azure Kubernetes Service (AKS), and Azure Functions with New Relic’s AI monitoring capabilities. Teams can now trace an agent’s entire decision chain—from the initial prompt through tool calls and final output—alongside traditional infrastructure metrics, all within a single dashboard. New Relic’s machine learning models flag anomalies like prompt injection attempts, model drift, and unexpected cost spikes without manual threshold setting.

A newly released Azure quickstart template lets developers deploy New Relic agents across an entire Azure subscription in minutes. This includes out-of-the-box dashboards for common agentic patterns such as retrieval-augmented generation (RAG) chains and autonomous ticket resolution bots.

GitHub Copilot Extension: Observability as Code, Generated by AI

In a direct response to the rise of AI-assisted development, New Relic launched a GitHub Copilot extension that turns monitoring into a conversational, code-aware partner. Using natural language, SREs can ask Copilot to generate alerts, dashboards, and synthetic monitors directly inside VS Code or GitHub. For example, typing “Create a NRQL alert that fires when the error rate for the checkout service exceeds 5% over 5 minutes” instantly produces a syntactically correct New Relic configuration, ready to commit.

But the extension goes beyond configuration generation. It can analyze pull requests for potential observability gaps, suggesting missing instrumentation in new code paths—a feature particularly relevant for teams building AI-based microservices that call external tools. New Relic said the extension will also surface runtime performance issues inside Copilot Chat when linked repositories are connected to live telemetry.

Microsoft Foundry: Native AI Gateway Monitoring

New Relic now integrates with Microsoft Foundry, Microsoft’s platform for governing and operating AI agents at scale. Through a dedicated data connector, organizations can stream Foundry’s operational logs—including agent routing decisions, tool usage, and user feedback—into New Relic. This allows companies to build custom dashboards that combine Foundry metadata with full application traces, giving a holistic view of agent performance, cost, and compliance.

New Relic is also adding pre-built AI-powered service level indicator (SLI) monitoring for Foundry-connected agents. Using historical data, the platform automatically establishes latency, throughput, and accuracy baselines, alerting teams when new model deployments or policy changes degrade user experience.

Streamlined Procurement via Azure Marketplace

Rounding out the announcements, New Relic now offers full transactability through the Azure Marketplace with private offers, multi-year reserved capacity pricing, and consolidated billing. Existing Microsoft Azure Consumption Commitment (MACC) spending can be applied toward New Relic subscriptions, a move that financial operations teams will appreciate. The integration also includes a direct link from the Azure portal to a pre-configured New Relic environment, reducing setup time.

Why Agentic AI Demands a New Approach to Observability

Traditional observability tools excel at tracking request flows through static microservice architectures. Agentic AI shatters that model. An AI agent might consult a vector database, invoke a calculator API, browse a web page, and then reason about the results—all within a single logical transaction. The number of possible paths explodes, and failures often stem not from a crashed service but from a poorly reasoned plan or a subtle prompt misalignment.

New Relic’s approach marries three data types: standard telemetry (traces, metrics, logs) from the underlying compute; LLM-specific signals such as token counts, latency, and guardrail violations; and application-level context from tools like GitHub Copilot and Foundry. By analyzing them jointly, the platform can spot patterns like “every time the agent uses the SQL tool after 10 PM, response times degrade” or “this prompt variant reduces hallucinations by 40% but increases cost.”

This intelligence is embedded into what New Relic calls the AI Incident Response pipeline. When an incident involves an AI component, the system automatically enriches the alert with the most recent prompt, the relevant model version, and a git blame link for the integration point—collapsing a multi-team investigation from hours to minutes.

Real-World Impact for Windows and Azure Shops

Windows enthusiasts and enterprise IT teams building on Azure stand to benefit immediately. The quickstart templates and Copilot extension are tailored for Windows-based development environments, including full compatibility with Visual Studio 2022 and the Azure SDK for .NET. Developers can stay entirely within the Microsoft ecosystem while gaining end-to-end visibility into their AI workloads—no context switching to standalone observability tools.

For Windows administrators managing hybrid environments, the Azure Marketplace integration simplifies licensing. Teams can provision New Relic with the same Azure Resource Manager templates they use for VMs and databases, and manage costs through Microsoft Cost Management. New Relic confirmed that its agents support Windows Server 2025 and Windows 11 with performance parity to Linux deployments, addressing a long-standing gap in some observability tools.

The GitHub Copilot extension is particularly relevant for Windows developers using C# and TypeScript to build AI orchestration logic. By encoding observability best practices into the Copilot suggestions, New Relic aims to prevent the common pattern where teams launch agents with minimal instrumentation, only to realize they have no way to debug failures when prompts go awry.

Community and Analyst Reactions

Early responses from Build 2026 attendees have been positive, with many pointing to the Foundry integration as closing a critical gap. Prior to this, companies deploying agents via Foundry had to stitch together logs manually to understand cross-agent performance. Now, a single New Relic dashboard can show a “chain of thought” waterfall, making it possible to pinpoint which reasoning step caused a timeout or cost overrun.

Some analysts caution that the value of these integrations depends heavily on adoption of the Copilot extension and Foundry connector. “New Relic is betting that Microsoft shops want an observability layer that speaks their language—literally, through Copilot,” said one industry observer. “If developers adopt the extension en masse, it could become a moat that other observability vendors find hard to cross.”

Concerns around data privacy and model telemetry were also raised in Q&A sessions. New Relic clarified that all LLM monitoring data can be scrubbed of personally identifiable information (PII) using custom rules before leaving a customer’s Azure tenant, and that the platform supports Azure Private Link for traffic isolation.

Looking Ahead

New Relic hinted that future builds will bring tighter Azure AI Agent Service integration and support for Microsoft’s upcoming autonomous workflow orchestrator, codenamed Project Bonsai. The company also committed to publishing reference architectures for common agentic patterns—think customer service bots, procurement agents, and code review assistants—complete with pre-built dashboards and alert configurations.

For the Windows ecosystem, this means observability is no longer an afterthought when building AI features. Whether you’re a .NET developer prototyping a RAG pipeline or an enterprise architect deploying fleets of agents on AKS, New Relic now offers a unified lens that spans from code commit (via Copilot) to production (via Foundry and Azure), with billing that fits neatly into your Microsoft spend.

Microsoft Build 2026 has made one thing clear: the era of agentic AI demands a new class of tools. New Relic’s latest moves position it as the observability backbone for that next chapter, helping teams keep their autonomous agents—and their Azure bills—under control.