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Streamline and improve SDLC with New Relic Agentic Integration

New Relic’s Intelligent Observability Platform uses best-in-class Agentic AI that integrates with GitHub Copilot, to speed up RCA, MTTR and improve code quality.

Today’s enterprises deal with more system disruptions and incidents than ever before; 80% due to changes in services and code.

New Relic’s Intelligent Observability Platform uses best-in-class Agentic AI that integrates with GitHub Copilot, to speed up RCA, MTTR and improve code quality to eliminate risk and streamline your deployment cycles.

New Relic is a comprehensive observability platform that delivers full-stack visibility into applications, infrastructure, logs, metrics, traces, and user experiences. Founded in 2008, New Relic empowers engineering, DevOps, and SRE teams to monitor performance, detect issues proactively, and optimize software delivery in complex, distributed environments. Its AI-powered insights help reduce mean time to resolution (MTTR), improve reliability, and accelerate innovation across cloud, on-premises, and hybrid setups.

Azure DevOps, Microsoft’s end-to-end DevOps solution, streamlines planning, coding, building, testing, and deploying applications with integrated tools like Azure Repos, Pipelines, Boards, and Artifacts. As teams scale CI/CD practices on Azure DevOps, correlating pipeline events with application and infrastructure telemetry becomes critical for identifying bottlenecks, understanding deployment impacts, and maintaining high-velocity delivery without sacrificing stability.

New Relic and Azure DevOps connect through community-driven and custom integrations, enabling teams to bring DevOps workflow data into New Relic’s unified observability platform. This combination provides deeper context for troubleshooting, performance analysis, and continuous improvement.

How the Integration Works

New Relic does not offer a native, out-of-the-box tile for Azure DevOps like some other tools, but robust connectivity is achieved via:

  • Service Hooks and Webhooks — Configure Azure DevOps service hooks to send events (e.g., build completed, release deployed, work item updated) to New Relic via custom endpoints or third-party automation.
  • Azure Functions and Service Bus — New Relic maintains an open-source project on GitHub (newrelic/newrelic-azure-devops-statistics) that uses serverless Azure Functions and Azure Service Bus to ingest build, release, and ticket data from Azure DevOps. This forwards structured events and metrics to New Relic for analysis.
  • Custom Event Ingestion — Push deployment notifications, pipeline metrics, and change events directly to New Relic using its APIs. This enables automatic change tracking, where deployments are overlaid on performance graphs.
  • Third-Party Automation — Tools like Zapier or Pipedream facilitate no-code/low-code workflows to trigger New Relic actions (e.g., mark deployments) from Azure DevOps events.

Once integrated, New Relic ingests data such as build durations, success/failure rates, release statuses, and associated commit or work item details.

Key Features and Benefits

The New Relic-Azure DevOps combination delivers powerful capabilities for modern DevOps teams:

  • Change Tracking and Deployment Visibility — Automatically correlate Azure DevOps deployments with application performance metrics. See how a release impacts golden signals (latency, errors, traffic, saturation) in real time, enabling faster incident response and confident rollouts.
  • CI/CD Pipeline Insights — Monitor build and release trends, durations, failure patterns, and resource usage. Identify slow stages or flaky tests to optimize pipeline efficiency and developer productivity.
  • Full-Stack Correlation — Link pipeline events to downstream effects: trace a failed deployment to spikes in errors, latency in services, or infrastructure issues across Azure resources.
  • Dashboards and Alerts — Build custom dashboards in New Relic to visualize DORA metrics (deployment frequency, lead time for changes, change failure rate, time to restore service) alongside Azure DevOps data. Set intelligent alerts on pipeline health or post-deployment anomalies.
  • AI-Powered Context — Leverage New Relic’s AI capabilities (including recent agentic integrations with Azure) to analyze changes, suggest root causes, and automate diagnostics—especially valuable when combined with Azure’s broader ecosystem.
  • Broader Azure Synergy — Through the Azure Native New Relic Service (available in the Azure Marketplace), teams provision and manage New Relic directly in Azure Portal. This provides seamless billing, auto-monitoring of Azure resources, and tight integration with Azure Monitor—enhancing visibility when Azure DevOps pipelines deploy to Azure services.

Real-World Impact

Teams using this setup gain end-to-end observability: from code commit in Azure Repos, through pipeline execution in Azure Pipelines, to production impact monitored in New Relic. For example, engineering leaders can track deployment velocity and stability, while SREs correlate pipeline failures with application telemetry to prevent regressions. In high-scale environments, this reduces toil, shortens feedback loops, and supports proactive optimization—aligning with DevOps best practices like shift-left monitoring and blameless post-mortems.

New Relic’s deep Microsoft partnership—including Azure-native provisioning, multi-year commercial agreements, and recent AI-enhanced integrations (e.g., with Azure SRE Agent)—strengthens the ecosystem. Azure-centric organizations benefit from unified billing, streamlined onboarding, and consistent telemetry across DevOps tools and cloud resources.

In an era of rapid software delivery, combining Azure DevOps with New Relic transforms raw pipeline data into actionable intelligence. Teams ship more frequently, with greater confidence and fewer incidents, while gaining a single source of truth for performance and reliability.

For setup guidance, explore New Relic’s DevOps monitoring resources at newrelic.com/devops, the Azure Native New Relic Service docs on Microsoft Learn, or the open-source Azure DevOps integration repo on GitHub. Many start with a free trial to instrument pipelines and see immediate value.

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