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New Relic launches simplified Kubernetes observability with AI-driven insights and automatic instrumentation

New Relic launches one-step observability for Kubernetes, offering AI insights and automated monitoring for faster incident resolution and improved productivity.

New Relic has introduced a new observability solution aimed at simplifying how developers monitor Kubernetes, the widely used open-source system for managing containerised applications. With its one-step observability feature, New Relic addresses the common challenges developers face in managing dynamic Kubernetes environments. The solution automates Application Performance Management (APM) integration with Kubernetes deployments, eliminating the need for complex configurations. Combined with AI-enhanced insights and ready-to-use dashboards, this solution enables faster incident resolution, improving productivity for developer teams.

As Kubernetes becomes central for companies adopting microservices and containerised architectures, New Relicโ€™s offering is timely, supporting organisations in achieving quicker and more efficient Kubernetes management. Kubernetes assists developers by automating the scaling of containers, but achieving full observability across applications and clusters has typically required additional setup. Until now, developer and platform teams often needed to install separate integrations for APM and Kubernetes, which could be time-consuming and cumbersome.

With New Relicโ€™s solution, this complexity is removed. The new tool provides seamless APM instrumentation for Kubernetes environments, delivering insights strengthened by artificial intelligence.

Improved performance visibility and productivity for developers

The New Relic platform offers full visibility across applications and Kubernetes workloads, allowing developer teams to detect and address issues more swiftly. This capability is expected to boost uptime, reliability, and performance, leading to higher customer satisfaction and greater business revenue. The simplified observability solution also frees developers to focus more on innovation rather than spending time monitoring complexities.

The platformโ€™s core features make Kubernetes management more efficient and accessible, even for users with varying levels of technical expertise, thanks to AI-powered insights. Key features include:

  • One-step instrumentation: Automates APM integration with Kubernetes deployments, allowing teams to implement rapid instrumentation without code changes, streamlining management across departments.
  • AI-driven insights: The platform includes pre-configured Kubernetes dashboards and alert systems, along with troubleshooting tools, enabling teams to view applications and Kubernetes data on a single interface. This unified view accelerates performance issue identification and resolution.
  • Native support for OpenTelemetry (OTel) and Prometheus: By supporting OTel-instrumented Kubernetes clusters and Prometheus-instrumented hosts, New Relic minimises data fragmentation and observability blind spots. This integrated approach provides rapid onboarding, correlation, and AI-backed insights via a unified UI.
  • Democratising observability with AI: With New Relic AI, users across skill levels can access insights using natural language prompts. This feature makes observability tools accessible to everyone, encouraging wider adoption of observability practices within organisations.

Manav Khurana, Chief Product Officer at New Relic, commented on the companyโ€™s approach, saying, โ€œModern organisations are embracing Kubernetes to drive innovation and efficiency gains, but this often comes with trade-offs in performance management. New Relic simplifies observability workloads for Kubernetes environments so that developer and platform teams can more easily monitor their stacksโ€”all with intelligent insights driven by our AI-strengthened Intelligent Observability platform.โ€

By linking APM and Kubernetes monitoring through one-step observability, New Relicโ€™s latest solution is expected to enhance performance management and accelerate organisational incident response times.

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