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New Relic Announces One-Step Observability for Kubernetes

New Relic announced one-step observability for Kubernetes, addressing key monitoring challenges developers face in managing dynamic Kubernetes environments.

New Relic automatically instruments APM with Kubernetes deployments, eliminating the need for additional configurations. It provides AI-strengthened insights and out-of-the box dashboards and views to manage Kubernetes workloads faster—ultimately speeding up incident resolution and improving developer productivity.

New Relic offers intelligent observability that automatically instruments APM with Kubernetes while providing AI-strengthened insights.

New Relic provides complete visibility across applications and Kubernetes workloads, enabling teams to quickly identify and resolve issues. This results in maximum uptime, reliability, and performance—boosting customer satisfaction and ultimately driving revenue for the business.

Key features and benefits include:

- One-step instrumentation: Enables rapid instrumentation and simplified management across teams by automating APM instrumentation with Kubernetes deployments—eliminating the need for code changes.

- AI-strengthened out-of-the-box insights: Pre-configured Kubernetes UI, alerts, and troubleshooting capabilities allows teams to correlate application and Kubernetes data on a unified interface to quickly identify and resolve performance issues.

- Native support for OpenTelemetry (OTel) and Prometheus: Unifies OTel-instrumented Kubernetes clusters and Prometheus-instrumented hosts alongside all telemetry data to eliminate fragmentation and blind spots and facilitate rapid onboarding, automated correlation, and out-of-the-box insights within a native UI.

- Democratize observability with New Relic AI: Users of any role or skill level can easily access insights and take action through natural language prompts, making observability accessible to all.

“Modern organizations are embracing Kubernetes to drive innovation and efficiency gains, but this often comes with trade-offs in performance management,” New Relic Chief Product Officer Manav Khurana. “New Relic simplifies observability workloads for Kubernetes environments so that developer and platform teams can more easily monitor their stacks—all with intelligent insights driven by our AI-strengthened Intelligent Observability platform.”

New Relic one-step observability for Kubernetes is available to all customers.

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New Relic Announces One-Step Observability for Kubernetes

New Relic announced one-step observability for Kubernetes, addressing key monitoring challenges developers face in managing dynamic Kubernetes environments.

New Relic automatically instruments APM with Kubernetes deployments, eliminating the need for additional configurations. It provides AI-strengthened insights and out-of-the box dashboards and views to manage Kubernetes workloads faster—ultimately speeding up incident resolution and improving developer productivity.

New Relic offers intelligent observability that automatically instruments APM with Kubernetes while providing AI-strengthened insights.

New Relic provides complete visibility across applications and Kubernetes workloads, enabling teams to quickly identify and resolve issues. This results in maximum uptime, reliability, and performance—boosting customer satisfaction and ultimately driving revenue for the business.

Key features and benefits include:

- One-step instrumentation: Enables rapid instrumentation and simplified management across teams by automating APM instrumentation with Kubernetes deployments—eliminating the need for code changes.

- AI-strengthened out-of-the-box insights: Pre-configured Kubernetes UI, alerts, and troubleshooting capabilities allows teams to correlate application and Kubernetes data on a unified interface to quickly identify and resolve performance issues.

- Native support for OpenTelemetry (OTel) and Prometheus: Unifies OTel-instrumented Kubernetes clusters and Prometheus-instrumented hosts alongside all telemetry data to eliminate fragmentation and blind spots and facilitate rapid onboarding, automated correlation, and out-of-the-box insights within a native UI.

- Democratize observability with New Relic AI: Users of any role or skill level can easily access insights and take action through natural language prompts, making observability accessible to all.

“Modern organizations are embracing Kubernetes to drive innovation and efficiency gains, but this often comes with trade-offs in performance management,” New Relic Chief Product Officer Manav Khurana. “New Relic simplifies observability workloads for Kubernetes environments so that developer and platform teams can more easily monitor their stacks—all with intelligent insights driven by our AI-strengthened Intelligent Observability platform.”

New Relic one-step observability for Kubernetes is available to all customers.

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In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

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In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
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In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

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