New Relic Kubernetes Monitoring and Analytics is a powerful tool that allows you to monitor and analyze your Kubernetes applications in real-time.
With New Relic, you can gain visibility into your Kubernetes environment, including containerized applications, clusters, and nodes. This allows you to quickly identify and troubleshoot issues.
New Relic's Kubernetes monitoring capabilities include metrics on CPU usage, memory usage, and network traffic, among other things. This data is collected from your Kubernetes cluster and displayed in a user-friendly dashboard.
By using New Relic, you can reduce the time it takes to troubleshoot and resolve issues, and improve the overall performance and reliability of your Kubernetes applications.
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Setting Up
Setting up New Relic for Kubernetes is a straightforward process that requires a few steps.
To get started, you'll need to understand the benefits of using New Relic for Kubernetes, which include gaining visibility into resource utilization, application performance, and overall health of your Kubernetes environment.
New Relic offers a robust monitoring solution that can provide valuable insights into the performance and health of your Kubernetes cluster.
The installation process is relatively easy, and with New Relic, you can identify bottlenecks, optimize resource allocation, and improve the overall reliability of your applications.
By following the installation process, you'll be able to see how New Relic can help you optimize resource utilization and improve application performance in your Kubernetes environment.
Understanding New Relic
New Relic is a performance monitoring and management tool that gives organizations real-time visibility into their applications and infrastructure.
It helps identify performance bottlenecks and track system health, which is crucial in ensuring optimal application performance.
New Relic enhances overall application performance by providing insights into system health and identifying areas for improvement.
What Is?
What Is New Relic?
New Relic is a performance monitoring and management tool that gives organizations real-time visibility into their applications and infrastructure.
It helps identify performance bottlenecks and track system health, which is crucial for enhancing overall application performance.
New Relic essentially acts as a control plane for monitoring, but it's not a control plane that manages the scheduling, scaling, and monitoring of containers, that's what Kubernetes does.
Kubernetes is an open-source container orchestration platform that automates container deployment, scaling, and management, providing a robust, scalable, and flexible infrastructure for running and managing applications in a distributed environment.
New Relic complements Kubernetes by providing the visibility and insights needed to optimize application performance, ensuring that applications are running efficiently, even in complex distributed environments.
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Viewing Traces
New Relic provides a comprehensive overview of Distributed Tracing, giving you a clear understanding of how your application's performance is affected by its components.
You can view detailed information about each trace, including the timeline of events and the interactions between different services.
To gain a deeper understanding of your application's behavior, you can view traces in New Relic. This allows you to see how requests flow through your system and identify areas for improvement.
The New Relic Distributed Tracing overview provides a high-level view of your application's performance, while the Distributed Tracing details show you the nitty-gritty of what's happening at each step.
Nrql
New Relic's SQL-like query language, NRQL, is a powerful tool for retrieving detailed data and insights into your applications, hosts, and business-important activity. It's similar to SQL, but tailored for New Relic's data.
With NRQL, you can query data using the Explorer feature, which allows you to browse data and switch to the Query builder for more complex queries. This feature is especially useful for retrieving specific data, like all the pods that are not in the Running state.
To query data, you can use the Query builder to write NRQL queries. For example, the query `SELECT podName FROM K8sPodSample WHERE clusterName =’my-cluster’ and status != ‘Running’` will return all the pods that are not in the Running state in the specified cluster.
You can also use NRQL to count the number of pods that are not in the Running state, as seen in the query `$SELECT count(*) FROM K8sPodSample WHERE clusterName =’my-cluster’ and status != ‘Running’`.
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Utilizing Dashboard Features
New Relic provides powerful dashboarding capabilities that allow organizations to visualize and analyze data from their Kubernetes environments. This enables teams to gain insights into the overall health, performance, and resource utilization of their Kubernetes clusters.
With New Relic’s customizable dashboard features, organizations can monitor metrics that are critical to their specific use cases. This facilitates efficient troubleshooting and decision-making.
New Relic’s dashboard sharing functionality promotes collaboration and transparency within teams. Sharing relevant dashboards with stakeholders across different departments fosters a data-driven culture.
By creating custom dashboards, teams can visualize and analyze data from their Kubernetes environments. This helps identify performance bottlenecks and track system health.
New Relic’s dashboard features enable organizations to gain deep insights into their Kubernetes clusters. This is in addition to its basic monitoring capabilities.
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Configuring New Relic
To configure New Relic, you need to set up tracing by configuring Dapr to send traces to New Relic's Trace API using the Zipkin trace format. This allows you to export metrics and traces directly to New Relic.
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You'll also need a New Relic Insights Insert API key to enable the integration to send data to New Relic Telemetry Data Platform. This key is required for the integration to work properly.
By following these steps, you can start collecting and sending metrics, logs, and events to the New Relic platform for analysis. The New Relic Kubernetes integration makes this process seamless, allowing you to start monitoring your Kubernetes environment with minimal effort.
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Installation Process
To get started with configuring New Relic, you'll need to follow the installation process, which involves deploying the New Relic Kubernetes integration.
This integration automatically collects and sends metrics, logs, and events to the New Relic platform for analysis.
By following the step-by-step installation guide provided by New Relic, you can quickly start monitoring your Kubernetes environment.
The guide walks you through the process of deploying the New Relic infrastructure agent and configuring the necessary settings to start collecting data.
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Configure Dapr Tracing
To configure Dapr tracing, you need to capture metrics and traces that can be sent directly to New Relic. Dapr natively captures this data.
The easiest way to export these traces is by configuring Dapr to send them to New Relic's Trace API using the Zipkin trace format. This is a straightforward process.
You'll need a New Relic Insights Insert API key to send data to New Relic's Telemetry Data Platform. This key is essential for the integration to work correctly.
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Language Agent
New Relic offers a language agent that can be leveraged similarly to OpenTelemetry instrumentation.
You can use the New Relic language agent to gain insights into your application's performance.
The New Relic agent instrumentation for .NET Core is part of the Dockerfile, as seen in an example.
This allows you to easily integrate New Relic with your .NET Core application.
Viewing and Analyzing Data
Viewing and Analyzing Data is a crucial step in monitoring your New Relic Kubernetes setup. You can view traces in New Relic Distributed Tracing overview.
To get started, you can access New Relic Distributed Tracing details. This will give you a comprehensive view of your distributed systems.
With New Relic, you can analyze your data in real-time, identifying performance bottlenecks and areas for improvement. New Relic Distributed Tracing provides detailed information about each transaction.
You can drill down into specific transactions to see exactly what's happening, and get insights into latency and error rates. This helps you pinpoint issues quickly and make data-driven decisions.
New Relic's user-friendly interface makes it easy to navigate and analyze your data. You can filter and group your data to focus on specific areas of interest.
By regularly reviewing your data, you can optimize your Kubernetes setup for better performance and scalability. New Relic helps you make the most of your Kubernetes environment.
Alerts and Notifications
New Relic Alerts allow you to set up alerts and notifications on the preferred channel of your choice, using data collected from Dapr, Kubernetes, or any services that run on top of them.
To set up alerts, you need a notification channel to send alerts. Click on create alert option below the query, enter condition name, and modify your query to return an integer value.
A violation does not mean that an alert is triggered, but rather a condition that opens if the query returns a value above 1 for at least 5 minutes. You can choose the Kubernetes default alert policy from the existing policy.
Create a new channel to receive alert by clicking on Explorer -> Alerts & AI -> Alerts(classic) -> Channels, then select any channel you want to receive notification on, such as Email.
You can add details and click on Create channel. Once you click on Create channel, you will see an option of Send a test notification, Click on it and you will receive an email notification on the email ID.
To link policy with notification channel, switch to Alert policies from the top and add Kubernetes default alert policy to this notification channel. This means all the alert conditions with this policy now have a channel to send a notification to.
Setting up alert escalations can help ensure that the right personnel are notified at the appropriate times, reducing response times and minimizing potential downtime.
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Sources
- https://docs.dapr.io/operations/observability/tracing/newrelic/
- https://docs.newrelic.com/docs/kubernetes-pixie/kubernetes-integration/get-started/introduction-kubernetes-integration/
- https://medium.com/@rana.ash1997/monitor-kubernetes-cluster-using-new-relic-53140d41a935
- https://www.techtarget.com/searchitoperations/tip/How-to-integrate-and-monitor-Kubernetes-with-New-Relic
- https://matoffo.com/new-relic-kubernetes-monitoring-best-practices/
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