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Monitoring and Analyzing Kubernetes Metrics with Thanos

I want to help someone understand the project and code-base for thanos-io/thanos.

Create a long version step-by-step example/demo that covers the following scenario:

Title: Monitoring and Analyzing Kubernetes Metrics with Thanos

Scenario: A developer wants to monitor and analyze Kubernetes metrics using Thanos.

Solution: Thanos provides a scalable and flexible solution for monitoring and analyzing Kubernetes metrics. By integrating Thanos with Prometheus, the developer can collect and store Kubernetes metrics in Thanos sidecars. Thanos offers efficient querying and indexing capabilities, enabling the developer to quickly identify trends and anomalies in their Kubernetes environment.

Important:

  • The scenario should be a real-world example that someone would encounter. Expand the above scenario and solution if needed.

  • The solution should be a clear and concise explanation of how to solve the scenario. Be sure to include code examples and explanations. Make it as complex as required.

  • NEVER explain installation or deployment.

  • The project is installed and reader familiar with the basics of the project. Do not explain how to install Prerequisites

  • Don't make anything up.

  • Don't share your reasoning

  • IMPORTANT: DON'T DUPLICATE ANYTHING

As part of this, give a set of Tests to verify the answer.

Use the following to help you structure the scenario:

  • https://grafana.com/solutions/kubernetes/kubernetes-monitoring-introduction: Monitor Kubernetes Kubernetes monitoring introduction Kubernetes monitoring introduction Kubernetes has transformed how modern operations teams deploy and scale applications. Although Kubernetes has made it much simpler to utilize containers in production, this doesn’t negate the need for a robust monitoring system that lets you interrogate the state of your systems. Kubernetes monitoring is essential so you can track performance metrics, audit changes to deployed environments, and retrieve logs that help debug application crashes. Troubleshooting Kubernetes without a monitoring solution is tedious and error-prone, allowing problems to escalate as they often go unnoticed. We’ll cover the basics of monitoring Kubernetes clusters and explain how to maximize the visibility of your workloads by identifying key opportunities to collect Kubernetes metrics. This will enable earlier error}

  • https://opensource.com/article/20/2/kubernetes-opencensus: An introduction to monitoring with Prometheus

Prometheus is a popular and powerful toolkit to monitor Kubernetes. This is a tutorial on how to get started.

Yuri Grinshteyn

November 6, 2019

Introducing the guide to getting started with Kubernetes

Download our new Kubernetes eBook by expert Scott McCarty.

Lauren Pritchett

(Team, Red Hat)

October 3, 2019

Tags

Kubernetes

Yuri Grinshteyn

Yuri Grinshteyn works at Google Cloud in San Francisco, where he helps customers architect and build for reliability and observability. He cheers out loud whenever someone mentions SLOs. More about me

Comments are closed.

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  • https://komodor.com/learn/kubernetes-monitoring-a-practical-guide: Kubernetes monitoring is the process of monitoring the health and performance of a Kubernetes cluster and the applications running on it. This includes collecting metrics and logs, detecting and alerting on issues, and visualizing the state of the cluster and applications.

 

Kubernetes monitoring tools typically use various data sources, such as Kubernetes APIs, application logs, and infrastructure metrics, to provide insights into the health and performance of a cluster and its components. Effective monitoring is critical for ensuring the reliability and availability of Kubernetes-based applications.

The Benefits of Kubernetes Monitoring}

  • https://grafana.com/solutions/kubernetes/kubernetes-monitoring-introduction: minimizing the amount of code you need to write. Taking the time to instrument your workloads strengthens observability by letting you analyze performance at the application level. It’s ultimately the time required to process application functions that matters most to users, not absolute CPU consumption or cluster utilization. Tracking trends in business-specific measurements uncovers opportunities to improve the user experience and lets you spot emerging performance issues before they become a node-level or cluster-level problem. Conclusion Kubernetes has more moving parts than traditional deployment solutions, and requires a fresh approach to monitoring and observability. Beyond basic logging, application health, and resource utilization metrics, you also need to assess the performance of the individual components within the Kubernetes control plane. In this article, we’ve looked at}

  • https://sweetcode.io/monitoring-application-performance-in-kubernetes-a-primer: Monitoring Application Performance in Kubernetes: A Primer

733 VIEWS

by Chris Tozzi

3 years ago

In Monitoring and Observability

kubernetes · Market Guide · splunk

One of the first things you’ll learn when you start managing application performance in Kubernetes is that doing so is, in a word, complicated. No matter how well you’ve mastered performance monitoring for conventional applications, it’s easy to find yourself lost inside a Kubernetes cluster.

Not only are there more layers to monitor in the context of Kubernetes, but simply getting at the data you need can be a lot more challenging as well, given the way application data is hidden within Kubernetes clusters.}

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  • https://kubernetes.io/blog/2017/05/kubernetes-monitoring-guide: This article is more than one year old. Older articles may contain outdated content. Check that the information in the page has not become incorrect since its publication. Kubernetes: a monitoring guide Friday, May 19, 2017 Today’s post is by Jean-Mathieu Saponaro, Research & Analytics Engineer at Datadog, discussing what Kubernetes changes for monitoring, and how you can prepare to properly monitor a containerized infrastructure orchestrated by Kubernetes. Container technologies are taking the infrastructure world by storm. While containers solve or simplify infrastructure management processes, they also introduce significant complexity in terms of orchestration. That’s where Kubernetes comes to our rescue. Just like a conductor directs an orchestra, Kubernetes oversees our ensemble of containers—starting, stopping, creating, and destroying them automatically to keep our applications}

  • https://github.com/robusta-dev/krr: About

    Prometheus-based Kubernetes Resource Recommendations
    

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  • https://kubernetes.io/blog/2017/05/kubernetes-monitoring-guide: of our series on Kubernetes monitoring guides you through all the data that needs to be collected and tracked. Collecting these metrics Whether you want to track these key performance metrics by combining Heapster, a storage backend, and a graphing tool, or by integrating a monitoring tool with the different components of your infrastructure, Part 3 , about Kubernetes metric collection, has you covered.   Anchors aweigh! Using Kubernetes drastically simplifies container management. But it requires us to rethink our monitoring strategies on several fronts, and to make sure all the key metrics from the different components are properly collected, aggregated, and tracked. We hope our monitoring guide will help you to effectively monitor your Kubernetes clusters. Feedback and suggestions are more than welcome.   --Jean-Mathieu Saponaro, Research & Analytics Engineer, Datadog Get involved}

  • https://komodor.com/learn/kubernetes-monitoring-a-practical-guide: Kubernetes monitoring tools are software programs that help monitor the health and performance of Kubernetes clusters, including the nodes, pods, and containers running within them. These tools provide visibility into key metrics such as CPU and memory usage, network activity, and application performance, and can help identify issues and troubleshoot problems in real-time.

Kubernetes monitoring tools are essential for maintaining the health and performance of modern cloud-native applications, and can help DevOps teams identify issues and optimize performance in real-time.

Kubernetes Monitoring Best Practices 

Monitor the End-User Experience}

  • https://sweetcode.io/the-delicate-art-of-monitoring-kubernetes: If you were to utilize traditional monitoring tools to monitor Kubernetes deployments, you would quickly find out that they can’t handle that type of complexity. This is why the market has shifted toward observability solutions that can map the complex relationships between the various parts of an application and the infrastructure on which it runs. Kubernetes has revolutionized the way applications are architected and run, but it has also revolutionized the way application performance must be tracked and managed.}