Infra Monitoring Archives - Euphoric Thought: IT Solutions and Services Provider in India https://www.euphoricthought.com/category/infra-monitoring/ Product Development - Devops - Cloud - Data Engineering Mon, 07 Oct 2024 06:51:41 +0000 en-US hourly 1 https://wordpress.org/?v=6.7 /wp-content/uploads/2023/02/cropped-favicon-logo-32x32.png Infra Monitoring Archives - Euphoric Thought: IT Solutions and Services Provider in India https://www.euphoricthought.com/category/infra-monitoring/ 32 32 Developed An Intuitive Cloud Monitoring System For A Leading API Platform For Creator https://euphoricthought.com/developed-an-intuitive-cloud-monitoring-system-for-a-leading-api-platform-for-creators/ Mon, 29 Jan 2024 12:41:08 +0000 https://www.euphoricthought.com/?p=3152 The post Developed An Intuitive Cloud Monitoring System For A Leading API Platform For Creator appeared first on Euphoric Thought: IT Solutions and Services Provider in India.

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CHALLENGES
The client’s key issue was monitoring, assessing, and troubleshooting system behaviours and performance. System availability and user experience were being significantly impacted by the lack of visibility, which was delaying the identification and resolution of problems.

SOLUTIONS
Euphoric implemented a comprehensive strategy for centralized monitoring of multiple Kubernetes clusters across AWS accounts using Prometheus, Alert Manager, and Grafana. Prometheus was used to manage metrics from clusters, while Grafana was used for creating dashboards to display performance and resources. The system restricted access to sensitive environments, while the Alert manager centralized Prometheus data and provided centralized alert rules for DevOps teams to address issues in different Kubernetes clusters.

BENEFITS
Centralized monitoring dramatically improved the client’s operational visibility across their AWS EKS clusters. This gave their teams the ability to proactively identify and troubleshoot potential issues, leading to increased system reliability and availability. It also provided valuable insights into system performance and user behaviour, enabling informed decision-making and optimization efforts.

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]]> Monitoring Kubernetes https://euphoricthought.com/monitoring-kubernetes/ Thu, 16 Mar 2023 01:27:20 +0000 https://www.euphoricthought.com/?p=1073 The post Monitoring Kubernetes appeared first on Euphoric Thought: IT Solutions and Services Provider in India.

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Importance of Monitoring Kubernetes

Is it easy to monitor Kubernetes?

Kubernetes is designed to manage service-oriented applications using containers distributed across clusters of hosts. Kubernetes provides mechanisms for application deployment, scheduling, updating, service discovery and scaling. Kubernetes has taken the container ecosystem by storm and it is the brain for your distributed container deployment.

While Kubernetes has the potential to dramatically simplify the act of deploying your application in containers – and across clouds – it also adds a new set of complexities for your day-to-day tasks, managing application performance, gaining visibility into services, and your typical monitoring -> alerting -> troubleshooting workflow.

Legacy monitoring tools, collecting metrics from static targets, built for monitoring servers that you could name and services that didn’t change overnight, worked well past, but won’t work well today. This is why these tools fail at monitoring Kubernetes:

  • Increase Infrastructure Complexity
    New layers of infrastructure complexity are appearing in the hopes of simplifying application deployments: dynamic provisioning via IaaS, automated configuration with configuration management tools, and lately, orchestration platforms like Kubernetes, which sit between your bare metal or virtual infrastructure and the services that empower your applications. This is why monitoring the Kubernetes health at the control plane is part of the job.

  • Scaling requirements and Cloud native explosionWhile we adopt cloud native architectures, the changes that they bring carry away an increased amount of smaller components. The number of metrics simply explodes and traditional monitoring systems just cannot keep up. While we used to know how many instances we had of each service component and where they were located, that’s no longer the case. Now, metrics have high cardinality. Kubernetes adds some multidimensional levels, like cluster, node, namespace or service, so the different aggregations or perspectives that need to be controlled can explode; many labels that represent attributes from the logical groups of the microservices, to application version, API endpoint, specific resources or actions, etc.

  • Microservices Architecture
    In addition to increased infrastructure complexity, new applications are being designed for microservices, where the number of components communicating with each other has increased in an order of magnitude. Each service can be distributed across multiple instances, and containers move across your infrastructure as needed. This is why monitoring the Kubernetes orchestration state is key to understanding if Kubernetes is doing its job. Trust but verify that all the instances of your service are up and running.In addition to increased infrastructure complexity, new applications are being designed for microservices, where the number of components communicating with each other has increased in an order of magnitude. Each service can be distributed across multiple instances, and containers move across your infrastructure as needed. This is why monitoring the Kubernetes orchestration state is key to understanding if Kubernetes is doing its job. Trust but verify that all the instances of your service are up and running.

Why is it important to monitor Kubernetes?

Kubernetes sits between your bare metal or virtual infrastructure and the services that run your apps. That’s why you need to monitor the health of the Kubernetes control plane. Kubernetes introduces all these new layers of infrastructure complexity. Service can be distributed across multiple instances. Containers are ephemeral and move across your infrastructure as needed.

Hence why monitoring the state of all resources is key to understanding if Kubernetes is doing its job.

It’s hard to see what happens inside of containers. Once a container dies the data inside it can never be recovered. You can’t see the logs after the fact making troubleshooting incredibly complicated. Monitoring tools need to be able to gather all the metrics and logs and store them in a safe, centralized location so you can access them at any point of time and troubleshoot issues.

What can we monitor ?

  • Docker based pod specific metric – CPU, Memory, Throttling, restart count etc.
  • Pod Related Metrics – Pod Status, container per pod, Container state, ready state etc
  • Project level metrics – Total Namespaces, Total Nodes, Total Deployments, Total Pods etc
  • Deployment metrics – Available Replicas, Deployment Health etc
  • Node level metrics – Cpu Allocatable, Cpu Capacity, Disk Pressure, Memory Allocatable Etc

Kubernetes Dashboard

Kub-Dash-1536x755

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