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kubebot's Introduction

Hi There, This project is a part of GSoC 2022 under SCoReLab.

Project Statement:

Kubernetes is a great tool for container orchestration, running Kubernetes in your production environment is getting traction in the Cloud industry. With growing DevOps tools, it is now a tedious and time-consuming task SREs and developers to continuously monitor their remote applications running inside a multicluster Kubernetes environment. Though there are some great tools using which we can monitor Kubernetes tools there is a need for easy deployment setup and an alerting tool that people can use to get alerts when something goes wrong inside their application running in a Kubernetes environment. It is often time-consuming to figure out the root cause of such issues, and most importantly not all alerts and issues are important and do not need human interaction.

KubeBot is a smart tool that pulls out of box metrics, traces, events and logs collection for applications running inside Kubernetes and reports all the collected data on a single dashboard and push notifications to users for critical ones. The collected metrics, traces, events and logs will help to debug the application running inside Kubernetes faster and effectively. A main feature of KubeBot is that after collecting traces, it does a root-cause analysis and sends alerts to the user regarding fixing the issue occuring in the cluster.

KubeBot architecture:

The project's workflow is as shown in the figure below, as we move ahead towards the execution, it may subject to change.

Project Link on GSoC Portal

KubeBot Design

kubebot's People

Contributors

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kubebot's Issues

functionality to collect logs from all pods

up until now, the coding for deploying the observability stack including open telemetry collector has been done. But to provide all the logs to be ingested by otel-col from all pods, coding needs to be done.

Installation of grafana using Helm charts.

Installation of grafana via helm chart will be more convenient. It will also let the developer to scale and dynamically (or statically) configure it to other services/deployments/ports/pods.

Installation of prometheus using Helm charts.

Installation of prometheus via helm chart will be more convenient. It will also let the developer to scale and dynamically (or statically) configure it to other services/deployments/ports/pods.

prometheus integration in custom operator

The custom operator needs to install and configure prometheus and configuration need to be done to pull metrics from kuberenetes to let prometheus display the metrics.

Node exporter API

an API for pulling custom resource metric data from kubernetes cluster.

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