Join us

Detect crashes in your Kubernetes cluster using kwatch and Slack

1_kK8Qni0yMJU_0Im8ERwemQ.png

Monitor all changes in your Kubernetes(K8s) cluster & detects crashes in your running apps in real time

Table of contents

1- What is kwatch?

2- Configure kwatch with Slack

3- Deploy kwatch

What is kwatch?

kwatch is an open-source project that started late in 2021. It aims to help you monitor all changes in your Kubernetes(K8s) cluster, detect crashes in your running apps, and publish notifications to your favorite channels (Slack, Discord, etc.) in real-time.

In this tutorial, I will help you setup and deploy kwatch on your Kubernetes cluster. Plus, integrate with Slack to get notified on a channel when there is a crash in your apps.

First of all, we need to get the webhook URL of the channel you want the notification to be received on it.

If you know how to generate the webhook URL you can escape this part and go to the configuration section.

Step 1: create a new slack channel (if you don’t have one already)

Step 2: Go to https://api.slack.com/apps and create an app from scratch and connect it with your workplace.

Step 3: Create an incoming webhook and activate it.

Step 4: Connect it to your channel

Finally we have the webhook URL for the channel.

Configure kwatch

Installation

You can install kwatch into your Kubernetes (k8s) cluster easily in one command.

Step 1: Get Configuration

Get the configuration template

Step 2: Edit config.yaml with the corresponding configs

Step 2: Apply Configuration

Step 3: Deploy kwatch

Deploy kwatch on your cluster with one command

After deploying you will get notified on the channel that kwatch has started successfully. Now, kwatch is monitoring your apps!

Here is an example of kwatch messages when a crash is detected.

You can find more documentation about kwatch here

If you like kwatch, give it a star on GitHub!

We are happy to hear feedback from you and if you have any request, or suggestion don’t hesitate to ping us on our channels (Discord, GitHub).


Only registered users can post comments. Please, login or signup.

Start blogging about your favorite technologies, reach more readers and earn rewards!

Join other developers and claim your FAUN account now!

Avatar

Andrew Ashraf Sabry

@trella-app

@andrew44ashraf
Software Engineer | Interested in distributed data systems, consistency, and scalability.
User Popularity
25

Influence

3k

Total Hits

1

Posts