Category: Kubernetes

What are Kubernetes Events ?

Hi Guys !! I am back with another blog where we learn concepts both in Traditional and Hilarious way.

So What are waiting for “CHRISTMAS “ 🎄 Duhh Let’s go .

Kubernetes Events

Boring Version💤

Kubernetes Events are records of significant changes or occurrences within a Kubernetes cluster. They provide insights into what is happening inside the cluster, helping administrators and developers troubleshoot issues, monitor the system, and understand the behavior of Kubernetes objects.

Funny Version 😂

Imagine your Kubernetes cluster is a bustling city, and events are like the city’s wildest news headlines. Picture this: “Pod Pete Lands a New Gig, Buys Everyone Virtual Donuts!” or “Node Nancy Calls in Sick, Blames Her Wi-Fi for Playing Hooky!” Every time something crazy happens — whether it’s a pod getting a new assignment or a node mysteriously disappearing for a “coffee break” — an event gets published to keep the whole Kubernetes town buzzing with the latest gossip.

Continue reading “What are Kubernetes Events ?”

What is Helm in Kubernetes ?

Introduction

Hi Guys !! Let’s have some discussion on the helm in Kubernetes. I know, you all be thinking what’s new in that there are lots of blogs which exists right. But let’s try to understand this not in boring terms but through some of  funny scenarios and examples.

LET’s GET STARTED !!!

First we would understand some basics about Kubernetes and twist some boring definitions in fun way.

Continue reading “What is Helm in Kubernetes ?”

Solving Timeout Issues in Python Django on Kubernetes

The cloud world is constantly evolving, and migrating applications from virtual machines (VMs) to platforms like Kubernetes offers scalability, portability, and ease of management.
However, the migration process is not always straightforward, and sometimes the journey doesn’t go as smoothly as expected. Our Python Django application, which had been running flawlessly on a VM, suddenly turned sluggish and unresponsive after the migration.
Timeouts became a frustratingly common occurrence, and the overall performance of the application deteriorated significantly.
This unexpected slowdown was a major concern, as it impacted the user experience and could potentially lead to lost revenue and customer dissatisfaction.
In this blog post, we take you through the steps we followed to track down the performance issues and identify the root cause of our application’s slowdown in the Kubernetes environment.

Continue reading “Solving Timeout Issues in Python Django on Kubernetes”

Kafka on Kubernetes Made Easy with Strimzi (Step-by-Step Deployment)

Deploying Kafka on Kubernetes with Strimzi has quickly become the industry-standard approach for building scalable and production-ready data streaming platforms. As modern applications generate massive volumes of real-time data, organizations need a reliable, flexible, and automated way to manage Kafka clusters. Kubernetes provides the perfect foundation with its built-in orchestration, scaling, and self-healing capabilities, making it ideal for running stateful distributed systems like Kafka.

What is Event Streaming?

Event streams are similar to digital root systems in business, capturing real-time data from multiple sources for further processing and analysis. Continue reading “Kafka on Kubernetes Made Easy with Strimzi (Step-by-Step Deployment)”

Know How to Use Velero to Backup and Migrate Kubernetes Resources and Persistent Volumes

Introduction

“Murphy’s law doesn’t mean that something bad will happen. It means that whatever can happen, will happen.” This is something related to destiny but we should not totally rely upon it and should be prepared for the worst.
The same philosophy referenced above applies to the tech world too. That’s the reason we should be prepared with our backup options choices possibly, a data set or Kubernetes cluster.

“Always be ready with backup options like Velero for Kubernetes.” Continue reading “Know How to Use Velero to Backup and Migrate Kubernetes Resources and Persistent Volumes”