Zaved Akthar

Introduction When you run an application on Kubernetes, you usually interact with it using simple commands like: kubectl apply -f deployment.yaml But have you ever wondered what happens after pressing Enter? Behind the scenes, Kubernetes activates a powerful system called the Control Plane . It acts as the brain of the cluster, making decisions, maintaining the desired state, and ensuring your applications run smoothly. Understanding the Kubernetes Control Plane helps developers and DevOps engineers troubleshoot issues, optimize performance, and gain a deeper understanding of how Kubernetes works. What Is the Kubernetes Control Plane? The Kubernetes Control Plane is a collection of components responsible for: Managing the cluster's overall state Scheduling workloads Monitoring resources Responding to failures Maintaining desired configurations Think of it as the management center of Kubernetes. Worker nodes run your applications, but the Control Plane tells them what to do. Main C...

Introduction When you deploy an application in Kubernetes, one important question arises: Which node should run my Pod? The answer lies in one of Kubernetes' most important components—the Kubernetes Scheduler . The scheduler is like an intelligent traffic controller. It constantly checks the cluster and decides where each Pod should run based on available resources, rules, and policies. Understanding how the scheduler makes decisions can help you improve performance, reduce costs, and build more reliable applications. What is the Kubernetes Scheduler? The Kubernetes Scheduler is a control plane component responsible for assigning newly created Pods to suitable worker nodes. It does not run the containers itself. Instead, it simply decides: "This Pod should run on Node A." After the decision is made, the selected node starts the Pod. How Scheduling Works The scheduling process generally happens in two stages: 1. Filtering Stage The scheduler first removes nodes that canno...

Introduction Imagine launching a new feature, publishing a viral post, or running a big sale. Suddenly, thousands of users start visiting your application at the same time. If your infrastructure isn't prepared, your website may slow down or even crash. This is where Kubernetes shines. Kubernetes is designed to automatically manage applications during unexpected traffic increases. Instead of manually adding servers, Kubernetes can scale resources, distribute traffic, and maintain application availability. Let's understand how Kubernetes handles traffic spikes and why so many companies rely on it. What Is a Traffic Spike? A traffic spike occurs when the number of users or requests increases rapidly within a short period. Examples include: A product launch Black Friday sales Viral social media campaigns Breaking news events Major sporting events Mobile app updates Without proper infrastructure, these situations can lead to: Slow response times Application crashes Poor user experi...

Introduction Kubernetes has become one of the most popular technologies for deploying and managing applications in the cloud. Startups, enterprises, and even small businesses are adopting it to improve scalability and reliability. However, as Kubernetes became popular, many myths and misconceptions also started spreading. Some companies believe Kubernetes automatically solves every infrastructure problem, while others think it is only for giant tech companies. The truth lies somewhere in the middle. In this blog, we'll break down some of the biggest myths about Kubernetes and understand what actually happens in real-world environments. Myth #1: Kubernetes Automatically Reduces Cloud Costs Many companies move to Kubernetes expecting their cloud bills to decrease instantly. Reality: Kubernetes can actually increase costs if resources are not managed properly. Common reasons for higher costs: Overprovisioned CPU and memory Unused namespaces Idle clusters running 24/7 Too many replicas...

Introduction A few years ago, managing applications was simple. Companies deployed applications on a few servers, and everything worked fine. But today, applications serve millions of users, run across multiple cloud platforms, and need to be available 24/7. Kubernetes (often called K8s) has become the standard platform for deploying and managing modern applications because it automates deployment, scaling, and infrastructure management. Organizations of all sizes—from startups to large enterprises—are adopting Kubernetes to build faster, reduce downtime, and improve cloud efficiency.  What is Kubernetes? Kubernetes is an open-source container orchestration platform that automates: Application deployment Scaling Load balancing Self-healing Resource management Rolling updates Originally developed by Google and now maintained by the Cloud Native Computing Foundation, Kubernetes has become the backbone of modern cloud-native infrastructure.  Why Are Companies Moving to Kubernetes...

Introduction Kubernetes is famous for one powerful feature: self-healing . In traditional infrastructure, if an application crashes, an administrator often needs to manually restart it. Kubernetes takes a completely different approach. It continuously monitors the health of your applications and automatically attempts to recover from failures. But what exactly happens behind the scenes when a Pod crashes? Let's break down the entire process step by step. What Is a Pod in Kubernetes? A Pod is the smallest deployable unit in Kubernetes. It contains one or more containers that share: Network Storage Configuration Lifecycle Applications in Kubernetes run inside Pods. If a Pod fails, Kubernetes works to restore the desired state automatically. This behavior is one of the reasons Kubernetes is highly reliable for production workloads. ( Kubernetes ) What Causes a Pod to Crash? Pods can crash for many reasons: 1. Application Errors Unhandled exceptions Segmentation faults Memory leaks 2....