Deploying and Managing Containerized Applications with Kubernetes

Introduction to Kubernetes

You've scaled your serverless architecture to handle 10M requests/day. Suddenly, your database connection pool is maxed out, and you're looking for a more efficient way to manage your containerized applications. This is where Kubernetes comes in - an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications.

The Problem with Manual Deployment

Manually deploying and managing containerized applications can be time-consuming and prone to errors. You have to create and configure each container individually, which can lead to inconsistencies and difficulties in scaling. With Kubernetes, you can define your application configuration in a YAML file and let the system handle the deployment and scaling for you.

Setting Up a Kubernetes Cluster

To get started with Kubernetes, you need to set up a cluster. A cluster consists of one or more worker nodes, where your containers will run, and a control plane, which manages the cluster. You can set up a cluster on your local machine using Minikube or on a cloud provider like AWS or GCP.

Installing Minikube

To install Minikube, you can use the following command:

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube

Output:

minikube installation complete

Starting Minikube

To start Minikube, you can use the following command:

minikube start

Output:

* minikube v1.25.2 on Ubuntu 20.04
* Using the docker driver based on existing profile
* Starting control plane node minikube in cluster minikube
* Pulling base image ...
* Downloading Kubernetes v1.22.3 preload ...
* Creating docker container (CPUs=2, Memory=2200MB) ...
* Preparing Kubernetes v1.22.3 on Docker 20.