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Introduction In this article, I will guide you through deploying a Python Flask Server to Google Kubernetes Engine (GKE) . Previously, I wrote an article about deploying a NodeJS Application to GKE , which you can refer to for some basic information before continuing. Steps to Follow The process is quite similar to deploying a NodeJS Application and includes the following steps: Create a Python Flask Server Build a Docker image Push the Docker image Deploy the Docker image to GKE You will notice that when working with Kubernetes , the main difference is in the step where you build the Docker image . Depending on the application you need to deploy, there are different ways to build the Docker image . However, the common point is that once you build the Docker image , you have completed almost half of the process. This is because the subsequent steps involving Kubernetes are entirely the same. Detailed Process 1. Create a Python Flask Server In this step, you can either use an exist...

Introduction Previously, I wrote a guide on deploying a NodeJS TypeScript Function to Google Cloud Functions (GCF) and provided some basic information about GCF , which you can check out here. In this article, I'll walk you through a simple way to deploy a Go Function to GCF . Prerequisites Before we dive in, make sure you: Have a Google Cloud account and have enabled Cloud Functions . Have a basic understanding of Go . You can refer to this guide to set up the Go project used in this article. Implement Cloud Function After setting up your Go project , rename the module in the ` go.mod ` file to follow this format: ` example.com/moduleName `. This is required to deploy a Go Function . Next, update the content of the ` main.go ` file as follows: package packageName import ( "encoding/json" "fmt" "net/http" "strings" "time" ) // get method func GoCloudFunction1 ( w http . ResponseWriter , r * http . Request ) { f...

Introduction Google Cloud Functions (GCF) is a component of Google Cloud Platform (GCP) that allows you to deploy functions in a simple and flexible way. With a serverless approach, you can focus on developing your product without spending much time and effort managing infrastructure or cloud storage. I previously wrote about deploying a NodeJS TypeScript application to Google App Engine . Now, let's explore how Google Cloud Functions can help you deploy the necessary functions on-demand. GCF supports multiple runtime environments such as NodeJS , Golang , Python , Ruby , Java , and .NET . You can create a Cloud Function directly through the Google Cloud Console or via the Google Cloud CLI . In this article, I'll guide you through using the Google Cloud CLI to deploy a Cloud Function developed with NodeJS and TypeScript. Prerequisites Before we proceed, make sure you have the following: A Google Cloud account with Cloud Functions enabled Basic knowledge of NodeJS . ...

Introduction In this article, I will guide you through deploying a Golang Application to Google Kubernetes Engine ( GKE ). Previously, I wrote an article about deploying a NodeJS Application to GKE , which you can refer to for some basic information before continuing. Steps to Follow The process is quite similar to deploying a NodeJS Application and includes the following steps: Create a Golang Application Build a Docker image Push the Docker image Deploy the Docker image to GKE You will notice that when working with Kubernetes , the main difference is in the step where you build the Docker image. Depending on the application you need to deploy, there are different ways to build the Docker image . However, the common point is that once you build the Docker image , you have completed almost half of the process. This is because the subsequent steps involving Kubernetes are entirely the same. Detailed Process 1. Create a Golang Application In this step, you can either use an existin...

Introduction When developing applications, using environment variables is essential. They help configure values for different environments like development, staging, and production. Some environment variables, such as API keys , database connections , or passwords , are sensitive and need to be kept secure. If you're using Google Cloud , their Key Management Service (KMS) can help you manage keys, and allows you to encrypt and decrypt values using those keys. Prerequisites Before we proceed, make sure you have: A Google Cloud account with permissions to use KMS . Google Cloud CLI installed . Basic knowledge of NodeJS . You can refer to this guide to set up a NodeJS TypeScript project , which will be used in this tutorial. Key Management Service KMS works with key rings, which hold multiple keys. You use these keys to encrypt and decrypt string values or file data. Be cautious: if a key is deleted, any data encrypted with it can't be decrypted anymore. To create a key ring,...