GoPkg | A Golang Tech Blog

  User Story: Efficient Real-Time Data Processing with AWS Lambda in Golang Background: A financial technology startup aims to enhance its customer experience by providing real-time financial insights and personalized recommendations. To achieve this, they need a system that can process vast amounts of third-party user data rapidly and reliably. Challenge: The main challenge is to process and validate large datasets fetched from various financial data providers with low latency. The system must handle data inconsistencies, network failures, and scale according to demand without incurring high infrastructure costs. Solution: Deploy an AWS Lambda function written in Golang, which is known for its efficiency in concurrent processing and low-latency operations. The Lambda function will trigger on an event basis, processing data fetched from third-party APIs. Technical Details: Lambda Function in Golang : The Lambda function is implemented in Golang to leverage Go’s powerful concurrency fea

In many Golang interviews, candidates are often asked to demonstrate their understanding of concurrency, particularly through the use of goroutines and channels. Let's explore a classic example where we sequentially print even and odd numbers from 1 to 100 using two goroutines. Problem Statement We need to create two goroutines: Goroutine A: Prints odd numbers from 1 to 100. Goroutine B: Prints even numbers from 2 to 100. Both goroutines should print numbers in sequence, alternating between odd and even, using channels to coordinate their execution. Solution Explanation: WaitGroup ( sync.WaitGroup ) : Used to wait for a collection of goroutines to finish. wg.Add(2) adds two to the WaitGroup counter since there are two goroutines. Channel ( chan int ) : Used to synchronize the printing of odd and even numbers between the two goroutines. signalChannel := make(chan int) creates an unbuffered channel for signaling. Goroutine for Odd Numbers : Prints odd numbers from 1 to 100. After

Just for fun, we will create some basic ping pong game where two users are represented by two goroutines. We will explore how concurrency works in Go, understand the communication between two routines, and learn about the usage of context. Exercise: Implement a ping pong game using channels and goroutines. Two players will participate in the game, each represented by a goroutine. The game will continue for a duration of 2 minutes. Players will take turns holding the ball, waiting for a random time (0-10 seconds), and then serving it back. Each player serves at random intervals, adding an element of unpredictability to the game. At the end of the 2-minute period, the player holding the ball is declared the winner. Context and goroutines will be utilized to manage the game's duration and execution. Solution : Explanation: We create a buffered channel ball to simulate the movement of the ball between players. Using context.WithTimeout, we define a 120-second(2 min) time

Welcome back to the second part of our series on building a Kubernetes operator for managing WordPress deployments! In the first part, we laid the foundation by setting up the basic structure of our operator and defining custom resources. Now, it's time to take the next step and enhance our operator to automate the deployment and management of WordPress and MySQL instances within a Kubernetes cluster. In this installment, we'll focus on updating our WordPress controller to create deployments and services for both WordPress and MySQL. By the end of this guide, you'll have a fully functional operator capable of handling the complexities of deploying and maintaining WordPress applications in a Kubernetes environment. So, let's dive in and continue our journey of empowering Kubernetes with the capabilities of our custom operator! Step 1: Create `wordpress.go` in `internal/controller` In this step, we'll create a `wordpress.go` file within the `internal/controller` dire

What is a Kubernetes Operator? In short and straightforward terms, a Kubernetes Operator is a webhook that continuously listens for particular resource events. Developers can write logic, known as the Reconcile logic, to determine the next steps that should occur when these events happen. For example, let's consider a Wordpress application. To deploy this on Kubernetes, we need to create MySQL instances and a Wordpress site instance, and then expose the Wordpress service URL. This process involves manual intervention, but we can automate these tasks whenever our application deployment is applied. Prerequisites Before we start, make sure you have the following installed: Docker Minikube Operator SDK Golang (1.21.0) Now, watch in operator running terminal as the Operator triggers reconciliation for the Wordpress deployment. Sample Output : Cheers ! We've successfully set up the foundation for our Wordpress Operator using Golang. In this post, we've covered the initi