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How Generative AI is Transforming Application Modernization

Per the trends suggested by Red Hat, modernization is among the topmost funding priorities (45%) for global businesses - all thanks to the promises of better digital experience, cloud-native, and quicker time to market. Generative AI can fulfill these promises by automating legacy system updates, enhancing user interfaces, facilitating cloud migration, and expediting software delivery.

Continuous Integration for WordPress: Best Practices for Testing and Deployment

While continuous integration is a common practice for most software development teams, the stateful nature of WordPress makes it more challenging to set up. For our open source WordPress plugin, we wanted to integrate our standard build and test process for every pull request using CircleCI. CircleCI is a cloud-based CI/CD platform that streamlines the development process for creating, testing, and deploying code changes.

How to Migrate from Legacy Databases to MS SQL Server

Legacy databases often come with numerous challenges, such as limited scalability, outdated security measures, and compatibility issues with modern applications. These constraints can hinder business agility and increase maintenance costs. Modernizing your database infrastructure is crucial for leveraging advanced features, enhancing security, and ensuring seamless integration with contemporary software.

Enhancing Your Elixir Codebase with Gleam

Do you write Elixir but sometimes miss the benefits of type safety we have in other languages? If the answer is "yes", you may want to take a look at Gleam. It is a relatively young language that runs on top of the BEAM platform, which means it can be added as an enhancement to an Elixir codebase without you having to rewrite everything. In this article, we will add Gleam code to an Elixir project.

Syntax Errors in Python: A Complete Explanation

Python is renowned for its simplicity and readability, making it a favorite among both beginners and seasoned developers. However, even the most experienced programmers encounter syntax errors that can bring their code to a screeching halt. These pesky errors can be frustrating, but understanding their nature and how to resolve them is essential for any Python coder.

How to organize a bug bash

Bug bashes are time-boxed events where participants (developers, testers, product managers, and customers) come together to identify and report as many bugs as possible, providing a fresh perspective on the software. They encourage cross-functional interaction, accelerate the bug discovery process, uncover critical issues, improve the overall quality of the software, and enhance product reliability before release. To organize one, you need to consider.

Accelerate your data streaming journey with the latest in Confluent Cloud

The Q2 2024 Confluent Cloud launch introduces a suite of enhancements across the four key pillars of a Data Streaming Platform - Stream, Connect, Process, and Govern – alongside some significant work we have been doing with our partner ecosystem to help customers unlock new possibilities. Confluent has helped over 4,900+ global enterprises start their data streaming journey and was recently named a Leader by Forrester Research in The Forrester Wave: Streaming Data Platforms, Q4 2023.

Generate API Tests With AI in Katalon Studio: A Detailed Guide

Introduction Automation is the key to efficiency and accuracy in today's fast-paced development cycles. The API test case generator (beta) in Katalon Studio is an AI-powered feature that streamlines the creation of test cases from OpenAPI/Swagger specifications. By automating this process, the generator significantly reduces the time and effort required for manual test case creation, paving the way for faster and more efficient API testing.

What is Istio Service Mesh?

As a developer working with microservices architectures, you may find yourself facing numerous challenges. Managing multiple services, each with its own potential points of failure, can be complex. Issues such as communication difficulties, security concerns, and lack of visibility are common in these environments. These challenges are not unique. As microservices architectures expand, they often introduce complexities that can be demanding for development teams to handle.