MotherDuck’s co-founder and CEO Jordan Tigani sat down with Fivetran’s co-founder and CEO George Fraser to discuss the evolutions in data processing, data lakes and more.

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.

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.

Having strong security testing services are crucial, as demonstrated by the recent incident involving top cybersecurity service CrowdStrike, which rocked the industry. A global outage hurting companies, airlines, and government institutions throughout the globe was caused by a defective upgrade to their Falcon Sensor software. This terrible episode serves as a clear warning of the possible repercussions when security updates, intended to protect systems, contain undetected flaws.

Legacy databases often come with numerous challenges, such as limited scalability, outdated security measures, and compatibility issues with modern applications.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.

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.

In today's fast-paced software development environment, ensuring the quality and security of code is paramount. Static Code Analysis has emerged as a vital practice in this realm, offering a systematic method to examine code without the need to execute it. In this blog, you will delve into the essence of Static Code Analysis, its applicability, and the significant benefits it offers, particularly in the context of testing code.

API rate limiting involves using a mechanism to control the number of requests an API can handle in a certain time period. It's a key process for ensuring that APIs perform to a high level, provide a quality user experience, and protect the system from overload.

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.

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.