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How End-to-End Automation Testing Accelerates Software Delivery and Quality

The software testing in earlier times was a purely manual method, which was quite labor-intensive and included a high chance of errors. Over the years, the complexity of systems led to the need for a better and more effective method for testing these software systems. This is where automation testing transforms the face of software testing. First, automation was used for unit tests or simple checks of the components of a system that are not connected with other components.

The Fall and Rise of Embedded Plugins: IFrames - the Default Choice for Embedded Integration Design

With the rise in popularity of embedded integrations, and continued trial and error in this space, it’s best to review the core concepts of how embed frameworks operate. There are many ways platforms open their UI to third-parties, but one is considered original - the oldest, and likely still the most common method on the web - the old iframe model. In the olden days, the common way to enable third-party content in one’s interface was by iframing.

Shift Left: Bad Data in Event Streams, Part 1

At a high level, bad data is data that doesn’t conform to what is expected. For example, an email address without the “@”, or a credit card expiry where the MM/YY format is swapped to YY/MM. “Bad” can also include malformed and corrupted data, such that it’s completely indecipherable and effectively garbage.

How ClearML Stacks Up Against Alternate Solutions - Weights & Biases

At first glance, ClearML’s AI Development Center and alternatives such as Weights & Biases seem to offer similar capabilities for MLOps. For example, both solutions support experiment management, data management, and orchestration. However, each product is designed to solve a different use case. It is important to understand how these approaches affect the user experience.

6 Golang Testing Frameworks for Every Type of Test

What do good tests look like, and do you even need a Golang testing framework? It’s a loaded question with an open answer. Not only do tests help ensure that your code will work as intended, but good tests can also serve as documentation for your codebase, making it easier to update and maintain in the future, while accelerating and streamlining your software development process. In this article, we outline 6 Golang testing frameworks for every type of test.

Top 7 Kubernetes Chaos Engineering Tools

Developing highly resilient Kubernetes deployments is crucial for ensuring that your hosted applications in Kubernetes can effectively manage and recover from disruptions. This capability is vital in order to maintain continuous availability for your customers. The importance of resilience in your distributed system also escalates depending on your customer base and the critical nature of your application. Even brief periods of downtime can have a significant negative impact on your business.

Understanding Kotlin Generics: A Complete Guide for Developers

Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.

When To Use Katalon TestCloud, Katalon Runtime Engine, Or Both For Optimal Test Automation

Understanding when to leverage Katalon TestCloud and Katalon Runtime Engine (KRE) is essential to optimize your test automation strategy. Each tool serves a distinct purpose, from enabling scalable cloud-based test execution to ensuring robust performance in various environments. This guide will help you navigate their unique capabilities, empowering you to make informed decisions that maximize efficiency and effectiveness in your test automation.

What's new in Tricentis Vera 2024.2: Streamlined traceability and automated documentation generation

We are thrilled to announce the release of Vera 2024.2 In this new version, we are introducing significant enhancements such as traceability, streamlined importing of release and linked records, and automated documentation generation. These updates improve regulatory compliance, boost user productivity, and provide comprehensive visibility into your project’s lifecycle.

Reducing Your Data Risk to Drive Innovation

Organizations today face a myriad of risks that can affect their operations, reputation and bottom line. Prime among them are the existential threats to your data, including infrastructure risks and data risks. Comprehensive data governance solutions enable you to address both your infrastructure and data risk to build a resilient and secure environment that supports your operations and protects your valuable data assets.