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The latest News and Information on Software Testing and related technologies.

Simplifying Regulatory Compliance with Xray Enterprise

In highly regulated industries such as healthcare, finance, and aerospace, compliance is a critical component of risk management and operational integrity. Regulatory bodies impose strict standards to ensure software reliability, data security, and transparency. Whether it's FDA regulations for medical devices, GDPR for data protection, or ISO standards for quality management, organizations must demonstrate that their software testing processes meet these stringent requirements.

Oracle Cloud's 25B release is coming: Here's how it will affect your testing strategy

Oracle recently published the release notes for Oracle Cloud’s 25B release, which will be available in late April. That means you only have a few weeks to get your test plan in place to ensure new features don’t impact your existing customizations or integrations. This release introduces several significant updates that will benefit your Oracle users, including Project Cost Distribution using available award funding and managing roles in Custom OAuth Apps.
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Modernize Test Data Management with Traffic Replay

In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire production databases, scrub any sensitive information, and then spin up test environments from these sanitized data sets. While TDM gets the job done, it can be costly, time-consuming, and can quickly become outdated. The issue of outdated data becomes more pronounced as deployment velocity increases and back end dependencies become more diverse (think: microservices).

Guaranteed Faster Deployments: The Vital LoadFocus-CircleCI Connection

Continuous Integration and Continuous Deployment (CI/CD) performance testing involves automatically testing your application’s performance as part of your development pipeline. By integrating performance tests into your CI/CD workflow, you can catch performance issues early, before they reach production. This approach ensures that every code change is verified not just for functionality, but also for performance impact.

Integrating LoadFocus API with GitHub Actions

Conventional testing methodologies falter where CI/CD performance testing triumphs. This revolutionary approach weaves performance validation intrinsically into your development lifecycle, transforming performance from an afterthought into a perpetual cornerstone throughout development. By vigilantly scrutinizing performance with every code alteration, you’ll preemptively neutralize issues before they cascade to users, ensuring flawless performance consistency across every release.

Ai Coding Tools: What'S Working, What'S Not, And Where It'S Headed

AI coding tools are no longer a novelty. From startups to enterprises, developers are using them to accelerate development, auto-generate tests, and build products faster than ever. Some engineering teams claim they’ve become up to 10x more productive with the right AI coding tool in their workflow. To get a real-world understanding of how these tools are being used, we hosted a community discussion with over 70 tech leaders—CEOs, CTOs, and engineering managers.

Top 5 web application testing services & how to choose

Many teams outsource web application testing to ship faster and free developers from test maintenance — without the cost and complexity of hiring in-house QA engineers. The right web application testing service can deliver on that promise. But most don’t. Instead, they introduce new issues into the testing process: Before outsourcing, ask how their testing service tackles these seven issues. In this guide, we show how our web application testing service, Rainforest QA, solves these problems.

The Best Approach to Databricks Data Masking for Enterprise-Scale Compliance

Databricks helps companies process large-scale data, and Databricks data masking ensures high-quality, compliant data. If your organization relies on data for AI/ML or analytics, it’s essential to ensure you are implementing a robust, compliant data masking strategy. Let’s explore how data masking works natively in Databricks. Then, we’ll go over challenges teams might run into in using native masking capabilities.