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

Playwright Check Suites Are Now GA - But What Does That Mean For You?

There are only a few companies that successfully invest in actively monitoring real user flows in production. I’ve been puzzled by the state of the art for many years, because I’m an anxious developer that always needs to know that production is “all right”. How can it be okay for all of us to wait for error logs, thrown exceptions or customer complains to learn about production issues?

Why do you only use Playwright for pre-release testing and not for production monitoring, too?

We've been running Playwright in production for years. Today, we, at Checkly, are going all in with Playwright Check Suites. Playwright Check Suites is our latest step towards uniting testing and monitoring into a single workflow. It's our biggest advancement yet! Here's why this matters: We're not adapting Playwright anymore. We're running it natively in production with full `playwright.config` support, complete custom dependency control, and support for every tag, spec, or configuration.

Get organized, actionable insights from complex test environments with Datadog Test Suites

Modern teams often run hundreds of synthetic tests across multiple services, environments, and user journeys. While these tests provide deep visibility, managing them as a flat list can quickly become overwhelming, especially as organizations scale and teams specialize.

Mitmproxy vs Proxymock: Replaying Traffic for Realistic API Testing

Replaying traffic is a core tool in your toolbox when you need to reproduce a tricky bug or validate how your app behaves. Traffic replay is especially valuable for testing complex software applications that rely on APIs and microservices, where integration and functionality must be thoroughly validated.

Your "Technical Debt" is a LIE! Meet QA Debt.

The REAL reason your system WILL FAIL. We all talk about technical debt, but QA Debt is the silent killer costing companies millions. It's the accumulation of skipped regression checks, outdated test suites, and ignored production data. The result? Unpredictable, catastrophic outages that can sink your business (and your career!). Learn how to identify and pay down your QA Debt before it's too late. It's not about testing more it's about testing SMARTER.

How Predictive Models Improve Test Prioritization and Efficiency

The software development cycles are becoming shorter, and the test suites are becoming longer. What used to be a days-long validation process can now be days long, not due to inefficient teams but due to the sheer size and complexity of the modern applications. Each new release introduces more regression cases, and it is just not sustainable to run them all, every time.

MySQL Mocking with Speedscale's Proxymock: A Complete Guide

Testing database-driven applications is notoriously painful. If your app depends on MySQL, you’ve probably spent hours setting up local databases, running migrations, loading data, and then cleaning everything up just to rerun your tests. This repetitive cycle slows development, breaks pipelines, and introduces inconsistency between local and production environments.

10+ Continuous Testing Tools To Help You Ship Quality Software

In July 2024, CrowdStrike — one of the world’s top cybersecurity companies — shipped a minor configuration update to its Windows security product. Within minutes, airlines, banks, hospitals, and retailers worldwide began crashing. The update wasn’t new code. It was a routine content file that slipped through with a bug in its safety checks. When Windows machines loaded it, the agent hit an out-of-bounds memory error and crashed. Devices blue-screened and got stuck in reboot loops.

QA Debt: The Silent Risk That Can Take Down Your Business

In engineering, we talk a lot about technical debt — the shortcuts and compromises made in code that pile up over time. But there’s another kind of debt that’s just as dangerous and far more invisible: QA debt. QA debt is what happens when testing isn’t given the same attention as features, architecture, or performance. It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.

Why ERP Implementation projects fail and how to avoid failures

ERP implementation is a strategic decision for any business. Organizations adopt ERP solutions to eliminate inefficiencies caused by disconnected systems, data silos, and a lack of actionable insights. When implemented effectively, ERP systems can significantly boost productivity. However, research from leading analysts indicates that over 70% of ERP implementation projects fail to meet timelines and budgets, while only 30% of digital transformation initiatives achieve their intended outcomes. In this blog, we'll explore the key reasons behind ERP implementation failures and how to avoid them.