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

The 2026 Automotive Security Testing Companies List

Modern vehicles ship with more software than a small airliner. A single mid-range car can run 100 million lines of code across dozens of electronic control units, talking over CAN, Ethernet, Bluetooth, Wi-Fi, cellular and increasingly UWB. From a cybersecurity point of view every one of those interfaces is a potential attack vector and every OEM, Tier 1 and fleet operator on the planet now has to prove, on paper, that they have tested their vehicle from a hackers perspective.

AI-assisted testing, extensions updates, and more: k6 2.0 is here

For years, teams have relied on k6 to take a more proactive approach to performance testing, ensuring they can catch issues early and deliver more reliable user experiences. That approach has helped make k6 one of the most widely used performance testing tools in the open source community today, with more than 30k stars on GitHub. Last year, we introduced k6 1.0, a major release that brought TypeScript support, native extensions, revamped test insights, and production-grade stability guarantees.

SLI, SLO, SLA: What They Mean for Load Testing

Most engineers can recite these three terms. Fewer know how they actually connect during a load test. If your team is running performance tests without mapping results to SLOs, you're collecting data without a pass/fail signal. This short gives you the mental model to turn load test output into something your SLA can actually depend on.

Testing AI Image Platforms From The Prompt Up

Many AI image reviews begin at the end: they compare finished images and decide which one looks most impressive. That can be useful, but it misses something important. A finished image is only one part of the experience. The path from prompt to result matters just as much. When I tested AI Image Maker against other major platforms, I focused on how each product handled the full prompt journey, from the first instruction to the final usable image.

Secure performance testing at scale: Introducing secrets management for Grafana Cloud k6

To simulate real user behavior, performance tests often rely on API keys, tokens, or credentials to interact with real systems. But as your testing suite grows, this sensitive data can start to sprawl across scripts, configs, and environments, increasing the risk of exposure and making tests harder to manage and maintain. To address this challenge, we’re rolling out secrets management for Grafana Cloud k6, the fully managed performance testing platform powered by k6 OSS.

An Introduction to Disaster Recovery Testing: What You Need to Know in 2026 | Harness Blog

Businesses today run on computers, cloud systems, and digital tools. One big failure can stop everything. A cyber attack, a power outage, or a software glitch can shut down operations for hours or days. Disaster recovery testing is how you prove you can restore critical services when the unexpected happens. 
 In 2026, with hybrid and multi-cloud estates, distributed data, and tighter oversight, this is not a once-a-year fire drill.

Chaos Engineering vs. Traditional Testing: What's the Difference? | Resilience Testing | Harness

Stop treating system outages like surprises and start preparing for them. While traditional software testing is the bedrock of development, using unit, integration, and regression tests to verify that code meets specific requirements, it only accounts for what we expect to happen. Chaos Engineering takes a different approach by shifting the focus from bug prevention to system resilience. Instead of asking "does this work?", Chaos Engineering asks "how does this survive?" by injecting real-world turbulence like network latency or pod failures directly into production-like environments.

What Does Load Testing Measure? (Top 5 Performance Metrics) | Resilience Testing | Harness

Before you deploy, you need to know if your application can handle real-world traffic. In this video, we break down the 5 essential load testing metrics: Response Time (latency), Throughput (requests per second), Error Rates (system stability), Resource Utilization (CPU/Memory bottlenecks), and User Concurrency. Whether you're into Software Engineering, DevOps, or SRE, understanding these System Design fundamentals is the only way to prevent server crashes and ensure Software Scalability.