Systems | Development | Analytics | API | Testing

Imagine pushing a new release, only to have a crucial API endpoint break in production — leading to a service outage and angry customers. According to one recent survey, API failures account for more than 35% of production incidents in microservices environments. Reliable API testing is not optional anymore.

Every second your software slows down, you lose customers. Studies show that a delay of just 100 milliseconds can decrease conversion rates by 7%. That’s how fragile performance can be — and why software performance engineering has become a core discipline for every business serious about growth and reliability.

In my work helping teams adopt canaries, I’ve seen several recurring mistakes. Here’s a “pro tip” list to avoid them: Pro Tip: Don’t skip staging testing. Canary isn’t your only safety net—use staging to catch basic issues first. Is Your Infrastructure Ready for Global Traffic Spikes? Unexpected load surges can disrupt your services.

Did you know that nearly 35% of software bugs detected in late stages could have been caught at the build stage—if a proper smoke test were in place? What’s worse: those bugs often cost 10× more to fix later. If you’re a business owner or DevOps lead pushing for faster releases, you can’t afford to skip basic checks.

When your application crashes during peak traffic or returns cryptic error messages to frustrated users, the culprit is often hiding in plain sight: untested APIs. According to recent industry data, APIs now account for 71% of all internet traffic, yet many businesses still treat API testing as an afterthought.

Tricentis NeoLoad has always been built for scale. Whether you’re validating the performance of a mission-critical ERP rollout or running continuous load tests in a fast-moving DevOps pipeline, NeoLoad is designed to support even the most demanding performance testing requirements.

Testing software is a lot like checking your homework before turning it in. You want to make sure everything works, and you didn’t make any mistakes. In software, there are many kinds of tests, but two of the most common are unit testing and functional testing. Whether you’re a business owner, a developer, a student, or part of a web agency or DevOps team, knowing the difference can help you build better apps, websites, or tools. Is Your Infrastructure Ready for Global Traffic Spikes?

If you’re aiming to simulate real-world user behavior in your performance tests, Apache JMeter’s ability to utilize CSV data files is a game-changer. Whether you’re a business owner seeking to understand your website’s capacity or a developer fine-tuning application performance, leveraging CSV files in JMeter can enhance the realism and effectiveness of your tests.

Concurrency testing is a form of software testing that simulates multiple users or systems performing operations simultaneously. Its purpose is to verify that your application behaves as expected under concurrent loads, ensuring stability, reliability, and performance. This type of testing is particularly critical for applications such as e-commerce platforms, social media sites, or any service where multiple transactions occur at the same time.

Performance bottlenecks can break user experience – and fixing them often requires deep dives into tech stacks, complex tools, and long hours of scripting. That’s fine if you’re a seasoned engineer, but what if you’re a product owner, agency leader, student, or DevOps lead who just wants to know: How well does my app actually scale?