Systems | Development | Analytics | API | Testing

In an ideal world, you want to have precisely the capacity to manage the requests of your users, from peak periods to off-peak hours. If you need three servers to attend to all the requests at peak periods and just one server at off-peak hours, running three servers all the time is going to drive up expenses, and running just one server all the time is going to mean that during peak periods, your systems will be overwhelmed and some clients will be denied service.

One morning, you realize you have a great idea for an API. You discuss it with your team, then start building out the business case and technical requirements. Where do you go from there? You could write out the business requirements for the API and then code it. Or you could describe your API in a specification language, like OpenAPI, and use that definition to improve your team's understanding of the API and do some early testing. But are either of these the best solution?

With the introduction of new application platforms like Kubernetes, oftentimes the DevOps tooling around it needs to evolve. Cloud Native technology is powerful but complex. This 5 minute demo video shows how Speedscale provides production simulation capabilities so you can check for resiliency, quality and scalability in your Kubernetes clusters. You can record data and traffic in production and replay sanitized traffic on the fly against a new cluster.

New software has to be thoroughly tested before it can be released to the public. As such, a software test plan is essential. The software development process is not complete without a comprehensive test plan. It details the measures you'll take to guarantee that your product or feature will function as intended and won't fail at the worst possible time for your customers.

The true purpose of Software Testing is to check that a product satisfies its standards or, more generally, to report on any discoveries that diminish the consumer experience. The function of a error in these more ambitious corporate objectives is more complex. Before you can release your application, you must demonstrate that it functions well and is free of bugs In the language of testing specialists, "error" often plays the role of the enemy.

Fused testing and stellar service drive another quarter of positive client ratings across categories August 15, 2022 — Testlio, the originator of networked testing, is now an Automation Testing Leader in the Summer 2022 Grid® Report — a first for the company, which was founded to evolve crowdtesting and provide better support and opportunities for manual testers.

Modern engineering and product teams must meet an increasingly high bar for quality and speed. While QA automation is marketed as a quick way to increase cadence to meet consumer demands, fusing manual and automated strategies creates a more effective, failsafe approach. Automated testing ensures consistency and immediate test execution, while manual testing offers flexibility and actionable insights.

Manually testing a website can be as simple as opening a web page or application in a staging environment, manually clicking through a list of test cases, and marking whether they passed or failed on a spreadsheet. And in fact, that's where most software teams start when they first invest in QA.