Here are some important suggestions on how to improve your search engine optimization (SEO) and advance your website and every page in the ranks of search engine result pages (SERPs) to the top of the page results.
When building performance tests, we all understand the value of using properties or variables to store static values outside of our tests. This ensures that any changes to these values need only be made in one place rather than having to make these changes in many tests. Sometime though you may have inherited a suite of JMeter tests, or you were ** under pressure to develop these tests** and in order to do so you hardcoded values in your tests.
When performance testing you need a set of requirements to measure your response times against. When defining these you should do so with your end users or business teams. It is relatively easy to predict volumes, load and users that will use your application as you will no doubt have some data based on your current systems. It is a lot harder to agree on what the response times of your application should be.
Loadero is a versatile tool that can be used for different types of web application tests. In order to provide a comfortable way of running the tests that you need, we have different test modes. In this blog post, we describe each of those in detail so you can pick the appropriate one every time you are launching a test run. There are currently 3 available test modes to choose from when creating your own Loadero test.
In this Blog Post we are going to discuss performance testing in production. Now before you think we have gone mad and lost our minds completely this is not as crazy as it sounds. Production is an environment that: All the things you spend a significant amount of time getting right in your performance testing environment and that can be difficult to achieve. Therefore, it seems like the perfect environment to performance test in.
Modern applications are constantly evolving, and with the advent of integrated DevOps toolchains applications can be built and deployed at ever-increasing velocities. This puts pressure on quality assurance teams to increase their velocity as well. With NeoLoad RealBrowser technology, we now offer a rapid way to record and immediately execute user paths to validate the performance of application builds as they move through their pipeline.
Speedscale creates load tests from recorded traffic so generating load is pretty core to what we do. As a brief overview, we record traffic from your service in one environment and replay it in another, optionally increasing load several fold. During a replay the Speedscale load generator makes requests against the system under test (SUT), with the responses from external dependencies like APIs or a payment processor optionally mocked out for consistency. Your service is the SUT here. Currently the load generator runs as a single process, usually inside a pod in Kubernetes. So how fast is this thing, and how did we get to where we are today?
As the rate of delivery for applications and services continues to rise, performance testing often takes a backseat in the race to delivering apps on-time. This 2022 holiday season is expected to be bigger than ever, with holiday shopping growing 15.5% to $236 billion. During this make-or-break time of year, companies can’t afford for their apps to become unreliable under heavy load.
API load testing, which identifies how stable your APIs are under different workloads, is a crucial part of performance testing. In this guide you will learn what is API load testing, when to perform load testing, and more. One growing pain of increasing iterative development and shortening release cycles is a growing inability to detect and fix inefficient code – whether in the CI/CD pipeline or in production.
