Load Testing sets your benchmarks for how you think a system will be used, usually between anticipated conditions of low, typical, and peak usage.
Whether they’re new applications or updates or migrations, we load test a wide range of technologies, including websites, mobile apps, ERP systems, CRM applications, financial trading platforms and more.
Load Testing is different to Stress Testing, which examines exceptional and extreme loads onto systems, but often run together.
We use cloud-based load generators via Amazon Web Services (AWS) and Microsoft Azure, and can quickly simulate large amounts of traffic from a wide range of geographic locations and IP addresses.
Our Consultants have significant expertise in the Open Source JMeter framework, as well as the leading tools on the market, such as the Micro Focus LoadRunner family. They run load testing projects onsite, remotely or off-shore. A combination of onsite and offsite can also be adopted, depending on the systems under test, software architecture and security or access limitations.
However the project is delivered, we work closely with you, involving you throughout the process, including inviting you via screen shares to view the tests running in real time.
Our approach to Load Testing is tailored for each client and project but includes working closely with you to identify the anticipated usage profile on the application then breaking down activities into user journeys, with corresponding transaction volumes and numbers of concurrent users.
We actively encourage skills transfer to your teams. Handover of testing assets on project completion includes knowledge transfer and initial mentoring. We can integrate Performance Testing into Agile development environments using Performance Engineering, so performance tests can be run automatically using Continuous Integration servers, in much the same way automated functional tests are run, to provide confidence at the Unit and System levels.
Why Load Test?
- Load testing tests the user concurrency and transaction levels to find the balancing point between server capacity and usage
- Load Testing measures the effects of high user concurrency on server load in your infrastructure under realistic conditions with network virtualisation
- Automation of user journeys allows user volumes and spikes in usage to be simulated
- Service virtualisation can be used when all elements of an application are not available for a performance test
- Tests are designed to identify bottlenecks within the layers of software, infrastructure and integrations that make up modern applications, so fixes can be quickly deployed and tests re-run.