Tag: LoadTesting

PFLB has recently started testing a large-scale banking system. It was extremely difficult to organize a well-established testing process, so we’re sharing our ideas for you not to reinvent the wheel.

In Part 1 of this tutorial, we had a close look on how to update your load testing environment to make load testing results automation possible. Instead of preparing your load testing report manually for days, with the environment discussed above, your data structure will depend on you, not you on your data structure.

In Part 2, we’ve tackled a problem that engineers in every load testing company complain about, — namely, how Grafana slows down the system, — and several other quick fixes to your Grafana dashboards. We plunged into multiple databases and data sources, retention policies and tag filters.

Finally, in this part we want to enable you to automate your test reports using all the infrastructure you have hopefully designed after reading through parts 1&2.

There are basically two models of providing performance testing services to the customer: outstaff and fixed price. If your customers chose outstaffing, it means they have an experienced testing engineer on staff. This person will be able to set goals and tasks for the testing process and act as a performance testing manager. In this case, they only pay your engineers’ hours, and take full responsibility for the results.

Fixed price means that the responsibility is on your side. Your customer can’t run the tests themself, and wants a package deal. As a performance testing manager, you’re going to have to design everything from scratch. In this article, we’re looking at stages of a fixed price project, as seen by a QA project manager.

To launch a product, you often need several testing environments. But why? Why pile up equipment, overload engineers with tasks, and hire more staff? Is it really inevitable? We will take a closer look at this problem below, but trust us, it is.

Oracle’s Siebel CRM Technology provides the server framework to support Siebel Applications. It delivers comprehensive on-premise and on-demand Customer Relationship Management (CRM) solutions. Siebel CRM is specifically popular among banks and banking systems, since it has a lot of ready-made configurations that are convenient to use, i.e. Siebel CallCenter, Siebel Finance, Siebel Loyalty Management, etc. In this article, we share our thoughts on why you have to load test Siebel CRM and our life hacks on how to do it.

In this part, let’s tackle a problem that engineers in every load testing company complain about, — namely, how Grafana slows down the system, — and several other quick fixes to your Grafana dashboards.

In this article, we start with a major topic, and then, in the following parts, we’ll go deeper into super-hardcore stuff.
Test reports automation is the way to optimize testing costs and make performance testing more affordable. By cutting the cost, you will also be able to attract smaller businesses as customers. Good news: test reports automation is possible with the help of such popular tools as Grafana and InfluxDB, that all testers are already familiar with, to say the least.

There are few companies in the IT systems quality assurance market that have expertise in SAP testing, but PFLB is one of the few that do. Over the years, our specialists accumulated experience in retail that came in handy when helping X5 Retail, a major food retail company worth $16 billion, to support their internal IT systems. We started with SAP platform deployment, established testing processes in the retail giant’s systems, and maintained contact for more than 10 years.

Modern contact centers are often complex systems that involve close interaction between IVR, customer relation management (CRM), and many other services. Therefore, besides testing the performance of IVR itself and telephone communication channels, PFLB offers comprehensive testing services that allow you to evaluate the performance of both overall and individual services and to identify the influence of system components on each other.

A bare-metal server versus a cloud server: not a dilemma anymore. We have a great case on AWS cloud migration here!