TPbenchmark goes global
The world of software development is always rapidly changing. One of the significant developments most companies have been challenged with is the growing importance of building fully cloud-native applications. Customers expect a Software as a Service (SaaS) subscription model and we can’t blame them! We understand the need to be able to access your services from any location at any time, without having to worry about any other irrelevant details. You simply need it to work.
In the last year, TPBenchmark has been undergoing technical modifications to allow for a cloud-native experience. In general usage, “cloud-native” is an approach to building and running applications that exploits the advantages of the cloud computing delivery model. “Cloud-native” is about how applications are created and deployed, not where. It implies that the apps live in the public cloud, as opposed to an on-premises datacenter.We‘ve migrated TPBenchmark to be a fully cloud-native application that allowed us to improve the overall speed, performance, reliability and security of the application. While this all sounds awesome, this new way of working also brings technical implications.
Because we‘re hosting our applications in the cloud and technically on different locations, preventing latency is key. Latency is the time that passes between a user action and the resulting response. In practical terms, latency is the time between a user action and the response from the website or application to this action – for instance, the delay between when a user clicks a button within TPBenchmark and the time it takes for the application to give a response. When you experiencing high latency, the TPBenchmark application would take longer to load certain pages.
But there’s also good news! We’ve developed a globally distributed TPBenchmark to solve this latency problem. These developments allow us to keep the application fast for everyone, no matter from which location you access TPBenchmark. Now users across the globe can enjoy TPBenchmark at full speed to reduce their time spent and increase their benchmarking efficiency.
