When we mean savings in cost per hire, we mean real bucks. One of the secrets to achieve this is through our state-of-the-art infrastructure. Assessments are prepared for all the contingencies with our auto scaling methodology. When there is a surge in test takers, the infrastructure automatically scales up and when there is a decline in transactions it automatically shrinks down. A layering of scalability is implemented for optimal performance at multiple API call levels.This also enables to conduct tests at bandwidth as low as 50kbps.
Browser-based coding questions basically involve coding in an editor, compiling and executing the compiled code. It is important to note that there are problems involved when all these actions are performed on single non-load balanced machines. This will bring in performance bottlenecks, security vulnerabilities and infrastructure load. So we use multi-layered load balancers, one at initial request level, second at compilation level and third at runner levels which are consistently correlated through appropriate APIs. This helps to bring the best of performance for user besides avoiding all induced security vulnerabilities.
“It doesn’t fail or crash, no matter what you do”. Typically, an assessment software required to maintain the sessions use cron jobs to poll the test taker machines for frequent updates on the state of the exam. When it comes to EYardstick. it is totally different. EYardstick sends a proprietary browser based software patch approximately of 10kb in size which stores the state of the exam and broadcasts it to our receiver in Amazon S3 bucket versus the typical response to server which usually is overloaded with data. This helps in instant recovery. There is an artificial intelligence component induced to analyse the test taker responses and behaviour to improve the validity and reliability of assessments. Also, the tests are adaptable to any electronic device with screen.
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