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After this, there is often a long process of training that includes tuning the knobs and levers, called hyperparameters, that control the different aspects of the training algorithm. Built-in, high-performance ML algorithms, re-engineered for greater, speed, accuracy, and data-throughput.
As I started to work for MongoDB, I started to get questions about MongoDB performance. We do have a lot of great resources that can help with MongoDB performance. First of all, it is MongoDB and Atlas documentation: Performance , Monitoring , and Query Optimization.
It is rather a performance engineering process (with tuning, optimization, troubleshooting and fixing multi-user issues) eventually bringing the system to the proper state than just testing. If we have the testing approach dimension, the opposite of exploratory would be regression testing.
Secondly, fine-tune team composition based on work. Below are some of the rule on engagements when organising around the work Firstly, keep the composition of these delivery teams of fluid and flexible to the point that teams are short-lived (6 months at max).
As softwareperformance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. Chaos testing enriches the organization’s intelligence about how softwareperforms under stress and how to make it more resilient.
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