Remove Architecture Remove Software Performance Remove Speed Remove Tuning
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What is chaos engineering?

Dynatrace

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos testing enriches the organization’s intelligence about how software performs under stress and how to make it more resilient.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

In this model, software architecture and code ownership is a reflection of the organisational model. Secondly, fine-tune team composition based on work. It's important to understand the subtle difference between speed and velocity. Similarly, distance covered by directionless speed is just an illusion of progress.

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Accelerate Machine Learning with Amazon SageMaker

All Things Distributed

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.

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