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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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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

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Observability platform vs. observability tools

Dynatrace

Traces provide performance data about tasks that are performed by invoking a series of services. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

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Accelerate Machine Learning with Amazon SageMaker

All Things Distributed

Finally, figuring out how to move the model into a scalable production environment can often be slow and inefficient for those that do not do it routinely. Built-in, high-performance ML algorithms, re-engineered for greater, speed, accuracy, and data-throughput. You then specify the type and number of ML instances.

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