Remove AWS Remove Innovation Remove Logistics Remove Performance
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Rethinking the 'production' of data

All Things Distributed

This starts with integrated platforms that can manage all activities, from market research to production to logistics. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud.

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The future of synthetic testing is in the cloud

Dynatrace

or “How will performance be accurate if the machine is not physical?” Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon.

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What are microservices? An agile architecture for software development

Dynatrace

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Focused on delivering business value. Complexity.

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What are microservices? An agile architecture for software development

Dynatrace

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Focused on delivering business value. Complexity.

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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

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5 key areas for tech leaders to watch in 2020

O'Reilly

From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., This is the logic of cloud native design: specific deployment contexts will still matter, of course—which features or constraints do developers need to take into account when they’re developing for AWS?

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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

Another example is for tracking inventory in a vast logistics system, where only a subset of its locations is relevant for a specific item. Like many AWS innovations, the desire to build a solution for a scalable graph database came from Amazon’s retail business. Graph databases at Amazon. Bringing it all together.

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